Development of Extended Content Standards for Biodiversity Data

NASA Astrophysics Data System (ADS)

Hugo, Wim; Schmidt, Jochen; Saarenmaa, Hannu

2013-04-01

Interoperability in the field of Biodiversity observation has been strongly driven by the development of a number of global initiatives (GEO, GBIF, OGC, TDWG, GenBank, …) and its supporting standards (OGC-WxS, OGC-SOS, Darwin Core (DwC), NetCDF, …). To a large extent, these initiatives have focused on discoverability and standardization of syntactic and schematic interoperability. Semantic interoperability is more complex, requiring development of domain-dependent conceptual data models, and extension of these models with appropriate ontologies (typically manifested as controlled vocabularies). Biodiversity content has been standardized partly, for example through Darwin Core for occurrence data and associated taxonomy, and through Genbank for genetic data, but other contexts of biodiversity observation have lagged behind - making it difficult to achieve semantic interoperability between distributed data sources. With this in mind, WG8 of GEO BON (charged with data and systems interoperability) has started a work programme to address a number of concerns, one of which is the gap in content standards required to make Biodiversity data truly interoperable. The paper reports on the framework developed by WG8 for the classification of Biodiversity observation data into 'families' of use cases and its supporting data schema, where gaps, if any, in the availability if content standards have been identified, and how these are to be addressed by way of an abstract data model and the development of associated content standards. It is proposed that a minimum set of standards (1) will be required to address the scope of Biodiversity content, aligned with levels and dimensions of observation, and based on the 'Essential Biodiversity Variables' (2) being developed by GEO BON . The content standards are envisaged as loosely separated from the syntactic and schematic standards used for the base data exchange: typically, services would offer an existing data standard (DwC, WFS, SOS, NetCDF), with a use-case dependent 'payload' embedded into the data stream. This enables the re-use of the abstract schema, and sometimes the implementation specification (for example XML, JSON, or NetCDF conventions) across services. An explicit aim will be to make the XML implementation specification re-usable as a DwC and a GML (SOS end WFS) extension. (1) Olga Lyashevska, Keith D. Farnsworth, How many dimensions of biodiversity do we need?, Ecological Indicators, Volume 18, July 2012, Pages 485-492, ISSN 1470-160X, 10.1016/j.ecolind.2011.12.016. (2) GEO BON: Workshop on Essential Biodiversity Variables (27-29 February 2012, Frascati, Italy). (http://www.earthobservations.org/geobon_docs_20120227.shtml)

Analysis of the Nursing Documentation in Use in Portugal - Building a Clinical Data Model of Nursing Centered on the Management of Treatment Regimen.

PubMed

Cruz, Inês; Bastos, Fernanda; Pereira, Filipe; Silva, Abel; Sousa, Paulino

2016-01-01

The use of technology to support information produced by nurses, especially information and communication technologies, is a current reality, but the proliferation of different statements of nursing diagnosis has made it more difficult for the production of indicators, hindering semantic interoperability of data. This study analyzed all statements of diagnosis focused on the management of medication regimen, customized to the Nursing Practice Support System (SAPE®) that was being used in Portugal in 2013. A total of 598 statements of nursing diagnoses about the phenomenon under study were analyzed, through an a priori analysis model - the ISO 18104 standard: 2003. The purpose was to identify terms used by nurses to describe the range of diagnoses, thus avoiding conceptual redundancy. After a content analysis process conducted by researchers and a broader group of experts, and when excluded all conceptual redundancy, 30 statements of nursing diagnosis were identified.

Maturity model for enterprise interoperability

NASA Astrophysics Data System (ADS)

Guédria, Wided; Naudet, Yannick; Chen, David

2015-01-01

Historically, progress occurs when entities communicate, share information and together create something that no one individually could do alone. Moving beyond people to machines and systems, interoperability is becoming a key factor of success in all domains. In particular, interoperability has become a challenge for enterprises, to exploit market opportunities, to meet their own objectives of cooperation or simply to survive in a growing competitive world where the networked enterprise is becoming a standard. Within this context, many research works have been conducted over the past few years and enterprise interoperability has become an important area of research, ensuring the competitiveness and growth of European enterprises. Among others, enterprises have to control their interoperability strategy and enhance their ability to interoperate. This is the purpose of the interoperability assessment. Assessing interoperability maturity allows a company to know its strengths and weaknesses in terms of interoperability with its current and potential partners, and to prioritise actions for improvement. The objective of this paper is to define a maturity model for enterprise interoperability that takes into account existing maturity models while extending the coverage of the interoperability domain. The assessment methodology is also presented. Both are demonstrated with a real case study.

Conceptual Data Model for Administrative Functions of a Typical Naval Ship, to Include: Drug and Alcohol Program Advisor, Watch Quarter and Station Bill, Safety, Medical and Security

DTIC Science & Technology

1991-09-01

Secretary of Defense as a method to achieve savings in the $9 billion spent annually on information technology in DoD and to promote interoperability and...by the Office of the Secretary of Defense as a method to achieve savings in the $9 billion spent annually on information technology in DoD and to...commander. Without standard conventions for terminolo- gy, tactics or operations, the different units would have to expend much more time and effort to

PACS/information systems interoperability using Enterprise Communication Framework.

PubMed

alSafadi, Y; Lord, W P; Mankovich, N J

1998-06-01

Interoperability among healthcare applications goes beyond connectivity to allow components to exchange structured information and work together in a predictable, coordinated fashion. To facilitate building an interoperability infrastructure, an Enterprise Communication Framework (ECF) was developed by the members of the Andover Working Group for Healthcare Interoperability (AWG-OHI). The ECF consists of four models: 1) Use Case Model, 2) Domain Information Model (DIM), 3) Interaction Model, and 4) Message Model. To realize this framework, a software component called the Enterprise Communicator (EC) is used. In this paper, we will demonstrate the use of the framework in interoperating a picture archiving and communication system (PACS) with a radiology information system (RIS).

77 FR 60680 - Development of the Nationwide Interoperable Public Safety Broadband Network

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-04

... public comment on the conceptual network architecture presentation made at the FirstNet Board of... business plan considerations. NTIA also seeks comment on the general concept of how to develop applications... network based on a single, nationwide network architecture called for under the Middle Class Tax Relief...

A Consideration of Quality-Attribute-Property for Interoperability of Quality Data

NASA Astrophysics Data System (ADS)

Tarumi, Shinya; Kozaki, Kouji; Kitamura, Yoshinobu; Mizoguchi, Riichiro

Descriptions of attribute and quality are essential elements in ontology developments. Needless to say, science data are description of attributes of target things and it is an important role of ontology to support the validity of and interoperability between the description. Although some upper ontologies such as DOLCE, BFO, etc. are already developed and extensively used, a careful examination reveals some rooms for improvement of them. While each ontology covers quality and quantity, the mutual interchangeability among these ontologies is not considered because each has been designed intended to develop a ``correct'' ontology of quality and quantity. Furthermore, due to variety of ways of data description, no single ontology can cover all the existing scientific data. In this paper, we investigate ``quality'' and ``value'' from an ontological viewpoint and propose a conceptual framework to deal with attribute, property and quality appearing in existing data descriptions in the nanotechnology domain. This framework can be considered as a reference ontology for describing quality with existing upper ontology. Furthermore, on the basis of the results of the consideration, we evaluate and refine a conceptual hierarchy of materials functions which has been built by nanomaterials researchers. Through the evaluation process, we discuss an effect of the definition of a conceptual framework for building/refining ontology. Such conceptual consideration about quality and value is not only the problem in nanomaterials domain but also a first step toward advancement of an intelligent sharing of scientific data in e-Science.

Organisational Interoperability: Evaluation and Further Development of the OIM Model

DTIC Science & Technology

2003-06-01

an Organizational Interoperability Maturity Model (OIM) to evaluate interoperability at the organizational level. The OIM considers the human ... activity aspects of military operations, which are not covered in other models. This paper describes how the model has been used to identify problems and to

Harmonising Nursing Terminologies Using a Conceptual Framework.

PubMed

Jansen, Kay; Kim, Tae Youn; Coenen, Amy; Saba, Virginia; Hardiker, Nicholas

2016-01-01

The International Classification for Nursing Practice (ICNP®) and the Clinical Care Classification (CCC) System are standardised nursing terminologies that identify discrete elements of nursing practice, including nursing diagnoses, interventions, and outcomes. While CCC uses a conceptual framework or model with 21 Care Components to classify these elements, ICNP, built on a formal Web Ontology Language (OWL) description logic foundation, uses a logical hierarchical framework that is useful for computing and maintenance of ICNP. Since the logical framework of ICNP may not always align with the needs of nursing practice, an informal framework may be a more useful organisational tool to represent nursing content. The purpose of this study was to classify ICNP nursing diagnoses using the 21 Care Components of the CCC as a conceptual framework to facilitate usability and inter-operability of nursing diagnoses in electronic health records. Findings resulted in all 521 ICNP diagnoses being assigned to one of the 21 CCC Care Components. Further research is needed to validate the resulting product of this study with practitioners and develop recommendations for improvement of both terminologies.

Maturity Model for Advancing Smart Grid Interoperability

DOE Office of Scientific and Technical Information (OSTI.GOV)

Knight, Mark; Widergren, Steven E.; Mater, J.

2013-10-28

Abstract—Interoperability is about the properties of devices and systems to connect and work properly. Advancing interoperability eases integration and maintenance of the resulting interconnection. This leads to faster integration, lower labor and component costs, predictability of projects and the resulting performance, and evolutionary paths for upgrade. When specifications are shared and standardized, competition and novel solutions can bring new value streams to the community of stakeholders involved. Advancing interoperability involves reaching agreement for how things join at their interfaces. The quality of the agreements and the alignment of parties involved in the agreement present challenges that are best met withmore » process improvement techniques. The GridWise® Architecture Council (GWAC) sponsored by the United States Department of Energy is supporting an effort to use concepts from capability maturity models used in the software industry to advance interoperability of smart grid technology. An interoperability maturity model has been drafted and experience is being gained through trials on various types of projects and community efforts. This paper describes the value and objectives of maturity models, the nature of the interoperability maturity model and how it compares with other maturity models, and experiences gained with its use.« less

Making Network Markets in Education: The Development of Data Infrastructure in Australian Schooling

ERIC Educational Resources Information Center

Sellar, Sam

2017-01-01

This paper examines the development of data infrastructure in Australian schooling with a specific focus on interoperability standards that help to make new markets for education data. The conceptual framework combines insights from studies of infrastructure, economic markets and digital data. The case of the Australian National Schools…

Enabling model checking for collaborative process analysis: from BPMN to `Network of Timed Automata'

NASA Astrophysics Data System (ADS)

Mallek, Sihem; Daclin, Nicolas; Chapurlat, Vincent; Vallespir, Bruno

2015-04-01

Interoperability is a prerequisite for partners involved in performing collaboration. As a consequence, the lack of interoperability is now considered a major obstacle. The research work presented in this paper aims to develop an approach that allows specifying and verifying a set of interoperability requirements to be satisfied by each partner in the collaborative process prior to process implementation. To enable the verification of these interoperability requirements, it is necessary first and foremost to generate a model of the targeted collaborative process; for this research effort, the standardised language BPMN 2.0 is used. Afterwards, a verification technique must be introduced, and model checking is the preferred option herein. This paper focuses on application of the model checker UPPAAL in order to verify interoperability requirements for the given collaborative process model. At first, this step entails translating the collaborative process model from BPMN into a UPPAAL modelling language called 'Network of Timed Automata'. Second, it becomes necessary to formalise interoperability requirements into properties with the dedicated UPPAAL language, i.e. the temporal logic TCTL.

Interoperability-oriented Integration of Failure Knowledge into Functional Knowledge and Knowledge Transformation based on Concepts Mapping

NASA Astrophysics Data System (ADS)

Koji, Yusuke; Kitamura, Yoshinobu; Kato, Yoshikiyo; Tsutsui, Yoshio; Mizoguchi, Riichiro

In conceptual design, it is important to develop functional structures which reflect the rich experience in the knowledge from previous design failures. Especially, if a designer learns possible abnormal behaviors from a previous design failure, he or she can add an additional function which prevents such abnormal behaviors and faults. To do this, it is a crucial issue to share such knowledge about possible faulty phenomena and how to cope with them. In fact, a part of such knowledge is described in FMEA (Failure Mode and Effect Analysis) sheets, function structure models for systematic design and fault trees for FTA (Fault Tree Analysis).

Design of an UML conceptual model and implementation of a GIS with metadata information for a seismic hazard assessment cooperative project.

NASA Astrophysics Data System (ADS)

Torres, Y.; Escalante, M. P.

2009-04-01

This work illustrates the advantages of using a Geographic Information System in a cooperative project with researchers of different countries, such as the RESIS II project (financed by the Norwegian Government and managed by CEPREDENAC) for seismic hazard assessment of Central America. As input data present different formats, cover distinct geographical areas and are subjected to different interpretations, data inconsistencies may appear and their management get complicated. To achieve data homogenization and to integrate them in a GIS, it is required previously to develop a conceptual model. This is accomplished in two phases: requirements analysis and conceptualization. The Unified Modeling Language (UML) is used to compose the conceptual model of the GIS. UML complies with ISO 19100 norms and allows the designer defining model architecture and interoperability. The GIS provides a frame for the combination of large geographic-based data volumes, with an uniform geographic reference and avoiding duplications. All this information contains its own metadata following ISO 19115 normative. In this work, the integration in the same environment of active faults and subduction slabs geometries, combined with the epicentres location, has facilitated the definition of seismogenetic regions. This is a great support for national specialists of different countries to make easier their teamwork. The GIS capacity for making queries (by location and by attributes) and geostatistical analyses is used to interpolate discrete data resulting from seismic hazard calculations and to create continuous maps as well as to check and validate partial results of the study. GIS-based products, such as complete, homogenised databases and thematic cartography of the region, are distributed to all researchers, facilitating cross-national communication, the project execution and results dissemination.

Environmental Models as a Service: Enabling Interoperability through RESTful Endpoints and API Documentation

EPA Science Inventory

Achieving interoperability in environmental modeling has evolved as software technology has progressed. The recent rise of cloud computing and proliferation of web services initiated a new stage for creating interoperable systems. Scientific programmers increasingly take advantag...

Environmental Models as a Service: Enabling Interoperability through RESTful Endpoints and API Documentation.

EPA Science Inventory

Achieving interoperability in environmental modeling has evolved as software technology has progressed. The recent rise of cloud computing and proliferation of web services initiated a new stage for creating interoperable systems. Scientific programmers increasingly take advantag...

Environmental Models as a Service: Enabling Interoperability through RESTful Endpoints and API Documentation (presentation)

EPA Science Inventory

Achieving interoperability in environmental modeling has evolved as software technology has progressed. The recent rise of cloud computing and proliferation of web services initiated a new stage for creating interoperable systems. Scientific programmers increasingly take advantag...

Knowledge Discovery from Biomedical Ontologies in Cross Domains.

PubMed

Shen, Feichen; Lee, Yugyung

2016-01-01

In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it is required to support the integration of data by facilitating semantic interoperability systems and practices. Semantic interoperability is difficult to achieve in these systems as the conceptual models underlying datasets are not fully exploited. In this paper, we propose a semantic framework, called Medical Knowledge Discovery and Data Mining (MedKDD), that aims to build a topic hierarchy and serve the semantic interoperability between different ontologies. For the purpose, we fully focus on the discovery of semantic patterns about the association of relations in the heterogeneous information network representing different types of objects and relationships in multiple biological ontologies and the creation of a topic hierarchy through the analysis of the discovered patterns. These patterns are used to cluster heterogeneous information networks into a set of smaller topic graphs in a hierarchical manner and then to conduct cross domain knowledge discovery from the multiple biological ontologies. Thus, patterns made a greater contribution in the knowledge discovery across multiple ontologies. We have demonstrated the cross domain knowledge discovery in the MedKDD framework using a case study with 9 primary biological ontologies from Bio2RDF and compared it with the cross domain query processing approach, namely SLAP. We have confirmed the effectiveness of the MedKDD framework in knowledge discovery from multiple medical ontologies.

Knowledge Discovery from Biomedical Ontologies in Cross Domains

PubMed Central

Shen, Feichen; Lee, Yugyung

2016-01-01

In recent years, there is an increasing demand for sharing and integration of medical data in biomedical research. In order to improve a health care system, it is required to support the integration of data by facilitating semantic interoperability systems and practices. Semantic interoperability is difficult to achieve in these systems as the conceptual models underlying datasets are not fully exploited. In this paper, we propose a semantic framework, called Medical Knowledge Discovery and Data Mining (MedKDD), that aims to build a topic hierarchy and serve the semantic interoperability between different ontologies. For the purpose, we fully focus on the discovery of semantic patterns about the association of relations in the heterogeneous information network representing different types of objects and relationships in multiple biological ontologies and the creation of a topic hierarchy through the analysis of the discovered patterns. These patterns are used to cluster heterogeneous information networks into a set of smaller topic graphs in a hierarchical manner and then to conduct cross domain knowledge discovery from the multiple biological ontologies. Thus, patterns made a greater contribution in the knowledge discovery across multiple ontologies. We have demonstrated the cross domain knowledge discovery in the MedKDD framework using a case study with 9 primary biological ontologies from Bio2RDF and compared it with the cross domain query processing approach, namely SLAP. We have confirmed the effectiveness of the MedKDD framework in knowledge discovery from multiple medical ontologies. PMID:27548262

Integrating Technologies, Methodologies, and Databases into a Comprehensive Terminology Management Environment to Support Interoperability among Clinical Information Systems

ERIC Educational Resources Information Center

Shakib, Shaun Cameron

2013-01-01

Controlled clinical terminologies are essential to realizing the benefits of electronic health record systems. However, implementing consistent and sustainable use of terminology has proven to be both intellectually and practically challenging. First, this project derives a conceptual understanding of the scope and intricacies of the challenge by…

Cross-domain Collaborative Research and People Interoperability: Beyond Knowledge Representation Frameworks

NASA Astrophysics Data System (ADS)

Fox, P. A.; Diviacco, P.; Busato, A.

2016-12-01

Geo-scientific research collaboration commonly faces of complex systems where multiple skills and competences are needed at the same time. Efficacy of such collaboration among researchers then becomes of paramount importance. Multidisciplinary studies draw from domains that are far from each other. Researchers also need to understand: how to extract what data they need and eventually produce something that can be used by others. The management of information and knowledge in this perspective is non-trivial. Interoperability is frequently sought in computer-to-computer environements, so-as to overcome mismatches in vocabulary, data formats, coordinate reference system and so on. Successful researcher collaboration also relies on interoperability of the people! Smaller, synchronous and face-to-face settings for researchers are knownn to enhance people interoperability. However changing settings; either geographically; temporally; or with increasing the team size, diversity, and expertise requires people-computer-people-computer (...) interoperability. To date, knowledge representation framework have been proposed but not proven as necessary and sufficient to achieve multi-way interoperability. In this contribution, we address epistemology and sociology of science advocating for a fluid perspective where science is mostly a social construct, conditioned by cognitive issues; especially cognitive bias. Bias cannot be obliterated. On the contrary it must be carefully taken into consideration. Information-centric interfaces built from different perspectives and ways of thinking by actors with different point of views, approaches and aims, are proposed as a means for enhancing people interoperability in computer-based settings. The contribution will provide details on the approach of augmenting and interfacing to knowledge representation frameworks to the cognitive-conceptual frameworks for people that are needed to meet and exceed collaborative research goals in the 21st century. A web based collaborative portal has been developed that integrates both approaches and will be presented. Reports will be given on initial tests that have encouraging results.

Watershed and Economic Data InterOperability (WEDO): Facilitating Discovery, Evaluation and Integration through the Sharing of Watershed Modeling Data

EPA Science Inventory

Watershed and Economic Data InterOperability (WEDO) is a system of information technologies designed to publish watershed modeling studies for reuse. WEDO facilitates three aspects of interoperability: discovery, evaluation and integration of data. This increased level of interop...

Data Modeling Challenges of Advanced Interoperability.

PubMed

Blobel, Bernd; Oemig, Frank; Ruotsalainen, Pekka

2018-01-01

Progressive health paradigms, involving many different disciplines and combining multiple policy domains, requires advanced interoperability solutions. This results in special challenges for modeling health systems. The paper discusses classification systems for data models and enterprise business architectures and compares them with the ISO Reference Architecture. On that basis, existing definitions, specifications and standards of data models for interoperability are evaluated and their limitations are discussed. Amendments to correctly use those models and to better meet the aforementioned challenges are offered.

Warfighter IT Interoperability Standards Study

DTIC Science & Technology

2012-07-22

data (e.g. messages) between systems ? ii) What process did you used to validate and certify semantic interoperability between your...other systems at this time There was no requirement to validate and certify semantic interoperability The DLS program exchanges data with... semantics Testing for System Compliance with Data Models Verify and Certify Interoperability Using Data

A step-by-step methodology for enterprise interoperability projects

NASA Astrophysics Data System (ADS)

Chalmeta, Ricardo; Pazos, Verónica

2015-05-01

Enterprise interoperability is one of the key factors for enhancing enterprise competitiveness. Achieving enterprise interoperability is an extremely complex process which involves different technological, human and organisational elements. In this paper we present a framework to help enterprise interoperability. The framework has been developed taking into account the three domains of interoperability: Enterprise Modelling, Architecture and Platform and Ontologies. The main novelty of the framework in comparison to existing ones is that it includes a step-by-step methodology that explains how to carry out an enterprise interoperability project taking into account different interoperability views, like business, process, human resources, technology, knowledge and semantics.

The Conceptual Structure of IMS Learning Design Does Not Impede Its Use for Authoring

ERIC Educational Resources Information Center

Derntl, M.; Neumann, S.; Griffiths, D.; Oberhuemer, P.

2012-01-01

IMS Learning Design (LD) is the only available interoperability specification in the area of technology enhanced learning that allows the definition and orchestration of complex activity flows and resource environments in a multirole setting. IMS LD has been available since 2003, and yet it has not been widely adopted either by practitioners or by…

caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability.

PubMed

Komatsoulis, George A; Warzel, Denise B; Hartel, Francis W; Shanbhag, Krishnakant; Chilukuri, Ram; Fragoso, Gilberto; Coronado, Sherri de; Reeves, Dianne M; Hadfield, Jillaine B; Ludet, Christophe; Covitz, Peter A

2008-02-01

One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service-Oriented Architecture (SSOA) for cancer research by the National Cancer Institute's cancer Biomedical Informatics Grid (caBIG).

caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability

PubMed Central

Komatsoulis, George A.; Warzel, Denise B.; Hartel, Frank W.; Shanbhag, Krishnakant; Chilukuri, Ram; Fragoso, Gilberto; de Coronado, Sherri; Reeves, Dianne M.; Hadfield, Jillaine B.; Ludet, Christophe; Covitz, Peter A.

2008-01-01

One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service Oriented Architecture (SSOA) for cancer research by the National Cancer Institute’s cancer Biomedical Informatics Grid (caBIG™). PMID:17512259

A conceptual holding model for veterinary applications.

PubMed

Ferrè, Nicola; Kuhn, Werner; Rumor, Massimo; Marangon, Stefano

2014-05-01

Spatial references are required when geographical information systems (GIS) are used for the collection, storage and management of data. In the veterinary domain, the spatial component of a holding (of animals) is usually defined by coordinates, and no other relevant information needs to be interpreted or used for manipulation of the data in the GIS environment provided. Users trying to integrate or reuse spatial data organised in such a way, frequently face the problem of data incompatibility and inconsistency. The root of the problem lies in differences with respect to syntax as well as variations in the semantic, spatial and temporal representations of the geographic features. To overcome these problems and to facilitate the inter-operability of different GIS, spatial data must be defined according to a \\"schema\\" that includes the definition, acquisition, analysis, access, presentation and transfer of such data between different users and systems. We propose an application \\"schema\\" of holdings for GIS applications in the veterinary domain according to the European directive framework (directive 2007/2/EC--INSPIRE). The conceptual model put forward has been developed at two specific levels to produce the essential and the abstract model, respectively. The former establishes the conceptual linkage of the system design to the real world, while the latter describes how the system or software works. The result is an application \\"schema\\" that formalises and unifies the information-theoretic foundations of how to spatially represent a holding in order to ensure straightforward information-sharing within the veterinary community.

Interoperability of Neuroscience Modeling Software

PubMed Central

Cannon, Robert C.; Gewaltig, Marc-Oliver; Gleeson, Padraig; Bhalla, Upinder S.; Cornelis, Hugo; Hines, Michael L.; Howell, Fredrick W.; Muller, Eilif; Stiles, Joel R.; Wils, Stefan; De Schutter, Erik

2009-01-01

Neuroscience increasingly uses computational models to assist in the exploration and interpretation of complex phenomena. As a result, considerable effort is invested in the development of software tools and technologies for numerical simulations and for the creation and publication of models. The diversity of related tools leads to the duplication of effort and hinders model reuse. Development practices and technologies that support interoperability between software systems therefore play an important role in making the modeling process more efficient and in ensuring that published models can be reliably and easily reused. Various forms of interoperability are possible including the development of portable model description standards, the adoption of common simulation languages or the use of standardized middleware. Each of these approaches finds applications within the broad range of current modeling activity. However more effort is required in many areas to enable new scientific questions to be addressed. Here we present the conclusions of the “Neuro-IT Interoperability of Simulators” workshop, held at the 11th computational neuroscience meeting in Edinburgh (July 19-20 2006; http://www.cnsorg.org). We assess the current state of interoperability of neural simulation software and explore the future directions that will enable the field to advance. PMID:17873374

A cloud-based approach for interoperable electronic health records (EHRs).

PubMed

Bahga, Arshdeep; Madisetti, Vijay K

2013-09-01

We present a cloud-based approach for the design of interoperable electronic health record (EHR) systems. Cloud computing environments provide several benefits to all the stakeholders in the healthcare ecosystem (patients, providers, payers, etc.). Lack of data interoperability standards and solutions has been a major obstacle in the exchange of healthcare data between different stakeholders. We propose an EHR system - cloud health information systems technology architecture (CHISTAR) that achieves semantic interoperability through the use of a generic design methodology which uses a reference model that defines a general purpose set of data structures and an archetype model that defines the clinical data attributes. CHISTAR application components are designed using the cloud component model approach that comprises of loosely coupled components that communicate asynchronously. In this paper, we describe the high-level design of CHISTAR and the approaches for semantic interoperability, data integration, and security.

Systems Architecture for a Nationwide Healthcare System.

PubMed

Abin, Jorge; Nemeth, Horacio; Friedmann, Ignacio

2015-01-01

From a national level to give Internet technology support, the Nationwide Integrated Healthcare System in Uruguay requires a model of Information Systems Architecture. This system has multiple healthcare providers (public and private), and a strong component of supplementary services. Thus, the data processing system should have an architecture that considers this fact, while integrating the central services provided by the Ministry of Public Health. The national electronic health record, as well as other related data processing systems, should be based on this architecture. The architecture model described here conceptualizes a federated framework of electronic health record systems, according to the IHE affinity model, HL7 standards, local standards on interoperability and security, as well as technical advice provided by AGESIC. It is the outcome of the research done by AGESIC and Systems Integration Laboratory (LINS) on the development and use of the e-Government Platform since 2008, as well as the research done by the team Salud.uy since 2013.

A logical approach to semantic interoperability in healthcare.

PubMed

Bird, Linda; Brooks, Colleen; Cheong, Yu Chye; Tun, Nwe Ni

2011-01-01

Singapore is in the process of rolling out a number of national e-health initiatives, including the National Electronic Health Record (NEHR). A critical enabler in the journey towards semantic interoperability is a Logical Information Model (LIM) that harmonises the semantics of the information structure with the terminology. The Singapore LIM uses a combination of international standards, including ISO 13606-1 (a reference model for electronic health record communication), ISO 21090 (healthcare datatypes), and SNOMED CT (healthcare terminology). The LIM is accompanied by a logical design approach, used to generate interoperability artifacts, and incorporates mechanisms for achieving unidirectional and bidirectional semantic interoperability.

e-Infrastructures for Astronomy: An Integrated View

NASA Astrophysics Data System (ADS)

Pasian, F.; Longo, G.

2010-12-01

As for other disciplines, the capability of performing “Big Science” in astrophysics requires the availability of large facilities. In the field of ICT, computational resources (e.g. HPC) are important, but are far from being enough for the community: as a matter of fact, the whole set of e-infrastructures (network, computing nodes, data repositories, applications) need to work in an interoperable way. This implies the development of common (or at least compatible) user interfaces to computing resources, transparent access to observations and numerical simulations through the Virtual Observatory, integrated data processing pipelines, data mining and semantic web applications. Achieving this interoperability goal is a must to build a real “Knowledge Infrastructure” in the astrophysical domain. Also, the emergence of new professional profiles (e.g. the “astro-informatician”) is necessary to allow defining and implementing properly this conceptual schema.

Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature.

PubMed

Liaw, S T; Rahimi, A; Ray, P; Taggart, J; Dennis, S; de Lusignan, S; Jalaludin, B; Yeo, A E T; Talaei-Khoei, A

2013-01-01

Effective use of routine data to support integrated chronic disease management (CDM) and population health is dependent on underlying data quality (DQ) and, for cross system use of data, semantic interoperability. An ontological approach to DQ is a potential solution but research in this area is limited and fragmented. Identify mechanisms, including ontologies, to manage DQ in integrated CDM and whether improved DQ will better measure health outcomes. A realist review of English language studies (January 2001-March 2011) which addressed data quality, used ontology-based approaches and is relevant to CDM. We screened 245 papers, excluded 26 duplicates, 135 on abstract review and 31 on full-text review; leaving 61 papers for critical appraisal. Of the 33 papers that examined ontologies in chronic disease management, 13 defined data quality and 15 used ontologies for DQ. Most saw DQ as a multidimensional construct, the most used dimensions being completeness, accuracy, correctness, consistency and timeliness. The majority of studies reported tool design and development (80%), implementation (23%), and descriptive evaluations (15%). Ontological approaches were used to address semantic interoperability, decision support, flexibility of information management and integration/linkage, and complexity of information models. DQ lacks a consensus conceptual framework and definition. DQ and ontological research is relatively immature with little rigorous evaluation studies published. Ontology-based applications could support automated processes to address DQ and semantic interoperability in repositories of routinely collected data to deliver integrated CDM. We advocate moving to ontology-based design of information systems to enable more reliable use of routine data to measure health mechanisms and impacts. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Neo: an object model for handling electrophysiology data in multiple formats

PubMed Central

Garcia, Samuel; Guarino, Domenico; Jaillet, Florent; Jennings, Todd; Pröpper, Robert; Rautenberg, Philipp L.; Rodgers, Chris C.; Sobolev, Andrey; Wachtler, Thomas; Yger, Pierre; Davison, Andrew P.

2014-01-01

Neuroscientists use many different software tools to acquire, analyze and visualize electrophysiological signals. However, incompatible data models and file formats make it difficult to exchange data between these tools. This reduces scientific productivity, renders potentially useful analysis methods inaccessible and impedes collaboration between labs. A common representation of the core data would improve interoperability and facilitate data-sharing. To that end, we propose here a language-independent object model, named “Neo,” suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. As a concrete instantiation of this object model we have developed an open source implementation in the Python programming language. In addition to representing electrophysiology data in memory for the purposes of analysis and visualization, the Python implementation provides a set of input/output (IO) modules for reading/writing the data from/to a variety of commonly used file formats. Support is included for formats produced by most of the major manufacturers of electrophysiology recording equipment and also for more generic formats such as MATLAB. Data representation and data analysis are conceptually separate: it is easier to write robust analysis code if it is focused on analysis and relies on an underlying package to handle data representation. For that reason, and also to be as lightweight as possible, the Neo object model and the associated Python package are deliberately limited to representation of data, with no functions for data analysis or visualization. Software for neurophysiology data analysis and visualization built on top of Neo automatically gains the benefits of interoperability, easier data sharing and automatic format conversion; there is already a burgeoning ecosystem of such tools. We intend that Neo should become the standard basis for Python tools in neurophysiology. PMID:24600386

Neo: an object model for handling electrophysiology data in multiple formats.

PubMed

Garcia, Samuel; Guarino, Domenico; Jaillet, Florent; Jennings, Todd; Pröpper, Robert; Rautenberg, Philipp L; Rodgers, Chris C; Sobolev, Andrey; Wachtler, Thomas; Yger, Pierre; Davison, Andrew P

2014-01-01

Neuroscientists use many different software tools to acquire, analyze and visualize electrophysiological signals. However, incompatible data models and file formats make it difficult to exchange data between these tools. This reduces scientific productivity, renders potentially useful analysis methods inaccessible and impedes collaboration between labs. A common representation of the core data would improve interoperability and facilitate data-sharing. To that end, we propose here a language-independent object model, named "Neo," suitable for representing data acquired from electroencephalographic, intracellular, or extracellular recordings, or generated from simulations. As a concrete instantiation of this object model we have developed an open source implementation in the Python programming language. In addition to representing electrophysiology data in memory for the purposes of analysis and visualization, the Python implementation provides a set of input/output (IO) modules for reading/writing the data from/to a variety of commonly used file formats. Support is included for formats produced by most of the major manufacturers of electrophysiology recording equipment and also for more generic formats such as MATLAB. Data representation and data analysis are conceptually separate: it is easier to write robust analysis code if it is focused on analysis and relies on an underlying package to handle data representation. For that reason, and also to be as lightweight as possible, the Neo object model and the associated Python package are deliberately limited to representation of data, with no functions for data analysis or visualization. Software for neurophysiology data analysis and visualization built on top of Neo automatically gains the benefits of interoperability, easier data sharing and automatic format conversion; there is already a burgeoning ecosystem of such tools. We intend that Neo should become the standard basis for Python tools in neurophysiology.

Semantic interoperability--HL7 Version 3 compared to advanced architecture standards.

PubMed

Blobel, B G M E; Engel, K; Pharow, P

2006-01-01

To meet the challenge for high quality and efficient care, highly specialized and distributed healthcare establishments have to communicate and co-operate in a semantically interoperable way. Information and communication technology must be open, flexible, scalable, knowledge-based and service-oriented as well as secure and safe. For enabling semantic interoperability, a unified process for defining and implementing the architecture, i.e. structure and functions of the cooperating systems' components, as well as the approach for knowledge representation, i.e. the used information and its interpretation, algorithms, etc. have to be defined in a harmonized way. Deploying the Generic Component Model, systems and their components, underlying concepts and applied constraints must be formally modeled, strictly separating platform-independent from platform-specific models. As HL7 Version 3 claims to represent the most successful standard for semantic interoperability, HL7 has been analyzed regarding the requirements for model-driven, service-oriented design of semantic interoperable information systems, thereby moving from a communication to an architecture paradigm. The approach is compared with advanced architectural approaches for information systems such as OMG's CORBA 3 or EHR systems such as GEHR/openEHR and CEN EN 13606 Electronic Health Record Communication. HL7 Version 3 is maturing towards an architectural approach for semantic interoperability. Despite current differences, there is a close collaboration between the teams involved guaranteeing a convergence between competing approaches.

Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): Standardised Reporting for Model Reproducibility, Interoperability, and Data Sharing

PubMed Central

Quinn, TA; Granite, S; Allessie, MA; Antzelevitch, C; Bollensdorff, C; Bub, G; Burton, RAB; Cerbai, E; Chen, PS; Delmar, M; DiFrancesco, D; Earm, YE; Efimov, IR; Egger, M; Entcheva, E; Fink, M; Fischmeister, R; Franz, MR; Garny, A; Giles, WR; Hannes, T; Harding, SE; Hunter, PJ; Iribe, G; Jalife, J; Johnson, CR; Kass, RS; Kodama, I; Koren, G; Lord, P; Markhasin, VS; Matsuoka, S; McCulloch, AD; Mirams, GR; Morley, GE; Nattel, S; Noble, D; Olesen, SP; Panfilov, AV; Trayanova, NA; Ravens, U; Richard, S; Rosenbaum, DS; Rudy, Y; Sachs, F; Sachse, FB; Saint, DA; Schotten, U; Solovyova, O; Taggart, P; Tung, L; Varró, A; Volders, PG; Wang, K; Weiss, JN; Wettwer, E; White, E; Wilders, R; Winslow, RL; Kohl, P

2011-01-01

Cardiac experimental electrophysiology is in need of a well-defined Minimum Information Standard for recording, annotating, and reporting experimental data. As a step toward establishing this, we present a draft standard, called Minimum Information about a Cardiac Electrophysiology Experiment (MICEE). The ultimate goal is to develop a useful tool for cardiac electrophysiologists which facilitates and improves dissemination of the minimum information necessary for reproduction of cardiac electrophysiology research, allowing for easier comparison and utilisation of findings by others. It is hoped that this will enhance the integration of individual results into experimental, computational, and conceptual models. In its present form, this draft is intended for assessment and development by the research community. We invite the reader to join this effort, and, if deemed productive, implement the Minimum Information about a Cardiac Electrophysiology Experiment standard in their own work. PMID:21745496

Ensuring a C2 Level of Trust and Interoperability in a Networked Windows NT Environment

DTIC Science & Technology

1996-09-01

addition, it should be noted that the device drivers, microkernel , memory manager, and Hardware Abstraction Layer are all hardware dependent. a. The...Executive The executive is further divided into three conceptual layers which are referred to as-the Hardware Abstraction Layer (HAL), the Microkernel , and...Subsystem Executive Subsystems Manager I/O Manager Cache Manager File Systems Microkernel Device Driver Hardware Abstraction Layer F HARDWARE Figure 3

Semantic and syntactic interoperability in online processing of big Earth observation data.

PubMed

Sudmanns, Martin; Tiede, Dirk; Lang, Stefan; Baraldi, Andrea

2018-01-01

The challenge of enabling syntactic and semantic interoperability for comprehensive and reproducible online processing of big Earth observation (EO) data is still unsolved. Supporting both types of interoperability is one of the requirements to efficiently extract valuable information from the large amount of available multi-temporal gridded data sets. The proposed system wraps world models, (semantic interoperability) into OGC Web Processing Services (syntactic interoperability) for semantic online analyses. World models describe spatio-temporal entities and their relationships in a formal way. The proposed system serves as enabler for (1) technical interoperability using a standardised interface to be used by all types of clients and (2) allowing experts from different domains to develop complex analyses together as collaborative effort. Users are connecting the world models online to the data, which are maintained in a centralised storage as 3D spatio-temporal data cubes. It allows also non-experts to extract valuable information from EO data because data management, low-level interactions or specific software issues can be ignored. We discuss the concept of the proposed system, provide a technical implementation example and describe three use cases for extracting changes from EO images and demonstrate the usability also for non-EO, gridded, multi-temporal data sets (CORINE land cover).

Semantic and syntactic interoperability in online processing of big Earth observation data

PubMed Central

Sudmanns, Martin; Tiede, Dirk; Lang, Stefan; Baraldi, Andrea

2018-01-01

ABSTRACT The challenge of enabling syntactic and semantic interoperability for comprehensive and reproducible online processing of big Earth observation (EO) data is still unsolved. Supporting both types of interoperability is one of the requirements to efficiently extract valuable information from the large amount of available multi-temporal gridded data sets. The proposed system wraps world models, (semantic interoperability) into OGC Web Processing Services (syntactic interoperability) for semantic online analyses. World models describe spatio-temporal entities and their relationships in a formal way. The proposed system serves as enabler for (1) technical interoperability using a standardised interface to be used by all types of clients and (2) allowing experts from different domains to develop complex analyses together as collaborative effort. Users are connecting the world models online to the data, which are maintained in a centralised storage as 3D spatio-temporal data cubes. It allows also non-experts to extract valuable information from EO data because data management, low-level interactions or specific software issues can be ignored. We discuss the concept of the proposed system, provide a technical implementation example and describe three use cases for extracting changes from EO images and demonstrate the usability also for non-EO, gridded, multi-temporal data sets (CORINE land cover). PMID:29387171

Interoperability and complementarity of simulation tools for beamline design in the OASYS environment

NASA Astrophysics Data System (ADS)

Rebuffi, Luca; Sanchez del Rio, Manuel

2017-08-01

In the next years most of the major synchrotron radiation facilities around the world will upgrade to 4th-generation Diffraction Limited Storage Rings using multi-bend-achromat technology. Moreover, several Free Electron Lasers are ready-to-go or in phase of completion. These events represent a huge challenge for the optics physicists responsible of designing and calculating optical systems capable to exploit the revolutionary characteristics of the new photon beams. Reliable and robust beamline design is nowadays based on sophisticated computer simulations only possible by lumping together different simulation tools. The OASYS (OrAnge SYnchrotron Suite) suite drives several simulation tools providing new mechanisms of interoperability and communication within the same software environment. OASYS has been successfully used during the conceptual design of many beamline and optical designs for the ESRF and Elettra- Sincrotrone Trieste upgrades. Some examples are presented showing comparisons and benchmarking of simulations against calculated and experimental data.

Interoperability format translation and transformation between IFC architectural design file and simulation file formats

DOEpatents

Chao, Tian-Jy; Kim, Younghun

2015-02-03

Automatically translating a building architecture file format (Industry Foundation Class) to a simulation file, in one aspect, may extract data and metadata used by a target simulation tool from a building architecture file. Interoperability data objects may be created and the extracted data is stored in the interoperability data objects. A model translation procedure may be prepared to identify a mapping from a Model View Definition to a translation and transformation function. The extracted data may be transformed using the data stored in the interoperability data objects, an input Model View Definition template, and the translation and transformation function to convert the extracted data to correct geometric values needed for a target simulation file format used by the target simulation tool. The simulation file in the target simulation file format may be generated.

Biodiversity Data Interoperability Issues: on the Opportunity of Exploiting O&M for Biotic Data Management

NASA Astrophysics Data System (ADS)

Oggioni, A.; Tagliolato, P.; Schleidt, K.; Carrara, P.; Grellet, S.; Sarretta, A.

2016-02-01

The state of the art in biodiversity data management unfortunately encompases a plethora of diverse data formats. Compared to other research fields, there is a lack in harmonization and standardization of these data. While data from traditional biodiversity collections (e.g. from museums) can be easily represented by existing standard as provided by TDWG, the growing number of field observations stemming from both VGI activities (e.g. iNaturalist) as well as from automated systems (e.g. animal biotelemetry) would at the very least require upgrades of current formats. Moreover, from an eco-informatics perspective, the integration and use of data from different scientific fields is the norm (abiotic data, geographic information, etc.); the possibility to represent this information and biodiversity data in a homogeneous way would be an advantage for interoperability, allowing for easy integration across environmental media. We will discuss the possibility to exploit the Open Geospatial Consortium/ISO standard, Observations and Measurements (O&M) [1], a generic conceptual model developed for observation data but with strong analogies with the biodiversity-oriented OBOE ontology [2]. The applicability of OGC O&M for the provision of biodiviersity occurence data has been suggested by the INSPIRE Cross Thematic Working Group on Observations & Measurements [3], Inspire Environmental Monitoring Facilities Thematic Working Group [4] and New Zealand Environmental Information Interoperability Framework [5]. This approach, in our opinion, could be an advantage for the biodiversity community. We will provide some examples for encoding biodiversity occurence data using the O&M standard in addition to highlighting the advatages offered by O&M in comparison to other representation formats. [1] Cox, S. (2013). Geographic information - Observations and measurements - OGC and ISO 19156. [2] Madin, J., Bowers, S., Schildhauer, M., Krivov, S., Pennington, D., & Villa, F. (2007). An ontology for describing and synthesizing ecological observation data. Ecological Informatics, 2(3), 279-296. [3] INSPIRE_D2.9_O&M_Guidelines_v2.0rc3.pdf[4] INSPIRE_DataSpecification_EF_v3.0.pdf[5] Watkins, A. (2012) Biodiversity Interoperability through Open Geospatial Standards

Data management in an object-oriented distributed aircraft conceptual design environment

NASA Astrophysics Data System (ADS)

Lu, Zhijie

In the competitive global market place, aerospace companies are forced to deliver the right products to the right market, with the right cost, and at the right time. However, the rapid development of technologies and new business opportunities, such as mergers, acquisitions, supply chain management, etc., have dramatically increased the complexity of designing an aircraft. Therefore, the pressure to reduce design cycle time and cost is enormous. One way to solve such a dilemma is to develop and apply advanced engineering environments (AEEs), which are distributed collaborative virtual design environments linking researchers, technologists, designers, etc., together by incorporating application tools and advanced computational, communications, and networking facilities. Aircraft conceptual design, as the first design stage, provides major opportunity to compress design cycle time and is the cheapest place for making design changes. However, traditional aircraft conceptual design programs, which are monolithic programs, cannot provide satisfactory functionality to meet new design requirements due to the lack of domain flexibility and analysis scalability. Therefore, we are in need of the next generation aircraft conceptual design environment (NextADE). To build the NextADE, the framework and the data management problem are two major problems that need to be addressed at the forefront. Solving these two problems, particularly the data management problem, is the focus of this research. In this dissertation, in light of AEEs, a distributed object-oriented framework is firstly formulated and tested for the NextADE. In order to improve interoperability and simplify the integration of heterogeneous application tools, data management is one of the major problems that need to be tackled. To solve this problem, taking into account the characteristics of aircraft conceptual design data, a robust, extensible object-oriented data model is then proposed according to the distributed object-oriented framework. By overcoming the shortcomings of the traditional approach of modeling aircraft conceptual design data, this data model makes it possible to capture specific detailed information of aircraft conceptual design without sacrificing generality, which is one of the most desired features of a data model for aircraft conceptual design. Based upon this data model, a prototype of the data management system, which is one of the fundamental building blocks of the NextADE, is implemented utilizing the state of the art information technologies. Using a general-purpose integration software package to demonstrate the efficacy of the proposed framework and the data management system, the NextADE is initially implemented by integrating the prototype of the data management system with other building blocks of the design environment, such as disciplinary analyses programs and mission analyses programs. As experiments, two case studies are conducted in the integrated design environments. One is based upon a simplified conceptual design of a notional conventional aircraft; the other is a simplified conceptual design of an unconventional aircraft. As a result of the experiments, the proposed framework and the data management approach are shown to be feasible solutions to the research problems.

Interoperability format translation and transformation between IFC architectural design file and simulation file formats

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chao, Tian-Jy; Kim, Younghun

Automatically translating a building architecture file format (Industry Foundation Class) to a simulation file, in one aspect, may extract data and metadata used by a target simulation tool from a building architecture file. Interoperability data objects may be created and the extracted data is stored in the interoperability data objects. A model translation procedure may be prepared to identify a mapping from a Model View Definition to a translation and transformation function. The extracted data may be transformed using the data stored in the interoperability data objects, an input Model View Definition template, and the translation and transformation function tomore » convert the extracted data to correct geometric values needed for a target simulation file format used by the target simulation tool. The simulation file in the target simulation file format may be generated.« less

Clinical data interoperability based on archetype transformation.

PubMed

Costa, Catalina Martínez; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2011-10-01

The semantic interoperability between health information systems is a major challenge to improve the quality of clinical practice and patient safety. In recent years many projects have faced this problem and provided solutions based on specific standards and technologies in order to satisfy the needs of a particular scenario. Most of such solutions cannot be easily adapted to new scenarios, thus more global solutions are needed. In this work, we have focused on the semantic interoperability of electronic healthcare records standards based on the dual model architecture and we have developed a solution that has been applied to ISO 13606 and openEHR. The technological infrastructure combines reference models, archetypes and ontologies, with the support of Model-driven Engineering techniques. For this purpose, the interoperability infrastructure developed in previous work by our group has been reused and extended to cover the requirements of data transformation. Copyright © 2011 Elsevier Inc. All rights reserved.

Dynamic Business Networks: A Headache for Sustainable Systems Interoperability

NASA Astrophysics Data System (ADS)

Agostinho, Carlos; Jardim-Goncalves, Ricardo

Collaborative networked environments emerged with the spread of the internet, contributing to overcome past communication barriers, and identifying interoperability as an essential property. When achieved seamlessly, efficiency is increased in the entire product life cycle. Nowadays, most organizations try to attain interoperability by establishing peer-to-peer mappings with the different partners, or in optimized networks, by using international standard models as the core for information exchange. In current industrial practice, mappings are only defined once, and the morphisms that represent them, are hardcoded in the enterprise systems. This solution has been effective for static environments, where enterprise and product models are valid for decades. However, with an increasingly complex and dynamic global market, models change frequently to answer new customer requirements. This paper draws concepts from the complex systems science and proposes a framework for sustainable systems interoperability in dynamic networks, enabling different organizations to evolve at their own rate.

ImTK: an open source multi-center information management toolkit

NASA Astrophysics Data System (ADS)

Alaoui, Adil; Ingeholm, Mary Lou; Padh, Shilpa; Dorobantu, Mihai; Desai, Mihir; Cleary, Kevin; Mun, Seong K.

2008-03-01

The Information Management Toolkit (ImTK) Consortium is an open source initiative to develop robust, freely available tools related to the information management needs of basic, clinical, and translational research. An open source framework and agile programming methodology can enable distributed software development while an open architecture will encourage interoperability across different environments. The ISIS Center has conceptualized a prototype data sharing network that simulates a multi-center environment based on a federated data access model. This model includes the development of software tools to enable efficient exchange, sharing, management, and analysis of multimedia medical information such as clinical information, images, and bioinformatics data from multiple data sources. The envisioned ImTK data environment will include an open architecture and data model implementation that complies with existing standards such as Digital Imaging and Communications (DICOM), Health Level 7 (HL7), and the technical framework and workflow defined by the Integrating the Healthcare Enterprise (IHE) Information Technology Infrastructure initiative, mainly the Cross Enterprise Document Sharing (XDS) specifications.

An overview of the model integration process: From pre ...

EPA Pesticide Factsheets

Integration of models requires linking models which can be developed using different tools, methodologies, and assumptions. We performed a literature review with the aim of improving our understanding of model integration process, and also presenting better strategies for building integrated modeling systems. We identified five different phases to characterize integration process: pre-integration assessment, preparation of models for integration, orchestration of models during simulation, data interoperability, and testing. Commonly, there is little reuse of existing frameworks beyond the development teams and not much sharing of science components across frameworks. We believe this must change to enable researchers and assessors to form complex workflows that leverage the current environmental science available. In this paper, we characterize the model integration process and compare integration practices of different groups. We highlight key strategies, features, standards, and practices that can be employed by developers to increase reuse and interoperability of science software components and systems. The paper provides a review of the literature regarding techniques and methods employed by various modeling system developers to facilitate science software interoperability. The intent of the paper is to illustrate the wide variation in methods and the limiting effect the variation has on inter-framework reuse and interoperability. A series of recommendation

Achieving interoperability for metadata registries using comparative object modeling.

PubMed

Park, Yu Rang; Kim, Ju Han

2010-01-01

Achieving data interoperability between organizations relies upon agreed meaning and representation (metadata) of data. For managing and registering metadata, many organizations have built metadata registries (MDRs) in various domains based on international standard for MDR framework, ISO/IEC 11179. Following this trend, two pubic MDRs in biomedical domain have been created, United States Health Information Knowledgebase (USHIK) and cancer Data Standards Registry and Repository (caDSR), from U.S. Department of Health & Human Services and National Cancer Institute (NCI), respectively. Most MDRs are implemented with indiscriminate extending for satisfying organization-specific needs and solving semantic and structural limitation of ISO/IEC 11179. As a result it is difficult to address interoperability among multiple MDRs. In this paper, we propose an integrated metadata object model for achieving interoperability among multiple MDRs. To evaluate this model, we developed an XML Schema Definition (XSD)-based metadata exchange format. We created an XSD-based metadata exporter, supporting both the integrated metadata object model and organization-specific MDR formats.

United States Air Force Graduate Student Research Program for 1990. Program Technical Report. Volume 1

DTIC Science & Technology

1991-06-05

functions on the excavator. 28-6 m0 E Figure 1: Conceptual User Interface for the Rapid Runway Repair (RRR) Remote Control System IV. COMMUNICATION SYSTEM...Vehicle Systems Conference, Dayton, OH. Mariani, D., 1988, "Robotic Vehicle Communications Interoperability," RD& E Center Technical Report, US Army Tank...D.g e : BS Va;,derbilt University Specialty: Computer Engineering Electrical Eng. Dept. Absigned: Arnold Er-gineering Nashville, TN 37240 Developmer

Business Systems Modernization: Strategy for Evolving DOD’s Business Enterprise Architecture Offers a Conceptual Approach, but Execution Details are Needed

DTIC Science & Technology

2007-04-01

Services and System Capabilities Enterprise Rules and Standards for Interoperability Navy AFArmy TRANS COM DFASDLA Ente prise Shared Services and System...Where commonality among components exists, there are also opportunities for identifying and leveraging shared services . A service-oriented architecture...and (3) shared services . The BMA federation strategy, according to these officials, is the first mission area federation strategy, and it is their

The role of markup for enabling interoperability in health informatics.

PubMed

McKeever, Steve; Johnson, David

2015-01-01

Interoperability is the faculty of making information systems work together. In this paper we will distinguish a number of different forms that interoperability can take and show how they are realized on a variety of physiological and health care use cases. The last 15 years has seen the rise of very cheap digital storage both on and off site. With the advent of the Internet of Things people's expectations are for greater interconnectivity and seamless interoperability. The potential impact these technologies have on healthcare are dramatic: from improved diagnoses through immediate access to a patient's electronic health record, to in silico modeling of organs and early stage drug trials, to predictive medicine based on top-down modeling of disease progression and treatment. We will begin by looking at the underlying technology, classify the various kinds of interoperability that exist in the field, and discuss how they are realized. We conclude with a discussion on future possibilities that big data and further standardizations will enable.

The Importance of State and Context in Safe Interoperable Medical Systems

PubMed Central

Jaffe, Michael B.; Robkin, Michael; Rausch, Tracy; Arney, David; Goldman, Julian M.

2016-01-01

This paper describes why “device state” and “patient context” information are necessary components of device models for safe interoperability. This paper includes a discussion of the importance of describing the roles of devices with respect to interactions (including human user workflows involving devices, and device to device communication) within a system, particularly those intended for use at the point-of-care, and how this role information is communicated. In addition, it describes the importance of clinical scenarios in creating device models for interoperable devices. PMID:27730013

A development framework for semantically interoperable health information systems.

PubMed

Lopez, Diego M; Blobel, Bernd G M E

2009-02-01

Semantic interoperability is a basic challenge to be met for new generations of distributed, communicating and co-operating health information systems (HIS) enabling shared care and e-Health. Analysis, design, implementation and maintenance of such systems and intrinsic architectures have to follow a unified development methodology. The Generic Component Model (GCM) is used as a framework for modeling any system to evaluate and harmonize state of the art architecture development approaches and standards for health information systems as well as to derive a coherent architecture development framework for sustainable, semantically interoperable HIS and their components. The proposed methodology is based on the Rational Unified Process (RUP), taking advantage of its flexibility to be configured for integrating other architectural approaches such as Service-Oriented Architecture (SOA), Model-Driven Architecture (MDA), ISO 10746, and HL7 Development Framework (HDF). Existing architectural approaches have been analyzed, compared and finally harmonized towards an architecture development framework for advanced health information systems. Starting with the requirements for semantic interoperability derived from paradigm changes for health information systems, and supported in formal software process engineering methods, an appropriate development framework for semantically interoperable HIS has been provided. The usability of the framework has been exemplified in a public health scenario.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Widergren, Steven E.; Knight, Mark R.; Melton, Ronald B.

The Interoperability Strategic Vision whitepaper aims to promote a common understanding of the meaning and characteristics of interoperability and to provide a strategy to advance the state of interoperability as applied to integration challenges facing grid modernization. This includes addressing the quality of integrating devices and systems and the discipline to improve the process of successfully integrating these components as business models and information technology improve over time. The strategic vision for interoperability described in this document applies throughout the electric energy generation, delivery, and end-use supply chain. Its scope includes interactive technologies and business processes from bulk energy levelsmore » to lower voltage level equipment and the millions of appliances that are becoming equipped with processing power and communication interfaces. A transformational aspect of a vision for interoperability in the future electric system is the coordinated operation of intelligent devices and systems at the edges of grid infrastructure. This challenge offers an example for addressing interoperability concerns throughout the electric system.« less

Watershed and Economic Data InterOperability (WEDO) ...

EPA Pesticide Factsheets

Watershed and Economic Data InterOperability (WEDO) is a system of information technologies designed to publish watershed modeling studies for reuse. WEDO facilitates three aspects of interoperability: discovery, evaluation and integration of data. This increased level of interoperability goes beyond the current practice of publishing modeling studies as reports or journal articles. Rather than summarized results, modeling studies can be published with their full complement of input data, calibration parameters and output with associated metadata for easy duplication by others. Reproducible science is possible only if researchers can find, evaluate and use complete modeling studies performed by other modelers. WEDO greatly increases transparency by making detailed data available to the scientific community.WEDO is a next generation technology, a Web Service linked to the EPA’s EnviroAtlas for discovery of modeling studies nationwide. Streams and rivers are identified using the National Hydrography Dataset network and stream IDs. Streams with modeling studies available are color coded in the EnviroAtlas. One can select streams within a watershed of interest to readily find data available via WEDO. The WEDO website is linked from the EnviroAtlas to provide a thorough review of each modeling study. WEDO currently provides modeled flow and water quality time series, designed for a broad range of watershed and economic models for nutrient trading market analysis. M

CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard.

PubMed

Park, Yu Rang; Yoon, Young Jo; Jang, Tae Hun; Seo, Hwa Jeong; Kim, Ju Han

2014-01-01

Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models. Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated. In total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model. A feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models.

Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record.

PubMed

Walonoski, Jason; Kramer, Mark; Nichols, Joseph; Quina, Andre; Moesel, Chris; Hall, Dylan; Duffett, Carlton; Dube, Kudakwashe; Gallagher, Thomas; McLachlan, Scott

2017-08-30

Our objective is to create a source of synthetic electronic health records that is readily available; suited to industrial, innovation, research, and educational uses; and free of legal, privacy, security, and intellectual property restrictions. We developed Synthea, an open-source software package that simulates the lifespans of synthetic patients, modeling the 10 most frequent reasons for primary care encounters and the 10 chronic conditions with the highest morbidity in the United States. Synthea adheres to a previously developed conceptual framework, scales via open-source deployment on the Internet, and may be extended with additional disease and treatment modules developed by its user community. One million synthetic patient records are now freely available online, encoded in standard formats (eg, Health Level-7 [HL7] Fast Healthcare Interoperability Resources [FHIR] and Consolidated-Clinical Document Architecture), and accessible through an HL7 FHIR application program interface. Health care lags other industries in information technology, data exchange, and interoperability. The lack of freely distributable health records has long hindered innovation in health care. Approaches and tools are available to inexpensively generate synthetic health records at scale without accidental disclosure risk, lowering current barriers to entry for promising early-stage developments. By engaging a growing community of users, the synthetic data generated will become increasingly comprehensive, detailed, and realistic over time. Synthetic patients can be simulated with models of disease progression and corresponding standards of care to produce risk-free realistic synthetic health care records at scale. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Improving component interoperability and reusability with the java connection framework (JCF): overview and application to the ages-w environmental model

USDA-ARS?s Scientific Manuscript database

Environmental modeling framework (EMF) design goals are multi-dimensional and often include many aspects of general software framework development. Many functional capabilities offered by current EMFs are closely related to interoperability and reuse aspects. For example, an EMF needs to support dev...

Smart Grid Interoperability Maturity Model Beta Version

DOE Office of Scientific and Technical Information (OSTI.GOV)

Widergren, Steven E.; Drummond, R.; Giroti, Tony

The GridWise Architecture Council was formed by the U.S. Department of Energy to promote and enable interoperability among the many entities that interact with the electric power system. This balanced team of industry representatives proposes principles for the development of interoperability concepts and standards. The Council provides industry guidance and tools that make it an available resource for smart grid implementations. In the spirit of advancing interoperability of an ecosystem of smart grid devices and systems, this document presents a model for evaluating the maturity of the artifacts and processes that specify the agreement of parties to collaborate across anmore » information exchange interface. You are expected to have a solid understanding of large, complex system integration concepts and experience in dealing with software component interoperation. Those without this technical background should read the Executive Summary for a description of the purpose and contents of the document. Other documents, such as checklists, guides, and whitepapers, exist for targeted purposes and audiences. Please see the www.gridwiseac.org website for more products of the Council that may be of interest to you.« less

The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions

PubMed Central

2011-01-01

Background The practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models. Findings We outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described. Conclusions RICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i) supporting more effective navigation and re-use of clinical DMRs, as well as (ii) sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability. PMID:21878109

Improving Groundwater Data Interoperability: Results of the Second OGC Groundwater Interoperability Experiment

NASA Astrophysics Data System (ADS)

Lucido, J. M.; Booth, N.

2014-12-01

Interoperable sharing of groundwater data across international boarders is essential for the proper management of global water resources. However storage and management of groundwater data is often times distributed across many agencies or organizations. Furthermore these data may be represented in disparate proprietary formats, posing a significant challenge for integration. For this reason standard data models are required to achieve interoperability across geographical and political boundaries. The GroundWater Markup Language 1.0 (GWML1) was developed in 2010 as an extension of the Geography Markup Language (GML) in order to support groundwater data exchange within Spatial Data Infrastructures (SDI). In 2013, development of GWML2 was initiated under the sponsorship of the Open Geospatial Consortium (OGC) for intended adoption by the international community as the authoritative standard for the transfer of groundwater feature data, including data about water wells, aquifers, and related entities. GWML2 harmonizes GWML1 and the EU's INSPIRE models related to geology and hydrogeology. Additionally, an interoperability experiment was initiated to test the model for commercial, technical, scientific, and policy use cases. The scientific use case focuses on the delivery of data required for input into computational flow modeling software used to determine the flow of groundwater within a particular aquifer system. It involves the delivery of properties associated with hydrogeologic units, observations related to those units, and information about the related aquifers. To test this use case web services are being implemented using GWML2 and WaterML2, which is the authoritative standard for water time series observations, in order to serve USGS water well and hydrogeologic data via standard OGC protocols. Furthermore, integration of these data into a computational groundwater flow model will be tested. This submission will present the GWML2 information model and results of an interoperability experiment with a particular emphasis on the scientific use case.

The National Opportunity for Interoperability and its Benefits for a Reliable, Robust, and Future Grid Realized Through Buildings

DOE Office of Scientific and Technical Information (OSTI.GOV)

None, None

Today, increasing numbers of intermittent generation sources (e.g., wind and photovoltaic) and new mobile intermittent loads (e.g., electric vehicles) can significantly affect traditional utility business practices and operations. At the same time, a growing number of technologies and devices, from appliances to lighting systems, are being deployed at consumer premises that have more sophisticated controls and information that remain underused for anything beyond basic building equipment operations. The intersection of these two drivers is an untapped opportunity and underused resource that, if appropriately configured and realized in open standards, can provide significant energy efficiency and commensurate savings on utility bills,more » enhanced and lower cost reliability to utilities, and national economic benefits in the creation of new markets, sectors, and businesses being fueled by the seamless coordination of energy and information through device and technology interoperability. Or, as the Quadrennial Energy Review puts it, “A plethora of both consumer-level and grid-level devices are either in the market, under development, or at the conceptual stage. When tied together through the information technology that is increasingly being deployed on electric utilities’ distribution grids, they can be an important enabling part of the emerging grid of the future. However, what is missing is the ability for all of these devices to coordinate and communicate their operations with the grid, and among themselves, in a common language — an open standard.” In this paper, we define interoperability as the ability to exchange actionable information between two or more systems within a home or building, or across and within organizational boundaries. Interoperability relies on the shared meaning of the exchanged information, with agreed-upon expectations and consequences, for the response to the information exchange.« less

An Air Operations Division Live, Virtual, and Constructive (LVC) Corporate Interoperability Standards Development Strategy

DTIC Science & Technology

2011-07-01

Orlando, Florida, September 2009, 09F- SIW -090. [HLA (2000) - 1] - Modeling and Simulation Standard - High Level Architecture (HLA) – Framework and...Simulation Interoperability Workshop, Orlando, FL, USA, September 2009, 09F- SIW -023. [MaK] - www.mak.com [MIL-STD-3011] - MIL-STD-3011...Spring Simulation Interoperability Workshop, Norfolk, VA, USA, March 2007, 07S- SIW -072. [Ross] - Ross, P. and Clark, P. (2005), “Recommended

Achieving Interoperability in GEOSS - How Close Are We?

NASA Astrophysics Data System (ADS)

Arctur, D. K.; Khalsa, S. S.; Browdy, S. F.

2010-12-01

A primary goal of the Global Earth Observing System of System (GEOSS) is improving the interoperability between the observational, modelling, data assimilation, and prediction systems contributed by member countries. The GEOSS Common Infrastructure (GCI) comprises the elements designed to enable discovery and access to these diverse data and information sources. But to what degree can the mechanisms for accessing these data, and the data themselves, be considered interoperable? Will the separate efforts by Communities of Practice within GEO to build their own portals, such as for Energy, Biodiversity, and Air Quality, lead to fragmentation or synergy? What communication and leadership do we need with these communities to improve interoperability both within and across such communities? The Standards and Interoperability Forum (SIF) of GEO's Architecture and Data Committee has assessed progress towards achieving the goal of global interoperability and made recommendations regarding evolution of the architecture and overall data strategy to ensure fulfillment of the GEOSS vision. This presentation will highlight the results of this study, and directions for further work.

Environmental Models as a Service: Enabling Interoperability ...

EPA Pesticide Factsheets

Achieving interoperability in environmental modeling has evolved as software technology has progressed. The recent rise of cloud computing and proliferation of web services initiated a new stage for creating interoperable systems. Scientific programmers increasingly take advantage of streamlined deployment processes and affordable cloud access to move algorithms and data to the web for discoverability and consumption. In these deployments, environmental models can become available to end users through RESTful web services and consistent application program interfaces (APIs) that consume, manipulate, and store modeling data. RESTful modeling APIs also promote discoverability and guide usability through self-documentation. Embracing the RESTful paradigm allows models to be accessible via a web standard, and the resulting endpoints are platform- and implementation-agnostic while simultaneously presenting significant computational capabilities for spatial and temporal scaling. RESTful APIs present data in a simple verb-noun web request interface: the verb dictates how a resource is consumed using HTTP methods (e.g., GET, POST, and PUT) and the noun represents the URL reference of the resource on which the verb will act. The RESTful API can self-document in both the HTTP response and an interactive web page using the Open API standard. This lets models function as an interoperable service that promotes sharing, documentation, and discoverability. Here, we discuss the

Bridging Hydroinformatics Services Between HydroShare and SWATShare

NASA Astrophysics Data System (ADS)

Merwade, V.; Zhao, L.; Song, C. X.; Tarboton, D. G.; Goodall, J. L.; Stealey, M.; Rajib, A.; Morsy, M. M.; Dash, P. K.; Miles, B.; Kim, I. L.

2016-12-01

Many cyberinfrastructure systems in the hydrologic and related domains emerged in the past decade with more being developed to address various data management and modeling needs. Although clearly beneficial to the broad user community, it is a challenging task to build interoperability across these systems due to various obstacles including technological, organizational, semantic, and social issues. This work presents our experience in developing interoperability between two hydrologic cyberinfrastructure systems - SWATShare and HydroShare. HydroShare is a large-scale online system aiming at enabling the hydrologic user community to share their data, models, and analysis online for solving complex hydrologic research questions. On the other side, SWATShare is a focused effort to allow SWAT (Soil and Water Assessment Tool) modelers share, execute and analyze SWAT models using high performance computing resources. Making these two systems interoperable required common sign-in through OAuth, sharing of models through common metadata standards and use of standard web-services for implementing key import/export functionalities. As a result, users from either community can leverage the resources and services across these systems without having to manually importing, exporting, or processing their models. Overall, this use case is an example that can serve as a model for the interoperability among other systems as no one system can provide all the functionality needed to address large interdisciplinary problems.

Large scale healthcare data integration and analysis using the semantic web.

PubMed

Timm, John; Renly, Sondra; Farkash, Ariel

2011-01-01

Healthcare data interoperability can only be achieved when the semantics of the content is well defined and consistently implemented across heterogeneous data sources. Achieving these objectives of interoperability requires the collaboration of experts from several domains. This paper describes tooling that integrates Semantic Web technologies with common tools to facilitate cross-domain collaborative development for the purposes of data interoperability. Our approach is divided into stages of data harmonization and representation, model transformation, and instance generation. We applied our approach on Hypergenes, an EU funded project, where we use our method to the Essential Hypertension disease model using a CDA template. Our domain expert partners include clinical providers, clinical domain researchers, healthcare information technology experts, and a variety of clinical data consumers. We show that bringing Semantic Web technologies into the healthcare interoperability toolkit increases opportunities for beneficial collaboration thus improving patient care and clinical research outcomes.

Ontology for heart rate turbulence domain from the conceptual model of SNOMED-CT.

PubMed

Soguero-Ruiz, Cristina; Lechuga-Suárez, Luis; Mora-Jiménez, Inmaculada; Ramos-López, Javier; Barquero-Pérez, Óscar; García-Alberola, Arcadi; Rojo-Álvarez, José L

2013-07-01

Electronic health record (EHR) automates the clinician workflow, allowing evidence-based decision support and quality management. We aimed to start a framework for domain standardization of cardiovascular risk stratification into the EHR, including risk indices whose calculation involves ECG signal processing. We propose the use of biomedical ontologies completely based on the conceptual model of SNOMED-CT, which allows us to implement our domain in the EHR. In this setting, the present study focused on the heart rate turbulence (HRT) domain, according to its concise guidelines and clear procedures for parameter calculations. We used 289 concepts from SNOMED-CT, and generated 19 local extensions (new concepts) for the HRT specific concepts not present in the current version of SNOMED-CT. New concepts included averaged and individual ventricular premature complex tachograms, initial sinus acceleration for turbulence onset, or sinusal oscillation for turbulence slope. Two representative use studies were implemented: first, a prototype was inserted in the hospital information system for supporting HRT recordings and their simple follow up by medical societies; second, an advanced support for a prospective scientific research, involving standard and emergent signal processing algorithms in the HRT indices, was generated and then tested in an example database of 27 Holter patients. Concepts of the proposed HRT ontology are publicly available through a terminology server, hence their use in any information system will be straightforward due to the interoperability provided by SNOMED-CT.

Design and Implement AN Interoperable Internet of Things Application Based on AN Extended Ogc Sensorthings Api Standard

NASA Astrophysics Data System (ADS)

Huang, C. Y.; Wu, C. H.

2016-06-01

The Internet of Things (IoT) is an infrastructure that interconnects uniquely-identifiable devices using the Internet. By interconnecting everyday appliances, various monitoring and physical mashup applications can be constructed to improve people's daily life. However, IoT devices created by different manufacturers follow different proprietary protocols and cannot communicate with each other. This heterogeneity issue causes different products to be locked in multiple closed ecosystems that we call IoT silos. In order to address this issue, a common industrial solution is the hub approach, which implements connectors to communicate with IoT devices following different protocols. However, with the growing number of proprietary protocols proposed by device manufacturers, IoT hubs need to support and maintain a lot of customized connectors. Hence, we believe the ultimate solution to address the heterogeneity issue is to follow open and interoperable standard. Among the existing IoT standards, the Open Geospatial Consortium (OGC) SensorThings API standard supports comprehensive conceptual model and query functionalities. The first version of SensorThings API mainly focuses on connecting to IoT devices and sharing sensor observations online, which is the sensing capability. Besides the sensing capability, IoT devices could also be controlled via the Internet, which is the tasking capability. While the tasking capability was not included in the first version of the SensorThings API standard, this research aims on defining the tasking capability profile and integrates with the SensorThings API standard, which we call the extended-SensorThings API in this paper. In general, this research proposes a lightweight JSON-based web service description, the "Tasking Capability Description", allowing device owners and manufacturers to describe different IoT device protocols. Through the extended- SensorThings API, users and applications can follow a coherent protocol to control IoT devices that use different communication protocols, which could consequently achieve the interoperable Internet of Things infrastructure.

CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard

PubMed Central

Park, Yu Rang; Yoon, Young Jo; Jang, Tae Hun; Seo, Hwa Jeong

2014-01-01

Objectives Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models. Methods Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated. Results In total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model. Conclusions A feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models. PMID:24627817

Factors associated with adoption of health information technology: a conceptual model based on a systematic review.

PubMed

Kruse, Clemens Scott; DeShazo, Jonathan; Kim, Forest; Fulton, Lawrence

2014-05-23

The Health Information Technology for Economic and Clinical Health Act (HITECH) allocated $19.2 billion to incentivize adoption of the electronic health record (EHR). Since 2009, Meaningful Use Criteria have dominated information technology (IT) strategy. Health care organizations have struggled to meet expectations and avoid penalties to reimbursements from the Center for Medicare and Medicaid Services (CMS). Organizational theories attempt to explain factors that influence organizational change, and many theories address changes in organizational strategy. However, due to the complexities of the health care industry, existing organizational theories fall short of demonstrating association with significant health care IT implementations. There is no organizational theory for health care that identifies, groups, and analyzes both internal and external factors of influence for large health care IT implementations like adoption of the EHR. The purpose of this systematic review is to identify a full-spectrum of both internal organizational and external environmental factors associated with the adoption of health information technology (HIT), specifically the EHR. The result is a conceptual model that is commensurate with the complexity of with the health care sector. We performed a systematic literature search in PubMed (restricted to English), EBSCO Host, and Google Scholar for both empirical studies and theory-based writing from 1993-2013 that demonstrated association between influential factors and three modes of HIT: EHR, electronic medical record (EMR), and computerized provider order entry (CPOE). We also looked at published books on organizational theories. We made notes and noted trends on adoption factors. These factors were grouped as adoption factors associated with various versions of EHR adoption. The resulting conceptual model summarizes the diversity of independent variables (IVs) and dependent variables (DVs) used in articles, editorials, books, as well as quantitative and qualitative studies (n=83). As of 2009, only 16.30% (815/4999) of nonfederal, acute-care hospitals had adopted a fully interoperable EHR. From the 83 articles reviewed in this study, 16/83 (19%) identified internal organizational factors and 9/83 (11%) identified external environmental factors associated with adoption of the EHR, EMR, or CPOE. The conceptual model for EHR adoption associates each variable with the work that identified it. Commonalities exist in the literature for internal organizational and external environmental factors associated with the adoption of the EHR and/or CPOE. The conceptual model for EHR adoption associates internal and external factors, specific to the health care industry, associated with adoption of the EHR. It becomes apparent that these factors have some level of association, but the association is not consistently calculated individually or in combination. To better understand effective adoption strategies, empirical studies should be performed from this conceptual model to quantify the positive or negative effect of each factor.

The MMI Device Ontology: Enabling Sensor Integration

NASA Astrophysics Data System (ADS)

Rueda, C.; Galbraith, N.; Morris, R. A.; Bermudez, L. E.; Graybeal, J.; Arko, R. A.; Mmi Device Ontology Working Group

2010-12-01

The Marine Metadata Interoperability (MMI) project has developed an ontology for devices to describe sensors and sensor networks. This ontology is implemented in the W3C Web Ontology Language (OWL) and provides an extensible conceptual model and controlled vocabularies for describing heterogeneous instrument types, with different data characteristics, and their attributes. It can help users populate metadata records for sensors; associate devices with their platforms, deployments, measurement capabilities and restrictions; aid in discovery of sensor data, both historic and real-time; and improve the interoperability of observational oceanographic data sets. We developed the MMI Device Ontology following a community-based approach. By building on and integrating other models and ontologies from related disciplines, we sought to facilitate semantic interoperability while avoiding duplication. Key concepts and insights from various communities, including the Open Geospatial Consortium (eg., SensorML and Observations and Measurements specifications), Semantic Web for Earth and Environmental Terminology (SWEET), and W3C Semantic Sensor Network Incubator Group, have significantly enriched the development of the ontology. Individuals ranging from instrument designers, science data producers and consumers to ontology specialists and other technologists contributed to the work. Applications of the MMI Device Ontology are underway for several community use cases. These include vessel-mounted multibeam mapping sonars for the Rolling Deck to Repository (R2R) program and description of diverse instruments on deepwater Ocean Reference Stations for the OceanSITES program. These trials involve creation of records completely describing instruments, either by individual instances or by manufacturer and model. Individual terms in the MMI Device Ontology can be referenced with their corresponding Uniform Resource Identifiers (URIs) in sensor-related metadata specifications (e.g., SensorML, NetCDF). These identifiers can be resolved through a web browser, or other client applications via HTTP against the MMI Ontology Registry and Repository (ORR), where the ontology is maintained. SPARQL-based query capabilities, which are enhanced with reasoning, along with several supported output formats, allow the effective interaction of diverse client applications with the semantic information associated with the device ontology. In this presentation we describe the process for the development of the MMI Device Ontology and illustrate extensions and applications that demonstrate the benefits of adopting this semantic approach, including example queries involving inference. We also highlight the issues encountered and future work.

End-to-end interoperability and workflows from building architecture design to one or more simulations

DOEpatents

Chao, Tian-Jy; Kim, Younghun

2015-02-10

An end-to-end interoperability and workflows from building architecture design to one or more simulations, in one aspect, may comprise establishing a BIM enablement platform architecture. A data model defines data entities and entity relationships for enabling the interoperability and workflows. A data definition language may be implemented that defines and creates a table schema of a database associated with the data model. Data management services and/or application programming interfaces may be implemented for interacting with the data model. Web services may also be provided for interacting with the data model via the Web. A user interface may be implemented that communicates with users and uses the BIM enablement platform architecture, the data model, the data definition language, data management services and application programming interfaces to provide functions to the users to perform work related to building information management.

Geo3DML: A standard-based exchange format for 3D geological models

NASA Astrophysics Data System (ADS)

Wang, Zhangang; Qu, Honggang; Wu, Zixing; Wang, Xianghong

2018-01-01

A geological model (geomodel) in three-dimensional (3D) space is a digital representation of the Earth's subsurface, recognized by geologists and stored in resultant geological data (geodata). The increasing demand for data management and interoperable applications of geomodelscan be addressed by developing standard-based exchange formats for the representation of not only a single geological object, but also holistic geomodels. However, current standards such as GeoSciML cannot incorporate all the geomodel-related information. This paper presents Geo3DML for the exchange of 3D geomodels based on the existing Open Geospatial Consortium (OGC) standards. Geo3DML is based on a unified and formal representation of structural models, attribute models and hierarchical structures of interpreted resultant geodata in different dimensional views, including drills, cross-sections/geomaps and 3D models, which is compatible with the conceptual model of GeoSciML. Geo3DML aims to encode all geomodel-related information integrally in one framework, including the semantic and geometric information of geoobjects and their relationships, as well as visual information. At present, Geo3DML and some supporting tools have been released as a data-exchange standard by the China Geological Survey (CGS).

Opening Up "Open Systems": Moving toward True Interoperability among Library Software. DataResearch Automation Guide Series, Number One.

ERIC Educational Resources Information Center

Data Research Associates, Inc., St. Louis, MO.

The topic of open systems as it relates to the needs of libraries to establish interoperability between dissimilar computer systems can be clarified by an understanding of the background and evolution of the issue. The International Standards Organization developed a model to link dissimilar computers, and this model has evolved into consensus…

Data interoperabilty between European Environmental Research Infrastructures and their contribution to global data networks

NASA Astrophysics Data System (ADS)

Kutsch, W. L.; Zhao, Z.; Hardisty, A.; Hellström, M.; Chin, Y.; Magagna, B.; Asmi, A.; Papale, D.; Pfeil, B.; Atkinson, M.

2017-12-01

Environmental Research Infrastructures (ENVRIs) are expected to become important pillars not only for supporting their own scientific communities, but also a) for inter-disciplinary research and b) for the European Earth Observation Program Copernicus as a contribution to the Global Earth Observation System of Systems (GEOSS) or global thematic data networks. As such, it is very important that data-related activities of the ENVRIs will be well integrated. This requires common policies, models and e-infrastructure to optimise technological implementation, define workflows, and ensure coordination, harmonisation, integration and interoperability of data, applications and other services. The key is interoperating common metadata systems (utilising a richer metadata model as the `switchboard' for interoperation with formal syntax and declared semantics). The metadata characterises data, services, users and ICT resources (including sensors and detectors). The European Cluster Project ENVRIplus has developed a reference model (ENVRI RM) for common data infrastructure architecture to promote interoperability among ENVRIs. The presentation will provide an overview of recent progress and give examples for the integration of ENVRI data in global integration networks.

Managing Interoperability for GEOSS - A Report from the SIF

NASA Astrophysics Data System (ADS)

Khalsa, S. J.; Actur, D.; Nativi, S.; Browdy, S.; Eglitis, P.

2009-04-01

The Global Earth Observation System of Systems (GEOSS) is a coordinating and integrating framework for Earth observing and information systems, which are contributed on a voluntary basis by Members and Participating Organizations of the intergovernmental Group on Earth Observations (GEO). GEOSS exists to support informed decision making for the benefit of society, including the implementation of international environmental treaty obligations. GEO Members and Participating organizations use the GEOSS Common Infrastructure (GCI) to register their Earth observation resources, thereby making them discoverable and consumable by both humans and client applications. Essential to meeting GEO user needs is a process for supporting interoperability of observing, processing, modeling and dissemination capabilities. The GEO Standards and Interoperability Forum (SIF) was created to develop, implement and oversee this process. The SIF supports GEO organizations contributing resources to the GEOSS by helping them understand and work with the GEOSS interoperability guidelines and encouraging them to register their "interoperability arrangements" (standards or other ad hoc arrangements for interoperability) in the GEOSS standards registry, which is part of the GCI. These registered interoperability arrangements support the actual services used to achieve interoperability of systems. By making information about these interoperability arrangements available to users of the GEOSS the SIF enhances the understanding and utility of contributed resources. We describe the procedures that the SIF has enacted to carry out its work. To operate effectively the SIF uses a workflow system and is establishing a set of regional teams and domain experts. In the near term our work has focused on population and review of the GEOSS Standards Registry, but we are also developing approaches to achieving progressive convergence on, and uptake of, an optimal set of interoperability arrangements for all of GEOSS.

Open data models for smart health interconnected applications: the example of openEHR.

PubMed

Demski, Hans; Garde, Sebastian; Hildebrand, Claudia

2016-10-22

Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework for providing interoperable data services that support the development of innovative Smart Health applications profiting from data fusion and sharing. This article describes a model-driven engineering approach based on standardized clinical information models and explores its application for the development of interoperable electronic health record systems. The following possible model-driven procedures were considered: provision of data schemes for data exchange, automated generation of artefacts for application development and native platforms that directly execute the models. The applicability of the approach in practice was examined using the openEHR framework as an example. A comprehensive infrastructure for model-driven engineering of electronic health records is presented using the example of the openEHR framework. It is shown that data schema definitions to be used in common practice software development processes can be derived from domain models. The capabilities for automatic creation of implementation artefacts (e.g., data entry forms) are demonstrated. Complementary programming libraries and frameworks that foster the use of open data models are introduced. Several compatible health data platforms are listed. They provide standard based interfaces for interconnecting with further applications. Open data models help build a framework for interoperable data services that support the development of innovative Smart Health applications. Related tools for model-driven application development foster semantic interoperability and interconnected innovative applications.

A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm.

PubMed

Ethier, Jean-François; Dameron, Olivier; Curcin, Vasa; McGilchrist, Mark M; Verheij, Robert A; Arvanitis, Theodoros N; Taweel, Adel; Delaney, Brendan C; Burgun, Anita

2013-01-01

Biomedical research increasingly relies on the integration of information from multiple heterogeneous data sources. Despite the fact that structural and terminological aspects of interoperability are interdependent and rely on a common set of requirements, current efforts typically address them in isolation. We propose a unified ontology-based knowledge framework to facilitate interoperability between heterogeneous sources, and investigate if using the LexEVS terminology server is a viable implementation method. We developed a framework based on an ontology, the general information model (GIM), to unify structural models and terminologies, together with relevant mapping sets. This allowed a uniform access to these resources within LexEVS to facilitate interoperability by various components and data sources from implementing architectures. Our unified framework has been tested in the context of the EU Framework Program 7 TRANSFoRm project, where it was used to achieve data integration in a retrospective diabetes cohort study. The GIM was successfully instantiated in TRANSFoRm as the clinical data integration model, and necessary mappings were created to support effective information retrieval for software tools in the project. We present a novel, unifying approach to address interoperability challenges in heterogeneous data sources, by representing structural and semantic models in one framework. Systems using this architecture can rely solely on the GIM that abstracts over both the structure and coding. Information models, terminologies and mappings are all stored in LexEVS and can be accessed in a uniform manner (implementing the HL7 CTS2 service functional model). The system is flexible and should reduce the effort needed from data sources personnel for implementing and managing the integration.

A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm

PubMed Central

Ethier, Jean-François; Dameron, Olivier; Curcin, Vasa; McGilchrist, Mark M; Verheij, Robert A; Arvanitis, Theodoros N; Taweel, Adel; Delaney, Brendan C; Burgun, Anita

2013-01-01

Objective Biomedical research increasingly relies on the integration of information from multiple heterogeneous data sources. Despite the fact that structural and terminological aspects of interoperability are interdependent and rely on a common set of requirements, current efforts typically address them in isolation. We propose a unified ontology-based knowledge framework to facilitate interoperability between heterogeneous sources, and investigate if using the LexEVS terminology server is a viable implementation method. Materials and methods We developed a framework based on an ontology, the general information model (GIM), to unify structural models and terminologies, together with relevant mapping sets. This allowed a uniform access to these resources within LexEVS to facilitate interoperability by various components and data sources from implementing architectures. Results Our unified framework has been tested in the context of the EU Framework Program 7 TRANSFoRm project, where it was used to achieve data integration in a retrospective diabetes cohort study. The GIM was successfully instantiated in TRANSFoRm as the clinical data integration model, and necessary mappings were created to support effective information retrieval for software tools in the project. Conclusions We present a novel, unifying approach to address interoperability challenges in heterogeneous data sources, by representing structural and semantic models in one framework. Systems using this architecture can rely solely on the GIM that abstracts over both the structure and coding. Information models, terminologies and mappings are all stored in LexEVS and can be accessed in a uniform manner (implementing the HL7 CTS2 service functional model). The system is flexible and should reduce the effort needed from data sources personnel for implementing and managing the integration. PMID:23571850

Network Centric Warfare Case Study: U.S. V Corps and 3rd Infantry Division (Mechanized) During Operation Iraqi Freedom Combat Operations (Mar-Apr 2003). Volume 2: Command, Control, Communications and Computer Architectures

DTIC Science & Technology

2003-01-01

dependencies, and conceptual independencies. Taken together, the three views provide a framework to ensure interoperability, regardless of system... products for COP users . It enables a shared situational awareness that significantly improves the ability of commanders at all levels to quickly make... Review , March-April 1998. 5 Eric K. Shinseki, General , U.S. Army. “ The Army Transformation: A Historic Opportunity,” 2001- 02 Army Green Book

Terminology supported archiving and publication of environmental science data in PANGAEA.

PubMed

Diepenbroek, Michael; Schindler, Uwe; Huber, Robert; Pesant, Stéphane; Stocker, Markus; Felden, Janine; Buss, Melanie; Weinrebe, Matthias

2017-11-10

Exemplified on the information system PANGAEA, we describe the application of terminologies for archiving and publishing environmental science data. A terminology catalogue (TC) was embedded into the system, with interfaces allowing to replicate and to manually work on terminologies. For data ingest and archiving, we show how the TC can improve structuring and harmonizing lineage and content descriptions of data sets. Key is the conceptualization of measurement and observation types (parameters) and methods, for which we have implemented a basic syntax and rule set. For data access and dissemination, we have improved findability of data through enrichment of metadata with TC terms. Semantic annotations, e.g. adding term concepts (including synonyms and hierarchies) or mapped terms of different terminologies, facilitate comprehensive data retrievals. The PANGAEA thesaurus of classifying terms, which is part of the TC is used as an umbrella vocabulary that links the various domains and allows drill downs and side drills with various facets. Furthermore, we describe how TC terms can be linked to nominal data values. This improves data harmonization and facilitates structural transformation of heterogeneous data sets to a common schema. Technical developments are complemented by work on the metadata content. Over the last 20 years, more than 100 new parameters have been defined on average per week. Recently, PANGAEA has increasingly been submitting new terms to various terminology services. Matching terms from terminology services with our parameter or method strings is supported programmatically. However, the process ultimately needs manual input by domain experts. The quality of terminology services is an additional limiting factor, and varies with respect to content, editorial, interoperability, and sustainability. Good quality terminology services are the building blocks for the conceptualization of parameters and methods. In our view, they are essential for data interoperability and arguably the most difficult hurdle for data integration. In summary, the application of terminologies has a mutual positive effect for terminology services and information systems such as PANGAEA. On both sides, the application of terminologies improves content, reliability and interoperability. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Detailed clinical models: representing knowledge, data and semantics in healthcare information technology.

PubMed

Goossen, William T F

2014-07-01

This paper will present an overview of the developmental effort in harmonizing clinical knowledge modeling using the Detailed Clinical Models (DCMs), and will explain how it can contribute to the preservation of Electronic Health Records (EHR) data. Clinical knowledge modeling is vital for the management and preservation of EHR and data. Such modeling provides common data elements and terminology binding with the intention of capturing and managing clinical information over time and location independent from technology. Any EHR data exchange without an agreed clinical knowledge modeling will potentially result in loss of information. Many attempts exist from the past to model clinical knowledge for the benefits of semantic interoperability using standardized data representation and common terminologies. The objective of each project is similar with respect to consistent representation of clinical data, using standardized terminologies, and an overall logical approach. However, the conceptual, logical, and the technical expressions are quite different in one clinical knowledge modeling approach versus another. There currently are synergies under the Clinical Information Modeling Initiative (CIMI) in order to create a harmonized reference model for clinical knowledge models. The goal for the CIMI is to create a reference model and formalisms based on for instance the DCM (ISO/TS 13972), among other work. A global repository of DCMs may potentially be established in the future.

Difficulties with True Interoperability in Modeling & Simulation

DTIC Science & Technology

2011-12-01

2009. Programming Scala : Scalability = Functional Programming + Ob- jects. 1 st ed. O‟Reilly Media. 2652 Gallant and Gaughan AUTHOR BIOGRAPHIES...that develops a model or simulation has a specific purpose, set of requirements and limited funding. These programs cannot afford to coordinate with...implementation. The program offices should budget for and plan for coordination across domain projects within a limited scope to improve interoperability with

Foundations of reusable and interoperable facet models using category theory

PubMed Central

2016-01-01

Faceted browsing has become ubiquitous with modern digital libraries and online search engines, yet the process is still difficult to abstractly model in a manner that supports the development of interoperable and reusable interfaces. We propose category theory as a theoretical foundation for faceted browsing and demonstrate how the interactive process can be mathematically abstracted. Existing efforts in facet modeling are based upon set theory, formal concept analysis, and light-weight ontologies, but in many regards, they are implementations of faceted browsing rather than a specification of the basic, underlying structures and interactions. We will demonstrate that category theory allows us to specify faceted objects and study the relationships and interactions within a faceted browsing system. Resulting implementations can then be constructed through a category-theoretic lens using these models, allowing abstract comparison and communication that naturally support interoperability and reuse. PMID:27942248

Interoperability Matter: Levels of Data Sharing, Starting from a 3d Information Modelling

NASA Astrophysics Data System (ADS)

Tommasi, C.; Achille, C.

2017-02-01

Nowadays, the adoption of BIM processes in the AEC (Architecture, Engineering and Construction) industry means to be oriented towards synergistic workflows, based on informative instruments capable of realizing the virtual model of the building. The target of this article is to speak about the interoperability matter, approaching the subject through a theoretical part and also a practice example, in order to show how these notions are applicable in real situations. In particular, the case study analysed belongs to the Cultural Heritage field, where it is possible to find some difficulties - both in the modelling and sharing phases - due to the complexity of shapes and elements. Focusing on the interoperability between different software, the questions are: What and how many kind of information can I share? Given that this process leads also to a standardization of the modelled parts, is there the possibility of an accuracy loss?

Assessment of Life Cycle Information Exchanges (LCie): Understanding the Value-Added Benefit of a COBie Process

DTIC Science & Technology

2013-10-01

exchange (COBie), Building Information Modeling ( BIM ), value-added analysis, business processes, project management 16. SECURITY CLASSIFICATION OF: 17...equipment. The innovative aspect of Building In- formation Modeling ( BIM ) is that it creates a computable building descrip- tion. The ability to use a...interoperability. In order for the building information to be interoperable, it must also con- form to a common data model , or schema, that defines the class

Taking Another Look at the Data Management Life Cycle: Deconstruction, Agile, and Community

NASA Astrophysics Data System (ADS)

Young, J. W.; Lenhardt, W. C.; Parsons, M. A.; Benedict, K. K.

2014-12-01

The data life cycle has figured prominently in describing the context of digital scientific data stewardship and cyberinfractructure in support of science. There are many different versions of the data life cycle, but they all follow a similar basic pattern: plan, collect, ingest, asses, preserve, discover, and reuse. The process is often interpreted in a fairly linear fashion despite it being a cycle conceptually. More recently at GeoData 2014 and elsewhere, questions have been raised about the utility of the data life cycle as it is currently represented. We are proposing to the community a re-examination of the data life cycle using an agile lens. Our goal is not to deploy agile methods, but to use agile principles as a heuristic to think about how to incorporate data stewardship across the scientific process from proposal stage to research and beyond. We will present alternative conceptualizations of the data life cycle with a goal to solicit feedback and to develop a new model for conceiving and describing the overall data stewardship process. We seek to re-examine past assumptions and shed new light on the challenges and necessity of data stewardship. The ultimate goal is to support new science through enhanced data interoperability, usability, and preservation.

Putting the School Interoperability Framework to the Test

ERIC Educational Resources Information Center

Mercurius, Neil; Burton, Glenn; Hopkins, Bill; Larsen, Hans

2004-01-01

The Jurupa Unified School District in Southern California recently partnered with Microsoft, Dell and the Zone Integration Group for the implementation of a School Interoperability Framework (SIF) database repository model throughout the district (Magner 2002). A two-week project--the Integrated District Education Applications System, better known…

Generic Educational Knowledge Representation for Adaptive and Cognitive Systems

ERIC Educational Resources Information Center

Caravantes, Arturo; Galan, Ramon

2011-01-01

The interoperability of educational systems, encouraged by the development of specifications, standards and tools related to the Semantic Web is limited to the exchange of information in domain and student models. High system interoperability requires that a common framework be defined that represents the functional essence of educational systems.…

A comparison of data interoperability approaches of fusion codes with application to synthetic diagnostics

NASA Astrophysics Data System (ADS)

Kruger, Scott; Shasharina, S.; Vadlamani, S.; McCune, D.; Holland, C.; Jenkins, T. G.; Candy, J.; Cary, J. R.; Hakim, A.; Miah, M.; Pletzer, A.

2010-11-01

As various efforts to integrate fusion codes proceed worldwide, standards for sharing data have emerged. In the U.S., the SWIM project has pioneered the development of the Plasma State, which has a flat-hierarchy and is dominated by its use within 1.5D transport codes. The European Integrated Tokamak Modeling effort has developed a more ambitious data interoperability effort organized around the concept of Consistent Physical Objects (CPOs). CPOs have deep hierarchies as needed by an effort that seeks to encompass all of fusion computing. Here, we discuss ideas for implementing data interoperability that is complementary to both the Plasma State and CPOs. By making use of attributes within the netcdf and HDF5 binary file formats, the goals of data interoperability can be achieved with a more informal approach. In addition, a file can be simultaneously interoperable to several standards at once. As an illustration of this approach, we discuss its application to the development of synthetic diagnostics that can be used for multiple codes.

Process-oriented integration and coordination of healthcare services across organizational boundaries.

PubMed

Tello-Leal, Edgar; Chiotti, Omar; Villarreal, Pablo David

2012-12-01

The paper presents a methodology that follows a top-down approach based on a Model-Driven Architecture for integrating and coordinating healthcare services through cross-organizational processes to enable organizations providing high quality healthcare services and continuous process improvements. The methodology provides a modeling language that enables organizations conceptualizing an integration agreement, and identifying and designing cross-organizational process models. These models are used for the automatic generation of: the private view of processes each organization should perform to fulfill its role in cross-organizational processes, and Colored Petri Net specifications to implement these processes. A multi-agent system platform provides agents able to interpret Colored Petri-Nets to enable the communication between the Healthcare Information Systems for executing the cross-organizational processes. Clinical documents are defined using the HL7 Clinical Document Architecture. This methodology guarantees that important requirements for healthcare services integration and coordination are fulfilled: interoperability between heterogeneous Healthcare Information Systems; ability to cope with changes in cross-organizational processes; guarantee of alignment between the integrated healthcare service solution defined at the organizational level and the solution defined at technological level; and the distributed execution of cross-organizational processes keeping the organizations autonomy.

Clinical data integration model. Core interoperability ontology for research using primary care data.

PubMed

Ethier, J-F; Curcin, V; Barton, A; McGilchrist, M M; Bastiaens, H; Andreasson, A; Rossiter, J; Zhao, L; Arvanitis, T N; Taweel, A; Delaney, B C; Burgun, A

2015-01-01

This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". Primary care data is the single richest source of routine health care data. However its use, both in research and clinical work, often requires data from multiple clinical sites, clinical trials databases and registries. Data integration and interoperability are therefore of utmost importance. TRANSFoRm's general approach relies on a unified interoperability framework, described in a previous paper. We developed a core ontology for an interoperability framework based on data mediation. This article presents how such an ontology, the Clinical Data Integration Model (CDIM), can be designed to support, in conjunction with appropriate terminologies, biomedical data federation within TRANSFoRm, an EU FP7 project that aims to develop the digital infrastructure for a learning healthcare system in European Primary Care. TRANSFoRm utilizes a unified structural / terminological interoperability framework, based on the local-as-view mediation paradigm. Such an approach mandates the global information model to describe the domain of interest independently of the data sources to be explored. Following a requirement analysis process, no ontology focusing on primary care research was identified and, thus we designed a realist ontology based on Basic Formal Ontology to support our framework in collaboration with various terminologies used in primary care. The resulting ontology has 549 classes and 82 object properties and is used to support data integration for TRANSFoRm's use cases. Concepts identified by researchers were successfully expressed in queries using CDIM and pertinent terminologies. As an example, we illustrate how, in TRANSFoRm, the Query Formulation Workbench can capture eligibility criteria in a computable representation, which is based on CDIM. A unified mediation approach to semantic interoperability provides a flexible and extensible framework for all types of interaction between health record systems and research systems. CDIM, as core ontology of such an approach, enables simplicity and consistency of design across the heterogeneous software landscape and can support the specific needs of EHR-driven phenotyping research using primary care data.

Feasibility of Representing a Danish Microbiology Model Using FHIR.

PubMed

Andersen, Mie Vestergaard; Kristensen, Ida Hvass; Larsen, Malene Møller; Pedersen, Claus Hougaard; Gøeg, Kirstine Rosenbeck; Pape-Haugaard, Louise B

2017-01-01

Achieving interoperability in health is a challenge and requires standardization. The newly developed HL7 standard: Fast Healthcare Interoperability Resources (FHIR) promises both flexibility and interoperability. This study investigates the feasibility of expressing a Danish microbiology message model content in FHIR to explore whether complex in-use legacy models can be migrated and what challenges this may pose. The Danish microbiology message model (the DMM) is used as a case to illustrate challenges and opportunities accosted with applying the FHIR standard. Mapping of content from DMM to FHIR was done as close as possible to the DMM to minimize migration costs except when the structure of the content did not fit into FHIR. From the DMM a total of 183 elements were mapped to FHIR. 75 (40.9%) elements were modeled as existing FHIR elements and 96 (52.5%) elements were modeled as extensions and 12 (6.6%) elements were deemed unnecessary because of build-in FHIR characteristics. In this study, it was possible to represent the content of a Danish message model using HL7 FHIR.

A loosely coupled framework for terminology controlled distributed EHR search for patient cohort identification in clinical research.

PubMed

Zhao, Lei; Lim Choi Keung, Sarah N; Taweel, Adel; Tyler, Edward; Ogunsina, Ire; Rossiter, James; Delaney, Brendan C; Peterson, Kevin A; Hobbs, F D Richard; Arvanitis, Theodoros N

2012-01-01

Heterogeneous data models and coding schemes for electronic health records present challenges for automated search across distributed data sources. This paper describes a loosely coupled software framework based on the terminology controlled approach to enable the interoperation between the search interface and heterogeneous data sources. Software components interoperate via common terminology service and abstract criteria model so as to promote component reuse and incremental system evolution.

Combining Archetypes with Fast Health Interoperability Resources in Future-proof Health Information Systems.

PubMed

Bosca, Diego; Moner, David; Maldonado, Jose Alberto; Robles, Montserrat

2015-01-01

Messaging standards, and specifically HL7 v2, are heavily used for the communication and interoperability of Health Information Systems. HL7 FHIR was created as an evolution of the messaging standards to achieve semantic interoperability. FHIR is somehow similar to other approaches like the dual model methodology as both are based on the precise modeling of clinical information. In this paper, we demonstrate how we can apply the dual model methodology to standards like FHIR. We show the usefulness of this approach for data transformation between FHIR and other specifications such as HL7 CDA, EN ISO 13606, and openEHR. We also discuss the advantages and disadvantages of defining archetypes over FHIR, and the consequences and outcomes of this approach. Finally, we exemplify this approach by creating a testing data server that supports both FHIR resources and archetypes.

Interoperability Gap Challenges for Learning Object Repositories & Learning Management Systems

ERIC Educational Resources Information Center

Mason, Robert T.

2011-01-01

An interoperability gap exists between Learning Management Systems (LMSs) and Learning Object Repositories (LORs). Learning Objects (LOs) and the associated Learning Object Metadata (LOM) that is stored within LORs adhere to a variety of LOM standards. A common LOM standard found in LORs is the Sharable Content Object Reference Model (SCORM)…

Standard-compliant real-time transmission of ECGs: harmonization of ISO/IEEE 11073-PHD and SCP-ECG.

PubMed

Trigo, Jesús D; Chiarugi, Franco; Alesanco, Alvaro; Martínez-Espronceda, Miguel; Chronaki, Catherine E; Escayola, Javier; Martínez, Ignacio; García, José

2009-01-01

Ambient assisted living and integrated care in an aging society is based on the vision of the lifelong Electronic Health Record calling for HealthCare Information Systems and medical device interoperability. For medical devices this aim can be achieved by the consistent implementation of harmonized international interoperability standards. The ISO/IEEE 11073 (x73) family of standards is a reference standard for medical device interoperability. In its Personal Health Device (PHD) version several devices have been included, but an ECG device specialization is not yet available. On the other hand, the SCP-ECG standard for short-term diagnostic ECGs (EN1064) has been recently approved as an international standard ISO/IEEE 11073-91064:2009. In this paper, the relationships between a proposed x73-PHD model for an ECG device and the fields of the SCP-ECG standard are investigated. A proof-of-concept implementation of the proposed x73-PHD ECG model is also presented, identifying open issues to be addressed by standards development for the wider interoperability adoption of x73-PHD standards.

A framework for semantic interoperability in healthcare: a service oriented architecture based on health informatics standards.

PubMed

Ryan, Amanda; Eklund, Peter

2008-01-01

Healthcare information is composed of many types of varying and heterogeneous data. Semantic interoperability in healthcare is especially important when all these different types of data need to interact. Presented in this paper is a solution to interoperability in healthcare based on a standards-based middleware software architecture used in enterprise solutions. This architecture has been translated into the healthcare domain using a messaging and modeling standard which upholds the ideals of the Semantic Web (HL7 V3) combined with a well-known standard terminology of clinical terms (SNOMED CT).

Scientific Digital Libraries, Interoperability, and Ontologies

NASA Technical Reports Server (NTRS)

Hughes, J. Steven; Crichton, Daniel J.; Mattmann, Chris A.

2009-01-01

Scientific digital libraries serve complex and evolving research communities. Justifications for the development of scientific digital libraries include the desire to preserve science data and the promises of information interconnectedness, correlative science, and system interoperability. Shared ontologies are fundamental to fulfilling these promises. We present a tool framework, some informal principles, and several case studies where shared ontologies are used to guide the implementation of scientific digital libraries. The tool framework, based on an ontology modeling tool, was configured to develop, manage, and keep shared ontologies relevant within changing domains and to promote the interoperability, interconnectedness, and correlation desired by scientists.

Turning Interoperability Operational with GST

NASA Astrophysics Data System (ADS)

Schaeben, Helmut; Gabriel, Paul; Gietzel, Jan; Le, Hai Ha

2013-04-01

GST - Geosciences in space and time is being developed and implemented as hub to facilitate the exchange of spatially and temporally indexed multi-dimensional geoscience data and corresponding geomodels amongst partners. It originates from TUBAF's contribution to the EU project "ProMine" and its perspective extensions are TUBAF's contribution to the actual EU project "GeoMol". As of today, it provides basic components of a geodata infrastructure as required to establish interoperability with respect to geosciences. Generally, interoperability means the facilitation of cross-border and cross-sector information exchange, taking into account legal, organisational, semantic and technical aspects, cf. Interoperability Solutions for European Public Administrations (ISA), cf. http://ec.europa.eu/isa/. Practical interoperability for partners of a joint geoscience project, say European Geological Surveys acting in a border region, means in particular provision of IT technology to exchange spatially and maybe additionally temporally indexed multi-dimensional geoscience data and corresponding models, i.e. the objects composing geomodels capturing the geometry, topology, and various geoscience contents. Geodata Infrastructure (GDI) and interoperability are objectives of several inititatives, e.g. INSPIRE, OneGeology-Europe, and most recently EGDI-SCOPE to name just the most prominent ones. Then there are quite a few markup languages (ML) related to geographical or geological information like GeoSciML, EarthResourceML, BoreholeML, ResqML for reservoir characterization, earth and reservoir models, and many others featuring geoscience information. Several Web Services are focused on geographical or geoscience information. The Open Geospatial Consortium (OGC) promotes specifications of a Web Feature Service (WFS), a Web Map Service (WMS), a Web Coverage Serverice (WCS), a Web 3D Service (W3DS), and many more. It will be clarified how GST is related to these initiatives, especially how it complies with existing or developing standards or quasi-standards and how it applies and extents services towards interoperability in the Earth sciences.

The caCORE Software Development Kit: streamlining construction of interoperable biomedical information services.

PubMed

Phillips, Joshua; Chilukuri, Ram; Fragoso, Gilberto; Warzel, Denise; Covitz, Peter A

2006-01-06

Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented application programming interfaces (APIs). The National Cancer Institute (NCI) developed the cancer common ontologic representation environment (caCORE) to provide the infrastructure necessary to achieve interoperability across the systems it develops or sponsors. The caCORE Software Development Kit (SDK) was designed to provide developers both within and outside the NCI with the tools needed to construct such interoperable software systems. The caCORE SDK requires a Unified Modeling Language (UML) tool to begin the development workflow with the construction of a domain information model in the form of a UML Class Diagram. Models are annotated with concepts and definitions from a description logic terminology source using the Semantic Connector component. The annotated model is registered in the Cancer Data Standards Repository (caDSR) using the UML Loader component. System software is automatically generated using the Codegen component, which produces middleware that runs on an application server. The caCORE SDK was initially tested and validated using a seven-class UML model, and has been used to generate the caCORE production system, which includes models with dozens of classes. The deployed system supports access through object-oriented APIs with consistent syntax for retrieval of any type of data object across all classes in the original UML model. The caCORE SDK is currently being used by several development teams, including by participants in the cancer biomedical informatics grid (caBIG) program, to create compatible data services. caBIG compatibility standards are based upon caCORE resources, and thus the caCORE SDK has emerged as a key enabling technology for caBIG. The caCORE SDK substantially lowers the barrier to implementing systems that are syntactically and semantically interoperable by providing workflow and automation tools that standardize and expedite modeling, development, and deployment. It has gained acceptance among developers in the caBIG program, and is expected to provide a common mechanism for creating data service nodes on the data grid that is under development.

Semantically Interoperable XML Data

PubMed Central

Vergara-Niedermayr, Cristobal; Wang, Fusheng; Pan, Tony; Kurc, Tahsin; Saltz, Joel

2013-01-01

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups. PMID:25298789

Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes

PubMed Central

Legaz-García, María del Carmen; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Chute, Christopher G; Tao, Cui

2015-01-01

Introduction The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a generic, ontology-based, flexible approach for supporting the automatic transformation of clinical models, which is illustrated for the transformation of Clinical Element Models (CEMs) into openEHR archetypes. Methods Our transformation method exploits the fact that the information models of the most relevant EHR specifications are available in the Web Ontology Language (OWL). The transformation approach is based on defining mappings between those ontological structures. We propose a way in which CEM entities can be transformed into openEHR by using transformation templates and OWL as common representation formalism. The transformation architecture exploits the reasoning and inferencing capabilities of OWL technologies. Results We have devised a generic, flexible approach for the transformation of clinical models, implemented for the unidirectional transformation from CEM to openEHR, a series of reusable transformation templates, a proof-of-concept implementation, and a set of openEHR archetypes that validate the methodological approach. Conclusions We have been able to transform CEM into archetypes in an automatic, flexible, reusable transformation approach that could be extended to other clinical model specifications. We exploit the potential of OWL technologies for supporting the transformation process. We believe that our approach could be useful for international efforts in the area of semantic interoperability of EHR systems. PMID:25670753

Understanding the CCA Standard Through Decaf

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kumfert, G

2003-04-17

This document is a tutorial on the CCA Standard as realized through the Decaf implementation. Decaf does not equal the CCA standard much in the same way that Microsoft Visual C++ is not ANSI/ISO C++. This document was created because the CCA standard is evolving and still too fluid to nail down in a tutorial document. Because of its fluidity, and that it represents a hotbed of research and development, beginners can only start learning CCA by choosing one of the frameworks (warts and all). Decaf has just enough functionality to be a useful tool for beginners in the CCAmore » to get started on. Though it lacks many features of the bigger CCA frameworks (CCAFE [3], XCAT [10], and SciRUN [8]) where the heavy-duty research is still going on, it is the first CCA framework that is underpinned by Babel, which provides its language interoperability features. This document can also serve the dual-purpose of providing a reasonable-sized example of building an application using Babel. The entire source for Decaf is included in the examples/subdirectory of the Babel code distribution. This manual assumes the reader is a programmer who has a conceptual understanding of the Babel Language Interoperability Tool. They should be proficient in two or more of the following languages: Fortran77, C, C++, Java, or Python. Furthermore, this manual assumes the reader is familiar with the SPMD{sup 2} programming model that pervades the scientific computing community. Knowledge of and experience with MPI programming is helpful, but not strictly required.« less

A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains.

PubMed

Sinaci, A Anil; Laleci Erturkmen, Gokce B

2013-10-01

In order to enable secondary use of Electronic Health Records (EHRs) by bridging the interoperability gap between clinical care and research domains, in this paper, a unified methodology and the supporting framework is introduced which brings together the power of metadata registries (MDR) and semantic web technologies. We introduce a federated semantic metadata registry framework by extending the ISO/IEC 11179 standard, and enable integration of data element registries through Linked Open Data (LOD) principles where each Common Data Element (CDE) can be uniquely referenced, queried and processed to enable the syntactic and semantic interoperability. Each CDE and their components are maintained as LOD resources enabling semantic links with other CDEs, terminology systems and with implementation dependent content models; hence facilitating semantic search, much effective reuse and semantic interoperability across different application domains. There are several important efforts addressing the semantic interoperability in healthcare domain such as IHE DEX profile proposal, CDISC SHARE and CDISC2RDF. Our architecture complements these by providing a framework to interlink existing data element registries and repositories for multiplying their potential for semantic interoperability to a greater extent. Open source implementation of the federated semantic MDR framework presented in this paper is the core of the semantic interoperability layer of the SALUS project which enables the execution of the post marketing safety analysis studies on top of existing EHR systems. Copyright © 2013 Elsevier Inc. All rights reserved.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hardin, Dave; Stephan, Eric G.; Wang, Weimin

Through its Building Technologies Office (BTO), the United States Department of Energy’s Office of Energy Efficiency and Renewable Energy (DOE-EERE) is sponsoring an effort to advance interoperability for the integration of intelligent buildings equipment and automation systems, understanding the importance of integration frameworks and product ecosystems to this cause. This is important to BTO’s mission to enhance energy efficiency and save energy for economic and environmental purposes. For connected buildings ecosystems of products and services from various manufacturers to flourish, the ICT aspects of the equipment need to integrate and operate simply and reliably. Within the concepts of interoperability liemore » the specification, development, and certification of equipment with standards-based interfaces that connect and work. Beyond this, a healthy community of stakeholders that contribute to and use interoperability work products must be developed. On May 1, 2014, the DOE convened a technical meeting to take stock of the current state of interoperability of connected equipment and systems in buildings. Several insights from that meeting helped facilitate a draft description of the landscape of interoperability for connected buildings, which focuses mainly on small and medium commercial buildings. This document revises the February 2015 landscape document to address reviewer comments, incorporate important insights from the Buildings Interoperability Vision technical meeting, and capture thoughts from that meeting about the topics to be addressed in a buildings interoperability vision. In particular, greater attention is paid to the state of information modeling in buildings and the great potential for near-term benefits in this area from progress and community alignment.« less

Kalman approach to accuracy management for interoperable heterogeneous model abstraction within an HLA-compliant simulation

NASA Astrophysics Data System (ADS)

Leskiw, Donald M.; Zhau, Junmei

2000-06-01

This paper reports on results from an ongoing project to develop methodologies for representing and managing multiple, concurrent levels of detail and enabling high performance computing using parallel arrays within distributed object-based simulation frameworks. At this time we present the methodology for representing and managing multiple, concurrent levels of detail and modeling accuracy by using a representation based on the Kalman approach for estimation. The Kalman System Model equations are used to represent model accuracy, Kalman Measurement Model equations provide transformations between heterogeneous levels of detail, and interoperability among disparate abstractions is provided using a form of the Kalman Update equations.

Metadata behind the Interoperability of Wireless Sensor Networks

PubMed Central

Ballari, Daniela; Wachowicz, Monica; Callejo, Miguel Angel Manso

2009-01-01

Wireless Sensor Networks (WSNs) produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of context as an explicit representation of changes of a WSN status inferred from metadata elements, which in turn, leads towards a decision-making process about how to maintain dynamic interoperability. This paper describes the developed context model to represent and reason over different WSN status based on four types of contexts, which have been identified as sensing, node, network and organisational contexts. The reasoning has been addressed by developing contextualising and bridges rules. As a result, we were able to demonstrate how contextualising rules have been used to reason on changes of WSN status as a first step towards maintaining dynamic interoperability. PMID:22412330

Metadata behind the Interoperability of Wireless Sensor Networks.

PubMed

Ballari, Daniela; Wachowicz, Monica; Callejo, Miguel Angel Manso

2009-01-01

Wireless Sensor Networks (WSNs) produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of context as an explicit representation of changes of a WSN status inferred from metadata elements, which in turn, leads towards a decision-making process about how to maintain dynamic interoperability. This paper describes the developed context model to represent and reason over different WSN status based on four types of contexts, which have been identified as sensing, node, network and organisational contexts. The reasoning has been addressed by developing contextualising and bridges rules. As a result, we were able to demonstrate how contextualising rules have been used to reason on changes of WSN status as a first step towards maintaining dynamic interoperability.

Semantics-driven modelling of user preferences for information retrieval in the biomedical domain.

PubMed

Gladun, Anatoly; Rogushina, Julia; Valencia-García, Rafael; Béjar, Rodrigo Martínez

2013-03-01

A large amount of biomedical and genomic data are currently available on the Internet. However, data are distributed into heterogeneous biological information sources, with little or even no organization. Semantic technologies provide a consistent and reliable basis with which to confront the challenges involved in the organization, manipulation and visualization of data and knowledge. One of the knowledge representation techniques used in semantic processing is the ontology, which is commonly defined as a formal and explicit specification of a shared conceptualization of a domain of interest. The work presented here introduces a set of interoperable algorithms that can use domain and ontological information to improve information-retrieval processes. This work presents an ontology-based information-retrieval system for the biomedical domain. This system, with which some experiments have been carried out that are described in this paper, is based on the use of domain ontologies for the creation and normalization of lightweight ontologies that represent user preferences in a determined domain in order to improve information-retrieval processes.

UniDA: Uniform Device Access Framework for Human Interaction Environments

PubMed Central

Varela, Gervasio; Paz-Lopez, Alejandro; Becerra, Jose Antonio; Vazquez-Rodriguez, Santiago; Duro, Richard José

2011-01-01

Human interaction environments (HIE) must be understood as any place where people carry out their daily life, including their work, family life, leisure and social life, interacting with technology to enhance or facilitate the experience. The integration of technology in these environments has been achieved in a disorderly and incompatible way, with devices operating in isolated islands with artificial edges delimited by the manufacturers. In this paper we are presenting the UniDA framework, an integral solution for the development of systems that require the integration and interoperation of devices and technologies in HIEs. It provides developers and installers with a uniform conceptual framework capable of modelling an HIE, together with a set of libraries, tools and devices to build distributed instrumentation networks with support for transparent integration of other technologies. A series of use case examples and a comparison to many of the existing technologies in the field has been included in order to show the benefits of using UniDA. PMID:22163700

UniDA: uniform device access framework for human interaction environments.

PubMed

Varela, Gervasio; Paz-Lopez, Alejandro; Becerra, Jose Antonio; Vazquez-Rodriguez, Santiago; Duro, Richard José

2011-01-01

Human interaction environments (HIE) must be understood as any place where people carry out their daily life, including their work, family life, leisure and social life, interacting with technology to enhance or facilitate the experience. The integration of technology in these environments has been achieved in a disorderly and incompatible way, with devices operating in isolated islands with artificial edges delimited by the manufacturers. In this paper we are presenting the UniDA framework, an integral solution for the development of systems that require the integration and interoperation of devices and technologies in HIEs. It provides developers and installers with a uniform conceptual framework capable of modelling an HIE, together with a set of libraries, tools and devices to build distributed instrumentation networks with support for transparent integration of other technologies. A series of use case examples and a comparison to many of the existing technologies in the field has been included in order to show the benefits of using UniDA.

Personalized-detailed clinical model for data interoperability among clinical standards.

PubMed

Khan, Wajahat Ali; Hussain, Maqbool; Afzal, Muhammad; Amin, Muhammad Bilal; Saleem, Muhammad Aamir; Lee, Sungyoung

2013-08-01

Data interoperability among health information exchange (HIE) systems is a major concern for healthcare practitioners to enable provisioning of telemedicine-related services. Heterogeneity exists in these systems not only at the data level but also among different heterogeneous healthcare standards with which these are compliant. The relationship between healthcare organization data and different heterogeneous standards is necessary to achieve the goal of data level interoperability. We propose a personalized-detailed clinical model (P-DCM) approach for the generation of customized mappings that creates the necessary linkage between organization-conformed healthcare standards concepts and clinical model concepts to ensure data interoperability among HIE systems. We consider electronic health record (EHR) standards, openEHR, and HL7 CDA instances transformation using P-DCM. P-DCM concepts associated with openEHR and HL7 CDA help in transformation of instances among these standards. We investigated two datasets: (1) data of 100 diabetic patients, including 50 each of type 1 and type 2, from a local hospital in Korea and (2) data of a single Alzheimer's disease patient. P-DCMs were created for both scenarios, which provided the basis for deriving instances for HL7 CDA and openEHR standards. For proof of concept, we present case studies of encounter information for type 2 diabetes mellitus patients and monitoring of daily routine activities of an Alzheimer's disease patient. These reflect P-DCM-based customized mappings generation with openEHR and HL7 CDA standards. Customized mappings are generated based on the relationship of P-DCM concepts with CDA and openEHR concepts. The objective of this work is to achieve semantic data interoperability among heterogeneous standards. This would lead to effective utilization of resources and allow timely information exchange among healthcare systems.

Personalized-Detailed Clinical Model for Data Interoperability Among Clinical Standards

PubMed Central

Khan, Wajahat Ali; Hussain, Maqbool; Afzal, Muhammad; Amin, Muhammad Bilal; Saleem, Muhammad Aamir

2013-01-01

Abstract Objective: Data interoperability among health information exchange (HIE) systems is a major concern for healthcare practitioners to enable provisioning of telemedicine-related services. Heterogeneity exists in these systems not only at the data level but also among different heterogeneous healthcare standards with which these are compliant. The relationship between healthcare organization data and different heterogeneous standards is necessary to achieve the goal of data level interoperability. We propose a personalized-detailed clinical model (P-DCM) approach for the generation of customized mappings that creates the necessary linkage between organization-conformed healthcare standards concepts and clinical model concepts to ensure data interoperability among HIE systems. Materials and Methods: We consider electronic health record (EHR) standards, openEHR, and HL7 CDA instances transformation using P-DCM. P-DCM concepts associated with openEHR and HL7 CDA help in transformation of instances among these standards. We investigated two datasets: (1) data of 100 diabetic patients, including 50 each of type 1 and type 2, from a local hospital in Korea and (2) data of a single Alzheimer's disease patient. P-DCMs were created for both scenarios, which provided the basis for deriving instances for HL7 CDA and openEHR standards. Results: For proof of concept, we present case studies of encounter information for type 2 diabetes mellitus patients and monitoring of daily routine activities of an Alzheimer's disease patient. These reflect P-DCM-based customized mappings generation with openEHR and HL7 CDA standards. Customized mappings are generated based on the relationship of P-DCM concepts with CDA and openEHR concepts. Conclusions: The objective of this work is to achieve semantic data interoperability among heterogeneous standards. This would lead to effective utilization of resources and allow timely information exchange among healthcare systems. PMID:23875730

Achieving control and interoperability through unified model-based systems and software engineering

NASA Technical Reports Server (NTRS)

Rasmussen, Robert; Ingham, Michel; Dvorak, Daniel

2005-01-01

Control and interoperation of complex systems is one of the most difficult challenges facing NASA's Exploration Systems Mission Directorate. An integrated but diverse array of vehicles, habitats, and supporting facilities, evolving over the long course of the enterprise, must perform ever more complex tasks while moving steadily away from the sphere of ground support and intervention.

PyMOOSE: Interoperable Scripting in Python for MOOSE

PubMed Central

Ray, Subhasis; Bhalla, Upinder S.

2008-01-01

Python is emerging as a common scripting language for simulators. This opens up many possibilities for interoperability in the form of analysis, interfaces, and communications between simulators. We report the integration of Python scripting with the Multi-scale Object Oriented Simulation Environment (MOOSE). MOOSE is a general-purpose simulation system for compartmental neuronal models and for models of signaling pathways based on chemical kinetics. We show how the Python-scripting version of MOOSE, PyMOOSE, combines the power of a compiled simulator with the versatility and ease of use of Python. We illustrate this by using Python numerical libraries to analyze MOOSE output online, and by developing a GUI in Python/Qt for a MOOSE simulation. Finally, we build and run a composite neuronal/signaling model that uses both the NEURON and MOOSE numerical engines, and Python as a bridge between the two. Thus PyMOOSE has a high degree of interoperability with analysis routines, with graphical toolkits, and with other simulators. PMID:19129924

Transformation of standardized clinical models based on OWL technologies: from CEM to OpenEHR archetypes.

PubMed

Legaz-García, María del Carmen; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás; Chute, Christopher G; Tao, Cui

2015-05-01

The semantic interoperability of electronic healthcare records (EHRs) systems is a major challenge in the medical informatics area. International initiatives pursue the use of semantically interoperable clinical models, and ontologies have frequently been used in semantic interoperability efforts. The objective of this paper is to propose a generic, ontology-based, flexible approach for supporting the automatic transformation of clinical models, which is illustrated for the transformation of Clinical Element Models (CEMs) into openEHR archetypes. Our transformation method exploits the fact that the information models of the most relevant EHR specifications are available in the Web Ontology Language (OWL). The transformation approach is based on defining mappings between those ontological structures. We propose a way in which CEM entities can be transformed into openEHR by using transformation templates and OWL as common representation formalism. The transformation architecture exploits the reasoning and inferencing capabilities of OWL technologies. We have devised a generic, flexible approach for the transformation of clinical models, implemented for the unidirectional transformation from CEM to openEHR, a series of reusable transformation templates, a proof-of-concept implementation, and a set of openEHR archetypes that validate the methodological approach. We have been able to transform CEM into archetypes in an automatic, flexible, reusable transformation approach that could be extended to other clinical model specifications. We exploit the potential of OWL technologies for supporting the transformation process. We believe that our approach could be useful for international efforts in the area of semantic interoperability of EHR systems. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Interoperability challenges in river discharge modelling: A cross domain application scenario

NASA Astrophysics Data System (ADS)

Santoro, Mattia; Andres, Volker; Jirka, Simon; Koike, Toshio; Looser, Ulrich; Nativi, Stefano; Pappenberger, Florian; Schlummer, Manuela; Strauch, Adrian; Utech, Michael; Zsoter, Ervin

2018-06-01

River discharge is a critical water cycle variable, as it integrates all the processes (e.g. runoff and evapotranspiration) occurring within a river basin and provides a hydrological output variable that can be readily measured. Its prediction is of invaluable help for many water-related tasks including water resources assessment and management, flood protection, and disaster mitigation. Observations of river discharge are important to calibrate and validate hydrological or coupled land, atmosphere and ocean models. This requires using datasets from different scientific domains (Water, Weather, etc.). Typically, such datasets are provided using different technological solutions. This complicates the integration of new hydrological data sources into application systems. Therefore, a considerable effort is often spent on data access issues instead of the actual scientific question. This paper describes the work performed to address multidisciplinary interoperability challenges related to river discharge modeling and validation. This includes definition and standardization of domain specific interoperability standards for hydrological data sharing and their support in global frameworks such as the Global Earth Observation System of Systems (GEOSS). The research was developed in the context of the EU FP7-funded project GEOWOW (GEOSS Interoperability for Weather, Ocean and Water), which implemented a "River Discharge" application scenario. This scenario demonstrates the combination of river discharge observations data from the Global Runoff Data Centre (GRDC) database and model outputs produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) predicting river discharge based on weather forecast information in the context of the GEOSS.

An adaptive semantic based mediation system for data interoperability among Health Information Systems.

PubMed

Khan, Wajahat Ali; Khattak, Asad Masood; Hussain, Maqbool; Amin, Muhammad Bilal; Afzal, Muhammad; Nugent, Christopher; Lee, Sungyoung

2014-08-01

Heterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This diversity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous formats for achieving data interoperability. We propose an adaptive AdapteR Interoperability ENgine mediation system called ARIEN, that arbitrates between HISs compliant to different healthcare standards for accurate and seamless information exchange to achieve data interoperability. ARIEN stores the semantic mapping information between different standards in the Mediation Bridge Ontology (MBO) using ontology matching techniques. These mappings are provided by our System for Parallel Heterogeneity (SPHeRe) matching system and Personalized-Detailed Clinical Model (P-DCM) approach to guarantee accuracy of mappings. The realization of the effectiveness of the mappings stored in the MBO is evaluation of the accuracy in transformation process among different standard formats. We evaluated our proposed system with the transformation process of medical records between Clinical Document Architecture (CDA) and Virtual Medical Record (vMR) standards. The transformation process achieved over 90 % of accuracy level in conversion process between CDA and vMR standards using pattern oriented approach from the MBO. The proposed mediation system improves the overall communication process between HISs. It provides an accurate and seamless medical information exchange to ensure data interoperability and timely healthcare services to patients.

Improving Interoperability between Registries and EHRs

PubMed Central

Blumenthal, Seth

2018-01-01

National performance measurement needs clinical data that track the performance of multi disciplinary teams across episodes of care. Clinical registries are ideal platforms for this work due to their capture of structured, specific data across specialties. Because registries collect data at a national level, and registry data are captured in a consistent structure and format within each registry, registry data are useful for measurement and analysis “out of the box”. Registry business models are hampered by the cost of collecting data from EHRs and other source systems and abstracting or mapping them to fit registry data models. The National Quality Registry Network (NQRN) has launched Registries on FHIR, an initiative to lower barriers to achieving semantic interoperability between registries and source data systems. In 2017 Registries on FHIR conducted an information gathering campaign to learn where registries want better interoperability, and how to go about improving it. PMID:29888033

Best Practices for Preparing Interoperable Geospatial Data

NASA Astrophysics Data System (ADS)

Wei, Y.; Santhana Vannan, S.; Cook, R. B.; Wilson, B. E.; Beaty, T. W.

2010-12-01

Geospatial data is critically important for a wide scope of research and applications: carbon cycle and ecosystem, climate change, land use and urban planning, environmental protecting, etc. Geospatial data is created by different organizations using different methods, from remote sensing observations, field surveys, model simulations, etc., and stored in various formats. So geospatial data is diverse and heterogeneous, which brings a huge barrier for the sharing and using of geospatial data, especially when targeting a broad user community. Many efforts have been taken to address different aspects of using geospatial data by improving its interoperability. For example, the specification for Open Geospatial Consortium (OGC) catalog services defines a standard way for geospatial information discovery; OGC Web Coverage Services (WCS) and OPeNDAP define interoperable protocols for geospatial data access, respectively. But the reality is that only having the standard mechanisms for data discovery and access is not enough. The geospatial data content itself has to be organized in standard, easily understandable, and readily usable formats. The Oak Ridge National Lab Distributed Archived Data Center (ORNL DAAC) archives data and information relevant to biogeochemical dynamics, ecological data, and environmental processes. The Modeling and Synthesis Thematic Data Center (MAST-DC) prepares and distributes both input data and output data of carbon cycle models and provides data support for synthesis and terrestrial model inter-comparison in multi-scales. Both of these NASA-funded data centers compile and distribute a large amount of diverse geospatial data and have broad user communities, including GIS users, Earth science researchers, and ecosystem modeling teams. The ORNL DAAC and MAST-DC address this geospatial data interoperability issue by standardizing the data content and feeding them into a well-designed Spatial Data Infrastructure (SDI) which provides interoperable mechanisms to advertise, visualize, and distribute the standardized geospatial data. In this presentation, we summarize the experiences learned and the best practices for geospatial data standardization. The presentation will describe how diverse and historical data archived in the ORNL DAAC were converted into standard and non-proprietary formats; what tools were used to make the conversion; how the spatial and temporal information are properly captured in a consistent manor; how to name a data file or a variable to make it both human-friendly and semantically interoperable; how NetCDF file format and CF convention can promote the data usage in ecosystem modeling user community; how those standardized geospatial data can be fed into OGC Web Services to support on-demand data visualization and access; and how the metadata should be collected and organized so that they can be discovered through standard catalog services.

The caCORE Software Development Kit: Streamlining construction of interoperable biomedical information services

PubMed Central

Phillips, Joshua; Chilukuri, Ram; Fragoso, Gilberto; Warzel, Denise; Covitz, Peter A

2006-01-01

Background Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented application programming interfaces (APIs). The National Cancer Institute (NCI) developed the cancer common ontologic representation environment (caCORE) to provide the infrastructure necessary to achieve interoperability across the systems it develops or sponsors. The caCORE Software Development Kit (SDK) was designed to provide developers both within and outside the NCI with the tools needed to construct such interoperable software systems. Results The caCORE SDK requires a Unified Modeling Language (UML) tool to begin the development workflow with the construction of a domain information model in the form of a UML Class Diagram. Models are annotated with concepts and definitions from a description logic terminology source using the Semantic Connector component. The annotated model is registered in the Cancer Data Standards Repository (caDSR) using the UML Loader component. System software is automatically generated using the Codegen component, which produces middleware that runs on an application server. The caCORE SDK was initially tested and validated using a seven-class UML model, and has been used to generate the caCORE production system, which includes models with dozens of classes. The deployed system supports access through object-oriented APIs with consistent syntax for retrieval of any type of data object across all classes in the original UML model. The caCORE SDK is currently being used by several development teams, including by participants in the cancer biomedical informatics grid (caBIG) program, to create compatible data services. caBIG compatibility standards are based upon caCORE resources, and thus the caCORE SDK has emerged as a key enabling technology for caBIG. Conclusion The caCORE SDK substantially lowers the barrier to implementing systems that are syntactically and semantically interoperable by providing workflow and automation tools that standardize and expedite modeling, development, and deployment. It has gained acceptance among developers in the caBIG program, and is expected to provide a common mechanism for creating data service nodes on the data grid that is under development. PMID:16398930

Semantics-Based Interoperability Framework for the Geosciences

NASA Astrophysics Data System (ADS)

Sinha, A.; Malik, Z.; Raskin, R.; Barnes, C.; Fox, P.; McGuinness, D.; Lin, K.

2008-12-01

Interoperability between heterogeneous data, tools and services is required to transform data to knowledge. To meet geoscience-oriented societal challenges such as forcing of climate change induced by volcanic eruptions, we suggest the need to develop semantic interoperability for data, services, and processes. Because such scientific endeavors require integration of multiple data bases associated with global enterprises, implicit semantic-based integration is impossible. Instead, explicit semantics are needed to facilitate interoperability and integration. Although different types of integration models are available (syntactic or semantic) we suggest that semantic interoperability is likely to be the most successful pathway. Clearly, the geoscience community would benefit from utilization of existing XML-based data models, such as GeoSciML, WaterML, etc to rapidly advance semantic interoperability and integration. We recognize that such integration will require a "meanings-based search, reasoning and information brokering", which will be facilitated through inter-ontology relationships (ontologies defined for each discipline). We suggest that Markup languages (MLs) and ontologies can be seen as "data integration facilitators", working at different abstraction levels. Therefore, we propose to use an ontology-based data registration and discovery approach to compliment mark-up languages through semantic data enrichment. Ontologies allow the use of formal and descriptive logic statements which permits expressive query capabilities for data integration through reasoning. We have developed domain ontologies (EPONT) to capture the concept behind data. EPONT ontologies are associated with existing ontologies such as SUMO, DOLCE and SWEET. Although significant efforts have gone into developing data (object) ontologies, we advance the idea of developing semantic frameworks for additional ontologies that deal with processes and services. This evolutionary step will facilitate the integrative capabilities of scientists as we examine the relationships between data and external factors such as processes that may influence our understanding of "why" certain events happen. We emphasize the need to go from analysis of data to concepts related to scientific principles of thermodynamics, kinetics, heat flow, mass transfer, etc. Towards meeting these objectives, we report on a pair of related service engines: DIA (Discovery, integration and analysis), and SEDRE (Semantically-Enabled Data Registration Engine) that utilize ontologies for semantic interoperability and integration.

Balancing accuracy, efficiency, and flexibility in a radiative transfer parameterization for dynamical models

NASA Astrophysics Data System (ADS)

Pincus, R.; Mlawer, E. J.

2017-12-01

Radiation is key process in numerical models of the atmosphere. The problem is well-understood and the parameterization of radiation has seen relatively few conceptual advances in the past 15 years. It is nonthelss often the single most expensive component of all physical parameterizations despite being computed less frequently than other terms. This combination of cost and maturity suggests value in a single radiation parameterization that could be shared across models; devoting effort to a single parameterization might allow for fine tuning for efficiency. The challenge lies in the coupling of this parameterization to many disparate representations of clouds and aerosols. This talk will describe RRTMGP, a new radiation parameterization that seeks to balance efficiency and flexibility. This balance is struck by isolating computational tasks in "kernels" that expose as much fine-grained parallelism as possible. These have simple interfaces and are interoperable across programming languages so that they might be repalced by alternative implementations in domain-specific langauges. Coupling to the host model makes use of object-oriented features of Fortran 2003, minimizing branching within the kernels and the amount of data that must be transferred. We will show accuracy and efficiency results for a globally-representative set of atmospheric profiles using a relatively high-resolution spectral discretization.

An EarthCube Roadmap for Cross-Domain Interoperability in the Geosciences: Governance Aspects

NASA Astrophysics Data System (ADS)

Zaslavsky, I.; Couch, A.; Richard, S. M.; Valentine, D. W.; Stocks, K.; Murphy, P.; Lehnert, K. A.

2012-12-01

The goal of cross-domain interoperability is to enable reuse of data and models outside the original context in which these data and models are collected and used and to facilitate analysis and modeling of physical processes that are not confined to disciplinary or jurisdictional boundaries. A new research initiative of the U.S. National Science Foundation, called EarthCube, is developing a roadmap to address challenges of interoperability in the earth sciences and create a blueprint for community-guided cyberinfrastructure accessible to a broad range of geoscience researchers and students. Infrastructure readiness for cross-domain interoperability encompasses the capabilities that need to be in place for such secondary or derivative-use of information to be both scientifically sound and technically feasible. In this initial assessment we consider the following four basic infrastructure components that need to be present to enable cross-domain interoperability in the geosciences: metadata catalogs (at the appropriate community defined granularity) that provide standard discovery services over datasets, data access services, models and other resources of the domain; vocabularies that support unambiguous interpretation of domain resources and metadata; services used to access data repositories and other resources including models, visualizations and workflows; and formal information models that define structure and semantics of the information returned on service requests. General standards for these components have been proposed; they form the backbone of large scale integration activities in the geosciences. By utilizing these standards, EarthCube research designs can take advantage of data discovery across disciplines using the commonality in key data characteristics related to shared models of spatial features, time measurements, and observations. Data can be discovered via federated catalogs and linked nomenclatures from neighboring domains, while standard data services can be used to transparently compile composite data products. Key questions addressed in this presentation are: (1) How to define and assess readiness of existing domain information systems for cross-domain re-use? (2) How to determine EarthCube development priorities given a multitude of use cases that involve cross-domain data flows? and (3) How to involve a wider community of geoscientists in the development and curation of cross-domain resources and incorporate community feedback in the CI design? Answering them involves consideration of governance mechanisms for cross-domain interoperability: while domain information systems and projects developed governance mechanisms, managing cross-domain CI resources and supporting cross-domain information re-use hasn't been the development focus at the scale of the geosciences. We present a cross-domain readiness model as enabling effective communication among scientists, governance bodies, and information providers. We also present an initial readiness assessment and a cross-domain connectivity map for the geosciences, and outline processes for eliciting user requirements, setting priorities, and obtaining community consensus.

Lessons learned in detailed clinical modeling at Intermountain Healthcare

PubMed Central

Oniki, Thomas A; Coyle, Joseph F; Parker, Craig G; Huff, Stanley M

2014-01-01

Background and objective Intermountain Healthcare has a long history of using coded terminology and detailed clinical models (DCMs) to govern storage of clinical data to facilitate decision support and semantic interoperability. The latest iteration of DCMs at Intermountain is called the clinical element model (CEM). We describe the lessons learned from our CEM efforts with regard to subjective decisions a modeler frequently needs to make in creating a CEM. We present insights and guidelines, but also describe situations in which use cases conflict with the guidelines. We propose strategies that can help reconcile the conflicts. The hope is that these lessons will be helpful to others who are developing and maintaining DCMs in order to promote sharing and interoperability. Methods We have used the Clinical Element Modeling Language (CEML) to author approximately 5000 CEMs. Results Based on our experience, we have formulated guidelines to lead our modelers through the subjective decisions they need to make when authoring models. Reported here are guidelines regarding precoordination/postcoordination, dividing content between the model and the terminology, modeling logical attributes, and creating iso-semantic models. We place our lessons in context, exploring the potential benefits of an implementation layer, an iso-semantic modeling framework, and ontologic technologies. Conclusions We assert that detailed clinical models can advance interoperability and sharing, and that our guidelines, an implementation layer, and an iso-semantic framework will support our progress toward that goal. PMID:24993546

The solution of target assignment problem in command and control decision-making behaviour simulation

NASA Astrophysics Data System (ADS)

Li, Ni; Huai, Wenqing; Wang, Shaodan

2017-08-01

C2 (command and control) has been understood to be a critical military component to meet an increasing demand for rapid information gathering and real-time decision-making in a dynamically changing battlefield environment. In this article, to improve a C2 behaviour model's reusability and interoperability, a behaviour modelling framework was proposed to specify a C2 model's internal modules and a set of interoperability interfaces based on the C-BML (coalition battle management language). WTA (weapon target assignment) is a typical C2 autonomous decision-making behaviour modelling problem. Different from most WTA problem descriptions, here sensors were considered to be available resources of detection and the relationship constraints between weapons and sensors were also taken into account, which brought it much closer to actual application. A modified differential evolution (MDE) algorithm was developed to solve this high-dimension optimisation problem and obtained an optimal assignment plan with high efficiency. In case study, we built a simulation system to validate the proposed C2 modelling framework and interoperability interface specification. Also, a new optimisation solution was used to solve the WTA problem efficiently and successfully.

Towards a cross-domain interoperable framework for natural hazards and disaster risk reduction information

NASA Astrophysics Data System (ADS)

Tomas, Robert; Harrison, Matthew; Barredo, José I.; Thomas, Florian; Llorente Isidro, Miguel; Cerba, Otakar; Pfeiffer, Manuela

2014-05-01

The vast amount of information and data necessary for comprehensive hazard and risk assessment presents many challenges regarding the lack of accessibility, comparability, quality, organisation and dissemination of natural hazards spatial data. In order to mitigate these limitations an interoperable framework has been developed in the framework of the development of legally binding Implementing rules of the EU INSPIRE Directive1* aiming at the establishment of the European Spatial Data Infrastructure. The interoperability framework is described in the Data Specification on Natural risk zones - Technical Guidelines (DS) document2* that was finalized and published on 10.12. 2013. This framework provides means for facilitating access, integration, harmonisation and dissemination of natural hazard data from different domains and sources. The objective of this paper is twofold. Firstly, the paper demonstrates the applicability of the interoperable framework developed in the DS and highlights the key aspects of the interoperability to the various natural hazards communities. Secondly, the paper "translates" into common language the main features and potentiality of the interoperable framework of the DS for a wider audience of scientists and practitioners in the natural hazards domain. Further in this paper the main five aspects of the interoperable framework will be presented. First, the issue of a common terminology for the natural hazards domain will be addressed. A common data model to facilitate cross domain data integration will follow secondly. Thirdly, the common methodology developed to provide qualitative or quantitative assessments of natural hazards will be presented. Fourthly, the extensible classification schema for natural hazards developed from a literature review and key reference documents from the contributing community of practice will be shown. Finally, the applicability of the interoperable framework for the various stakeholder groups will be also presented. This paper closes discussing open issues and next steps regarding the sustainability and evolution of the interoperable framework and missing aspects such as multi-hazard and multi-risk. --------------- 1*INSPIRE - Infrastructure for spatial information in Europe, http://inspire.ec.europa.eu 2*http://inspire.jrc.ec.europa.eu/documents/Data_Specifications/INSPIRE_DataSpecification_NZ_v3.0.pdf

Architectural Blueprint for Plate Boundary Observatories based on interoperable Data Management Platforms

NASA Astrophysics Data System (ADS)

Kerschke, D. I.; Häner, R.; Schurr, B.; Oncken, O.; Wächter, J.

2014-12-01

Interoperable data management platforms play an increasing role in the advancement of knowledge and technology in many scientific disciplines. Through high quality services they support the establishment of efficient and innovative research environments. Well-designed research environments can facilitate the sustainable utilization, exchange, and re-use of scientific data and functionality by using standardized community models. Together with innovative 3D/4D visualization, these concepts provide added value in improving scientific knowledge-gain, even across the boundaries of disciplines. A project benefiting from the added value is the Integrated Plate boundary Observatory in Chile (IPOC). IPOC is a European-South American network to study earthquakes and deformation at the Chilean continental margin and to monitor the plate boundary system for capturing an anticipated great earthquake in a seismic gap. In contrast to conventional observatories that monitor individual signals only, IPOC captures a large range of different processes through various observation methods (e.g., seismographs, GPS, magneto-telluric sensors, creep-meter, accelerometer, InSAR). For IPOC a conceptual design has been devised that comprises an architectural blueprint for a data management platform based on common and standardized data models, protocols, and encodings as well as on an exclusive use of Free and Open Source Software (FOSS) including visualization components. Following the principles of event-driven service-oriented architectures, the design enables novel processes by sharing and re-using functionality and information on the basis of innovative data mining and data fusion technologies. This platform can help to improve the understanding of the physical processes underlying plate deformations as well as the natural hazards induced by them. Through the use of standards, this blueprint can not only be facilitated for other plate observing systems (e.g., the European Plate Observing System EPOS), it also supports integrated approaches to include sensor networks that provide complementary processes for dynamic monitoring. Moreover, the integration of such observatories into superordinate research infrastructures (federation of virtual observatories) will be enabled.

Dealing with Diversity in Computational Cancer Modeling

PubMed Central

Johnson, David; McKeever, Steve; Stamatakos, Georgios; Dionysiou, Dimitra; Graf, Norbert; Sakkalis, Vangelis; Marias, Konstantinos; Wang, Zhihui; Deisboeck, Thomas S.

2013-01-01

This paper discusses the need for interconnecting computational cancer models from different sources and scales within clinically relevant scenarios to increase the accuracy of the models and speed up their clinical adaptation, validation, and eventual translation. We briefly review current interoperability efforts drawing upon our experiences with the development of in silico models for predictive oncology within a number of European Commission Virtual Physiological Human initiative projects on cancer. A clinically relevant scenario, addressing brain tumor modeling that illustrates the need for coupling models from different sources and levels of complexity, is described. General approaches to enabling interoperability using XML-based markup languages for biological modeling are reviewed, concluding with a discussion on efforts towards developing cancer-specific XML markup to couple multiple component models for predictive in silico oncology. PMID:23700360

Multi-disciplinary interoperability challenges (Ian McHarg Medal Lecture)

NASA Astrophysics Data System (ADS)

Annoni, Alessandro

2013-04-01

Global sustainability research requires multi-disciplinary efforts to address the key research challenges to increase our understanding of the complex relationships between environment and society. For this reason dependence on ICT systems interoperability is rapidly growing but, despite some relevant technological improvement is observed, in practice operational interoperable solutions are still lacking. Among the causes is the absence of a generally accepted definition of "interoperability" in all its broader aspects. In fact the concept of interoperability is just a concept and the more popular definitions are not addressing all challenges to realize operational interoperable solutions. The problem become even more complex when multi-disciplinary interoperability is required because in that case solutions for interoperability of different interoperable solution should be envisaged. In this lecture the following definition will be used: "interoperability is the ability to exchange information and to use it". In the lecture the main challenges for addressing multi-disciplinary interoperability will be presented and a set of proposed approaches/solutions shortly introduced.

Operational Plan Ontology Model for Interconnection and Interoperability

NASA Astrophysics Data System (ADS)

Long, F.; Sun, Y. K.; Shi, H. Q.

2017-03-01

Aiming at the assistant decision-making system’s bottleneck of processing the operational plan data and information, this paper starts from the analysis of the problem of traditional expression and the technical advantage of ontology, and then it defines the elements of the operational plan ontology model and determines the basis of construction. Later, it builds up a semi-knowledge-level operational plan ontology model. Finally, it probes into the operational plan expression based on the operational plan ontology model and the usage of the application software. Thus, this paper has the theoretical significance and application value in the improvement of interconnection and interoperability of the operational plan among assistant decision-making systems.

Documenting Models for Interoperability and Reusability (proceedings)

EPA Science Inventory

Many modeling frameworks compartmentalize science via individual models that link sets of small components to create larger modeling workflows. Developing integrated watershed models increasingly requires coupling multidisciplinary, independent models, as well as collaboration be...

Documenting Models for Interoperability and Reusability

EPA Science Inventory

Many modeling frameworks compartmentalize science via individual models that link sets of small components to create larger modeling workflows. Developing integrated watershed models increasingly requires coupling multidisciplinary, independent models, as well as collaboration be...

Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks

NASA Astrophysics Data System (ADS)

Horita, Flávio E. A.; Albuquerque, João Porto de; Degrossi, Lívia C.; Mendiondo, Eduardo M.; Ueyama, Jó

2015-07-01

Effective flood risk management requires updated information to ensure that the correct decisions can be made. This can be provided by Wireless Sensor Networks (WSN) which are a low-cost means of collecting updated information about rivers. Another valuable resource is Volunteered Geographic Information (VGI) which is a comparatively new means of improving the coverage of monitored areas because it is able to supply supplementary information to the WSN and thus support decision-making in flood risk management. However, there still remains the problem of how to combine WSN data with VGI. In this paper, an attempt is made to investigate AGORA-DS, which is a Spatial Decision Support System (SDSS) that is able to make flood risk management more effective by combining these data sources, i.e. WSN with VGI. This approach is built over a conceptual model that complies with the interoperable standards laid down by the Open Geospatial Consortium (OGC) - e.g. Sensor Observation Service (SOS) and Web Feature Service (WFS) - and seeks to combine and present unified information in a web-based decision support tool. This work was deployed in a real scenario of flood risk management in the town of São Carlos in Brazil. The evidence obtained from this deployment confirmed that interoperable standards can support the integration of data from distinct data sources. In addition, they also show that VGI is able to provide information about areas of the river basin which lack data since there is no appropriate station in the area. Hence it provides a valuable support for the WSN data. It can thus be concluded that AGORA-DS is able to combine information provided by WSN and VGI, and provide useful information for supporting flood risk management.

Creating a data exchange strategy for radiotherapy research: towards federated databases and anonymised public datasets.

PubMed

Skripcak, Tomas; Belka, Claus; Bosch, Walter; Brink, Carsten; Brunner, Thomas; Budach, Volker; Büttner, Daniel; Debus, Jürgen; Dekker, Andre; Grau, Cai; Gulliford, Sarah; Hurkmans, Coen; Just, Uwe; Krause, Mechthild; Lambin, Philippe; Langendijk, Johannes A; Lewensohn, Rolf; Lühr, Armin; Maingon, Philippe; Masucci, Michele; Niyazi, Maximilian; Poortmans, Philip; Simon, Monique; Schmidberger, Heinz; Spezi, Emiliano; Stuschke, Martin; Valentini, Vincenzo; Verheij, Marcel; Whitfield, Gillian; Zackrisson, Björn; Zips, Daniel; Baumann, Michael

2014-12-01

Disconnected cancer research data management and lack of information exchange about planned and ongoing research are complicating the utilisation of internationally collected medical information for improving cancer patient care. Rapidly collecting/pooling data can accelerate translational research in radiation therapy and oncology. The exchange of study data is one of the fundamental principles behind data aggregation and data mining. The possibilities of reproducing the original study results, performing further analyses on existing research data to generate new hypotheses or developing computational models to support medical decisions (e.g. risk/benefit analysis of treatment options) represent just a fraction of the potential benefits of medical data-pooling. Distributed machine learning and knowledge exchange from federated databases can be considered as one beyond other attractive approaches for knowledge generation within "Big Data". Data interoperability between research institutions should be the major concern behind a wider collaboration. Information captured in electronic patient records (EPRs) and study case report forms (eCRFs), linked together with medical imaging and treatment planning data, are deemed to be fundamental elements for large multi-centre studies in the field of radiation therapy and oncology. To fully utilise the captured medical information, the study data have to be more than just an electronic version of a traditional (un-modifiable) paper CRF. Challenges that have to be addressed are data interoperability, utilisation of standards, data quality and privacy concerns, data ownership, rights to publish, data pooling architecture and storage. This paper discusses a framework for conceptual packages of ideas focused on a strategic development for international research data exchange in the field of radiation therapy and oncology. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Creating a data exchange strategy for radiotherapy research: Towards federated databases and anonymised public datasets

PubMed Central

Skripcak, Tomas; Belka, Claus; Bosch, Walter; Brink, Carsten; Brunner, Thomas; Budach, Volker; Büttner, Daniel; Debus, Jürgen; Dekker, Andre; Grau, Cai; Gulliford, Sarah; Hurkmans, Coen; Just, Uwe; Krause, Mechthild; Lambin, Philippe; Langendijk, Johannes A.; Lewensohn, Rolf; Lühr, Armin; Maingon, Philippe; Masucci, Michele; Niyazi, Maximilian; Poortmans, Philip; Simon, Monique; Schmidberger, Heinz; Spezi, Emiliano; Stuschke, Martin; Valentini, Vincenzo; Verheij, Marcel; Whitfield, Gillian; Zackrisson, Björn; Zips, Daniel; Baumann, Michael

2015-01-01

Disconnected cancer research data management and lack of information exchange about planned and ongoing research are complicating the utilisation of internationally collected medical information for improving cancer patient care. Rapidly collecting/pooling data can accelerate translational research in radiation therapy and oncology. The exchange of study data is one of the fundamental principles behind data aggregation and data mining. The possibilities of reproducing the original study results, performing further analyses on existing research data to generate new hypotheses or developing computational models to support medical decisions (e.g. risk/benefit analysis of treatment options) represent just a fraction of the potential benefits of medical data-pooling. Distributed machine learning and knowledge exchange from federated databases can be considered as one beyond other attractive approaches for knowledge generation within “Big Data”. Data interoperability between research institutions should be the major concern behind a wider collaboration. Information captured in electronic patient records (EPRs) and study case report forms (eCRFs), linked together with medical imaging and treatment planning data, are deemed to be fundamental elements for large multi-centre studies in the field of radiation therapy and oncology. To fully utilise the captured medical information, the study data have to be more than just an electronic version of a traditional (un-modifiable) paper CRF. Challenges that have to be addressed are data interoperability, utilisation of standards, data quality and privacy concerns, data ownership, rights to publish, data pooling architecture and storage. This paper discusses a framework for conceptual packages of ideas focused on a strategic development for international research data exchange in the field of radiation therapy and oncology. PMID:25458128

Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services

PubMed Central

Daniel, Christel; Ouagne, David; Sadou, Eric; Forsberg, Kerstin; Gilchrist, Mark Mc; Zapletal, Eric; Paris, Nicolas; Hussain, Sajjad; Jaulent, Marie-Christine; MD, Dipka Kalra

2016-01-01

With the development of platforms enabling the use of routinely collected clinical data in the context of international clinical research, scalable solutions for cross border semantic interoperability need to be developed. Within the context of the IMI EHR4CR project, we first defined the requirements and evaluation criteria of the EHR4CR semantic interoperability platform and then developed the semantic resources and supportive services and tooling to assist hospital sites in standardizing their data for allowing the execution of the project use cases. The experience gained from the evaluation of the EHR4CR platform accessing to semantically equivalent data elements across 11 European participating EHR systems from 5 countries demonstrated how far the mediation model and mapping efforts met the expected requirements of the project. Developers of semantic interoperability platforms are beginning to address a core set of requirements in order to reach the goal of developing cross border semantic integration of data. PMID:27570649

Development and application of a real-time testbed for multiagent system interoperability: A case study on hierarchical microgrid control

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cintuglu, Mehmet Hazar; Youssef, Tarek; Mohammed, Osama A.

This article presents the development and application of a real-time testbed for multiagent system interoperability. As utility independent private microgrids are installed constantly, standardized interoperability frameworks are required to define behavioral models of the individual agents for expandability and plug-and-play operation. In this paper, we propose a comprehensive hybrid agent framework combining the foundation for intelligent physical agents (FIPA), IEC 61850, and data distribution service (DDS) standards. The IEC 61850 logical node concept is extended using FIPA based agent communication language (ACL) with application specific attributes and deliberative behavior modeling capability. The DDS middleware is adopted to enable a real-timemore » publisher-subscriber interoperability mechanism between platforms. The proposed multi-agent framework was validated in a laboratory based testbed involving developed intelligent electronic device (IED) prototypes and actual microgrid setups. Experimental results were demonstrated for both decentralized and distributed control approaches. Secondary and tertiary control levels of a microgrid were demonstrated for decentralized hierarchical control case study. A consensus-based economic dispatch case study was demonstrated as a distributed control example. Finally, it was shown that the developed agent platform is industrially applicable for actual smart grid field deployment.« less

Development and application of a real-time testbed for multiagent system interoperability: A case study on hierarchical microgrid control

DOE PAGES

Cintuglu, Mehmet Hazar; Youssef, Tarek; Mohammed, Osama A.

2016-08-10

This article presents the development and application of a real-time testbed for multiagent system interoperability. As utility independent private microgrids are installed constantly, standardized interoperability frameworks are required to define behavioral models of the individual agents for expandability and plug-and-play operation. In this paper, we propose a comprehensive hybrid agent framework combining the foundation for intelligent physical agents (FIPA), IEC 61850, and data distribution service (DDS) standards. The IEC 61850 logical node concept is extended using FIPA based agent communication language (ACL) with application specific attributes and deliberative behavior modeling capability. The DDS middleware is adopted to enable a real-timemore » publisher-subscriber interoperability mechanism between platforms. The proposed multi-agent framework was validated in a laboratory based testbed involving developed intelligent electronic device (IED) prototypes and actual microgrid setups. Experimental results were demonstrated for both decentralized and distributed control approaches. Secondary and tertiary control levels of a microgrid were demonstrated for decentralized hierarchical control case study. A consensus-based economic dispatch case study was demonstrated as a distributed control example. Finally, it was shown that the developed agent platform is industrially applicable for actual smart grid field deployment.« less

OGC and Grid Interoperability in enviroGRIDS Project

NASA Astrophysics Data System (ADS)

Gorgan, Dorian; Rodila, Denisa; Bacu, Victor; Giuliani, Gregory; Ray, Nicolas

2010-05-01

EnviroGRIDS (Black Sea Catchment Observation and Assessment System supporting Sustainable Development) [1] is a 4-years FP7 Project aiming to address the subjects of ecologically unsustainable development and inadequate resource management. The project develops a Spatial Data Infrastructure of the Black Sea Catchment region. The geospatial technologies offer very specialized functionality for Earth Science oriented applications as well as the Grid oriented technology that is able to support distributed and parallel processing. One challenge of the enviroGRIDS project is the interoperability between geospatial and Grid infrastructures by providing the basic and the extended features of the both technologies. The geospatial interoperability technology has been promoted as a way of dealing with large volumes of geospatial data in distributed environments through the development of interoperable Web service specifications proposed by the Open Geospatial Consortium (OGC), with applications spread across multiple fields but especially in Earth observation research. Due to the huge volumes of data available in the geospatial domain and the additional introduced issues (data management, secure data transfer, data distribution and data computation), the need for an infrastructure capable to manage all those problems becomes an important aspect. The Grid promotes and facilitates the secure interoperations of geospatial heterogeneous distributed data within a distributed environment, the creation and management of large distributed computational jobs and assures a security level for communication and transfer of messages based on certificates. This presentation analysis and discusses the most significant use cases for enabling the OGC Web services interoperability with the Grid environment and focuses on the description and implementation of the most promising one. In these use cases we give a special attention to issues such as: the relations between computational grid and the OGC Web service protocols, the advantages offered by the Grid technology - such as providing a secure interoperability between the distributed geospatial resource -and the issues introduced by the integration of distributed geospatial data in a secure environment: data and service discovery, management, access and computation. enviroGRIDS project proposes a new architecture which allows a flexible and scalable approach for integrating the geospatial domain represented by the OGC Web services with the Grid domain represented by the gLite middleware. The parallelism offered by the Grid technology is discussed and explored at the data level, management level and computation level. The analysis is carried out for OGC Web service interoperability in general but specific details are emphasized for Web Map Service (WMS), Web Feature Service (WFS), Web Coverage Service (WCS), Web Processing Service (WPS) and Catalog Service for Web (CSW). Issues regarding the mapping and the interoperability between the OGC and the Grid standards and protocols are analyzed as they are the base in solving the communication problems between the two environments: grid and geospatial. The presetation mainly highlights how the Grid environment and Grid applications capabilities can be extended and utilized in geospatial interoperability. Interoperability between geospatial and Grid infrastructures provides features such as the specific geospatial complex functionality and the high power computation and security of the Grid, high spatial model resolution and geographical area covering, flexible combination and interoperability of the geographical models. According with the Service Oriented Architecture concepts and requirements of interoperability between geospatial and Grid infrastructures each of the main functionality is visible from enviroGRIDS Portal and consequently, by the end user applications such as Decision Maker/Citizen oriented Applications. The enviroGRIDS portal is the single way of the user to get into the system and the portal faces a unique style of the graphical user interface. Main reference for further information: [1] enviroGRIDS Project, http://www.envirogrids.net/

Conceptualizing a Genomics Software Institute (GSI)

PubMed Central

Gilbert, Jack A.; Catlett, Charlie; Desai, Narayan; Knight, Rob; White, Owen; Robbins, Robert; Sankaran, Rajesh; Sansone, Susanna-Assunta; Field, Dawn; Meyer, Folker

2012-01-01

Microbial ecology has been enhanced greatly by the ongoing ‘omics revolution, bringing half the world's biomass and most of its biodiversity into analytical view for the first time; indeed, it feels almost like the invention of the microscope and the discovery of the new world at the same time. With major microbial ecology research efforts accumulating prodigious quantities of sequence, protein, and metabolite data, we are now poised to address environmental microbial research at macro scales, and to begin to characterize and understand the dimensions of microbial biodiversity on the planet. What is currently impeding progress is the need for a framework within which the research community can develop, exchange and discuss predictive ecosystem models that describe the biodiversity and functional interactions. Such a framework must encompass data and metadata transparency and interoperation; data and results validation, curation, and search; application programming interfaces for modeling and analysis tools; and human and technical processes and services necessary to ensure broad adoption. Here we discuss the need for focused community interaction to augment and deepen established community efforts, beginning with the Genomic Standards Consortium (GSC), to create a science-driven strategic plan for a Genomic Software Institute (GSI). PMID:22675605

Nanopublications for exposing experimental data in the life-sciences: a Huntington's Disease case study.

PubMed

Mina, Eleni; Thompson, Mark; Kaliyaperumal, Rajaram; Zhao, Jun; der Horst, van Eelke; Tatum, Zuotian; Hettne, Kristina M; Schultes, Erik A; Mons, Barend; Roos, Marco

2015-01-01

Data from high throughput experiments often produce far more results than can ever appear in the main text or tables of a single research article. In these cases, the majority of new associations are often archived either as supplemental information in an arbitrary format or in publisher-independent databases that can be difficult to find. These data are not only lost from scientific discourse, but are also elusive to automated search, retrieval and processing. Here, we use the nanopublication model to make scientific assertions that were concluded from a workflow analysis of Huntington's Disease data machine-readable, interoperable, and citable. We followed the nanopublication guidelines to semantically model our assertions as well as their provenance metadata and authorship. We demonstrate interoperability by linking nanopublication provenance to the Research Object model. These results indicate that nanopublications can provide an incentive for researchers to expose data that is interoperable and machine-readable for future use and preservation for which they can get credits for their effort. Nanopublications can have a leading role into hypotheses generation offering opportunities to produce large-scale data integration.

Tool and data interoperability in the SSE system

NASA Technical Reports Server (NTRS)

Shotton, Chuck

1988-01-01

Information is given in viewgraph form on tool and data interoperability in the Software Support Environment (SSE). Information is given on industry problems, SSE system interoperability issues, SSE solutions to tool and data interoperability, and attainment of heterogeneous tool/data interoperability.

UHF (Ultra High Frequency) Military Satellite Communications Ground Equipment Interoperability.

DTIC Science & Technology

1986-10-06

crisis management requires interoperability between various services. These short-term crises often arise from unforeseen circumstances in which...Scheduler Qualcomm has prepared an interoperability study for the JTC3A (Reference 15) as a TA/CE for USCINCLANT ROC 5-84 requirements. It has defined a...interoperability is fundamental. A number of operational crises have occurred where interoperable communications or the lack of interoperable

Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in The Supply Chain Using Model-Based Definition.

PubMed

Trainer, Asa; Hedberg, Thomas; Feeney, Allison Barnard; Fischer, Kevin; Rosche, Phil

2016-01-01

Advances in information technology triggered a digital revolution that holds promise of reduced costs, improved productivity, and higher quality. To ride this wave of innovation, manufacturing enterprises are changing how product definitions are communicated - from paper to models. To achieve industry's vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-based data interoperability from design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the original equipment manufacturer (OEM) using Computer-Aided Design (CAD) tools. This information is then shared with the supplier so that they can manufacture and inspect the physical parts. Today, suppliers predominantly use Computer-Aided Manufacturing (CAM) and Coordinate Measuring Machine (CMM) models for these tasks. Traditionally, the OEM has provided design data to the supplier in the form of two-dimensional (2D) drawings, but may also include a three-dimensional (3D)-shape-geometry model, often in a standards-based format such as ISO 10303-203:2011 (STEP AP203). The supplier then creates the respective CAM and CMM models and machine programs to produce and inspect the parts. In the MBE vision for model-based data exchange, the CAD model must include product-and-manufacturing information (PMI) in addition to the shape geometry. Today's CAD tools can generate models with embedded PMI. And, with the emergence of STEP AP242, a standards-based model with embedded PMI can now be shared downstream. The on-going research detailed in this paper seeks to investigate three concepts. First, that the ability to utilize a STEP AP242 model with embedded PMI for CAD-to-CAM and CAD-to-CMM data exchange is possible and valuable to the overall goal of a more efficient process. Second, the research identifies gaps in tools, standards, and processes that inhibit industry's ability to cost-effectively achieve model-based-data interoperability in the pursuit of the MBE vision. Finally, it also seeks to explore the interaction between CAD and CMM processes and determine if the concept of feedback from CAM and CMM back to CAD is feasible. The main goal of our study is to test the hypothesis that model-based-data interoperability from CAD-to-CAM and CAD-to-CMM is feasible through standards-based integration. This paper presents several barriers to model-based-data interoperability. Overall, the project team demonstrated the exchange of product definition data between CAD, CAM, and CMM systems using standards-based methods. While gaps in standards coverage were identified, the gaps should not stop industry's progress toward MBE. The results of our study provide evidence in support of an open-standards method to model-based-data interoperability, which would provide maximum value and impact to industry.

Towards technical interoperability in telemedicine.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Craft, Richard Layne, II

2004-05-01

For telemedicine to realize the vision of anywhere, anytime access to care, the question of how to create a fully interoperable technical infrastructure must be addressed. After briefly discussing how 'technical interoperability' compares with other types of interoperability being addressed in the telemedicine community today, this paper describes reasons for pursuing technical interoperability, presents a proposed framework for realizing technical interoperability, identifies key issues that will need to be addressed if technical interoperability is to be achieved, and suggests a course of action that the telemedicine community might follow to accomplish this goal.

The interoperability force in the ERP field

NASA Astrophysics Data System (ADS)

Boza, Andrés; Cuenca, Llanos; Poler, Raúl; Michaelides, Zenon

2015-04-01

Enterprise resource planning (ERP) systems participate in interoperability projects and this participation sometimes leads to new proposals for the ERP field. The aim of this paper is to identify the role that interoperability plays in the evolution of ERP systems. To go about this, ERP systems have been first identified within interoperability frameworks. Second, the initiatives in the ERP field driven by interoperability requirements have been identified from two perspectives: technological and business. The ERP field is evolving from classical ERP as information system integrators to a new generation of fully interoperable ERP. Interoperability is changing the way of running business, and ERP systems are changing to adapt to the current stream of interoperability.

Improving the Interoperability of Disaster Models: a Case Study of Proposing Fireml for Forest Fire Model

NASA Astrophysics Data System (ADS)

Jiang, W.; Wang, F.; Meng, Q.; Li, Z.; Liu, B.; Zheng, X.

2018-04-01

This paper presents a new standardized data format named Fire Markup Language (FireML), extended by the Geography Markup Language (GML) of OGC, to elaborate upon the fire hazard model. The proposed FireML is able to standardize the input and output documents of a fire model for effectively communicating with different disaster management systems to ensure a good interoperability. To demonstrate the usage of FireML and testify its feasibility, an adopted forest fire spread model being compatible with FireML is described. And a 3DGIS disaster management system is developed to simulate the dynamic procedure of forest fire spread with the defined FireML documents. The proposed approach will enlighten ones who work on other disaster models' standardization work.

Facilitating the openEHR approach - organizational structures for defining high-quality archetypes.

PubMed

Kohl, Christian Dominik; Garde, Sebastian; Knaup, Petra

2008-01-01

Using openEHR archetypes to establish an electronic patient record promises rapid development and system interoperability by using or adopting existing archetypes. However, internationally accepted, high quality archetypes which enable a comprehensive semantic interoperability require adequate development and maintenance processes. Therefore, structures have to be created involving different health professions. In the following we present a model which facilitates and governs distributed but cooperative development and adoption of archetypes by different professionals including peer reviews. Our model consists of a hierarchical structure of professional committees and descriptions of the archetype development process considering these different committees.

Application of Coalition Battle Management Language (C-BML) and C-BML Services to Live, Virtual, and Constructive (LVC) Simulation Environments

DTIC Science & Technology

2011-12-01

Task Based Approach to Planning.” Paper 08F- SIW -033. In Proceed- ings of the Fall Simulation Interoperability Workshop. Simulation Interoperability...Paper 06F- SIW -003. In Proceed- 2597 Blais ings of the Fall Simulation Interoperability Workshop. Simulation Interoperability Standards Organi...MSDL).” Paper 10S- SIW -003. In Proceedings of the Spring Simulation Interoperability Workshop. Simulation Interoperability Standards Organization

The Osseus platform: a prototype for advanced web-based distributed simulation

NASA Astrophysics Data System (ADS)

Franceschini, Derrick; Riecken, Mark

2016-05-01

Recent technological advances in web-based distributed computing and database technology have made possible a deeper and more transparent integration of some modeling and simulation applications. Despite these advances towards true integration of capabilities, disparate systems, architectures, and protocols will remain in the inventory for some time to come. These disparities present interoperability challenges for distributed modeling and simulation whether the application is training, experimentation, or analysis. Traditional approaches call for building gateways to bridge between disparate protocols and retaining interoperability specialists. Challenges in reconciling data models also persist. These challenges and their traditional mitigation approaches directly contribute to higher costs, schedule delays, and frustration for the end users. Osseus is a prototype software platform originally funded as a research project by the Defense Modeling & Simulation Coordination Office (DMSCO) to examine interoperability alternatives using modern, web-based technology and taking inspiration from the commercial sector. Osseus provides tools and services for nonexpert users to connect simulations, targeting the time and skillset needed to successfully connect disparate systems. The Osseus platform presents a web services interface to allow simulation applications to exchange data using modern techniques efficiently over Local or Wide Area Networks. Further, it provides Service Oriented Architecture capabilities such that finer granularity components such as individual models can contribute to simulation with minimal effort.

Enabling Interoperability - Supporting a Diversity of Search Paradigms Using Shared Ontologies and Federated Registries

NASA Astrophysics Data System (ADS)

Hughes, J. S.; Crichton, D. J.; Hardman, S. H.; Mattman, C. A.; Ramirez, P. M.

2009-12-01

Experience suggests that no single search paradigm will meet all of a community’s search requirements. Traditional forms based search is still considered critical by a significant percentage of most science communities. However text base and facet based search are improving the community’s perception that search can be easy and that the data is available and can be located. Finally semantic search promises ways to find data that were not conceived when the metadata was first captured and organized. This situation suggests that successful science information systems must be able to deploy new search applications quickly, efficiently, and often for ad-hoc purposes. Federated registries allow data to be packaged or associated with their metadata and managed as simple registry objects. Standard reference models for federated registries now exist that ensure registry objects are uniquely identified at registration and that versioning, classification, and cataloging are addressed automatically. Distributed but locally governed, federated registries also provide notification of registry events and federated query, linking, and replication of registry objects. Key principles for shared ontology development in the space sciences are that the ontology remains independent of its implementation and be extensible, flexible and scalable. The dichotomy between digital things and physical/conceptual things in the domain need to be unified under a standard model, such as the Open Archive Information System (OAIS) Information Object. Finally the fact must be accepted that ontology development is a difficult task that requires time, patience and experts in both the science domain and information modeling. The Planetary Data System (PDS) has adopted this architecture for it next generation information system, PDS 2010. The authors will report on progress, briefly describe key elements, and illustrate how the new system will be phased into operations to handle both legacy and new science data. In particular the shared ontology is being used to drive system implementation through the generation of standards documents and software configuration files. The resulting information system will help meet the expectations of modern scientists by providing more of the information interconnectedness, correlative science, and system interoperability that they desire. Fig.1 - Data Driven Architecture

Categorization in the wild.

PubMed

Glushko, Robert J; Maglio, Paul P; Matlock, Teenie; Barsalou, Lawrence W

2008-04-01

In studying categorization, cognitive science has focused primarily on cultural categorization, ignoring individual and institutional categorization. Because recent technological developments have made individual and institutional classification systems much more available and powerful, our understanding of the cognitive and social mechanisms that produce these systems is increasingly important. Furthermore, key aspects of categorization that have received little previous attention emerge from considering diverse types of categorization together, such as the social factors that create stability in classification systems, and the interoperability that shared conceptual systems establish between agents. Finally, the profound impact of recent technological developments on classification systems indicates that basic categorization mechanisms are highly adaptive, producing new classification systems as the situations in which they operate change.

Space-Based Information Infrastructure Architecture for Broadband Services

NASA Technical Reports Server (NTRS)

Price, Kent M.; Inukai, Tom; Razdan, Rajendev; Lazeav, Yvonne M.

1996-01-01

This study addressed four tasks: (1) identify satellite-addressable information infrastructure markets; (2) perform network analysis for space-based information infrastructure; (3) develop conceptual architectures; and (4) economic assessment of architectures. The report concludes that satellites will have a major role in the national and global information infrastructure, requiring seamless integration between terrestrial and satellite networks. The proposed LEO, MEO, and GEO satellite systems have satellite characteristics that vary widely. They include delay, delay variations, poorer link quality and beam/satellite handover. The barriers against seamless interoperability between satellite and terrestrial networks are discussed. These barriers are the lack of compatible parameters, standards and protocols, which are presently being evaluated and reduced.

[Framework for the strengthening of health information systems in Peru].

PubMed

Curioso, Walter H; Espinoza-Portilla, Elizabeth

2015-01-01

In this article we present the essential components and policies that are most relevant regarding the conceptual framework to strengthen the health information systems in Peru. The article also presents the main policies, actions and strategies made in the field of electronic health in Peru that are most significant. The health information systems in Peru play a key role and are expected to achieve an integrated and interoperable information system. This will allow health information to be complete, efficient, of good quality and available in a timely manner to achieve better quality of life for people and allow meaningful modernization of public health in the context of health reform in Peru.

Development of multi-mission satellite data systems at the German Remote Sensing Data Centre

NASA Astrophysics Data System (ADS)

Lotz-Iwen, H. J.; Markwitz, W.; Schreier, G.

1998-11-01

This paper focuses on conceptual aspects of the access to multi-mission remote sensing data by online catalogue and information systems. The system ISIS of the German Remote Sensing Data Centre is described as an example of a user interface to earth observation data. ISIS has been designed to support international scientific research as well as operational applications by offering online access to the database via public networks. It provides catalogue retrieval, visualisation and transfer of image data, and is integrated in international activities dedicated to catalogue and archive interoperability. Finally, an outlook is given on international projects dealing with access to remote sensing data in distributed archives.

Latest developments for the IAGOS database: Interoperability and metadata

NASA Astrophysics Data System (ADS)

Boulanger, Damien; Gautron, Benoit; Thouret, Valérie; Schultz, Martin; van Velthoven, Peter; Broetz, Bjoern; Rauthe-Schöch, Armin; Brissebrat, Guillaume

2014-05-01

In-service Aircraft for a Global Observing System (IAGOS, http://www.iagos.org) aims at the provision of long-term, frequent, regular, accurate, and spatially resolved in situ observations of the atmospheric composition. IAGOS observation systems are deployed on a fleet of commercial aircraft. The IAGOS database is an essential part of the global atmospheric monitoring network. Data access is handled by open access policy based on the submission of research requests which are reviewed by the PIs. Users can access the data through the following web sites: http://www.iagos.fr or http://www.pole-ether.fr as the IAGOS database is part of the French atmospheric chemistry data centre ETHER (CNES and CNRS). The database is in continuous development and improvement. In the framework of the IGAS project (IAGOS for GMES/COPERNICUS Atmospheric Service), major achievements will be reached, such as metadata and format standardisation in order to interoperate with international portals and other databases, QA/QC procedures and traceability, CARIBIC (Civil Aircraft for the Regular Investigation of the Atmosphere Based on an Instrument Container) data integration within the central database, and the real-time data transmission. IGAS work package 2 aims at providing the IAGOS data to users in a standardized format including the necessary metadata and information on data processing, data quality and uncertainties. We are currently redefining and standardizing the IAGOS metadata for interoperable use within GMES/Copernicus. The metadata are compliant with the ISO 19115, INSPIRE and NetCDF-CF conventions. IAGOS data will be provided to users in NetCDF or NASA Ames format. We also are implementing interoperability between all the involved IAGOS data services, including the central IAGOS database, the former MOZAIC and CARIBIC databases, Aircraft Research DLR database and the Jülich WCS web application JOIN (Jülich OWS Interface) which combines model outputs with in situ data for intercomparison. The optimal data transfer protocol is being investigated to insure the interoperability. To facilitate satellite and model validation, tools will be made available for co-location and comparison with IAGOS. We will enhance the JOIN application in order to properly display aircraft data as vertical profiles and along individual flight tracks and to allow for graphical comparison to model results that are accessible through interoperable web services, such as the daily products from the GMES/Copernicus atmospheric service.

Bridging data models and terminologies to support adverse drug event reporting using EHR data.

PubMed

Declerck, G; Hussain, S; Daniel, C; Yuksel, M; Laleci, G B; Twagirumukiza, M; Jaulent, M-C

2015-01-01

This article is part of the Focus Theme of METHODs of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". SALUS project aims at building an interoperability platform and a dedicated toolkit to enable secondary use of electronic health records (EHR) data for post marketing drug surveillance. An important component of this toolkit is a drug-related adverse events (AE) reporting system designed to facilitate and accelerate the reporting process using automatic prepopulation mechanisms. To demonstrate SALUS approach for establishing syntactic and semantic interoperability for AE reporting. Standard (e.g. HL7 CDA-CCD) and proprietary EHR data models are mapped to the E2B(R2) data model via SALUS Common Information Model. Terminology mapping and terminology reasoning services are designed to ensure the automatic conversion of source EHR terminologies (e.g. ICD-9-CM, ICD-10, LOINC or SNOMED-CT) to the target terminology MedDRA which is expected in AE reporting forms. A validated set of terminology mappings is used to ensure the reliability of the reasoning mechanisms. The percentage of data elements of a standard E2B report that can be completed automatically has been estimated for two pilot sites. In the best scenario (i.e. the available fields in the EHR have actually been filled), only 36% (pilot site 1) and 38% (pilot site 2) of E2B data elements remain to be filled manually. In addition, most of these data elements shall not be filled in each report. SALUS platform's interoperability solutions enable partial automation of the AE reporting process, which could contribute to improve current spontaneous reporting practices and reduce under-reporting, which is currently one major obstacle in the process of acquisition of pharmacovigilance data.

Computational toxicology using the OpenTox application programming interface and Bioclipse

PubMed Central

2011-01-01

Background Toxicity is a complex phenomenon involving the potential adverse effect on a range of biological functions. Predicting toxicity involves using a combination of experimental data (endpoints) and computational methods to generate a set of predictive models. Such models rely strongly on being able to integrate information from many sources. The required integration of biological and chemical information sources requires, however, a common language to express our knowledge ontologically, and interoperating services to build reliable predictive toxicology applications. Findings This article describes progress in extending the integrative bio- and cheminformatics platform Bioclipse to interoperate with OpenTox, a semantic web framework which supports open data exchange and toxicology model building. The Bioclipse workbench environment enables functionality from OpenTox web services and easy access to OpenTox resources for evaluating toxicity properties of query molecules. Relevant cases and interfaces based on ten neurotoxins are described to demonstrate the capabilities provided to the user. The integration takes advantage of semantic web technologies, thereby providing an open and simplifying communication standard. Additionally, the use of ontologies ensures proper interoperation and reliable integration of toxicity information from both experimental and computational sources. Conclusions A novel computational toxicity assessment platform was generated from integration of two open science platforms related to toxicology: Bioclipse, that combines a rich scriptable and graphical workbench environment for integration of diverse sets of information sources, and OpenTox, a platform for interoperable toxicology data and computational services. The combination provides improved reliability and operability for handling large data sets by the use of the Open Standards from the OpenTox Application Programming Interface. This enables simultaneous access to a variety of distributed predictive toxicology databases, and algorithm and model resources, taking advantage of the Bioclipse workbench handling the technical layers. PMID:22075173

Transforming Collaborative Process Models into Interface Process Models by Applying an MDA Approach

NASA Astrophysics Data System (ADS)

Lazarte, Ivanna M.; Chiotti, Omar; Villarreal, Pablo D.

Collaborative business models among enterprises require defining collaborative business processes. Enterprises implement B2B collaborations to execute these processes. In B2B collaborations the integration and interoperability of processes and systems of the enterprises are required to support the execution of collaborative processes. From a collaborative process model, which describes the global view of the enterprise interactions, each enterprise must define the interface process that represents the role it performs in the collaborative process in order to implement the process in a Business Process Management System. Hence, in this work we propose a method for the automatic generation of the interface process model of each enterprise from a collaborative process model. This method is based on a Model-Driven Architecture to transform collaborative process models into interface process models. By applying this method, interface processes are guaranteed to be interoperable and defined according to a collaborative process.

Applying standards to ICT models, tools and data in Europe to improve river basin networks and spread innovation on water sector

NASA Astrophysics Data System (ADS)

Pesquer, Lluís; Jirka, Simon; van de Giesen, Nick; Masó, Joan; Stasch, Christoph; Van Nooyen, Ronald; Prat, Ester; Pons, Xavier

2015-04-01

This work describes the strategy of the European Horizon 2020 project WaterInnEU. Its vision is to enhance the exploitation of EU funded ICT models, tools, protocols and policy briefs related to the water sector and to establish suitable conditions for new market opportunities based on these offerings. The main goals are: • Connect the research results and developments of previous EU funded activities with the already existing data available on European level and also with to the companies that are able to offer products and services based on these tools and data. • Offer an independent marketplace platform complemented by technical and commercial expertise as a service for users to allow the access to products and services best fitting their priorities, capabilities and procurement processes. One of the pillars of WaterInnEU is to stimulate and prioritize the application of international standards into ICT tools and policy briefs. The standardization of formats, services and processes will allow for a harmonized water management between different sectors, fragmented areas and scales (local, regional or international) approaches. Several levels of interoperability will be addressed: • Syntactic: Connecting system and tools together: Syntactic interoperability allows for client and service tools to automatically discover, access, and process data and information (query and exchange parts of a database) and to connect each other in process chains. The discovery of water related data is achieved using metadata cataloguing standards and, in particular, the one adopted by the INSPIRE directive: OGC Catalogue Service for the Web (CSW). • Semantic: Sharing a pan-European conceptual framework This is the ability of computer systems to exchange data with unambiguous, shared meaning. The project therefore addresses not only the packaging of data (syntax), but also the simultaneous transmission of the meaning with the data (semantics). This is accomplished by linking each data element to a controlled, shared vocabulary. In Europe, INSPIRE defines a shared vocabulary and its associated links to an ontology. For hydrographical information this can be used as a baseline. • Organizational: Harmonizing policy aspects This level of interoperability deals with operational methodologies and procedures that organizations use to administrate their own data and processing capabilities and to share those capabilities with others. This layer is addressed by the adoption of common policy briefs that facilitate both robust protocols and flexibility to interact with others. • Data visualization: Making data easy to see The WMS and WMTS standards are the most commonly used geographic information visualization standards for sharing information in web portals. Our solution will incorporate a quality extension of these standards for visualizing data quality as nested layers linked to the different data sets. In the presented approach, the use of standards can be seen twofold: the tools and products should leverage standards wherever possible to ensure interoperability between solution providers, and the platform itself must utilize standards as much as possible, to allow for example the integration with other systems through open APIs or the description of available items.

Application-Level Interoperability Across Grids and Clouds

NASA Astrophysics Data System (ADS)

Jha, Shantenu; Luckow, Andre; Merzky, Andre; Erdely, Miklos; Sehgal, Saurabh

Application-level interoperability is defined as the ability of an application to utilize multiple distributed heterogeneous resources. Such interoperability is becoming increasingly important with increasing volumes of data, multiple sources of data as well as resource types. The primary aim of this chapter is to understand different ways in which application-level interoperability can be provided across distributed infrastructure. We achieve this by (i) using the canonical wordcount application, based on an enhanced version of MapReduce that scales-out across clusters, clouds, and HPC resources, (ii) establishing how SAGA enables the execution of wordcount application using MapReduce and other programming models such as Sphere concurrently, and (iii) demonstrating the scale-out of ensemble-based biomolecular simulations across multiple resources. We show user-level control of the relative placement of compute and data and also provide simple performance measures and analysis of SAGA-MapReduce when using multiple, different, heterogeneous infrastructures concurrently for the same problem instance. Finally, we discuss Azure and some of the system-level abstractions that it provides and show how it is used to support ensemble-based biomolecular simulations.

Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents.

PubMed

Topaz, M; Seger, D L; Goss, F; Lai, K; Slight, S P; Lau, J J; Nandigam, H; Zhou, L

2016-01-01

Adverse sensitivity (e.g., allergy and intolerance) information is a critical component of any electronic health record system. While several standards exist for structured entry of adverse sensitivity information, many clinicians record this data as free text. This study aimed to 1) identify and compare the existing common adverse sensitivity information models, and 2) to evaluate the coverage of the adverse sensitivity information models for representing allergy information on a subset of inpatient and outpatient adverse sensitivity clinical notes. We compared four common adverse sensitivity information models: Health Level 7 Allergy and Intolerance Domain Analysis Model, HL7-DAM; the Fast Healthcare Interoperability Resources, FHIR; the Consolidated Continuity of Care Document, C-CDA; and OpenEHR, and evaluated their coverage on a corpus of inpatient and outpatient notes (n = 120). We found that allergy specialists' notes had the highest frequency of adverse sensitivity attributes per note, whereas emergency department notes had the fewest attributes. Overall, the models had many similarities in the central attributes which covered between 75% and 95% of adverse sensitivity information contained within the notes. However, representations of some attributes (especially the value-sets) were not well aligned between the models, which is likely to present an obstacle for achieving data interoperability. Also, adverse sensitivity exceptions were not well represented among the information models. Although we found that common adverse sensitivity models cover a significant portion of relevant information in the clinical notes, our results highlight areas needed to be reconciled between the standards for data interoperability.

Common Data Model for Neuroscience Data and Data Model Exchange

PubMed Central

Gardner, Daniel; Knuth, Kevin H.; Abato, Michael; Erde, Steven M.; White, Thomas; DeBellis, Robert; Gardner, Esther P.

2001-01-01

Objective: Generalizing the data models underlying two prototype neurophysiology databases, the authors describe and propose the Common Data Model (CDM) as a framework for federating a broad spectrum of disparate neuroscience information resources. Design: Each component of the CDM derives from one of five superclasses—data, site, method, model, and reference—or from relations defined between them. A hierarchic attribute-value scheme for metadata enables interoperability with variable tree depth to serve specific intra- or broad inter-domain queries. To mediate data exchange between disparate systems, the authors propose a set of XML-derived schema for describing not only data sets but data models. These include biophysical description markup language (BDML), which mediates interoperability between data resources by providing a meta-description for the CDM. Results: The set of superclasses potentially spans data needs of contemporary neuroscience. Data elements abstracted from neurophysiology time series and histogram data represent data sets that differ in dimension and concordance. Site elements transcend neurons to describe subcellular compartments, circuits, regions, or slices; non-neuroanatomic sites include sequences to patients. Methods and models are highly domain-dependent. Conclusions: True federation of data resources requires explicit public description, in a metalanguage, of the contents, query methods, data formats, and data models of each data resource. Any data model that can be derived from the defined superclasses is potentially conformant and interoperability can be enabled by recognition of BDML-described compatibilities. Such metadescriptions can buffer technologic changes. PMID:11141510

Watershed and Economic Data InterOperability (WEDO) System

EPA Science Inventory

Hydrologic modeling is essential for environmental, economic, and human health decision-making. However, sharing of modeling studies is limited within the watershed modeling community. Distribution of hydrologic modeling research typically involves publishing summarized data in p...

Watershed and Economic Data InterOperability (WEDO) System (presentation)

EPA Science Inventory

Hydrologic modeling is essential for environmental, economic, and human health decision- making. However, sharing of modeling studies is limited within the watershed modeling community. Distribution of hydrologic modeling research typically involves publishing summarized data in ...

Enhanced semantic interoperability by profiling health informatics standards.

PubMed

López, Diego M; Blobel, Bernd

2009-01-01

Several standards applied to the healthcare domain support semantic interoperability. These standards are far from being completely adopted in health information system development, however. The objective of this paper is to provide a method and suggest the necessary tooling for reusing standard health information models, by that way supporting the development of semantically interoperable systems and components. The approach is based on the definition of UML Profiles. UML profiling is a formal modeling mechanism to specialize reference meta-models in such a way that it is possible to adapt those meta-models to specific platforms or domains. A health information model can be considered as such a meta-model. The first step of the introduced method identifies the standard health information models and tasks in the software development process in which healthcare information models can be reused. Then, the selected information model is formalized as a UML Profile. That Profile is finally applied to system models, annotating them with the semantics of the information model. The approach is supported on Eclipse-based UML modeling tools. The method is integrated into a comprehensive framework for health information systems development, and the feasibility of the approach is demonstrated in the analysis, design, and implementation of a public health surveillance system, reusing HL7 RIM and DIMs specifications. The paper describes a method and the necessary tooling for reusing standard healthcare information models. UML offers several advantages such as tooling support, graphical notation, exchangeability, extensibility, semi-automatic code generation, etc. The approach presented is also applicable for harmonizing different standard specifications.

The impact of interoperability of electronic health records on ambulatory physician practices: a discrete-event simulation study.

PubMed

Zhou, Yuan; Ancker, Jessica S; Upadhye, Mandar; McGeorge, Nicolette M; Guarrera, Theresa K; Hegde, Sudeep; Crane, Peter W; Fairbanks, Rollin J; Bisantz, Ann M; Kaushal, Rainu; Lin, Li

2013-01-01

The effect of health information technology (HIT) on efficiency and workload among clinical and nonclinical staff has been debated, with conflicting evidence about whether electronic health records (EHRs) increase or decrease effort. None of this paper to date, however, examines the effect of interoperability quantitatively using discrete event simulation techniques. To estimate the impact of EHR systems with various levels of interoperability on day-to-day tasks and operations of ambulatory physician offices. Interviews and observations were used to collect workflow data from 12 adult primary and specialty practices. A discrete event simulation model was constructed to represent patient flows and clinical and administrative tasks of physicians and staff members. High levels of EHR interoperability were associated with reduced time spent by providers on four tasks: preparing lab reports, requesting lab orders, prescribing medications, and writing referrals. The implementation of an EHR was associated with less time spent by administrators but more time spent by physicians, compared with time spent at paper-based practices. In addition, the presence of EHRs and of interoperability did not significantly affect the time usage of registered nurses or the total visit time and waiting time of patients. This paper suggests that the impact of using HIT on clinical and nonclinical staff work efficiency varies, however, overall it appears to improve time efficiency more for administrators than for physicians and nurses.

A generic architecture for an adaptive, interoperable and intelligent type 2 diabetes mellitus care system.

PubMed

Uribe, Gustavo A; Blobel, Bernd; López, Diego M; Schulz, Stefan

2015-01-01

Chronic diseases such as Type 2 Diabetes Mellitus (T2DM) constitute a big burden to the global health economy. T2DM Care Management requires a multi-disciplinary and multi-organizational approach. Because of different languages and terminologies, education, experiences, skills, etc., such an approach establishes a special interoperability challenge. The solution is a flexible, scalable, business-controlled, adaptive, knowledge-based, intelligent system following a systems-oriented, architecture-centric, ontology-based and policy-driven approach. The architecture of real systems is described, using the basics and principles of the Generic Component Model (GCM). For representing the functional aspects of a system the Business Process Modeling Notation (BPMN) is used. The system architecture obtained is presented using a GCM graphical notation, class diagrams and BPMN diagrams. The architecture-centric approach considers the compositional nature of the real world system and its functionalities, guarantees coherence, and provides right inferences. The level of generality provided in this paper facilitates use case specific adaptations of the system. By that way, intelligent, adaptive and interoperable T2DM care systems can be derived from the presented model as presented in another publication.

Extending the GI Brokering Suite to Support New Interoperability Specifications

NASA Astrophysics Data System (ADS)

Boldrini, E.; Papeschi, F.; Santoro, M.; Nativi, S.

2014-12-01

The GI brokering suite provides the discovery, access, and semantic Brokers (i.e. GI-cat, GI-axe, GI-sem) that empower a Brokering framework for multi-disciplinary and multi-organizational interoperability. GI suite has been successfully deployed in the framework of several programmes and initiatives, such as European Union funded projects, NSF BCube, and the intergovernmental coordinated effort Global Earth Observation System of Systems (GEOSS). Each GI suite Broker facilitates interoperability for a particular functionality (i.e. discovery, access, semantic extension) among a set of brokered resources published by autonomous providers (e.g. data repositories, web services, semantic assets) and a set of heterogeneous consumers (e.g. client applications, portals, apps). A wide set of data models, encoding formats, and service protocols are already supported by the GI suite, such as the ones defined by international standardizing organizations like OGC and ISO (e.g. WxS, CSW, SWE, GML, netCDF) and by Community specifications (e.g. THREDDS, OpenSearch, OPeNDAP, ESRI APIs). Using GI suite, resources published by a particular Community or organization through their specific technology (e.g. OPeNDAP/netCDF) can be transparently discovered, accessed, and used by different Communities utilizing their preferred tools (e.g. a GIS visualizing WMS layers). Since Information Technology is a moving target, new standards and technologies continuously emerge and are adopted in the Earth Science context too. Therefore, GI Brokering suite was conceived to be flexible and accommodate new interoperability protocols and data models. For example, GI suite has recently added support to well-used specifications, introduced to implement Linked data, Semantic Web and precise community needs. Amongst the others, they included: DCAT: a RDF vocabulary designed to facilitate interoperability between Web data catalogs. CKAN: a data management system for data distribution, particularly used by public administrations. CERIF: used by CRIS (Current Research Information System) instances. HYRAX Server: a scientific dataset publishing component. This presentation will discuss these and other latest GI suite extensions implemented to support new interoperability protocols in use by the Earth Science Communities.

Gaps Analysis of Integrating Product Design, Manufacturing, and Quality Data in The Supply Chain Using Model-Based Definition

PubMed Central

Trainer, Asa; Hedberg, Thomas; Feeney, Allison Barnard; Fischer, Kevin; Rosche, Phil

2017-01-01

Advances in information technology triggered a digital revolution that holds promise of reduced costs, improved productivity, and higher quality. To ride this wave of innovation, manufacturing enterprises are changing how product definitions are communicated – from paper to models. To achieve industry's vision of the Model-Based Enterprise (MBE), the MBE strategy must include model-based data interoperability from design to manufacturing and quality in the supply chain. The Model-Based Definition (MBD) is created by the original equipment manufacturer (OEM) using Computer-Aided Design (CAD) tools. This information is then shared with the supplier so that they can manufacture and inspect the physical parts. Today, suppliers predominantly use Computer-Aided Manufacturing (CAM) and Coordinate Measuring Machine (CMM) models for these tasks. Traditionally, the OEM has provided design data to the supplier in the form of two-dimensional (2D) drawings, but may also include a three-dimensional (3D)-shape-geometry model, often in a standards-based format such as ISO 10303-203:2011 (STEP AP203). The supplier then creates the respective CAM and CMM models and machine programs to produce and inspect the parts. In the MBE vision for model-based data exchange, the CAD model must include product-and-manufacturing information (PMI) in addition to the shape geometry. Today's CAD tools can generate models with embedded PMI. And, with the emergence of STEP AP242, a standards-based model with embedded PMI can now be shared downstream. The on-going research detailed in this paper seeks to investigate three concepts. First, that the ability to utilize a STEP AP242 model with embedded PMI for CAD-to-CAM and CAD-to-CMM data exchange is possible and valuable to the overall goal of a more efficient process. Second, the research identifies gaps in tools, standards, and processes that inhibit industry's ability to cost-effectively achieve model-based-data interoperability in the pursuit of the MBE vision. Finally, it also seeks to explore the interaction between CAD and CMM processes and determine if the concept of feedback from CAM and CMM back to CAD is feasible. The main goal of our study is to test the hypothesis that model-based-data interoperability from CAD-to-CAM and CAD-to-CMM is feasible through standards-based integration. This paper presents several barriers to model-based-data interoperability. Overall, the project team demonstrated the exchange of product definition data between CAD, CAM, and CMM systems using standards-based methods. While gaps in standards coverage were identified, the gaps should not stop industry's progress toward MBE. The results of our study provide evidence in support of an open-standards method to model-based-data interoperability, which would provide maximum value and impact to industry. PMID:28691120

Interoperability and models for exchange of data between information systems in public administration

NASA Astrophysics Data System (ADS)

Glavev, Victor

2016-12-01

The types of software applications used by public administrations can be divided in three main groups: document management systems, record management systems and business process systems. Each one of them generates outputs that can be used as input data to the others. This is the main reason that requires exchange of data between these three groups and well defined models that should be followed. There are also many other reasons that will be discussed in the paper. Interoperability is a key aspect when those models are implemented, especially when there are different manufactures of systems in the area of software applications used by public authorities. The report includes examples of implementation of models for exchange of data between software systems deployed in one of the biggest administration in Bulgaria.

Trust Model to Enhance Security and Interoperability of Cloud Environment

NASA Astrophysics Data System (ADS)

Li, Wenjuan; Ping, Lingdi

Trust is one of the most important means to improve security and enable interoperability of current heterogeneous independent cloud platforms. This paper first analyzed several trust models used in large and distributed environment and then introduced a novel cloud trust model to solve security issues in cross-clouds environment in which cloud customer can choose different providers' services and resources in heterogeneous domains can cooperate. The model is domain-based. It divides one cloud provider's resource nodes into the same domain and sets trust agent. It distinguishes two different roles cloud customer and cloud server and designs different strategies for them. In our model, trust recommendation is treated as one type of cloud services just like computation or storage. The model achieves both identity authentication and behavior authentication. The results of emulation experiments show that the proposed model can efficiently and safely construct trust relationship in cross-clouds environment.

Designing learning management system interoperability in semantic web

NASA Astrophysics Data System (ADS)

Anistyasari, Y.; Sarno, R.; Rochmawati, N.

2018-01-01

The extensive adoption of learning management system (LMS) has set the focus on the interoperability requirement. Interoperability is the ability of different computer systems, applications or services to communicate, share and exchange data, information, and knowledge in a precise, effective and consistent way. Semantic web technology and the use of ontologies are able to provide the required computational semantics and interoperability for the automation of tasks in LMS. The purpose of this study is to design learning management system interoperability in the semantic web which currently has not been investigated deeply. Moodle is utilized to design the interoperability. Several database tables of Moodle are enhanced and some features are added. The semantic web interoperability is provided by exploited ontology in content materials. The ontology is further utilized as a searching tool to match user’s queries and available courses. It is concluded that LMS interoperability in Semantic Web is possible to be performed.

Medical Device Plug-and-Play Interoperability Standards and Technology Leadership

DTIC Science & Technology

2017-10-01

Award Number: W81XWH-09-1-0705 TITLE: “Medical Device Plug-and-Play Interoperability Standards and Technology Leadership” PRINCIPAL INVESTIGATOR...Sept 2016 – 20 Sept 2017 4. TITLE AND SUBTITLE “Medical Device Plug-and-Play Interoperability 5a. CONTRACT NUMBER Standards and Technology ...efficiency through interoperable medical technologies . We played a leadership role on interoperability safety standards (AAMI, AAMI/UL Joint

USAF Distributed Mission Operations, an ADF Synthetic Range Interoperability Model and an AOD Mission Training Centre Capability Concept Demonstrator - What are They and Why Does the RAAF Need Them

DTIC Science & Technology

2010-10-01

the 2004 Fall Simulation Interoperability Workshop, Orlando, Florida, USA, September 2004, 04F- SIW -090. [Blacklock (2007)] - Blacklock, J. and Zalcman...Valley, CA, USA, March 2009, 09S- SIW -084. [DIS (1995)] - IEEE Standard – Protocols for Distributed Interactive Simulation Application (1995), IEEE...Workshop, Orlando, FL, USA, September 2007, 07F- SIW -111. [Gresche] - Gresche, D. et al, (2006), “International Mission Training Research

Current state of the mass storage system reference model

NASA Technical Reports Server (NTRS)

Coyne, Robert

1993-01-01

IEEE SSSWG was chartered in May 1990 to abstract the hardware and software components of existing and emerging storage systems and to define the software interfaces between these components. The immediate goal is the decomposition of a storage system into interoperable functional modules which vendors can offer as separate commercial products. The ultimate goal is to develop interoperable standards which define the software interfaces, and in the distributed case, the associated protocols to each of the architectural modules in the model. The topics are presented in viewgraph form and include the following: IEEE SSSWG organization; IEEE SSSWG subcommittees & chairs; IEEE standards activity board; layered view of the reference model; layered access to storage services; IEEE SSSWG emphasis; and features for MSSRM version 5.

Enabling communication concurrency through flexible MPI endpoints

DOE PAGES

Dinan, James; Grant, Ryan E.; Balaji, Pavan; ...

2014-09-23

MPI defines a one-to-one relationship between MPI processes and ranks. This model captures many use cases effectively; however, it also limits communication concurrency and interoperability between MPI and programming models that utilize threads. Our paper describes the MPI endpoints extension, which relaxes the longstanding one-to-one relationship between MPI processes and ranks. Using endpoints, an MPI implementation can map separate communication contexts to threads, allowing them to drive communication independently. Also, endpoints enable threads to be addressable in MPI operations, enhancing interoperability between MPI and other programming models. Furthermore, these characteristics are illustrated through several examples and an empirical study thatmore » contrasts current multithreaded communication performance with the need for high degrees of communication concurrency to achieve peak communication performance.« less

Enabling communication concurrency through flexible MPI endpoints

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dinan, James; Grant, Ryan E.; Balaji, Pavan

MPI defines a one-to-one relationship between MPI processes and ranks. This model captures many use cases effectively; however, it also limits communication concurrency and interoperability between MPI and programming models that utilize threads. Our paper describes the MPI endpoints extension, which relaxes the longstanding one-to-one relationship between MPI processes and ranks. Using endpoints, an MPI implementation can map separate communication contexts to threads, allowing them to drive communication independently. Also, endpoints enable threads to be addressable in MPI operations, enhancing interoperability between MPI and other programming models. Furthermore, these characteristics are illustrated through several examples and an empirical study thatmore » contrasts current multithreaded communication performance with the need for high degrees of communication concurrency to achieve peak communication performance.« less

Enabling communication concurrency through flexible MPI endpoints

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dinan, James; Grant, Ryan E.; Balaji, Pavan

MPI defines a one-to-one relationship between MPI processes and ranks. This model captures many use cases effectively; however, it also limits communication concurrency and interoperability between MPI and programming models that utilize threads. This paper describes the MPI endpoints extension, which relaxes the longstanding one-to-one relationship between MPI processes and ranks. Using endpoints, an MPI implementation can map separate communication contexts to threads, allowing them to drive communication independently. Endpoints also enable threads to be addressable in MPI operations, enhancing interoperability between MPI and other programming models. These characteristics are illustrated through several examples and an empirical study that contrastsmore » current multithreaded communication performance with the need for high degrees of communication concurrency to achieve peak communication performance.« less

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chao, Tian-Jy; Kim, Younghun

An end-to-end interoperability and workflows from building architecture design to one or more simulations, in one aspect, may comprise establishing a BIM enablement platform architecture. A data model defines data entities and entity relationships for enabling the interoperability and workflows. A data definition language may be implemented that defines and creates a table schema of a database associated with the data model. Data management services and/or application programming interfaces may be implemented for interacting with the data model. Web services may also be provided for interacting with the data model via the Web. A user interface may be implemented thatmore » communicates with users and uses the BIM enablement platform architecture, the data model, the data definition language, data management services and application programming interfaces to provide functions to the users to perform work related to building information management.« less

Mechanisms for integration of information models across related domains

NASA Astrophysics Data System (ADS)

Atkinson, Rob

2010-05-01

It is well recognised that there are opportunities and challenges in cross-disciplinary data integration. A significant barrier, however, is creating a conceptual model of the combined domains and the area of integration. For example, a groundwater domain application may require information from several related domains: geology, hydrology, water policy, etc. Each domain may have its own data holdings and conceptual models, but these will share various common concepts (eg. The concept of an aquifer). These areas of semantic overlap present significant challenges, firstly to choose a single representation (model) of a concept that appears in multiple disparate models,, then to harmonise these other models with the single representation. In addition, models may exist at different levels of abstraction depending on how closely aligned they are with a particular implementation. This makes it hard for modellers in one domain to introduce elements from another domain without either introducing a specific style of implementation, or conversely dealing with a set of abstract patterns that are hard to integrate with existing implementations. Models are easier to integrate if they are broken down into small units, with common concepts implemented using common models from well-known, and predictably managed shared libraries. This vision however requires development of a set of mechanisms (tools and procedures) for implementing and exploiting libraries of model components. These mechanisms need to handle publication, discovery, subscription, versioning and implementation of models in different forms. In this presentation a coherent suite of such mechanisms is proposed, using a scenario based on re-use of geosciences models. This approach forms the basis of a comprehensive strategy to empower domain modellers to create more interoperable systems. The strategy address a range of concerns and practice, and includes methodologies, an accessible toolkit, improvements to available modelling software, a community of practice and design of model registries. These mechanisms have been used to decouple the generation of simplified data products from a data and metadata maintenance environment, where the simplified products conform to implementation styles, and the data maintenance environment is a modular, extensible implementation of a more complete set of related domain models. Another case study is the provisioning of authoritative place names (a gazetteer) from more complex multi-lingual and historical archives of related place name usage.

Multi-model-based interactive authoring environment for creating shareable medical knowledge.

PubMed

Ali, Taqdir; Hussain, Maqbool; Ali Khan, Wajahat; Afzal, Muhammad; Hussain, Jamil; Ali, Rahman; Hassan, Waseem; Jamshed, Arif; Kang, Byeong Ho; Lee, Sungyoung

2017-10-01

Technologically integrated healthcare environments can be realized if physicians are encouraged to use smart systems for the creation and sharing of knowledge used in clinical decision support systems (CDSS). While CDSSs are heading toward smart environments, they lack support for abstraction of technology-oriented knowledge from physicians. Therefore, abstraction in the form of a user-friendly and flexible authoring environment is required in order for physicians to create shareable and interoperable knowledge for CDSS workflows. Our proposed system provides a user-friendly authoring environment to create Arden Syntax MLM (Medical Logic Module) as shareable knowledge rules for intelligent decision-making by CDSS. Existing systems are not physician friendly and lack interoperability and shareability of knowledge. In this paper, we proposed Intelligent-Knowledge Authoring Tool (I-KAT), a knowledge authoring environment that overcomes the above mentioned limitations. Shareability is achieved by creating a knowledge base from MLMs using Arden Syntax. Interoperability is enhanced using standard data models and terminologies. However, creation of shareable and interoperable knowledge using Arden Syntax without abstraction increases complexity, which ultimately makes it difficult for physicians to use the authoring environment. Therefore, physician friendliness is provided by abstraction at the application layer to reduce complexity. This abstraction is regulated by mappings created between legacy system concepts, which are modeled as domain clinical model (DCM) and decision support standards such as virtual medical record (vMR) and Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT). We represent these mappings with a semantic reconciliation model (SRM). The objective of the study is the creation of shareable and interoperable knowledge using a user-friendly and flexible I-KAT. Therefore we evaluated our system using completeness and user satisfaction criteria, which we assessed through the system- and user-centric evaluation processes. For system-centric evaluation, we compared the implementation of clinical information modelling system requirements in our proposed system and in existing systems. The results suggested that 82.05% of the requirements were fully supported, 7.69% were partially supported, and 10.25% were not supported by our system. In the existing systems, 35.89% of requirements were fully supported, 28.20% were partially supported, and 35.89% were not supported. For user-centric evaluation, the assessment criterion was 'ease of use'. Our proposed system showed 15 times better results with respect to MLM creation time than the existing systems. Moreover, on average, the participants made only one error in MLM creation using our proposed system, but 13 errors per MLM using the existing systems. We provide a user-friendly authoring environment for creation of shareable and interoperable knowledge for CDSS to overcome knowledge acquisition complexity. The authoring environment uses state-of-the-art decision support-related clinical standards with increased ease of use. Copyright © 2017 Elsevier B.V. All rights reserved.

Emergence of a Common Modeling Architecture for Earth System Science (Invited)

NASA Astrophysics Data System (ADS)

Deluca, C.

2010-12-01

Common modeling architecture can be viewed as a natural outcome of common modeling infrastructure. The development of model utility and coupling packages (ESMF, MCT, OpenMI, etc.) over the last decade represents the realization of a community vision for common model infrastructure. The adoption of these packages has led to increased technical communication among modeling centers and newly coupled modeling systems. However, adoption has also exposed aspects of interoperability that must be addressed before easy exchange of model components among different groups can be achieved. These aspects include common physical architecture (how a model is divided into components) and model metadata and usage conventions. The National Unified Operational Prediction Capability (NUOPC), an operational weather prediction consortium, is collaborating with weather and climate researchers to define a common model architecture that encompasses these advanced aspects of interoperability and looks to future needs. The nature and structure of the emergent common modeling architecture will be discussed along with its implications for future model development.

Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes

PubMed Central

Sharma, Deepak K.; Solbrig, Harold R.; Prud’hommeaux, Eric; Pathak, Jyotishman; Jiang, Guoqian

2016-01-01

Researchers commonly use a tabular format to describe and represent clinical study data. The lack of standardization of data dictionary’s metadata elements presents challenges for their harmonization for similar studies and impedes interoperability outside the local context. We propose that representing data dictionaries in the form of standardized archetypes can help to overcome this problem. The Archetype Modeling Language (AML) as developed by the Clinical Information Modeling Initiative (CIMI) can serve as a common format for the representation of data dictionary models. We mapped three different data dictionaries (identified from dbGAP, PheKB and TCGA) onto AML archetypes by aligning dictionary variable definitions with the AML archetype elements. The near complete alignment of data dictionaries helped map them into valid AML models that captured all data dictionary model metadata. The outcome of the work would help subject matter experts harmonize data models for quality, semantic interoperability and better downstream data integration. PMID:28269909

Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes.

PubMed

Sharma, Deepak K; Solbrig, Harold R; Prud'hommeaux, Eric; Pathak, Jyotishman; Jiang, Guoqian

2016-01-01

Researchers commonly use a tabular format to describe and represent clinical study data. The lack of standardization of data dictionary's metadata elements presents challenges for their harmonization for similar studies and impedes interoperability outside the local context. We propose that representing data dictionaries in the form of standardized archetypes can help to overcome this problem. The Archetype Modeling Language (AML) as developed by the Clinical Information Modeling Initiative (CIMI) can serve as a common format for the representation of data dictionary models. We mapped three different data dictionaries (identified from dbGAP, PheKB and TCGA) onto AML archetypes by aligning dictionary variable definitions with the AML archetype elements. The near complete alignment of data dictionaries helped map them into valid AML models that captured all data dictionary model metadata. The outcome of the work would help subject matter experts harmonize data models for quality, semantic interoperability and better downstream data integration.

Model for Semantically Rich Point Cloud Data

NASA Astrophysics Data System (ADS)

Poux, F.; Neuville, R.; Hallot, P.; Billen, R.

2017-10-01

This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D state of the recorded environment. As such, they are an exhaustive representation of the real world at every scale: 3D reality-based spatial data. Their generation is increasingly fast but processing routines and data models lack of knowledge to reason from information extraction rather than interpretation. The enhanced smart point cloud developed model allows to bring intelligence to point clouds via 3 connected meta-models while linking available knowledge and classification procedures that permits semantic injection. Interoperability drives the model adaptation to potentially many applications through specialized domain ontologies. A first prototype is implemented in Python and PostgreSQL database and allows to combine semantic and spatial concepts for basic hybrid queries on different point clouds.

Supply Chain Interoperability Measurement

DTIC Science & Technology

2015-06-19

Supply Chain Interoperability Measurement DISSERTATION June 2015 Christos E. Chalyvidis, Major, Hellenic Air...ENS-DS-15-J-001 SUPPLY CHAIN INTEROPERABILITY MEASUREMENT DISSERTATION Presented to the Faculty Department of Operational Sciences...INTEROPERABILITY MEASUREMENT Christos E. Chalyvidis, BS, MSc. Major, Hellenic Air Force Committee Membership: Dr. A.W. Johnson Chair

Mining Hierarchies and Similarity Clusters from Value Set Repositories.

PubMed

Peterson, Kevin J; Jiang, Guoqian; Brue, Scott M; Shen, Feichen; Liu, Hongfang

2017-01-01

A value set is a collection of permissible values used to describe a specific conceptual domain for a given purpose. By helping to establish a shared semantic understanding across use cases, these artifacts are important enablers of interoperability and data standardization. As the size of repositories cataloging these value sets expand, knowledge management challenges become more pronounced. Specifically, discovering value sets applicable to a given use case may be challenging in a large repository. In this study, we describe methods to extract implicit relationships between value sets, and utilize these relationships to overlay organizational structure onto value set repositories. We successfully extract two different structurings, hierarchy and clustering, and show how tooling can leverage these structures to enable more effective value set discovery.

Metadata mapping and reuse in caBIG.

PubMed

Kunz, Isaac; Lin, Ming-Chin; Frey, Lewis

2009-02-05

This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facilitate the building domain models. This is examined in the context of an existing system, the National Cancer Institute (NCI)'s cancer Biomedical Informatics Grid (caBIG). The goal is to demonstrate the deployment of open source tools that can be used to effectively map models and enable the reuse of existing information objects and CDEs in the development of new models for translational research applications. This effort is intended to help developers reuse appropriate CDEs to enable interoperability of their systems when developing within the caBIG framework or other frameworks that use metadata repositories. The Dice (di-grams) and Dynamic algorithms are compared and both algorithms have similar performance matching UML model class-attributes to CDE class object-property pairs. With algorithms used, the baselines for automatically finding the matches are reasonable for the data models examined. It suggests that automatic mapping of UML models and CDEs is feasible within the caBIG framework and potentially any framework that uses a metadata repository. This work opens up the possibility of using mapping algorithms to reduce cost and time required to map local data models to a reference data model such as those used within caBIG. This effort contributes to facilitating the development of interoperable systems within caBIG as well as other metadata frameworks. Such efforts are critical to address the need to develop systems to handle enormous amounts of diverse data that can be leveraged from new biomedical methodologies.

Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG.

PubMed

Jin, Wenquan; Kim, Do Hyeun

2018-02-20

Recently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare services and information. Remote healthcare is an important purpose of the e-Health system. Usually, the eHealth system includes heterogeneous sensors from diverse manufacturers producing data in different formats. Device interoperability and data normalization is a challenging task that needs research attention. Several solutions are proposed in the literature based on manual interpretation through explicit programming. However, programmatically implementing the interpretation of the data sender and data receiver in the e-Health system for the data transmission is counterproductive as modification will be required for each new device added into the system. In this paper, an e-Health system with the Semantic Sensor Network (SSN) is proposed to address the device interoperability issue. In the proposed system, we have used IETF YANG for modeling the semantic e-Health data to represent the information of e-Health sensors. This modeling scheme helps in provisioning semantic interoperability between devices and expressing the sensing data in a user-friendly manner. For this purpose, we have developed an ontology for e-Health data that supports different styles of data formats. The ontology is defined in YANG for provisioning semantic interpretation of sensing data in the system by constructing meta-models of e-Health sensors. The proposed approach assists in the auto-configuration of eHealth sensors and querying the sensor network with semantic interoperability support for the e-Health system.

Design and Implementation of e-Health System Based on Semantic Sensor Network Using IETF YANG

PubMed Central

Kim, Do Hyeun

2018-01-01

Recently, healthcare services can be delivered effectively to patients anytime and anywhere using e-Health systems. e-Health systems are developed through Information and Communication Technologies (ICT) that involve sensors, mobiles, and web-based applications for the delivery of healthcare services and information. Remote healthcare is an important purpose of the e-Health system. Usually, the eHealth system includes heterogeneous sensors from diverse manufacturers producing data in different formats. Device interoperability and data normalization is a challenging task that needs research attention. Several solutions are proposed in the literature based on manual interpretation through explicit programming. However, programmatically implementing the interpretation of the data sender and data receiver in the e-Health system for the data transmission is counterproductive as modification will be required for each new device added into the system. In this paper, an e-Health system with the Semantic Sensor Network (SSN) is proposed to address the device interoperability issue. In the proposed system, we have used IETF YANG for modeling the semantic e-Health data to represent the information of e-Health sensors. This modeling scheme helps in provisioning semantic interoperability between devices and expressing the sensing data in a user-friendly manner. For this purpose, we have developed an ontology for e-Health data that supports different styles of data formats. The ontology is defined in YANG for provisioning semantic interpretation of sensing data in the system by constructing meta-models of e-Health sensors. The proposed approach assists in the auto-configuration of eHealth sensors and querying the sensor network with semantic interoperability support for the e-Health system. PMID:29461493

Interoperability and information discovery

USGS Publications Warehouse

Christian, E.

2001-01-01

In the context of information systems, there is interoperability when the distinctions between separate information systems are not a barrier to accomplishing a task that spans those systems. Interoperability so defined implies that there are commonalities among the systems involved and that one can exploit such commonalities to achieve interoperability. The challenge of a particular interoperability task is to identify relevant commonalities among the systems involved and to devise mechanisms that exploit those commonalities. The present paper focuses on the particular interoperability task of information discovery. The Global Information Locator Service (GILS) is described as a policy, standards, and technology framework for addressing interoperable information discovery on a global and long-term basis. While there are many mechanisms for people to discover and use all manner of data and information resources, GILS initiatives exploit certain key commonalities that seem to be sufficient to realize useful information discovery interoperability at a global, long-term scale. This paper describes ten of the specific commonalities that are key to GILS initiatives. It presents some of the practical implications for organizations in various roles: content provider, system engineer, intermediary, and searcher. The paper also provides examples of interoperable information discovery as deployed using GILS in four types of information communities: bibliographic, geographic, environmental, and government.

80 FR 46010 - Promoting Semantic Interoperability of Laboratory Data; Public Workshop; Request for Comments

Federal Register 2010, 2011, 2012, 2013, 2014

2015-08-03

...] Promoting Semantic Interoperability of Laboratory Data; Public Workshop; Request for Comments AGENCY: Food... workshop entitled ``FDA/CDC/NLM Workshop on Promoting Semantic Interoperability of Laboratory Data.'' The... to promoting the semantic interoperability of laboratory data between in vitro diagnostic devices and...

Issues in PCS interoperability and Internetworking

NASA Technical Reports Server (NTRS)

Dean, Richard A.; Estabrook, Polly

1995-01-01

This paper is an expansion of an earlier paper on Satellite/Terrestrial PCS which addressed issues for interoperability that included Networks, Services, Voice Coders and Mobility/Security. This paper focuses on the narrower topic of Network Reference Models and associated interfaces and protocols. The network reference models are addressed from the perspective of the User, the Cellular Carrier, the PSN Carrier, and the Radio Vendor. Each perspective is presented in the way these systems have evolved. The TIA TR46/GSM reference model will be reviewed. Variations in the use of this model that are prevalent in the industry will be discussed. These are the North American Cellular networks, the GSM networks, and the North American Carriers/Bellcore perspective. The paper concludes with the presentation of issues that develop from looking at merging satellite service into a world of many different networks.

Reference Architecture Model Enabling Standards Interoperability.

PubMed

Blobel, Bernd

2017-01-01

Advanced health and social services paradigms are supported by a comprehensive set of domains managed by different scientific disciplines. Interoperability has to evolve beyond information and communication technology (ICT) concerns, including the real world business domains and their processes, but also the individual context of all actors involved. So, the system must properly reflect the environment in front and around the computer as essential and even defining part of the health system. This paper introduces an ICT-independent system-theoretical, ontology-driven reference architecture model allowing the representation and harmonization of all domains involved including the transformation into an appropriate ICT design and implementation. The entire process is completely formalized and can therefore be fully automated.

Collaborative development of predictive toxicology applications

PubMed Central

2010-01-01

OpenTox provides an interoperable, standards-based Framework for the support of predictive toxicology data management, algorithms, modelling, validation and reporting. It is relevant to satisfying the chemical safety assessment requirements of the REACH legislation as it supports access to experimental data, (Quantitative) Structure-Activity Relationship models, and toxicological information through an integrating platform that adheres to regulatory requirements and OECD validation principles. Initial research defined the essential components of the Framework including the approach to data access, schema and management, use of controlled vocabularies and ontologies, architecture, web service and communications protocols, and selection and integration of algorithms for predictive modelling. OpenTox provides end-user oriented tools to non-computational specialists, risk assessors, and toxicological experts in addition to Application Programming Interfaces (APIs) for developers of new applications. OpenTox actively supports public standards for data representation, interfaces, vocabularies and ontologies, Open Source approaches to core platform components, and community-based collaboration approaches, so as to progress system interoperability goals. The OpenTox Framework includes APIs and services for compounds, datasets, features, algorithms, models, ontologies, tasks, validation, and reporting which may be combined into multiple applications satisfying a variety of different user needs. OpenTox applications are based on a set of distributed, interoperable OpenTox API-compliant REST web services. The OpenTox approach to ontology allows for efficient mapping of complementary data coming from different datasets into a unifying structure having a shared terminology and representation. Two initial OpenTox applications are presented as an illustration of the potential impact of OpenTox for high-quality and consistent structure-activity relationship modelling of REACH-relevant endpoints: ToxPredict which predicts and reports on toxicities for endpoints for an input chemical structure, and ToxCreate which builds and validates a predictive toxicity model based on an input toxicology dataset. Because of the extensible nature of the standardised Framework design, barriers of interoperability between applications and content are removed, as the user may combine data, models and validation from multiple sources in a dependable and time-effective way. PMID:20807436

Collaborative development of predictive toxicology applications.

PubMed

Hardy, Barry; Douglas, Nicki; Helma, Christoph; Rautenberg, Micha; Jeliazkova, Nina; Jeliazkov, Vedrin; Nikolova, Ivelina; Benigni, Romualdo; Tcheremenskaia, Olga; Kramer, Stefan; Girschick, Tobias; Buchwald, Fabian; Wicker, Joerg; Karwath, Andreas; Gütlein, Martin; Maunz, Andreas; Sarimveis, Haralambos; Melagraki, Georgia; Afantitis, Antreas; Sopasakis, Pantelis; Gallagher, David; Poroikov, Vladimir; Filimonov, Dmitry; Zakharov, Alexey; Lagunin, Alexey; Gloriozova, Tatyana; Novikov, Sergey; Skvortsova, Natalia; Druzhilovsky, Dmitry; Chawla, Sunil; Ghosh, Indira; Ray, Surajit; Patel, Hitesh; Escher, Sylvia

2010-08-31

OpenTox provides an interoperable, standards-based Framework for the support of predictive toxicology data management, algorithms, modelling, validation and reporting. It is relevant to satisfying the chemical safety assessment requirements of the REACH legislation as it supports access to experimental data, (Quantitative) Structure-Activity Relationship models, and toxicological information through an integrating platform that adheres to regulatory requirements and OECD validation principles. Initial research defined the essential components of the Framework including the approach to data access, schema and management, use of controlled vocabularies and ontologies, architecture, web service and communications protocols, and selection and integration of algorithms for predictive modelling. OpenTox provides end-user oriented tools to non-computational specialists, risk assessors, and toxicological experts in addition to Application Programming Interfaces (APIs) for developers of new applications. OpenTox actively supports public standards for data representation, interfaces, vocabularies and ontologies, Open Source approaches to core platform components, and community-based collaboration approaches, so as to progress system interoperability goals.The OpenTox Framework includes APIs and services for compounds, datasets, features, algorithms, models, ontologies, tasks, validation, and reporting which may be combined into multiple applications satisfying a variety of different user needs. OpenTox applications are based on a set of distributed, interoperable OpenTox API-compliant REST web services. The OpenTox approach to ontology allows for efficient mapping of complementary data coming from different datasets into a unifying structure having a shared terminology and representation.Two initial OpenTox applications are presented as an illustration of the potential impact of OpenTox for high-quality and consistent structure-activity relationship modelling of REACH-relevant endpoints: ToxPredict which predicts and reports on toxicities for endpoints for an input chemical structure, and ToxCreate which builds and validates a predictive toxicity model based on an input toxicology dataset. Because of the extensible nature of the standardised Framework design, barriers of interoperability between applications and content are removed, as the user may combine data, models and validation from multiple sources in a dependable and time-effective way.

Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs.

PubMed

Tapuria, Archana; Kalra, Dipak; Kobayashi, Shinji

2013-12-01

The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes.

On Using Meta-Modeling and Multi-Modeling to Address Complex Problems

ERIC Educational Resources Information Center

Abu Jbara, Ahmed

2013-01-01

Models, created using different modeling techniques, usually serve different purposes and provide unique insights. While each modeling technique might be capable of answering specific questions, complex problems require multiple models interoperating to complement/supplement each other; we call this Multi-Modeling. To address the syntactic and…

Based new WiMax simulation model to investigate Qos with OPNET modeler in sheduling environment

NASA Astrophysics Data System (ADS)

Saini, Sanju; Saini, K. K.

2012-11-01

WiMAX stands for World Interoperability for Microwave Access. It is considered a major part of broadband wireless network having the IEEE 802.16 standard. WiMAX provides innovative, fixed as well as mobile platforms for broadband internet access anywhere anytime with different transmission modes. The results show approximately equal load and throughput while the delay values vary among the different Base Stations Introducing the various type of scheduling algorithm, like FIFO,PQ,WFQ, for comparison of four type of scheduling service, with its own QoS needs and also introducing OPNET modeler support for Worldwide Interoperability for Microwave Access (WiMAX) network. The simulation results indicate the correctness and the effectiveness of this algorithm. This paper presents a WiMAX simulation model designed with OPNET modeler 14 to measure the delay, load and the throughput performance factors.

Evolution of System Architectures: Where Do We Need to Fail Next?

NASA Astrophysics Data System (ADS)

Bermudez, Luis; Alameh, Nadine; Percivall, George

2013-04-01

Innovation requires testing and failing. Thomas Edison was right when he said "I have not failed. I've just found 10,000 ways that won't work". For innovation and improvement of standards to happen, service Architectures have to be tested and tested. Within the Open Geospatial Consortium (OGC), testing of service architectures has occurred for the last 15 years. This talk will present an evolution of these service architectures and a possible future path. OGC is a global forum for the collaboration of developers and users of spatial data products and services, and for the advancement and development of international standards for geospatial interoperability. The OGC Interoperability Program is a series of hands-on, fast paced, engineering initiatives to accelerate the development and acceptance of OGC standards. Each initiative is organized in threads that provide focus under a particular theme. The first testbed, OGC Web Services phase 1, completed in 2003 had four threads: Common Architecture, Web Mapping, Sensor Web and Web Imagery Enablement. The Common Architecture was a cross-thread theme, to ensure that the Web Mapping and Sensor Web experiments built on a base common architecture. The architecture was based on the three main SOA components: Broker, Requestor and Provider. It proposed a general service model defining service interactions and dependencies; categorization of service types; registries to allow discovery and access of services; data models and encodings; and common services (WMS, WFS, WCS). For the latter, there was a clear distinction on the different services: Data Services (e.g. WMS), Application services (e.g. Coordinate transformation) and server-side client applications (e.g. image exploitation). The latest testbed, OGC Web Service phase 9, completed in 2012 had 5 threads: Aviation, Cross-Community Interoperability (CCI), Security and Services Interoperability (SSI), OWS Innovations and Compliance & Interoperability Testing & Evaluation (CITE). Compared to the first testbed, OWS-9 did not have a separate common architecture thread. Instead the emphasis was on brokering information models, securing them and making data available efficiently on mobile devices. The outcome is an architecture based on usability and non-intrusiveness while leveraging mediation of information models from different communities. This talk will use lessons learned from the evolution from OGC Testbed phase 1 to phase 9 to better understand how global and complex infrastructures evolve to support many communities including the Earth System Science Community.

75 FR 63462 - Smart Grid Interoperability Standards; Notice of Docket Designation for Smart Grid...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-15

... DEPARTMENT OF ENERGY Federal Energy Regulatory Commission [Docket No. RM11-2-000] Smart Grid Interoperability Standards; Notice of Docket Designation for Smart Grid Interoperability Standards October 7, 2010... directs the development of a framework to achieve interoperability of smart grid devices and systems...

81 FR 68435 - Workshop on Promoting Semantic Interoperability of Laboratory Data; Public Workshop; Request for...

Federal Register 2010, 2011, 2012, 2013, 2014

2016-10-04

...] Workshop on Promoting Semantic Interoperability of Laboratory Data; Public Workshop; Request for Comments... Semantic Interoperability of Laboratory Data.'' The purpose of this public workshop is to receive and... Semantic Interoperability of Laboratory Data.'' Received comments will be placed in the docket and, except...

Robotics Systems Joint Project Office (RSJPO) Interoperability Profiles (IOPS) 101

DTIC Science & Technology

2012-07-01

interoperability, although they are supported by some interoperability attributes  For example, stair climbing » Stair climbing is not something that...IOPs need to specify » However, the mobility & actuation related interoperable messages can be used to provide stair climbing » Also...interoperability can enable management of different poses or modes, one of which may be stair climbing R O B O T IC S Y S T E M S J P O L e a d e r s h i p

Procuring interoperability at the expense of usability: a case study of UK National Programme for IT assurance process.

PubMed

Krause, Paul; de Lusignan, Simon

2010-01-01

The allure of interoperable systems is that they should improve patient safety and make health services more efficient. The UK's National Programme for IT has made great strides in achieving interoperability; through linkage to a national electronic spine. However, there has been criticism of the usability of the applications in the clinical environment. Analysis of the procurement and assurance process to explore whether they predetermine usability. Processes separate developers from users, and test products against theoretical assurance models of use rather than simulate or pilot in a clinical environment. The current process appears to be effective for back office systems and high risk applications, but too inflexible for developing applications for the clinical setting. For clinical applications agile techniques are more appropriate. Usability testing should become an integrated part of the contractual process and be introduced earlier in the development process.

Design and Application of an Ontology for Component-Based Modeling of Water Systems

NASA Astrophysics Data System (ADS)

Elag, M.; Goodall, J. L.

2012-12-01

Many Earth system modeling frameworks have adopted an approach of componentizing models so that a large model can be assembled by linking a set of smaller model components. These model components can then be more easily reused, extended, and maintained by a large group of model developers and end users. While there has been a notable increase in component-based model frameworks in the Earth sciences in recent years, there has been less work on creating framework-agnostic metadata and ontologies for model components. Well defined model component metadata is needed, however, to facilitate sharing, reuse, and interoperability both within and across Earth system modeling frameworks. To address this need, we have designed an ontology for the water resources community named the Water Resources Component (WRC) ontology in order to advance the application of component-based modeling frameworks across water related disciplines. Here we present the design of the WRC ontology and demonstrate its application for integration of model components used in watershed management. First we show how the watershed modeling system Soil and Water Assessment Tool (SWAT) can be decomposed into a set of hydrological and ecological components that adopt the Open Modeling Interface (OpenMI) standard. Then we show how the components can be used to estimate nitrogen losses from land to surface water for the Baltimore Ecosystem study area. Results of this work are (i) a demonstration of how the WRC ontology advances the conceptual integration between components of water related disciplines by handling the semantic and syntactic heterogeneity present when describing components from different disciplines and (ii) an investigation of a methodology by which large models can be decomposed into a set of model components that can be well described by populating metadata according to the WRC ontology.

An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies

PubMed Central

Yuksel, Mustafa; Gonul, Suat; Laleci Erturkmen, Gokce Banu; Sinaci, Ali Anil; Invernizzi, Paolo; Facchinetti, Sara; Migliavacca, Andrea; Bergvall, Tomas; Depraetere, Kristof; De Roo, Jos

2016-01-01

Depending mostly on voluntarily sent spontaneous reports, pharmacovigilance studies are hampered by low quantity and quality of patient data. Our objective is to improve postmarket safety studies by enabling safety analysts to seamlessly access a wide range of EHR sources for collecting deidentified medical data sets of selected patient populations and tracing the reported incidents back to original EHRs. We have developed an ontological framework where EHR sources and target clinical research systems can continue using their own local data models, interfaces, and terminology systems, while structural interoperability and Semantic Interoperability are handled through rule-based reasoning on formal representations of different models and terminology systems maintained in the SALUS Semantic Resource Set. SALUS Common Information Model at the core of this set acts as the common mediator. We demonstrate the capabilities of our framework through one of the SALUS safety analysis tools, namely, the Case Series Characterization Tool, which have been deployed on top of regional EHR Data Warehouse of the Lombardy Region containing about 1 billion records from 16 million patients and validated by several pharmacovigilance researchers with real-life cases. The results confirm significant improvements in signal detection and evaluation compared to traditional methods with the missing background information. PMID:27123451

Converting ODM Metadata to FHIR Questionnaire Resources.

PubMed

Doods, Justin; Neuhaus, Philipp; Dugas, Martin

2016-01-01

Interoperability between systems and data sharing between domains is becoming more and more important. The portal medical-data-models.org offers more than 5.300 UMLS annotated forms in CDISC ODM format in order to support interoperability, but several additional export formats are available. CDISC's ODM and HL7's framework FHIR Questionnaire resource were analyzed, a mapping between elements created and a converter implemented. The developed converter was integrated into the portal with FHIR Questionnaire XML or JSON download options. New FHIR applications can now use this large library of forms.

.NET INTEROPERABILITY GUIDELINES

EPA Science Inventory

The CAPE-OPEN middleware standards were created to allow process modelling components (PMCs) developed by third parties to be used in any process modelling environment (PME) utilizing these standards. The CAPE-OPEN middleware specifications were based upon both Microsoft's Compo...

Towards a Ubiquitous User Model for Profile Sharing and Reuse

PubMed Central

de Lourdes Martinez-Villaseñor, Maria; Gonzalez-Mendoza, Miguel; Hernandez-Gress, Neil

2012-01-01

People interact with systems and applications through several devices and are willing to share information about preferences, interests and characteristics. Social networking profiles, data from advanced sensors attached to personal gadgets, and semantic web technologies such as FOAF and microformats are valuable sources of personal information that could provide a fair understanding of the user, but profile information is scattered over different user models. Some researchers in the ubiquitous user modeling community envision the need to share user model's information from heterogeneous sources. In this paper, we address the syntactic and semantic heterogeneity of user models in order to enable user modeling interoperability. We present a dynamic user profile structure based in Simple Knowledge Organization for the Web (SKOS) to provide knowledge representation for ubiquitous user model. We propose a two-tier matching strategy for concept schemas alignment to enable user modeling interoperability. Our proposal is proved in the application scenario of sharing and reusing data in order to deal with overweight and obesity. PMID:23201995

76 FR 66040 - NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0 (Draft...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-10-25

...-01] NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0 (Draft... draft version of the NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0... Roadmap for Smart Grid Interoperability Standards, Release 2.0 (Release 2.0) (Draft) for public review and...

Architectural approaches for HL7-based health information systems implementation.

PubMed

López, D M; Blobel, B

2010-01-01

Information systems integration is hard, especially when semantic and business process interoperability requirements need to be met. To succeed, a unified methodology, approaching different aspects of systems architecture such as business, information, computational, engineering and technology viewpoints, has to be considered. The paper contributes with an analysis and demonstration on how the HL7 standard set can support health information systems integration. Based on the Health Information Systems Development Framework (HIS-DF), common architectural models for HIS integration are analyzed. The framework is a standard-based, consistent, comprehensive, customizable, scalable methodology that supports the design of semantically interoperable health information systems and components. Three main architectural models for system integration are analyzed: the point to point interface, the messages server and the mediator models. Point to point interface and messages server models are completely supported by traditional HL7 version 2 and version 3 messaging. The HL7 v3 standard specification, combined with service-oriented, model-driven approaches provided by HIS-DF, makes the mediator model possible. The different integration scenarios are illustrated by describing a proof-of-concept implementation of an integrated public health surveillance system based on Enterprise Java Beans technology. Selecting the appropriate integration architecture is a fundamental issue of any software development project. HIS-DF provides a unique methodological approach guiding the development of healthcare integration projects. The mediator model - offered by the HIS-DF and supported in HL7 v3 artifacts - is the more promising one promoting the development of open, reusable, flexible, semantically interoperable, platform-independent, service-oriented and standard-based health information systems.

Investigating the capabilities of semantic enrichment of 3D CityEngine data

NASA Astrophysics Data System (ADS)

Solou, Dimitra; Dimopoulou, Efi

2016-08-01

In recent years the development of technology and the lifting of several technical limitations, has brought the third dimension to the fore. The complexity of urban environments and the strong need for land administration, intensify the need of using a three-dimensional cadastral system. Despite the progress in the field of geographic information systems and 3D modeling techniques, there is no fully digital 3D cadastre. The existing geographic information systems and the different methods of three-dimensional modeling allow for better management, visualization and dissemination of information. Nevertheless, these opportunities cannot be totally exploited because of deficiencies in standardization and interoperability in these systems. Within this context, CityGML was developed as an international standard of the Open Geospatial Consortium (OGC) for 3D city models' representation and exchange. CityGML defines geometry and topology for city modeling, also focusing on semantic aspects of 3D city information. The scope of CityGML is to reach common terminology, also addressing the imperative need for interoperability and data integration, taking into account the number of available geographic information systems and modeling techniques. The aim of this paper is to develop an application for managing semantic information of a model generated based on procedural modeling. The model was initially implemented in CityEngine ESRI's software, and then imported to ArcGIS environment. Final goal was the original model's semantic enrichment and then its conversion to CityGML format. Semantic information management and interoperability seemed to be feasible by the use of the 3DCities Project ESRI tools, since its database structure ensures adding semantic information to the CityEngine model and therefore automatically convert to CityGML for advanced analysis and visualization in different application areas.

76 FR 51271 - Implementing a Nationwide, Broadband, Interoperable Public Safety Network in the 700 MHz Band

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-18

... Docket 07-100; FCC 11-6] Implementing a Nationwide, Broadband, Interoperable Public Safety Network in the... interoperable public safety broadband network. The establishment of a common air interface for 700 MHz public safety broadband networks will create a foundation for interoperability and provide a clear path for the...

Political, policy and social barriers to health system interoperability: emerging opportunities of Web 2.0 and 3.0.

PubMed

Juzwishin, Donald W M

2009-01-01

Achieving effective health informatics interoperability in a fragmented and uncoordinated health system is by definition not possible. Interoperability requires the simultaneous integration of health care processes and information across different types and levels of care (systems thinking). The fundamental argument of this paper is that information system interoperability will remain an unfulfilled hope until health reforms effectively address the governance (accountability), structural and process barriers to interoperability of health care delivery. The ascendency of Web 2.0 and 3.0, although still unproven, signals the opportunity to accelerate patients' access to health information and their health record. Policy suggestions for simultaneously advancing health system delivery and information system interoperability are posited.

D-ATM, a working example of health care interoperability: From dirt path to gravel road.

PubMed

DeClaris, John-William

2009-01-01

For many years, there have been calls for interoperability within health care systems. The technology currently exists and is being used in business areas like banking and commerce, to name a few. Yet the question remains, why has interoperability not been achieved in health care? This paper examines issues encountered and success achieved with interoperability during the development of the Digital Access To Medication (D-ATM) project, sponsored by the Substance Abuse and Mental Health Services Administration (SAMHSA). D-ATM is the first government funded interoperable patient management system. The goal of this paper is to provide lessons learned and propose one possible road map for health care interoperability within private industry and how government can help.

Numerical simulations for active tectonic processes: increasing interoperability and performance

NASA Technical Reports Server (NTRS)

Donnellan, A.; Fox, G.; Rundle, J.; McLeod, D.; Tullis, T.; Grant, L.

2002-01-01

The objective of this project is to produce a system to fully model earthquake-related data. This task develops simulation and analysis tools to study the physics of earthquakes using state-of-the-art modeling.

Rasp Tool on Phoenix Robotic Arm Model

NASA Image and Video Library

2008-07-15

This close-up photograph taken at the Payload Interoperability Testbed at the University of Arizona, Tucson, shows the motorized rasp protruding from the bottom of the scoop on the engineering model of NASA Phoenix Mars Lander Robotic Arm.

A generative tool for building health applications driven by ISO 13606 archetypes.

PubMed

Menárguez-Tortosa, Marcos; Martínez-Costa, Catalina; Fernández-Breis, Jesualdo Tomás

2012-10-01

The use of Electronic Healthcare Records (EHR) standards in the development of healthcare applications is crucial for achieving the semantic interoperability of clinical information. Advanced EHR standards make use of the dual model architecture, which provides a solution for clinical interoperability based on the separation of the information and knowledge. However, the impact of such standards is biased by the limited availability of tools that facilitate their usage and practical implementation. In this paper, we present an approach for the automatic generation of clinical applications for the ISO 13606 EHR standard, which is based on the dual model architecture. This generator has been generically designed, so it can be easily adapted to other dual model standards and can generate applications for multiple technological platforms. Such good properties are based on the combination of standards for the representation of generic user interfaces and model-driven engineering techniques.

Metadata mapping and reuse in caBIG™

PubMed Central

Kunz, Isaac; Lin, Ming-Chin; Frey, Lewis

2009-01-01

Background This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facilitate the building domain models. This is examined in the context of an existing system, the National Cancer Institute (NCI)'s cancer Biomedical Informatics Grid (caBIG™). The goal is to demonstrate the deployment of open source tools that can be used to effectively map models and enable the reuse of existing information objects and CDEs in the development of new models for translational research applications. This effort is intended to help developers reuse appropriate CDEs to enable interoperability of their systems when developing within the caBIG™ framework or other frameworks that use metadata repositories. Results The Dice (di-grams) and Dynamic algorithms are compared and both algorithms have similar performance matching UML model class-attributes to CDE class object-property pairs. With algorithms used, the baselines for automatically finding the matches are reasonable for the data models examined. It suggests that automatic mapping of UML models and CDEs is feasible within the caBIG™ framework and potentially any framework that uses a metadata repository. Conclusion This work opens up the possibility of using mapping algorithms to reduce cost and time required to map local data models to a reference data model such as those used within caBIG™. This effort contributes to facilitating the development of interoperable systems within caBIG™ as well as other metadata frameworks. Such efforts are critical to address the need to develop systems to handle enormous amounts of diverse data that can be leveraged from new biomedical methodologies. PMID:19208192

Artifact-resistant superimposition of digital dental models and cone-beam computed tomography images.

PubMed

Lin, Hsiu-Hsia; Chiang, Wen-Chung; Lo, Lun-Jou; Sheng-Pin Hsu, Sam; Wang, Chien-Hsuan; Wan, Shu-Yen

2013-11-01

Combining the maxillofacial cone-beam computed tomography (CBCT) model with its corresponding digital dental model enables an integrated 3-dimensional (3D) representation of skeletal structures, teeth, and occlusions. Undesired artifacts, however, introduce difficulties in the superimposition of both models. We have proposed an artifact-resistant surface-based registration method that is robust and clinically applicable and that does not require markers. A CBCT bone model and a laser-scanned dental model obtained from the same patient were used in developing the method and examining the accuracy of the superimposition. Our method included 4 phases. The first phase was to segment the maxilla from the mandible in the CBCT model. The second phase was to conduct an initial registration to bring the digital dental model and the maxilla and mandible sufficiently close to each other. Third, we manually selected at least 3 corresponding regions on both models by smearing patches on the 3D surfaces. The last phase was to superimpose the digital dental model into the maxillofacial model. Each superimposition process was performed twice by 2 operators with the same object to investigate the intra- and interoperator differences. All collected objects were divided into 3 groups with various degrees of artifacts: artifact-free, critical artifacts, and severe artifacts. The mean errors and root-mean-square (RMS) errors were used to evaluate the accuracy of the superimposition results. Repeated measures analysis of variance and the Wilcoxon rank sum test were used to calculate the intraoperator reproducibility and interoperator reliability. Twenty-four maxilla and mandible objects for evaluation were obtained from 14 patients. The experimental results showed that the mean errors between the 2 original models in the residing fused model ranged from 0.10 to 0.43 mm and that the RMS errors ranged from 0.13 to 0.53 mm. These data were consistent with previously used methods and were clinically acceptable. All measurements of the proposed study exhibited desirable intraoperator reproducibility and interoperator reliability. Regarding the intra- and interoperator mean errors and RMS errors in the nonartifact or critical artifact group, no significant difference between the repeated trials or between operators (P < .05) was observed. The results of the present study have shown that the proposed regional surface-based registration can robustly and accurately superimpose a digital dental model into its corresponding CBCT model. Copyright © 2013 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

The Command and Control Reference Model for modeling, simulations, and technology applications

NASA Astrophysics Data System (ADS)

Mayk, Israel

1994-01-01

The C2RM provides a framework for the evolution of a coordinated and detailed definition of a command and control (C2) discipline. The C2RM embodies an integrated multidisciplinary approach. It is intended to be complete and self-consistent for the main levels of abstractions encountered in models, simulations, operational applications, functional descriptions, paradigms and metaphors of C2. The scope of the C2RM embraces C2 using all key physical and logical interactions associated with C2 systems. It is concerned with interactions, involving not only communications (e.g., radios), but transportations (e.g., vehicles), identifications (e.g., sensors), and inflictions (e.g., weapons), which take place between resources of the same, friendly, hostile or neutral C2 units. High levels of abstractions of user requirements for C2 across the broad spectrum of military and civil domains have led to the development of the C2RM. It applies to all phases of system acquisition from the laboratory to the field and from conceptualization to realization. The C2RM is based upon generic and analog extensions to the International Standards Organization (ISO) open system interconnection (OSI) reference model (RM) which go far beyond the scope of the ISO OSI RM. The major theme, however, of layering services is preserved to facilitate understanding, reuse of design, implementation, and interoperability to the maximum degree possible with available C2 technology.

Interoperability of Information Systems Managed and Used by the Local Health Departments.

PubMed

Shah, Gulzar H; Leider, Jonathon P; Luo, Huabin; Kaur, Ravneet

2016-01-01

In the post-Affordable Care Act era marked by interorganizational collaborations and availability of large amounts of electronic data from other community partners, it is imperative to assess the interoperability of information systems used by the local health departments (LHDs). To describe the level of interoperability of LHD information systems and identify factors associated with lack of interoperability. This mixed-methods research uses data from the 2015 Informatics Capacity and Needs Assessment Survey, with a target population of all LHDs in the United States. A representative sample of 650 LHDs was drawn using a stratified random sampling design. A total of 324 completed responses were received (50% response rate). Qualitative data were used from a key informant interview study of LHD informatics staff from across the United States. Qualitative data were independently coded by 2 researchers and analyzed thematically. Survey data were cleaned, bivariate comparisons were conducted, and a multivariable logistic regression was run to characterize factors associated with interoperability. For 30% of LHDs, no systems were interoperable, and 38% of LHD respondents indicated some of the systems were interoperable. Significant determinants of interoperability included LHDs having leadership support (adjusted odds ratio [AOR] = 3.54), control of information technology budget allocation (AOR = 2.48), control of data systems (AOR = 2.31), having a strategic plan for information systems (AOR = 1.92), and existence of business process analysis and redesign (AOR = 1.49). Interoperability of all systems may be an informatics goal, but only a small proportion of LHDs reported having interoperable systems, pointing to a substantial need among LHDs nationwide.

CAPTIONALS: A computer aided testing environment for the verification and validation of communication protocols

NASA Technical Reports Server (NTRS)

Feng, C.; Sun, X.; Shen, Y. N.; Lombardi, Fabrizio

1992-01-01

This paper covers the verification and protocol validation for distributed computer and communication systems using a computer aided testing approach. Validation and verification make up the so-called process of conformance testing. Protocol applications which pass conformance testing are then checked to see whether they can operate together. This is referred to as interoperability testing. A new comprehensive approach to protocol testing is presented which address: (1) modeling for inter-layer representation for compatibility between conformance and interoperability testing; (2) computational improvement to current testing methods by using the proposed model inclusive of formulation of new qualitative and quantitative measures and time-dependent behavior; (3) analysis and evaluation of protocol behavior for interactive testing without extensive simulation.

eHealth integration and interoperability issues: towards a solution through enterprise architecture.

PubMed

Adenuga, Olugbenga A; Kekwaletswe, Ray M; Coleman, Alfred

2015-01-01

Investments in healthcare information and communication technology (ICT) and health information systems (HIS) continue to increase. This is creating immense pressure on healthcare ICT and HIS to deliver and show significance in such investments in technology. It is discovered in this study that integration and interoperability contribute largely to this failure in ICT and HIS investment in healthcare, thus resulting in the need towards healthcare architecture for eHealth. This study proposes an eHealth architectural model that accommodates requirement based on healthcare need, system, implementer, and hardware requirements. The model is adaptable and examines the developer's and user's views that systems hold high hopes for their potential to change traditional organizational design, intelligence, and decision-making.

Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination

PubMed Central

Doiron, Dany; Marcon, Yannick; Fortier, Isabel; Burton, Paul; Ferretti, Vincent

2017-01-01

Abstract Motivation Improving the dissemination of information on existing epidemiological studies and facilitating the interoperability of study databases are essential to maximizing the use of resources and accelerating improvements in health. To address this, Maelstrom Research proposes Opal and Mica, two inter-operable open-source software packages providing out-of-the-box solutions for epidemiological data management, harmonization and dissemination. Implementation Opal and Mica are two standalone but inter-operable web applications written in Java, JavaScript and PHP. They provide web services and modern user interfaces to access them. General features Opal allows users to import, manage, annotate and harmonize study data. Mica is used to build searchable web portals disseminating study and variable metadata. When used conjointly, Mica users can securely query and retrieve summary statistics on geographically dispersed Opal servers in real-time. Integration with the DataSHIELD approach allows conducting more complex federated analyses involving statistical models. Availability Opal and Mica are open-source and freely available at [www.obiba.org] under a General Public License (GPL) version 3, and the metadata models and taxonomies that accompany them are available under a Creative Commons licence. PMID:29025122

Biometric identification: a holistic perspective

NASA Astrophysics Data System (ADS)

Nadel, Lawrence D.

2007-04-01

Significant advances continue to be made in biometric technology. However, the global war on terrorism and our increasingly electronic society have created the societal need for large-scale, interoperable biometric capabilities that challenge the capabilities of current off-the-shelf technology. At the same time, there are concerns that large-scale implementation of biometrics will infringe our civil liberties and offer increased opportunities for identity theft. This paper looks beyond the basic science and engineering of biometric sensors and fundamental matching algorithms and offers approaches for achieving greater performance and acceptability of applications enabled with currently available biometric technologies. The discussion focuses on three primary biometric system aspects: performance and scalability, interoperability, and cost benefit. Significant improvements in system performance and scalability can be achieved through careful consideration of the following elements: biometric data quality, human factors, operational environment, workflow, multibiometric fusion, and integrated performance modeling. Application interoperability hinges upon some of the factors noted above as well as adherence to interface, data, and performance standards. However, there are times when the price of conforming to such standards can be decreased local system performance. The development of biometric performance-based cost benefit models can help determine realistic requirements and acceptable designs.

Interoperable End-to-End Remote Patient Monitoring Platform Based on IEEE 11073 PHD and ZigBee Health Care Profile.

PubMed

Clarke, Malcolm; de Folter, Joost; Verma, Vivek; Gokalp, Hulya

2018-05-01

This paper describes the implementation of an end-to-end remote monitoring platform based on the IEEE 11073 standards for personal health devices (PHD). It provides an overview of the concepts and approaches and describes how the standard has been optimized for small devices with limited resources of processor, memory, and power that use short-range wireless technology. It explains aspects of IEEE 11073, including the domain information model, state model, and nomenclature, and how these support its plug-and-play architecture. It shows how these aspects underpin a much larger ecosystem of interoperable devices and systems that include IHE PCD-01, HL7, and BlueTooth LE medical devices, and the relationship to the Continua Guidelines, advocating the adoption of data standards and nomenclature to support semantic interoperability between health and ambient assisted living in future platforms. The paper further describes the adaptions that have been made in order to implement the standard on the ZigBee Health Care Profile and the experiences of implementing an end-to-end platform that has been deployed to frail elderly patients with chronic disease(s) and patients with diabetes.

National electronic health record interoperability chronology.

PubMed

Hufnagel, Stephen P

2009-05-01

The federal initiative for electronic health record (EHR) interoperability began in 2000 and set the stage for the establishment of the 2004 Executive Order for EHR interoperability by 2014. This article discusses the chronology from the 2001 e-Government Consolidated Health Informatics (CHI) initiative through the current congressional mandates for an aligned, interoperable, and agile DoD AHLTA and VA VistA.

Contribution of Clinical Archetypes, and the Challenges, towards Achieving Semantic Interoperability for EHRs

PubMed Central

Kalra, Dipak; Kobayashi, Shinji

2013-01-01

Objectives The objective is to introduce 'clinical archetype' which is a formal and agreed way of representing clinical information to ensure interoperability across and within Electronic Health Records (EHRs). The paper also aims at presenting the challenges building quality labeled clinical archetypes and the challenges towards achieving semantic interoperability between EHRs. Methods Twenty years of international research, various European healthcare informatics projects and the pioneering work of the openEHR Foundation have led to the following results. Results The requirements for EHR information architectures have been consolidated within ISO 18308 and adopted within the ISO 13606 EHR interoperability standard. However, a generic EHR architecture cannot ensure that the clinical meaning of information from heterogeneous sources can be reliably interpreted by receiving systems and services. Therefore, clinical models called 'clinical archetypes' are required to formalize the representation of clinical information within the EHR. Part 2 of ISO 13606 defines how archetypes should be formally represented. The current challenge is to grow clinical communities to build a library of clinical archetypes and to identify how evidence of best practice and multi-professional clinical consensus should best be combined to define archetypes at the optimal level of granularity and specificity and quality label them for wide adoption. Standardizing clinical terms within EHRs using clinical terminology like Systematized Nomenclature of Medicine Clinical Terms is also a challenge. Conclusions Clinical archetypes would play an important role in achieving semantic interoperability within EHRs. Attempts are being made in exploring the design and adoption challenges for clinical archetypes. PMID:24523993

On the formal definition of the systems' interoperability capability: an anthropomorphic approach

NASA Astrophysics Data System (ADS)

Zdravković, Milan; Luis-Ferreira, Fernando; Jardim-Goncalves, Ricardo; Trajanović, Miroslav

2017-03-01

The extended view of enterprise information systems in the Internet of Things (IoT) introduces additional complexity to the interoperability problems. In response to this, the problem of systems' interoperability is revisited by taking into the account the different aspects of philosophy, psychology, linguistics and artificial intelligence, namely by analysing the potential analogies between the processes of human and system communication. Then, the capability to interoperate as a property of the system, is defined as a complex ability to seamlessly sense and perceive a stimulus from its environment (assumingly, a message from any other system), make an informed decision about this perception and consequently, articulate a meaningful and useful action or response, based on this decision. Although this capability is defined on the basis of the existing interoperability theories, the proposed approach to its definition excludes the assumption on the awareness of co-existence of two interoperating systems. Thus, it establishes the links between the research of interoperability of systems and intelligent software agents, as one of the systems' digital identities.

Employing Semantic Technologies for the Orchestration of Government Services

NASA Astrophysics Data System (ADS)

Sabol, Tomáš; Furdík, Karol; Mach, Marián

The main aim of the eGovernment is to provide efficient, secure, inclusive services for its citizens and businesses. The necessity to integrate services and information resources, to increase accessibility, to reduce the administrative burden on citizens and enterprises - these are only a few reasons why the paradigm of the eGovernment has been shifted from the supply-driven approach toward the connected governance, emphasizing the concept of interoperability (Archmann and Nielsen 2008). On the EU level, the interoperability is explicitly addressed as one of the four main challenges, including in the i2010 strategy (i2010 2005). The Commission's Communication (Interoperability for Pan-European eGovernment Services 2006) strongly emphasizes the necessity of interoperable eGovernment services, based on standards, open specifications, and open interfaces. The Pan-European interoperability initiatives, such as the European Interoperability Framework (2004) and IDABC, as well as many projects supported by the European Commission within the IST Program and the Competitiveness and Innovation Program (CIP), illustrate the importance of interoperability on the EU level.

Empowering open systems through cross-platform interoperability

NASA Astrophysics Data System (ADS)

Lyke, James C.

2014-06-01

Most of the motivations for open systems lie in the expectation of interoperability, sometimes referred to as "plug-and-play". Nothing in the notion of "open-ness", however, guarantees this outcome, which makes the increased interest in open architecture more perplexing. In this paper, we explore certain themes of open architecture. We introduce the concept of "windows of interoperability", which can be used to align disparate portions of architecture. Such "windows of interoperability", which concentrate on a reduced set of protocol and interface features, might achieve many of the broader purposes assigned as benefits in open architecture. Since it is possible to engineer proprietary systems that interoperate effectively, this nuanced definition of interoperability may in fact be a more important concept to understand and nurture for effective systems engineering and maintenance.

A Model Performance

ERIC Educational Resources Information Center

Thornton, Bradley D.; Smalley, Robert A.

2008-01-01

Building information modeling (BIM) uses three-dimensional modeling concepts, information technology and interoperable software to design, construct and operate a facility. However, BIM can be more than a tool for virtual modeling--it can provide schools with a 3-D walkthrough of a project while it still is on the electronic drawing board. BIM can…

Evaluating Sustainability Models for Interoperability through Brokering Software

NASA Astrophysics Data System (ADS)

Pearlman, Jay; Benedict, Karl; Best, Mairi; Fyfe, Sue; Jacobs, Cliff; Michener, William; Nativi, Stefano; Powers, Lindsay; Turner, Andrew

2016-04-01

Sustainability of software and research support systems is an element of innovation that is not often discussed. Yet, sustainment is essential if we expect research communities to make the time investment to learn and adopt new technologies. As the Research Data Alliance (RDA) is developing new approaches to interoperability, the question of uptake and sustainability is important. Brokering software sustainability is one of the areas that is being addressed in RDA. The Business Models Team of the Research Data Alliance Brokering Governance Working Group examined several support models proposed to promote the long-term sustainability of brokering middleware. The business model analysis includes examination of funding source, implementation frameworks and challenges, and policy and legal considerations. Results of this comprehensive analysis highlight advantages and disadvantages of the various models with respect to the specific requirements for brokering services. We offer recommendations based on the outcomes of this analysis that suggest that hybrid funding models present the most likely avenue to long term sustainability.

Joint Composable Object Model and LVC Methodology

NASA Technical Reports Server (NTRS)

Rheinsmith, Richard; Wallace, Jeffrey; Bizub, Warren; Ceranowicz, Andy; Cutts, Dannie; Powell, Edward T.; Gustavson, Paul; Lutz, Robert; McCloud, Terrell

2010-01-01

Within the Department of Defense, multiple architectures are created to serve and fulfill one or several specific service or mission related LVC training goals. Multiple Object Models exist across and within those architectures and it is there that those disparate object models are a major source of interoperability problems when developing and constructing the training scenarios. The two most commonly used architectures are; HLA and TENA, with DIS and CTIA following close behind in terms of the number of users. Although these multiple architectures can share and exchange data the underlying meta-models for runtime data exchange are quite different, requiring gateways/translators to bridge between the different object model representations; while the Department of Defense's use of gateways are generally effective in performing these functions, as the LVC environment increases so too does the cost and complexity of these gateways. Coupled with the wide range of different object models across the various user communities we increase the propensity for run time errors, increased programmer stop gap measures during coordinated exercises, or failure of the system as a whole due to unknown or unforeseen incompatibilities. The Joint Composable Object Model (JCOM) project was established under an M&S Steering Committee (MSSC)-sponsored effort with oversight and control placed under the Joint Forces Command J7 Advanced Concepts Program Directorate. The purpose of this paper is to address the initial and the current progress that has been made in the following areas; the Conceptual Model Development Format, the Common Object Model, the Architecture Neutral Data Exchange Model (ANDEM), and the association methodology to allow the re-use of multiple architecture object models and the development of the prototype persistent reusable library.

The GEOSS solution for enabling data interoperability and integrative research.

PubMed

Nativi, Stefano; Mazzetti, Paolo; Craglia, Max; Pirrone, Nicola

2014-03-01

Global sustainability research requires an integrative research effort underpinned by digital infrastructures (systems) able to harness data and heterogeneous information across disciplines. Digital data and information sharing across systems and applications is achieved by implementing interoperability: a property of a product or system to work with other products or systems, present or future. There are at least three main interoperability challenges a digital infrastructure must address: technological, semantic, and organizational. In recent years, important international programs and initiatives are focusing on such an ambitious objective. This manuscript presents and combines the studies and the experiences carried out by three relevant projects, focusing on the heavy metal domain: Global Mercury Observation System, Global Earth Observation System of Systems (GEOSS), and INSPIRE. This research work recognized a valuable interoperability service bus (i.e., a set of standards models, interfaces, and good practices) proposed to characterize the integrative research cyber-infrastructure of the heavy metal research community. In the paper, the GEOSS common infrastructure is discussed implementing a multidisciplinary and participatory research infrastructure, introducing a possible roadmap for the heavy metal pollution research community to join GEOSS as a new Group on Earth Observation community of practice and develop a research infrastructure for carrying out integrative research in its specific domain.

A common type system for clinical natural language processing

PubMed Central

2013-01-01

Background One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowable data structures. Therefore, we aim to define a common type system for clinical NLP that enables interoperability between structured and unstructured data generated in different clinical settings. Results We describe a common type system for clinical NLP that has an end target of deep semantics based on Clinical Element Models (CEMs), thus interoperating with structured data and accommodating diverse NLP approaches. The type system has been implemented in UIMA (Unstructured Information Management Architecture) and is fully functional in a popular open-source clinical NLP system, cTAKES (clinical Text Analysis and Knowledge Extraction System) versions 2.0 and later. Conclusions We have created a type system that targets deep semantics, thereby allowing for NLP systems to encapsulate knowledge from text and share it alongside heterogenous clinical data sources. Rather than surface semantics that are typically the end product of NLP algorithms, CEM-based semantics explicitly build in deep clinical semantics as the point of interoperability with more structured data types. PMID:23286462

Lemnos interoperable security project.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Halbgewachs, Ronald D.

2010-03-01

With the Lemnos framework, interoperability of control security equipment is straightforward. To obtain interoperability between proprietary security appliance units, one or both vendors must now write cumbersome 'translation code.' If one party changes something, the translation code 'breaks.' The Lemnos project is developing and testing a framework that uses widely available security functions and protocols like IPsec - to form a secure communications channel - and Syslog, to exchange security log messages. Using this model, security appliances from two or more different vendors can clearly and securely exchange information, helping to better protect the total system. Simplify regulatory compliance inmore » a complicated security environment by leveraging the Lemnos framework. As an electric utility, are you struggling to implement the NERC CIP standards and other regulations? Are you weighing the misery of multiple management interfaces against committing to a ubiquitous single-vendor solution? When vendors build their security appliances to interoperate using the Lemnos framework, it becomes practical to match best-of-breed offerings from an assortment of vendors to your specific control systems needs. The Lemnos project is developing and testing a framework that uses widely available open-source security functions and protocols like IPsec and Syslog to create a secure communications channel between appliances in order to exchange security data.« less

A common type system for clinical natural language processing.

PubMed

Wu, Stephen T; Kaggal, Vinod C; Dligach, Dmitriy; Masanz, James J; Chen, Pei; Becker, Lee; Chapman, Wendy W; Savova, Guergana K; Liu, Hongfang; Chute, Christopher G

2013-01-03

One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowable data structures. Therefore, we aim to define a common type system for clinical NLP that enables interoperability between structured and unstructured data generated in different clinical settings. We describe a common type system for clinical NLP that has an end target of deep semantics based on Clinical Element Models (CEMs), thus interoperating with structured data and accommodating diverse NLP approaches. The type system has been implemented in UIMA (Unstructured Information Management Architecture) and is fully functional in a popular open-source clinical NLP system, cTAKES (clinical Text Analysis and Knowledge Extraction System) versions 2.0 and later. We have created a type system that targets deep semantics, thereby allowing for NLP systems to encapsulate knowledge from text and share it alongside heterogenous clinical data sources. Rather than surface semantics that are typically the end product of NLP algorithms, CEM-based semantics explicitly build in deep clinical semantics as the point of interoperability with more structured data types.

Watershed and Economic Data InterOperability (WEDO)??

EPA Science Inventory

The annual public meeting of the Federal Interagency Steering Committee on Multimedia Environmental Modeling (ISCMEM) will convene to discuss some of the latest developments in environmental modeling applications, tools and frameworks, as well as new operational initiatives for F...

GEOCAB Portal: A gateway for discovering and accessing capacity building resources in Earth Observation

NASA Astrophysics Data System (ADS)

Desconnets, Jean-Christophe; Giuliani, Gregory; Guigoz, Yaniss; Lacroix, Pierre; Mlisa, Andiswa; Noort, Mark; Ray, Nicolas; Searby, Nancy D.

2017-02-01

The discovery of and access to capacity building resources are often essential to conduct environmental projects based on Earth Observation (EO) resources, whether they are Earth Observation products, methodological tools, techniques, organizations that impart training in these techniques or even projects that have shown practical achievements. Recognizing this opportunity and need, the European Commission through two FP7 projects jointly with the Group on Earth Observations (GEO) teamed up with the Committee on Earth observation Satellites (CEOS). The Global Earth Observation CApacity Building (GEOCAB) portal aims at compiling all current capacity building efforts on the use of EO data for societal benefits into an easily updateable and user-friendly portal. GEOCAB offers a faceted search to improve user discovery experience with a fully interactive world map with all inventoried projects and activities. This paper focuses on the conceptual framework used to implement the underlying platform. An ISO19115 metadata model associated with a terminological repository are the core elements that provide a semantic search application and an interoperable discovery service. The organization and the contribution of different user communities to ensure the management and the update of the content of GEOCAB are addressed.

Publication, discovery and interoperability of Clinical Decision Support Systems: A Linked Data approach.

PubMed

Marco-Ruiz, Luis; Pedrinaci, Carlos; Maldonado, J A; Panziera, Luca; Chen, Rong; Bellika, J Gustav

2016-08-01

The high costs involved in the development of Clinical Decision Support Systems (CDSS) make it necessary to share their functionality across different systems and organizations. Service Oriented Architectures (SOA) have been proposed to allow reusing CDSS by encapsulating them in a Web service. However, strong barriers in sharing CDS functionality are still present as a consequence of lack of expressiveness of services' interfaces. Linked Services are the evolution of the Semantic Web Services paradigm to process Linked Data. They aim to provide semantic descriptions over SOA implementations to overcome the limitations derived from the syntactic nature of Web services technologies. To facilitate the publication, discovery and interoperability of CDS services by evolving them into Linked Services that expose their interfaces as Linked Data. We developed methods and models to enhance CDS SOA as Linked Services that define a rich semantic layer based on machine interpretable ontologies that powers their interoperability and reuse. These ontologies provided unambiguous descriptions of CDS services properties to expose them to the Web of Data. We developed models compliant with Linked Data principles to create a semantic representation of the components that compose CDS services. To evaluate our approach we implemented a set of CDS Linked Services using a Web service definition ontology. The definitions of Web services were linked to the models developed in order to attach unambiguous semantics to the service components. All models were bound to SNOMED-CT and public ontologies (e.g. Dublin Core) in order to count on a lingua franca to explore them. Discovery and analysis of CDS services based on machine interpretable models was performed reasoning over the ontologies built. Linked Services can be used effectively to expose CDS services to the Web of Data by building on current CDS standards. This allows building shared Linked Knowledge Bases to provide machine interpretable semantics to the CDS service description alleviating the challenges on interoperability and reuse. Linked Services allow for building 'digital libraries' of distributed CDS services that can be hosted and maintained in different organizations. Copyright © 2016 Elsevier Inc. All rights reserved.

Interoperability of Information Systems Managed and Used by the Local Health Departments

PubMed Central

Leider, Jonathon P.; Luo, Huabin; Kaur, Ravneet

2016-01-01

Background: In the post-Affordable Care Act era marked by interorganizational collaborations and availability of large amounts of electronic data from other community partners, it is imperative to assess the interoperability of information systems used by the local health departments (LHDs). Objectives: To describe the level of interoperability of LHD information systems and identify factors associated with lack of interoperability. Data and Methods: This mixed-methods research uses data from the 2015 Informatics Capacity and Needs Assessment Survey, with a target population of all LHDs in the United States. A representative sample of 650 LHDs was drawn using a stratified random sampling design. A total of 324 completed responses were received (50% response rate). Qualitative data were used from a key informant interview study of LHD informatics staff from across the United States. Qualitative data were independently coded by 2 researchers and analyzed thematically. Survey data were cleaned, bivariate comparisons were conducted, and a multivariable logistic regression was run to characterize factors associated with interoperability. Results: For 30% of LHDs, no systems were interoperable, and 38% of LHD respondents indicated some of the systems were interoperable. Significant determinants of interoperability included LHDs having leadership support (adjusted odds ratio [AOR] = 3.54), control of information technology budget allocation (AOR = 2.48), control of data systems (AOR = 2.31), having a strategic plan for information systems (AOR = 1.92), and existence of business process analysis and redesign (AOR = 1.49). Conclusion: Interoperability of all systems may be an informatics goal, but only a small proportion of LHDs reported having interoperable systems, pointing to a substantial need among LHDs nationwide. PMID:27684616

Approaching semantic interoperability in Health Level Seven

PubMed Central

Alschuler, Liora

2010-01-01

‘Semantic Interoperability’ is a driving objective behind many of Health Level Seven's standards. The objective in this paper is to take a step back, and consider what semantic interoperability means, assess whether or not it has been achieved, and, if not, determine what concrete next steps can be taken to get closer. A framework for measuring semantic interoperability is proposed, using a technique called the ‘Single Logical Information Model’ framework, which relies on an operational definition of semantic interoperability and an understanding that interoperability improves incrementally. Whether semantic interoperability tomorrow will enable one computer to talk to another, much as one person can talk to another person, is a matter for speculation. It is assumed, however, that what gets measured gets improved, and in that spirit this framework is offered as a means to improvement. PMID:21106995

Towards semantic interoperability for electronic health records.

PubMed

Garde, Sebastian; Knaup, Petra; Hovenga, Evelyn; Heard, Sam

2007-01-01

In the field of open electronic health records (EHRs), openEHR as an archetype-based approach is being increasingly recognised. It is the objective of this paper to shortly describe this approach, and to analyse how openEHR archetypes impact on health professionals and semantic interoperability. Analysis of current approaches to EHR systems, terminology and standards developments. In addition to literature reviews, we organised face-to-face and additional telephone interviews and tele-conferences with members of relevant organisations and committees. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability -- both important prerequisites for semantic interoperability. Archetypes enable the formal definition of clinical content by clinicians. To enable comprehensive semantic interoperability, the development and maintenance of archetypes needs to be coordinated internationally and across health professions. Domain knowledge governance comprises a set of processes that enable the creation, development, organisation, sharing, dissemination, use and continuous maintenance of archetypes. It needs to be supported by information technology. To enable EHRs, semantic interoperability is essential. The openEHR archetypes approach enables syntactic interoperability and semantic interpretability. However, without coordinated archetype development and maintenance, 'rank growth' of archetypes would jeopardize semantic interoperability. We therefore believe that openEHR archetypes and domain knowledge governance together create the knowledge environment required to adopt EHRs.

Content Model Use and Development to Redeem Thin Section Records

NASA Astrophysics Data System (ADS)

Hills, D. J.

2014-12-01

The National Geothermal Data System (NGDS) is a catalog of documents and datasets that provide information about geothermal resources located primarily within the United States. The goal of NGDS is to make large quantities of geothermal-relevant geoscience data available to the public by creating a national, sustainable, distributed, and interoperable network of data providers. The Geological Survey of Alabama (GSA) has been a data provider in the initial phase of NGDS. One method by which NGDS facilitates interoperability is through the use of content models. Content models provide a schema (structure) for submitted data. Schemas dictate where and how data should be entered. Content models use templates that simplify data formatting to expedite use by data providers. These methodologies implemented by NGDS can extend beyond geothermal data to all geoscience data. The GSA, using the NGDS physical samples content model, has tested and refined a content model for thin sections and thin section photos. Countless thin sections have been taken from oil and gas well cores housed at the GSA, and many of those thin sections have related photomicrographs. Record keeping for these thin sections has been scattered at best, and it is critical to capture their metadata while the content creators are still available. A next step will be to register the GSA's thin sections with SESAR (System for Earth Sample Registration) and assign an IGSN (International Geo Sample Number) to each thin section. Additionally, the thin section records will be linked to the GSA's online record database. When complete, the GSA's thin sections will be more readily discoverable and have greater interoperability. Moving forward, the GSA is implementing use of NGDS-like content models and registration with SESAR and IGSN to improve collection maintenance and management of additional physical samples.

Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis.

PubMed

Moreno-Conde, Alberto; Moner, David; Cruz, Wellington Dimas da; Santos, Marcelo R; Maldonado, José Alberto; Robles, Montserrat; Kalra, Dipak

2015-07-01

This systematic review aims to identify and compare the existing processes and methodologies that have been published in the literature for defining clinical information models (CIMs) that support the semantic interoperability of electronic health record (EHR) systems. Following the preferred reporting items for systematic reviews and meta-analyses systematic review methodology, the authors reviewed published papers between 2000 and 2013 that covered that semantic interoperability of EHRs, found by searching the PubMed, IEEE Xplore, and ScienceDirect databases. Additionally, after selection of a final group of articles, an inductive content analysis was done to summarize the steps and methodologies followed in order to build CIMs described in those articles. Three hundred and seventy-eight articles were screened and thirty six were selected for full review. The articles selected for full review were analyzed to extract relevant information for the analysis and characterized according to the steps the authors had followed for clinical information modeling. Most of the reviewed papers lack a detailed description of the modeling methodologies used to create CIMs. A representative example is the lack of description related to the definition of terminology bindings and the publication of the generated models. However, this systematic review confirms that most clinical information modeling activities follow very similar steps for the definition of CIMs. Having a robust and shared methodology could improve their correctness, reliability, and quality. Independently of implementation technologies and standards, it is possible to find common patterns in methods for developing CIMs, suggesting the viability of defining a unified good practice methodology to be used by any clinical information modeler. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

The Health Service Bus: an architecture and case study in achieving interoperability in healthcare.

PubMed

Ryan, Amanda; Eklund, Peter

2010-01-01

Interoperability in healthcare is a requirement for effective communication between entities, to ensure timely access to up to-date patient information and medical knowledge, and thus facilitate consistent patient care. An interoperability framework called the Health Service Bus (HSB), based on the Enterprise Service Bus (ESB) middleware software architecture is presented here as a solution to all three levels of interoperability as defined by the HL7 EHR Interoperability Work group in their definitive white paper "Coming to Terms". A prototype HSB system was implemented based on the Mule Open-Source ESB and is outlined and discussed, followed by a clinically-based example.

The role of architecture and ontology for interoperability.

PubMed

Blobel, Bernd; González, Carolina; Oemig, Frank; Lopéz, Diego; Nykänen, Pirkko; Ruotsalainen, Pekka

2010-01-01

Turning from organization-centric to process-controlled or even to personalized approaches, advanced healthcare settings have to meet special interoperability challenges. eHealth and pHealth solutions must assure interoperability between actors cooperating to achieve common business objectives. Hereby, the interoperability chain also includes individually tailored technical systems, but also sensors and actuators. For enabling corresponding pervasive computing and even autonomic computing, individualized systems have to be based on an architecture framework covering many domains, scientifically managed by specialized disciplines using their specific ontologies in a formalized way. Therefore, interoperability has to advance from a communication protocol to an architecture-centric approach mastering ontology coordination challenges.

Building a portable data and information interoperability infrastructure-framework for a standard Taiwan Electronic Medical Record Template.

PubMed

Jian, Wen-Shan; Hsu, Chien-Yeh; Hao, Te-Hui; Wen, Hsyien-Chia; Hsu, Min-Huei; Lee, Yen-Liang; Li, Yu-Chuan; Chang, Polun

2007-11-01

Traditional electronic health record (EHR) data are produced from various hospital information systems. They could not have existed independently without an information system until the incarnation of XML technology. The interoperability of a healthcare system can be divided into two dimensions: functional interoperability and semantic interoperability. Currently, no single EHR standard exists that provides complete EHR interoperability. In order to establish a national EHR standard, we developed a set of local EHR templates. The Taiwan Electronic Medical Record Template (TMT) is a standard that aims to achieve semantic interoperability in EHR exchanges nationally. The TMT architecture is basically composed of forms, components, sections, and elements. Data stored in the elements which can be referenced by the code set, data type, and narrative block. The TMT was established with the following requirements in mind: (1) transformable to international standards; (2) having a minimal impact on the existing healthcare system; (3) easy to implement and deploy, and (4) compliant with Taiwan's current laws and regulations. The TMT provides a basis for building a portable, interoperable information infrastructure for EHR exchange in Taiwan.

The MADE Reference Information Model for Interoperable Pervasive Telemedicine Systems.

PubMed

Fung, Nick L S; Jones, Valerie M; Hermens, Hermie J

2017-03-23

The main objective is to develop and validate a reference information model (RIM) to support semantic interoperability of pervasive telemedicine systems. The RIM is one component within a larger, computer-interpretable "MADE language" developed by the authors in the context of the MobiGuide project. To validate our RIM, we applied it to a clinical guideline for patients with gestational diabetes mellitus (GDM). The RIM is derived from a generic data flow model of disease management which comprises a network of four types of concurrent processes: Monitoring (M), Analysis (A), Decision (D) and Effectuation (E). This resulting MADE RIM, which was specified using the formal Vienna Development Method (VDM), includes six main, high-level data types representing measurements, observations, abstractions, action plans, action instructions and control instructions. The authors applied the MADE RIM to the complete GDM guideline and derived from it a domain information model (DIM) comprising 61 archetypes, specifically 1 measurement, 8 observation, 10 abstraction, 18 action plan, 3 action instruction and 21 control instruction archetypes. It was observed that there are six generic patterns for transforming different guideline elements into MADE archetypes, although a direct mapping does not exist in some cases. Most notable examples are notifications to the patient and/or clinician as well as decision conditions which pertain to specific stages in the therapy. The results provide evidence that the MADE RIM is suitable for modelling clinical data in the design of pervasive telemedicine systems. Together with the other components of the MADE language, the MADE RIM supports development of pervasive telemedicine systems that are interoperable and independent of particular clinical applications.

System and methods of resource usage using an interoperable management framework

DOE Office of Scientific and Technical Information (OSTI.GOV)

Heileman, Gregory L.; Jamkhedkar, Pramod A.; Lamb, Christopher C.

Generic rights expression language allowing interoperability across different computing environments including resource usage of different applications. A formal framework for usage management provides scaffolding upon which interoperable usage management systems can be built. Certain features of the framework are standardized, such as the operational semantics, including areas free of standards that necessitate choice and innovation to achieve a balance of flexibility and usability for interoperability in usage management systems.

Information Management Challenges in Achieving Coalition Interoperability

DTIC Science & Technology

2001-12-01

by J. Dyer SESSION I: ARCHITECTURES AND STANDARDS: FUNDAMENTAL ISSUES Chairman: Dr I. WHITE (UK) Planning for Interoperability 1 by W.M. Gentleman...framework – a crucial step toward achieving coalition C4I interoperability. TOPICS TO BE COVERED: 1 ) Maintaining secure interoperability 2) Command...d’une coalition. SUJETS À EXAMINER : 1 ) Le maintien d’une interopérabilité sécurisée 2) Les interfaces des systèmes de commandement : 2a

Space Network Interoperability Panel (SNIP) study

NASA Technical Reports Server (NTRS)

Ryan, Thomas; Lenhart, Klaus; Hara, Hideo

1991-01-01

The Space Network Interoperability Panel (SNIP) study is a tripartite study that involves the National Aeronautics and Space Administration (NASA), the European Space Agency (ESA), and the National Space Development Agency (NASDA) of Japan. SNIP involves an ongoing interoperability study of the Data Relay Satellite (DRS) Systems of the three organizations. The study is broken down into two parts; Phase one deals with S-band (2 GHz) interoperability and Phase two deals with Ka-band (20/30 GHz) interoperability (in addition to S-band). In 1987 the SNIP formed a Working Group to define and study operations concepts and technical subjects to assure compatibility of the international data relay systems. Since that time a number of Panel and Working Group meetings have been held to continue the study. Interoperability is of interest to the three agencies because it offers a number of potential operation and economic benefits. This paper presents the history and status of the SNIP study.

Phoenix Robotic Arm Rasp

NASA Image and Video Library

2008-07-15

This photograph shows the rasp protruding from the back of the scoop on NASA Phoenix Mars Lander Robotic Arm engineering model in the Payload Interoperability Testbed at the University of Arizona, Tucson.

NASA's Earth Science Gateway: A Platform for Interoperable Services in Support of the GEOSS Architecture

NASA Astrophysics Data System (ADS)

Alameh, N.; Bambacus, M.; Cole, M.

2006-12-01

Nasa's Earth Science as well as interdisciplinary research and applications activities require access to earth observations, analytical models and specialized tools and services, from diverse distributed sources. Interoperability and open standards for geospatial data access and processing greatly facilitate such access among the information and processing compo¬nents related to space¬craft, airborne, and in situ sensors; predictive models; and decision support tools. To support this mission, NASA's Geosciences Interoperability Office (GIO) has been developing the Earth Science Gateway (ESG; online at http://esg.gsfc.nasa.gov) by adapting and deploying a standards-based commercial product. Thanks to extensive use of open standards, ESG can tap into a wide array of online data services, serve a variety of audiences and purposes, and adapt to technology and business changes. Most importantly, the use of open standards allow ESG to function as a platform within a larger context of distributed geoscience processing, such as the Global Earth Observing System of Systems (GEOSS). ESG shares the goals of GEOSS to ensure that observations and products shared by users will be accessible, comparable, and understandable by relying on common standards and adaptation to user needs. By maximizing interoperability, modularity, extensibility and scalability, ESG's architecture fully supports the stated goals of GEOSS. As such, ESG's role extends beyond that of a gateway to NASA science data to become a shared platform that can be leveraged by GEOSS via: A modular and extensible architecture Consensus and community-based standards (e.g. ISO and OGC standards) A variety of clients and visualization techniques, including WorldWind and Google Earth A variety of services (including catalogs) with standard interfaces Data integration and interoperability Mechanisms for user involvement and collaboration Mechanisms for supporting interdisciplinary and domain-specific applications ESG has played a key role in recent GEOSS Service Network (GSN) demos and workshops, acting not only as a service and data catalog and discovery client, but also as a portrayal and visualization client to distributed data.

Implementing Interoperability in the Seafood Industry: Learning from Experiences in Other Sectors.

PubMed

Bhatt, Tejas; Gooch, Martin; Dent, Benjamin; Sylvia, Gilbert

2017-08-01

Interoperability of communication and information technologies within and between businesses operating along supply chains is being pursued and implemented in numerous industries worldwide to increase the efficiency and effectiveness of operations. The desire for greater interoperability is also driven by the need to reduce business risk through more informed management decisions. Interoperability is achieved by the development of a technology architecture that guides the design and implementation of communication systems existing within individual businesses and between businesses comprising the supply chain. Technology architectures are developed through a purposeful dialogue about why the architecture is required, the benefits and opportunities that the architecture offers the industry, and how the architecture will translate into practical results. An assessment of how the finance, travel, and health industries and a sector of the food industry-fresh produce-have implemented interoperability was conducted to identify lessons learned that can aid the development of interoperability in the seafood industry. The findings include identification of the need for strong, effective governance during the establishment and operation of an interoperability initiative to ensure the existence of common protocols and standards. The resulting insights were distilled into a series of principles for enabling syntactic and semantic interoperability in any industry, which we summarize in this article. Categorized as "structural," "operational," and "integrative," the principles describe requirements and solutions that are pivotal to enabling businesses to create and capture value from full chain interoperability. The principles are also fundamental to allowing governments and advocacy groups to use traceability for public good. © 2017 Institute of Food Technologists®.

In vivo evaluation of inter-operator reproducibility of digital dental and conventional impression techniques.

PubMed

Kamimura, Emi; Tanaka, Shinpei; Takaba, Masayuki; Tachi, Keita; Baba, Kazuyoshi

2017-01-01

The aim of this study was to evaluate and compare the inter-operator reproducibility of three-dimensional (3D) images of teeth captured by a digital impression technique to a conventional impression technique in vivo. Twelve participants with complete natural dentition were included in this study. A digital impression of the mandibular molars of these participants was made by two operators with different levels of clinical experience, 3 or 16 years, using an intra-oral scanner (Lava COS, 3M ESPE). A silicone impression also was made by the same operators using the double mix impression technique (Imprint3, 3M ESPE). Stereolithography (STL) data were directly exported from the Lava COS system, while STL data of a plaster model made from silicone impression were captured by a three-dimensional (3D) laboratory scanner (D810, 3shape). The STL datasets recorded by two different operators were compared using 3D evaluation software and superimposed using the best-fit-algorithm method (least-squares method, PolyWorks, InnovMetric Software) for each impression technique. Inter-operator reproducibility as evaluated by average discrepancies of corresponding 3D data was compared between the two techniques (Wilcoxon signed-rank test). The visual inspection of superimposed datasets revealed that discrepancies between repeated digital impression were smaller than observed with silicone impression. Confirmation was forthcoming from statistical analysis revealing significantly smaller average inter-operator reproducibility using a digital impression technique (0.014± 0.02 mm) than when using a conventional impression technique (0.023 ± 0.01 mm). The results of this in vivo study suggest that inter-operator reproducibility with a digital impression technique may be better than that of a conventional impression technique and is independent of the clinical experience of the operator.

Experimenting with C2 Applications and Federated Infrastructures for Integrated Full-Spectrum Operational Environments in Support of Collaborative Planning and Interoperable Execution

DTIC Science & Technology

2004-06-01

Situation Understanding) Common Operational Pictures Planning & Decision Support Capabilities Message & Order Processing Common Operational...Pictures Planning & Decision Support Capabilities Message & Order Processing Common Languages & Data Models Modeling & Simulation Domain

Entity Modeling and Immersive Decision Environments

DTIC Science & Technology

2011-09-01

Simulation Technologies (REST) Lerman, D. J. (2010). Correct Weather Modeling of non-Standard Days (10F- SIW -004). In Proceedings of 2010 Fall Simulation...Interoperability Workshop (Fall SIW ) SISO. Orlando, FL: SISO. Most flight simulators compute and fly in a weather environment that matches a

OWL-based reasoning methods for validating archetypes.

PubMed

Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2013-04-01

Some modern Electronic Healthcare Record (EHR) architectures and standards are based on the dual model-based architecture, which defines two conceptual levels: reference model and archetype model. Such architectures represent EHR domain knowledge by means of archetypes, which are considered by many researchers to play a fundamental role for the achievement of semantic interoperability in healthcare. Consequently, formal methods for validating archetypes are necessary. In recent years, there has been an increasing interest in exploring how semantic web technologies in general, and ontologies in particular, can facilitate the representation and management of archetypes, including binding to terminologies, but no solution based on such technologies has been provided to date to validate archetypes. Our approach represents archetypes by means of OWL ontologies. This permits to combine the two levels of the dual model-based architecture in one modeling framework which can also integrate terminologies available in OWL format. The validation method consists of reasoning on those ontologies to find modeling errors in archetypes: incorrect restrictions over the reference model, non-conformant archetype specializations and inconsistent terminological bindings. The archetypes available in the repositories supported by the openEHR Foundation and the NHS Connecting for Health Program, which are the two largest publicly available ones, have been analyzed with our validation method. For such purpose, we have implemented a software tool called Archeck. Our results show that around 1/5 of archetype specializations contain modeling errors, the most common mistakes being related to coded terms and terminological bindings. The analysis of each repository reveals that different patterns of errors are found in both repositories. This result reinforces the need for making serious efforts in improving archetype design processes. Copyright © 2012 Elsevier Inc. All rights reserved.

Validating archetypes for the Multiple Sclerosis Functional Composite.

PubMed

Braun, Michael; Brandt, Alexander Ulrich; Schulz, Stefan; Boeker, Martin

2014-08-03

Numerous information models for electronic health records, such as openEHR archetypes are available. The quality of such clinical models is important to guarantee standardised semantics and to facilitate their interoperability. However, validation aspects are not regarded sufficiently yet. The objective of this report is to investigate the feasibility of archetype development and its community-based validation process, presuming that this review process is a practical way to ensure high-quality information models amending the formal reference model definitions. A standard archetype development approach was applied on a case set of three clinical tests for multiple sclerosis assessment: After an analysis of the tests, the obtained data elements were organised and structured. The appropriate archetype class was selected and the data elements were implemented in an iterative refinement process. Clinical and information modelling experts validated the models in a structured review process. Four new archetypes were developed and publicly deployed in the openEHR Clinical Knowledge Manager, an online platform provided by the openEHR Foundation. Afterwards, these four archetypes were validated by domain experts in a team review. The review was a formalised process, organised in the Clinical Knowledge Manager. Both, development and review process turned out to be time-consuming tasks, mostly due to difficult selection processes between alternative modelling approaches. The archetype review was a straightforward team process with the goal to validate archetypes pragmatically. The quality of medical information models is crucial to guarantee standardised semantic representation in order to improve interoperability. The validation process is a practical way to better harmonise models that diverge due to necessary flexibility left open by the underlying formal reference model definitions.This case study provides evidence that both community- and tool-enabled review processes, structured in the Clinical Knowledge Manager, ensure archetype quality. It offers a pragmatic but feasible way to reduce variation in the representation of clinical information models towards a more unified and interoperable model.

Validating archetypes for the Multiple Sclerosis Functional Composite

PubMed Central

2014-01-01

Background Numerous information models for electronic health records, such as openEHR archetypes are available. The quality of such clinical models is important to guarantee standardised semantics and to facilitate their interoperability. However, validation aspects are not regarded sufficiently yet. The objective of this report is to investigate the feasibility of archetype development and its community-based validation process, presuming that this review process is a practical way to ensure high-quality information models amending the formal reference model definitions. Methods A standard archetype development approach was applied on a case set of three clinical tests for multiple sclerosis assessment: After an analysis of the tests, the obtained data elements were organised and structured. The appropriate archetype class was selected and the data elements were implemented in an iterative refinement process. Clinical and information modelling experts validated the models in a structured review process. Results Four new archetypes were developed and publicly deployed in the openEHR Clinical Knowledge Manager, an online platform provided by the openEHR Foundation. Afterwards, these four archetypes were validated by domain experts in a team review. The review was a formalised process, organised in the Clinical Knowledge Manager. Both, development and review process turned out to be time-consuming tasks, mostly due to difficult selection processes between alternative modelling approaches. The archetype review was a straightforward team process with the goal to validate archetypes pragmatically. Conclusions The quality of medical information models is crucial to guarantee standardised semantic representation in order to improve interoperability. The validation process is a practical way to better harmonise models that diverge due to necessary flexibility left open by the underlying formal reference model definitions. This case study provides evidence that both community- and tool-enabled review processes, structured in the Clinical Knowledge Manager, ensure archetype quality. It offers a pragmatic but feasible way to reduce variation in the representation of clinical information models towards a more unified and interoperable model. PMID:25087081

A Conceptual Framework to Enhance the Interoperability of Observatories among Countries, Continents and the World

NASA Astrophysics Data System (ADS)

Loescher, H.; Fundamental Instrument Unit

2013-05-01

Ecological research addresses challenges relating to the dynamics of the planet, such as changes in climate, biodiversity, ecosystem functioning and services, carbon and energy cycles, natural and human-induced hazards, and adaptation and mitigation strategies that involve many science and engineering disciplines and cross national boundaries. Because of the global nature of these challenges, greater international collaboration is required for knowledge sharing and technology deployment to advance earth science investigations and enhance societal benefits. For example, the Working Group on Biodiversity Preservation and Ecosystem Services (PCAST 2011) noted the scale and complexity of the physical and human resources needed to address these challenges. Many of the most pressing ecological research questions require global-scale data and global scale solutions (Suresh 2012), e.g., interdisciplinary data access from data centers managing ecological resources and hazards, drought, heat islands, carbon cycle, or data used to forecast the rate of spread of invasive species or zoonotic diseases. Variability and change at one location or in one region may well result from the superposition of global processes coupled together with regional and local modes of variability. For example, we know the El Niño-Southern Oscillation large-scale modes of variability in the coupled terrestrial-aquatic-atmospheric systems' correlation with variability in regional rainfall and ecosystem functions. It is therefore a high priority of government and non-government organizations to develop the necessary large scale, world-class research infrastructures for environmental research—and the framework by which these data can be shared, discovered, and utilized by a broad user community of scientists and policymakers, alike. Given that there are many, albeit nascent, efforts to build new environmental observatories/networks globally (e.g., EU-ICOS, EU-Lifewatch, AU-TERN, China-CERN, GEOSS, GEO-BON, NutNet, etc.) and domestically, (e.g., NSF-CZO, USDA-LTAR, DOE-NGEE, Soil Carbon Network, etc.), there is a strong and mutual desire to assure interoperability of data. Developing interoperability is the degree by which each of the following is mapped between observatories (entities), defined by linking i) science requirements with science questions, ii) traceability of measurements to nationally and internationally accepted standards, iii) how data product are derived, i.e., algorithms, procedures, and methods, and iv) the bioinformatics which broadly include data formats, metadata, controlled vocabularies, and semantics. Here, we explore the rationale and focus areas for interoperability, the governance and work structures, example projects (NSF-NEON, EU-ICOS, and AU-TERN), and the emergent roles of scientists in these endeavors.

Impact of coalition interoperability on PKI

NASA Astrophysics Data System (ADS)

Krall, Edward J.

2003-07-01

This paper examines methods for providing PKI interoperability among units of a coalition of armed forces drawn from different nations. The area in question is tactical identity management, for the purposes of confidentiality, integrity and non-repudiation in such a dynamic coalition. The interoperating applications under consideration range from email and other forms of store-and-forward messaging to TLS and IPSEC-protected real-time communications. Six interoperability architectures are examined with advantages and disadvantages of each described in the paper.

Telemedicine system interoperability architecture: concept description and architecture overview.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Craft, Richard Layne, II

2004-05-01

In order for telemedicine to realize the vision of anywhere, anytime access to care, it must address the question of how to create a fully interoperable infrastructure. This paper describes the reasons for pursuing interoperability, outlines operational requirements that any interoperability approach needs to consider, proposes an abstract architecture for meeting these needs, identifies candidate technologies that might be used for rendering this architecture, and suggests a path forward that the telemedicine community might follow.

Developing a 3D Road Cadastral System: Comparing Legal Requirements and User Needs

NASA Astrophysics Data System (ADS)

Gristina, S.; Ellul, C.; Scianna, A.

2016-10-01

Road transport has always played an important role in a country's growth and, in order to manage road networks and ensure a high standard of road performance (e.g. durability, efficiency and safety), both public and private road inventories have been implemented using databases and Geographical Information Systems. They enable registering and managing significant amounts of different road information, but to date do not focus on 3D road information, data integration and interoperability. In an increasingly complex 3D urban environment, and in the age of smart cities, however, applications including intelligent transport systems, mobility and traffic management, road maintenance and safety require digital data infrastructures to manage road data: thus new inventories based on integrated 3D road models (queryable, updateable and shareable on line) are required. This paper outlines the first step towards the implementation of 3D GIS-based road inventories. Focusing on the case study of the "Road Cadastre" (the Italian road inventory as established by law), it investigates current limitations and required improvements, and also compares the required data structure imposed by cadastral legislation with real road users' needs. The study aims to: a) determine whether 3D GIS would improve road cadastre (for better management of data through the complete life-cycle infrastructure projects); b) define a conceptual model for a 3D road cadastre for Italy (whose general principles may be extended also to other countries).

Big Geo Data Services: From More Bytes to More Barrels

NASA Astrophysics Data System (ADS)

Misev, Dimitar; Baumann, Peter

2016-04-01

The data deluge is affecting the oil and gas industry just as much as many other industries. However, aside from the sheer volume there is the challenge of data variety, such as regular and irregular grids, multi-dimensional space/time grids, point clouds, and TINs and other meshes. A uniform conceptualization for modelling and serving them could save substantial effort, such as the proverbial "department of reformatting". The notion of a coverage actually can accomplish this. Its abstract model in ISO 19123 together with the concrete, interoperable OGC Coverage Implementation Schema (CIS), which is currently under adoption as ISO 19123-2, provieds a common platform for representing any n-D grid type, point clouds, and general meshes. This is paired by the OGC Web Coverage Service (WCS) together with its datacube analytics language, the OGC Web Coverage Processing Service (WCPS). The OGC WCS Core Reference Implementation, rasdaman, relies on Array Database technology, i.e. a NewSQL/NoSQL approach. It supports the grid part of coverages, with installations of 100+ TB known and single queries parallelized across 1,000+ cloud nodes. Recent research attempts to address the point cloud and mesh part through a unified query model. The Holy Grail envisioned is that these approaches can be merged into a single service interface at some time. We present both grid amd point cloud / mesh approaches and discuss status, implementation, standardization, and research perspectives, including a live demo.

Semantic Repositories for eGovernment Initiatives: Integrating Knowledge and Services

NASA Astrophysics Data System (ADS)

Palmonari, Matteo; Viscusi, Gianluigi

In recent years, public sector investments in eGovernment initiatives have depended on making more reliable existing governmental ICT systems and infrastructures. Furthermore, we assist at a change in the focus of public sector management, from the disaggregation, competition and performance measurements typical of the New Public Management (NPM), to new models of governance, aiming for the reintegration of services under a new perspective in bureaucracy, namely a holistic approach to policy making which exploits the extensive digitalization of administrative operations. In this scenario, major challenges are related to support effective access to information both at the front-end level, by means of highly modular and customizable content provision, and at the back-end level, by means of information integration initiatives. Repositories of information about data and services that exploit semantic models and technologies can support these goals by bridging the gap between the data-level representations and the human-level knowledge involved in accessing information and in searching for services. Moreover, semantic repository technologies can reach a new level of automation for different tasks involved in interoperability programs, both related to data integration techniques and service-oriented computing approaches. In this chapter, we discuss the above topics by referring to techniques and experiences where repositories based on conceptual models and ontologies are used at different levels in eGovernment initiatives: at the back-end level to produce a comprehensive view of the information managed in the public administrations' (PA) information systems, and at the front-end level to support effective service delivery.

47 CFR 0.192 - Emergency Response Interoperability Center.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 47 Telecommunication 1 2014-10-01 2014-10-01 false Emergency Response Interoperability Center. 0.192 Section 0.192 Telecommunication FEDERAL COMMUNICATIONS COMMISSION GENERAL COMMISSION ORGANIZATION Organization Public Safety and Homeland Security Bureau § 0.192 Emergency Response Interoperability Center. (a...

47 CFR 0.192 - Emergency Response Interoperability Center.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 47 Telecommunication 1 2013-10-01 2013-10-01 false Emergency Response Interoperability Center. 0.192 Section 0.192 Telecommunication FEDERAL COMMUNICATIONS COMMISSION GENERAL COMMISSION ORGANIZATION Organization Public Safety and Homeland Security Bureau § 0.192 Emergency Response Interoperability Center. (a...

47 CFR 0.192 - Emergency Response Interoperability Center.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 47 Telecommunication 1 2011-10-01 2011-10-01 false Emergency Response Interoperability Center. 0.192 Section 0.192 Telecommunication FEDERAL COMMUNICATIONS COMMISSION GENERAL COMMISSION ORGANIZATION Organization Public Safety and Homeland Security Bureau § 0.192 Emergency Response Interoperability Center. (a...

Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination.

PubMed

Doiron, Dany; Marcon, Yannick; Fortier, Isabel; Burton, Paul; Ferretti, Vincent

2017-10-01

Improving the dissemination of information on existing epidemiological studies and facilitating the interoperability of study databases are essential to maximizing the use of resources and accelerating improvements in health. To address this, Maelstrom Research proposes Opal and Mica, two inter-operable open-source software packages providing out-of-the-box solutions for epidemiological data management, harmonization and dissemination. Opal and Mica are two standalone but inter-operable web applications written in Java, JavaScript and PHP. They provide web services and modern user interfaces to access them. Opal allows users to import, manage, annotate and harmonize study data. Mica is used to build searchable web portals disseminating study and variable metadata. When used conjointly, Mica users can securely query and retrieve summary statistics on geographically dispersed Opal servers in real-time. Integration with the DataSHIELD approach allows conducting more complex federated analyses involving statistical models. Opal and Mica are open-source and freely available at [www.obiba.org] under a General Public License (GPL) version 3, and the metadata models and taxonomies that accompany them are available under a Creative Commons licence. © The Author 2017; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association

Promoting A-Priori Interoperability of HLA-Based Simulations in the Space Domain: The SISO Space Reference FOM Initiative

NASA Technical Reports Server (NTRS)

Moller, Bjorn; Garro, Alfredo; Falcone, Alberto; Crues, Edwin Z.; Dexter, Daniel E.

2016-01-01

Distributed and Real-Time Simulation plays a key-role in the Space domain being exploited for missions and systems analysis and engineering as well as for crew training and operational support. One of the most popular standards is the 1516-2010 IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA). HLA supports the implementation of distributed simulations (called Federations) in which a set of simulation entities (called Federates) can interact using a Run-Time Infrastructure (RTI). In a given Federation, a Federate can publish and/or subscribes objects and interactions on the RTI only in accordance with their structures as defined in a FOM (Federation Object Model). Currently, the Space domain is characterized by a set of incompatible FOMs that, although meet the specific needs of different organizations and projects, increases the long-term cost for interoperability. In this context, the availability of a reference FOM for the Space domain will enable the development of interoperable HLA-based simulators for related joint projects and collaborations among worldwide organizations involved in the Space domain (e.g. NASA, ESA, Roscosmos, and JAXA). The paper presents a first set of results achieved by a SISO standardization effort that aims at providing a Space Reference FOM for international collaboration on Space systems simulations.

Hearing Device Manufacturers Call for Interoperability and Standardization of Internet and Audiology.

PubMed

Laplante-Lévesque, Ariane; Abrams, Harvey; Bülow, Maja; Lunner, Thomas; Nelson, John; Riis, Søren Kamaric; Vanpoucke, Filiep

2016-10-01

This article describes the perspectives of hearing device manufacturers regarding the exciting developments that the Internet makes possible. Specifically, it proposes to join forces toward interoperability and standardization of Internet and audiology. A summary of why such a collaborative effort is required is provided from historical and scientific perspectives. A roadmap toward interoperability and standardization is proposed. Information and communication technologies improve the flow of health care data and pave the way to better health care. However, hearing-related products, features, and services are notoriously heterogeneous and incompatible with other health care systems (no interoperability). Standardization is the process of developing and implementing technical standards (e.g., Noah hearing database). All parties involved in interoperability and standardization realize mutual gains by making mutually consistent decisions. De jure (officially endorsed) standards can be developed in collaboration with large national health care systems as well as spokespeople for hearing care professionals and hearing device users. The roadmap covers mutual collaboration; data privacy, security, and ownership; compliance with current regulations; scalability and modularity; and the scope of interoperability and standards. We propose to join forces to pave the way to the interoperable Internet and audiology products, features, and services that the world needs.

Reflections on the role of open source in health information system interoperability.

PubMed

Sfakianakis, S; Chronaki, C E; Chiarugi, F; Conforti, F; Katehakis, D G

2007-01-01

This paper reflects on the role of open source in health information system interoperability. Open source is a driving force in computer science research and the development of information systems. It facilitates the sharing of information and ideas, enables evolutionary development and open collaborative testing of code, and broadens the adoption of interoperability standards. In health care, information systems have been developed largely ad hoc following proprietary specifications and customized design. However, the wide deployment of integrated services such as Electronic Health Records (EHRs) over regional health information networks (RHINs) relies on interoperability of the underlying information systems and medical devices. This reflection is built on the experiences of the PICNIC project that developed shared software infrastructure components in open source for RHINs and the OpenECG network that offers open source components to lower the implementation cost of interoperability standards such as SCP-ECG, in electrocardiography. Open source components implementing standards and a community providing feedback from real-world use are key enablers of health care information system interoperability. Investing in open source is investing in interoperability and a vital aspect of a long term strategy towards comprehensive health services and clinical research.

Inter-operator Reliability of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine.

PubMed

Martin, Bryn A; Yiallourou, Theresia I; Pahlavian, Soroush Heidari; Thyagaraj, Suraj; Bunck, Alexander C; Loth, Francis; Sheffer, Daniel B; Kröger, Jan Robert; Stergiopulos, Nikolaos

2016-05-01

For the first time, inter-operator dependence of MRI based computational fluid dynamics (CFD) modeling of cerebrospinal fluid (CSF) in the cervical spinal subarachnoid space (SSS) is evaluated. In vivo MRI flow measurements and anatomy MRI images were obtained at the cervico-medullary junction of a healthy subject and a Chiari I malformation patient. 3D anatomies of the SSS were reconstructed by manual segmentation by four independent operators for both cases. CFD results were compared at nine axial locations along the SSS in terms of hydrodynamic and geometric parameters. Intraclass correlation (ICC) assessed the inter-operator agreement for each parameter over the axial locations and coefficient of variance (CV) compared the percentage of variance for each parameter between the operators. Greater operator dependence was found for the patient (0.19 < ICC < 0.99) near the craniovertebral junction compared to the healthy subject (ICC > 0.78). For the healthy subject, hydraulic diameter and Womersley number had the least variance (CV = ~2%). For the patient, peak diastolic velocity and Reynolds number had the smallest variance (CV = ~3%). These results show a high degree of inter-operator reliability for MRI-based CFD simulations of CSF flow in the cervical spine for healthy subjects and a lower degree of reliability for patients with Type I Chiari malformation.

Inter-Operator Dependence of Magnetic Resonance Image-Based Computational Fluid Dynamics Prediction of Cerebrospinal Fluid Motion in the Cervical Spine

PubMed Central

Martin, Bryn A.; Yiallourou, Theresia I.; Pahlavian, Soroush Heidari; Thyagaraj, Suraj; Bunck, Alexander C.; Loth, Francis; Sheffer, Daniel B.; Kröger, Jan Robert; Stergiopulos, Nikolaos

2015-01-01

For the first time, inter-operator dependence of MRI based computational fluid dynamics (CFD) modeling of cerebrospinal fluid (CSF) in the cervical spinal subarachnoid space (SSS) is evaluated. In vivo MRI flow measurements and anatomy MRI images were obtained at the cervico-medullary junction of a healthy subject and a Chiari I malformation patient. 3D anatomies of the SSS were reconstructed by manual segmentation by four independent operators for both cases. CFD results were compared at nine axial locations along the SSS in terms of hydrodynamic and geometric parameters. Intraclass correlation (ICC) assessed the inter-operator agreement for each parameter over the axial locations and coefficient of variance (CV) compared the percentage of variance for each parameter between the operators. Greater operator dependence was found for the patient (0.19 0.78). For the healthy subject, hydraulic diameter and Womersley number had the least variance (CV= ~2%). For the patient, peak diastolic velocity and Reynolds number had the smallest variance (CV= ~3%). These results show a high degree of inter-operator reliability for MRI-based CFD simulations of CSF flow in the cervical spine for healthy subjects and a lower degree of reliability for patients with Type I Chiari malformation. PMID:26446009

Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development

PubMed Central

2016-01-01

Background Contributing to health informatics research means using conceptual models that are integrative and explain the research in terms of the two broad domains of health science and information science. However, it can be hard for novice health informatics researchers to find exemplars and guidelines in working with integrative conceptual models. Objectives The aim of this paper is to support the use of integrative conceptual models in research on information and communication technologies in the health sector, and to encourage discussion of these conceptual models in scholarly forums. Methods A two-part method was used to summarize and structure ideas about how to work effectively with conceptual models in health informatics research that included (1) a selective review and summary of the literature of conceptual models; and (2) the construction of a step-by-step approach to developing a conceptual model. Results The seven-step methodology for developing conceptual models in health informatics research explained in this paper involves (1) acknowledging the limitations of health science and information science conceptual models; (2) giving a rationale for one’s choice of integrative conceptual model; (3) explicating a conceptual model verbally and graphically; (4) seeking feedback about the conceptual model from stakeholders in both the health science and information science domains; (5) aligning a conceptual model with an appropriate research plan; (6) adapting a conceptual model in response to new knowledge over time; and (7) disseminating conceptual models in scholarly and scientific forums. Conclusions Making explicit the conceptual model that underpins a health informatics research project can contribute to increasing the number of well-formed and strongly grounded health informatics research projects. This explication has distinct benefits for researchers in training, research teams, and researchers and practitioners in information, health, and other disciplines. PMID:26912288

Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development.

PubMed

Gray, Kathleen; Sockolow, Paulina

2016-02-24

Contributing to health informatics research means using conceptual models that are integrative and explain the research in terms of the two broad domains of health science and information science. However, it can be hard for novice health informatics researchers to find exemplars and guidelines in working with integrative conceptual models. The aim of this paper is to support the use of integrative conceptual models in research on information and communication technologies in the health sector, and to encourage discussion of these conceptual models in scholarly forums. A two-part method was used to summarize and structure ideas about how to work effectively with conceptual models in health informatics research that included (1) a selective review and summary of the literature of conceptual models; and (2) the construction of a step-by-step approach to developing a conceptual model. The seven-step methodology for developing conceptual models in health informatics research explained in this paper involves (1) acknowledging the limitations of health science and information science conceptual models; (2) giving a rationale for one's choice of integrative conceptual model; (3) explicating a conceptual model verbally and graphically; (4) seeking feedback about the conceptual model from stakeholders in both the health science and information science domains; (5) aligning a conceptual model with an appropriate research plan; (6) adapting a conceptual model in response to new knowledge over time; and (7) disseminating conceptual models in scholarly and scientific forums. Making explicit the conceptual model that underpins a health informatics research project can contribute to increasing the number of well-formed and strongly grounded health informatics research projects. This explication has distinct benefits for researchers in training, research teams, and researchers and practitioners in information, health, and other disciplines.

Enabling complex queries to drug information sources through functional composition.

PubMed

Peters, Lee; Mortensen, Jonathan; Nguyen, Thang; Bodenreider, Olivier

2013-01-01

Our objective was to enable an end-user to create complex queries to drug information sources through functional composition, by creating sequences of functions from application program interfaces (API) to drug terminologies. The development of a functional composition model seeks to link functions from two distinct APIs. An ontology was developed using Protégé to model the functions of the RxNorm and NDF-RT APIs by describing the semantics of their input and output. A set of rules were developed to define the interoperable conditions for functional composition. The operational definition of interoperability between function pairs is established by executing the rules on the ontology. We illustrate that the functional composition model supports common use cases, including checking interactions for RxNorm drugs and deploying allergy lists defined in reference to drug properties in NDF-RT. This model supports the RxMix application (http://mor.nlm.nih.gov/RxMix/), an application we developed for enabling complex queries to the RxNorm and NDF-RT APIs.

77 FR 67815 - Federal Advisory Committee Act; Communications Security, Reliability, and Interoperability Council

Federal Register 2010, 2011, 2012, 2013, 2014

2012-11-14

..., Reliability, and Interoperability Council AGENCY: Federal Communications Commission. ACTION: Notice of public... persons that the Federal Communications Commission's (FCC) Communications Security, Reliability, and... the security, reliability, and interoperability of communications systems. On March 19, 2011, the FCC...

Amanzi: An Open-Source Multi-process Simulator for Environmental Applications

NASA Astrophysics Data System (ADS)

Moulton, J. D.; Molins, S.; Johnson, J. N.; Coon, E.; Lipnikov, K.; Day, M.; Barker, E.

2014-12-01

The Advanced Simulation Capabililty for Environmental Management (ASCEM) program is developing an approach and open-source tool suite for standardized risk and performance assessments at legacy nuclear waste sites. These assessments begin with simplified models, and add geometric and geologic complexity as understanding is gained. The Platform toolsets (Akuna) generates these conceptual models and Amanzi provides the computational engine to perform the simulations, returning the results for analysis and visualization. In this presentation we highlight key elements of the design, algorithms and implementations used in Amanzi. In particular, the hierarchical and modular design is aligned with the coupled processes being sumulated, and naturally supports a wide range of model complexity. This design leverages a dynamic data manager and the synergy of two graphs (one from the high-level perspective of the models the other from the dependencies of the variables in the model) to enable this flexible model configuration at run time. Moreover, to model sites with complex hydrostratigraphy, as well as engineered systems, we are developing a dual unstructured/structured capability. Recently, these capabilities have been collected in a framework named Arcos, and efforts have begun to improve interoperability between the unstructured and structured AMR approaches in Amanzi. To leverage a range of biogeochemistry capability from the community (e.g., CrunchFlow, PFLOTRAN, etc.), a biogeochemistry interface library was developed called Alquimia. To ensure that Amanzi is truly an open-source community code we require a completely open-source tool chain for our development. We will comment on elements of this tool chain, including the testing and documentation development tools such as docutils, and Sphinx. Finally, we will show simulation results from our phased demonstrations, including the geochemically complex Savannah River F-Area seepage basins.

Can openEHR archetypes be used in a national context? The Danish archetype proof-of-concept project.

PubMed

Bernstein, Knut; Tvede, Ida; Petersen, Jan; Bredegaard, Kirsten

2009-01-01

Semantic interoperability and secondary use of data are important informatics challenges in modern healthcare. Connected Digital Health Denmark is investigating if the openEHR reference model, archetypes and templates could be used for representing and exchanging clinical content specification and could become a candidate for a national logical infrastructure for semantic interoperability. The Danish archetype proof-of-concept project has tried out some elements of the openEHR methodology in cooperation with regions and vendors. The project has pointed out benefits and challenges using archetypes, and has identified barriers that need to be addressed in the next steps.

Interoperable PKI Data Distribution in Computational Grids

DOE Office of Scientific and Technical Information (OSTI.GOV)

Pala, Massimiliano; Cholia, Shreyas; Rea, Scott A.

One of the most successful working examples of virtual organizations, computational grids need authentication mechanisms that inter-operate across domain boundaries. Public Key Infrastructures(PKIs) provide sufficient flexibility to allow resource managers to securely grant access to their systems in such distributed environments. However, as PKIs grow and services are added to enhance both security and usability, users and applications must struggle to discover available resources-particularly when the Certification Authority (CA) is alien to the relying party. This article presents how to overcome these limitations of the current grid authentication model by integrating the PKI Resource Query Protocol (PRQP) into the Gridmore » Security Infrastructure (GSI).« less

The value of health care information exchange and interoperability.

PubMed

Walker, Jan; Pan, Eric; Johnston, Douglas; Adler-Milstein, Julia; Bates, David W; Middleton, Blackford

2005-01-01

In this paper we assess the value of electronic health care information exchange and interoperability (HIEI) between providers (hospitals and medical group practices) and independent laboratories, radiology centers, pharmacies, payers, public health departments, and other providers. We have created an HIEI taxonomy and combined published evidence with expert opinion in a cost-benefit model. Fully standardized HIEI could yield a net value of dollar 77.8 billion per year once fully implemented. Nonstandardized HIEI offers smaller positive financial returns. The clinical impact of HIEI for which quantitative estimates cannot yet be made would likely add further value. A compelling business case exists for national implementation of fully standardized HIEI.

The Benefits and Future of Standards: Metadata and Beyond

NASA Astrophysics Data System (ADS)

Stracke, Christian M.

This article discusses the benefits and future of standards and presents the generic multi-dimensional Reference Model. First the importance and the tasks of interoperability as well as quality development and their relationship are analyzed. Especially in e-Learning their connection and interdependence is evident: Interoperability is one basic requirement for quality development. In this paper, it is shown how standards and specifications are supporting these crucial issues. The upcoming ISO metadata standard MLR (Metadata for Learning Resource) will be introduced and used as example for identifying the requirements and needs for future standardization. In conclusion a vision of the challenges and potentials for e-Learning standardization is outlined.

UAS Integration in the NAS Project: DAA-TCAS Interoperability "mini" HITL Primary Results

NASA Technical Reports Server (NTRS)

Rorie, Conrad; Fern, Lisa; Shively, Jay; Santiago, Confesor

2016-01-01

At the May 2015 SC-228 meeting, requirements for TCAS II interoperability became elevated in priority. A TCAS interoperability workgroup was formed to identify and address key issues/questions. The TCAS workgroup came up with an initial list of questions and a plan to address those questions. As part of that plan, NASA proposed to run a mini HITL to address display, alerting and guidance issues. A TCAS Interoperability Workshop was held to determine potential display/alerting/guidance issues that could be explored in future NASA mini HITLS. Consensus on main functionality of DAA guidance when TCAS II RA occurs. Prioritized list of independent variables for experimental design. Set of use cases to stress TCAS Interoperability.

An Ontological Solution to Support Interoperability in the Textile Industry

NASA Astrophysics Data System (ADS)

Duque, Arantxa; Campos, Cristina; Jiménez-Ruiz, Ernesto; Chalmeta, Ricardo

Significant developments in information and communication technologies and challenging market conditions have forced enterprises to adapt their way of doing business. In this context, providing mechanisms to guarantee interoperability among heterogeneous organisations has become a critical issue. Even though prolific research has already been conducted in the area of enterprise interoperability, we have found that enterprises still struggle to introduce fully interoperable solutions, especially, in terms of the development and application of ontologies. Thus, the aim of this paper is to introduce basic ontology concepts in a simple manner and to explain the advantages of the use of ontologies to improve interoperability. We will also present a case study showing the implementation of an application ontology for an enterprise in the textile/clothing sector.

77 FR 37001 - Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2012-06-20

... of the Interoperability Services Layer, Attn: Ron Chen, 400 Gigling Road, Seaside, CA 93955. Title; Associated Form; and OMB Number: Interoperability Services Layer; OMB Control Number 0704-TBD. Needs and Uses... INFORMATION: Summary of Information Collection IoLS (Interoperability Layer Services) is an application in a...

The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.

PubMed

He, Yongqun; Xiang, Zuoshuang; Zheng, Jie; Lin, Yu; Overton, James A; Ong, Edison

2018-01-12

Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies developed, it has become critical to ensure ontology interoperability and the usage of interoperable ontologies for standardized data representation and integration. The suite of web-based Ontoanimal tools (e.g., Ontofox, Ontorat, and Ontobee) support different aspects of extensible ontology development. By summarizing the common features of Ontoanimal and other similar tools, we identified and proposed an "eXtensible Ontology Development" (XOD) strategy and its associated four principles. These XOD principles reuse existing terms and semantic relations from reliable ontologies, develop and apply well-established ontology design patterns (ODPs), and involve community efforts to support new ontology development, promoting standardized and interoperable data and knowledge representation and integration. The adoption of the XOD strategy, together with robust XOD tool development, will greatly support ontology interoperability and robust ontology applications to support data to be Findable, Accessible, Interoperable and Reusable (i.e., FAIR).

Personal Health Records: Is Rapid Adoption Hindering Interoperability?

PubMed Central

Studeny, Jana; Coustasse, Alberto

2014-01-01

The establishment of the Meaningful Use criteria has created a critical need for robust interoperability of health records. A universal definition of a personal health record (PHR) has not been agreed upon. Standardized code sets have been built for specific entities, but integration between them has not been supported. The purpose of this research study was to explore the hindrance and promotion of interoperability standards in relationship to PHRs to describe interoperability progress in this area. The study was conducted following the basic principles of a systematic review, with 61 articles used in the study. Lagging interoperability has stemmed from slow adoption by patients, creation of disparate systems due to rapid development to meet requirements for the Meaningful Use stages, and rapid early development of PHRs prior to the mandate for integration among multiple systems. Findings of this study suggest that deadlines for implementation to capture Meaningful Use incentive payments are supporting the creation of PHR data silos, thereby hindering the goal of high-level interoperability. PMID:25214822

To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure

NASA Astrophysics Data System (ADS)

Stock, Kristin; Stojanovic, Tim; Reitsma, Femke; Ou, Yang; Bishr, Mohamed; Ortmann, Jens; Robertson, Anne

2012-08-01

A geospatial knowledge infrastructure consists of a set of interoperable components, including software, information, hardware, procedures and standards, that work together to support advanced discovery and creation of geoscientific resources, including publications, data sets and web services. The focus of the work presented is the development of such an infrastructure for resource discovery. Advanced resource discovery is intended to support scientists in finding resources that meet their needs, and focuses on representing the semantic details of the scientific resources, including the detailed aspects of the science that led to the resource being created. This paper describes an information model for a geospatial knowledge infrastructure that uses ontologies to represent these semantic details, including knowledge about domain concepts, the scientific elements of the resource (analysis methods, theories and scientific processes) and web services. This semantic information can be used to enable more intelligent search over scientific resources, and to support new ways to infer and visualise scientific knowledge. The work describes the requirements for semantic support of a knowledge infrastructure, and analyses the different options for information storage based on the twin goals of semantic richness and syntactic interoperability to allow communication between different infrastructures. Such interoperability is achieved by the use of open standards, and the architecture of the knowledge infrastructure adopts such standards, particularly from the geospatial community. The paper then describes an information model that uses a range of different types of ontologies, explaining those ontologies and their content. The information model was successfully implemented in a working geospatial knowledge infrastructure, but the evaluation identified some issues in creating the ontologies.

AN OVERVIEW OF THE INTEROPERABILITY ROADMAP FOR COM/.NET-BASED CAPE-OPEN

EPA Science Inventory

The CAPE-OPEN standard interfaces have been designed to permit flexibility and modularization of process simulation environments (PMEs) in order to use process modeling components such as unit operation or thermodynamic property models across a range of tolls employed in the life...

Extended Relation Metadata for SCORM-Based Learning Content Management Systems

ERIC Educational Resources Information Center

Lu, Eric Jui-Lin; Horng, Gwoboa; Yu, Chia-Ssu; Chou, Ling-Ying

2010-01-01

To increase the interoperability and reusability of learning objects, Advanced Distributed Learning Initiative developed a model called Content Aggregation Model (CAM) to describe learning objects and express relationships between learning objects. However, the suggested relations defined in the CAM can only describe structure-oriented…

FITS and PDS4: Planetary Surface Data Interoperability Made Easier

NASA Astrophysics Data System (ADS)

Marmo, C.; Hare, T. M.; Erard, S.; Cecconi, B.; Minin, M.; Rossi, A. P.; Costard, F.; Schmidt, F.

2018-04-01

This abstract describes how Flexible Image Transport System (FITS) can be used in planetary surface investigations, and how its metadata can easily be inserted in the PDS4 metadata distribution model.

Ontology driven modeling for the knowledge of genetic susceptibility to disease.

PubMed

Lin, Yu; Sakamoto, Norihiro

2009-05-12

For the machine helped exploring the relationships between genetic factors and complex diseases, a well-structured conceptual framework of the background knowledge is needed. However, because of the complexity of determining a genetic susceptibility factor, there is no formalization for the knowledge of genetic susceptibility to disease, which makes the interoperability between systems impossible. Thus, the ontology modeling language OWL was used for formalization in this paper. After introducing the Semantic Web and OWL language propagated by W3C, we applied text mining technology combined with competency questions to specify the classes of the ontology. Then, an N-ary pattern was adopted to describe the relationships among these defined classes. Based on the former work of OGSF-DM (Ontology of Genetic Susceptibility Factors to Diabetes Mellitus), we formalized the definition of "Genetic Susceptibility", "Genetic Susceptibility Factor" and other classes by using OWL-DL modeling language; and a reasoner automatically performed the classification of the class "Genetic Susceptibility Factor". The ontology driven modeling is used for formalization the knowledge of genetic susceptibility to complex diseases. More importantly, when a class has been completely formalized in an ontology, the OWL reasoning can automatically compute the classification of the class, in our case, the class of "Genetic Susceptibility Factors". With more types of genetic susceptibility factors obtained from the laboratory research, our ontologies always needs to be refined, and many new classes must be taken into account to harmonize with the ontologies. Using the ontologies to develop the semantic web needs to be applied in the future.

77 FR 48153 - Federal Advisory Committee Act; Communications Security, Reliability, and Interoperability Council

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-13

..., Reliability, and Interoperability Council AGENCY: Federal Communications Commission. ACTION: Notice of public..., Reliability, and Interoperability Council (CSRIC) will hold its fifth meeting. The CSRIC will vote on... to the FCC regarding best practices and actions the FCC can take to ensure the security, reliability...

Evaluation of Interoperability Protocols in Repositories of Electronic Theses and Dissertations

ERIC Educational Resources Information Center

Hakimjavadi, Hesamedin; Masrek, Mohamad Noorman

2013-01-01

Purpose: The purpose of this study is to evaluate the status of eight interoperability protocols within repositories of electronic theses and dissertations (ETDs) as an introduction to further studies on feasibility of deploying these protocols in upcoming areas of interoperability. Design/methodology/approach: Three surveys of 266 ETD…

Examining the Relationship between Electronic Health Record Interoperability and Quality Management

ERIC Educational Resources Information Center

Purcell, Bernice M.

2013-01-01

A lack of interoperability impairs data quality among health care providers' electronic health record (EHR) systems. The problem is whether the International Organization for Standardization (ISO) 9000 principles relate to the problem of interoperability in implementation of EHR systems. The purpose of the nonexperimental quantitative research…

Interoperability of Demand Response Resources Demonstration in NY

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wellington, Andre

2014-03-31

The Interoperability of Demand Response Resources Demonstration in NY (Interoperability Project) was awarded to Con Edison in 2009. The objective of the project was to develop and demonstrate methodologies to enhance the ability of customer sited Demand Response resources to integrate more effectively with electric delivery companies and regional transmission organizations.

Reminiscing about 15 years of interoperability efforts

DOE PAGES

Van de Sompel, Herbert; Nelson, Michael L.

2015-11-01

Over the past fifteen years, our perspective on tackling information interoperability problems for web-based scholarship has evolved significantly. In this opinion piece, we look back at three efforts that we have been involved in that aptly illustrate this evolution: OAI-PMH, OAI-ORE, and Memento. Understanding that no interoperability specification is neutral, we attempt to characterize the perspectives and technical toolkits that provided the basis for these endeavors. With that regard, we consider repository-centric and web-centric interoperability perspectives, and the use of a Linked Data or a REST/HATEAOS technology stack, respectively. In addition, we lament the lack of interoperability across nodes thatmore » play a role in web-based scholarship, but end on a constructive note with some ideas regarding a possible path forward.« less

The HDF Product Designer - Interoperability in the First Mile

NASA Astrophysics Data System (ADS)

Lee, H.; Jelenak, A.; Habermann, T.

2014-12-01

Interoperable data have been a long-time goal in many scientific communities. The recent growth in analysis, visualization and mash-up applications that expect data stored in a standardized manner has brought the interoperability issue to the fore. On the other hand, producing interoperable data is often regarded as a sideline task in a typical research team for which resources are not readily available. The HDF Group is developing a software tool aimed at lessening the burden of creating data in standards-compliant, interoperable HDF5 files. The tool, named HDF Product Designer, lowers the threshold needed to design such files by providing a user interface that combines the rich HDF5 feature set with applicable metadata conventions. Users can quickly devise new HDF5 files while at the same time seamlessly incorporating the latest best practices and conventions from their community. That is what the term interoperability in the first mile means: enabling generation of interoperable data in HDF5 files from the onset of their production. The tool also incorporates collaborative features, allowing team approach in the file design, as well as easy transfer of best practices as they are being developed. The current state of the tool and the plans for future development will be presented. Constructive input from interested parties is always welcome.

Potential interoperability problems facing multi-site radiation oncology centers in The Netherlands

NASA Astrophysics Data System (ADS)

Scheurleer, J.; Koken, Ph; Wessel, R.

2014-03-01

Aim: To identify potential interoperability problems facing multi-site Radiation Oncology (RO) departments in the Netherlands and solutions for unambiguous multi-system workflows. Specific challenges confronting the RO department of VUmc (RO-VUmc), which is soon to open a satellite department, were characterized. Methods: A nationwide questionnaire survey was conducted to identify possible interoperability problems and solutions. Further detailed information was obtained by in-depth interviews at 3 Dutch RO institutes that already operate in more than one site. Results: The survey had a 100% response rate (n=21). Altogether 95 interoperability problems were described. Most reported problems were on a strategic and semantic level. The majority were DICOM(-RT) and HL7 related (n=65), primarily between treatment planning and verification systems or between departmental and hospital systems. Seven were identified as being relevant for RO-VUmc. Departments have overcome interoperability problems with their own, or with tailor-made vendor solutions. There was little knowledge about or utilization of solutions developed by Integrating the Healthcare Enterprise Radiation Oncology (IHE-RO). Conclusions: Although interoperability problems are still common, solutions have been identified. Awareness of IHE-RO needs to be raised. No major new interoperability problems are predicted as RO-VUmc develops into a multi-site department.

Leveraging Open Standard Interfaces in Providing Efficient Discovery, Retrieval, and Information of NASA-Sponsored Observations and Predictions

NASA Astrophysics Data System (ADS)

Cole, M.; Alameh, N.; Bambacus, M.

2006-05-01

The Applied Sciences Program at NASA focuses on extending the results of NASA's Earth-Sun system science research beyond the science and research communities to contribute to national priority applications with societal benefits. By employing a systems engineering approach, supporting interoperable data discovery and access, and developing partnerships with federal agencies and national organizations, the Applied Sciences Program facilitates the transition from research to operations in national applications. In particular, the Applied Sciences Program identifies twelve national applications, listed at http://science.hq.nasa.gov/earth-sun/applications/, which can be best served by the results of NASA aerospace research and development of science and technologies. The ability to use and integrate NASA data and science results into these national applications results in enhanced decision support and significant socio-economic benefits for each of the applications. This paper focuses on leveraging the power of interoperability and specifically open standard interfaces in providing efficient discovery, retrieval, and integration of NASA's science research results. Interoperability (the ability to access multiple, heterogeneous geoprocessing environments, either local or remote by means of open and standard software interfaces) can significantly increase the value of NASA-related data by increasing the opportunities to discover, access and integrate that data in the twelve identified national applications (particularly in non-traditional settings). Furthermore, access to data, observations, and analytical models from diverse sources can facilitate interdisciplinary and exploratory research and analysis. To streamline this process, the NASA GeoSciences Interoperability Office (GIO) is developing the NASA Earth-Sun System Gateway (ESG) to enable access to remote geospatial data, imagery, models, and visualizations through open, standard web protocols. The gateway (online at http://esg.gsfc.nasa.gov) acts as a flexible and searchable registry of NASA-related resources (files, services, models, etc) and allows scientists, decision makers and others to discover and retrieve a wide variety of observations and predictions of natural and human phenomena related to Earth Science from NASA and other sources. To support the goals of the Applied Sciences national applications, GIO staff is also working with the national applications communities to identify opportunities where open standards-based discovery and access to NASA data can enhance the decision support process of the national applications. This paper describes the work performed to-date on that front, and summarizes key findings in terms of identified data sources and benefiting national applications. The paper also highlights the challenges encountered in making NASA-related data accessible in a cross-cutting fashion and identifies areas where interoperable approaches can be leveraged.

Leveraging Web Services in Providing Efficient Discovery, Retrieval, and Integration of NASA-Sponsored Observations and Predictions

NASA Astrophysics Data System (ADS)

Bambacus, M.; Alameh, N.; Cole, M.

2006-12-01

The Applied Sciences Program at NASA focuses on extending the results of NASA's Earth-Sun system science research beyond the science and research communities to contribute to national priority applications with societal benefits. By employing a systems engineering approach, supporting interoperable data discovery and access, and developing partnerships with federal agencies and national organizations, the Applied Sciences Program facilitates the transition from research to operations in national applications. In particular, the Applied Sciences Program identifies twelve national applications, listed at http://science.hq.nasa.gov/earth-sun/applications/, which can be best served by the results of NASA aerospace research and development of science and technologies. The ability to use and integrate NASA data and science results into these national applications results in enhanced decision support and significant socio-economic benefits for each of the applications. This paper focuses on leveraging the power of interoperability and specifically open standard interfaces in providing efficient discovery, retrieval, and integration of NASA's science research results. Interoperability (the ability to access multiple, heterogeneous geoprocessing environments, either local or remote by means of open and standard software interfaces) can significantly increase the value of NASA-related data by increasing the opportunities to discover, access and integrate that data in the twelve identified national applications (particularly in non-traditional settings). Furthermore, access to data, observations, and analytical models from diverse sources can facilitate interdisciplinary and exploratory research and analysis. To streamline this process, the NASA GeoSciences Interoperability Office (GIO) is developing the NASA Earth-Sun System Gateway (ESG) to enable access to remote geospatial data, imagery, models, and visualizations through open, standard web protocols. The gateway (online at http://esg.gsfc.nasa.gov) acts as a flexible and searchable registry of NASA-related resources (files, services, models, etc) and allows scientists, decision makers and others to discover and retrieve a wide variety of observations and predictions of natural and human phenomena related to Earth Science from NASA and other sources. To support the goals of the Applied Sciences national applications, GIO staff is also working with the national applications communities to identify opportunities where open standards-based discovery and access to NASA data can enhance the decision support process of the national applications. This paper describes the work performed to-date on that front, and summarizes key findings in terms of identified data sources and benefiting national applications. The paper also highlights the challenges encountered in making NASA-related data accessible in a cross-cutting fashion and identifies areas where interoperable approaches can be leveraged.

Model-Driven Development for PDS4 Software and Services

NASA Astrophysics Data System (ADS)

Hughes, J. S.; Crichton, D. J.; Algermissen, S. S.; Cayanan, M. D.; Joyner, R. S.; Hardman, S. H.; Padams, J. H.

2018-04-01

PDS4 data product labels provide the information necessary for processing the referenced digital object. However, significantly more information is available in the PDS4 Information Model. This additional information is made available for use, by both software and services, to configure, promote resiliency, and improve interoperability.

Integrated care: an Information Model for Patient Safety and Vigilance Reporting Systems.

PubMed

Rodrigues, Jean-Marie; Schulz, Stefan; Souvignet, Julien

2015-01-01

Quality management information systems for safety as a whole or for specific vigilances share the same information types but are not interoperable. An international initiative tries to develop an integrated information model for patient safety and vigilance reporting to support a global approach of heath care quality.

Modeling Educational Content: The Cognitive Approach of the PALO Language

ERIC Educational Resources Information Center

Rodriguez-Artacho, Miguel; Verdejo Maillo, M. Felisa

2004-01-01

This paper presents a reference framework to describe educational material. It introduces the PALO Language as a cognitive based approach to Educational Modeling Languages (EML). In accordance with recent trends for reusability and interoperability in Learning Technologies, EML constitutes an evolution of the current content-centered…

Performance modeling codes for the QuakeSim problem solving environment

NASA Technical Reports Server (NTRS)

Parker, J. W.; Donnellan, A.; Lyzenga, G.; Rundle, J.; Tullis, T.

2003-01-01

The QuakeSim Problem Solving Environment uses a web-services approach to unify and deploy diverse remote data sources and processing services within a browser environment. Here we focus on the high-performance crustal modeling applications that will be included in this set of remote but interoperable applications.

Evaluating Data Clustering Approach for Life-Cycle Facility Control

DTIC Science & Technology

2013-04-01

produce 90% matching accuracy with noise/variations up to 55%. KEYWORDS: Building Information Modelling ( BIM ), machine learning, pattern detection...reconciled to building information model elements and ultimately to an expected resource utilization schedule. The motivation for this integration is to...by interoperable data sources and building information models . Building performance modelling and simulation efforts such as those by Maile et al

On the Execution Control of HLA Federations using the SISO Space Reference FOM

NASA Technical Reports Server (NTRS)

Moller, Bjorn; Garro, Alfredo; Falcone, Alberto; Crues, Edwin Z.; Dexter, Daniel E.

2017-01-01

In the Space domain the High Level Architecture (HLA) is one of the reference standard for Distributed Simulation. However, for the different organizations involved in the Space domain (e.g. NASA, ESA, Roscosmos, and JAXA) and their industrial partners, it is difficult to implement HLA simulators (called Federates) able to interact and interoperate in the context of a distributed HLA simulation (called Federation). The lack of a common FOM (Federation Object Model) for the Space domain is one of the main reasons that precludes a-priori interoperability between heterogeneous federates. To fill this lack a Product Development Group (PDG) has been recently activated in the Simulation Interoperability Standards Organization (SISO) with the aim to provide a Space Reference FOM (SRFOM) for international collaboration on Space systems simulations. Members of the PDG come from several countries and contribute experiences from projects within NASA, ESA and other organizations. Participants represent government, academia and industry. The paper presents an overview of the ongoing Space Reference FOM standardization initiative by focusing on the solution provided for managing the execution of an SRFOM-based Federation.

Reference architecture and interoperability model for data mining and fusion in scientific cross-domain infrastructures

NASA Astrophysics Data System (ADS)

Haener, Rainer; Waechter, Joachim; Grellet, Sylvain; Robida, Francois

2017-04-01

Interoperability is the key factor in establishing scientific research environments and infrastructures, as well as in bringing together heterogeneous, geographically distributed risk management, monitoring, and early warning systems. Based on developments within the European Plate Observing System (EPOS), a reference architecture has been devised that comprises architectural blue-prints and interoperability models regarding the specification of business processes and logic as well as the encoding of data, metadata, and semantics. The architectural blueprint is developed on the basis of the so called service-oriented architecture (SOA) 2.0 paradigm, which combines intelligence and proactiveness of event-driven with service-oriented architectures. SOA 2.0 supports analysing (Data Mining) both, static and real-time data in order to find correlations of disparate information that do not at first appear to be intuitively obvious: Analysed data (e.g., seismological monitoring) can be enhanced with relationships discovered by associating them (Data Fusion) with other data (e.g., creepmeter monitoring), with digital models of geological structures, or with the simulation of geological processes. The interoperability model describes the information, communication (conversations) and the interactions (choreographies) of all participants involved as well as the processes for registering, providing, and retrieving information. It is based on the principles of functional integration, implemented via dedicated services, communicating via service-oriented and message-driven infrastructures. The services provide their functionality via standardised interfaces: Instead of requesting data directly, users share data via services that are built upon specific adapters. This approach replaces the tight coupling at data level by a flexible dependency on loosely coupled services. The main component of the interoperability model is the comprehensive semantic description of the information, business logic and processes on the basis of a minimal set of well-known, established standards. It implements the representation of knowledge with the application of domain-controlled vocabularies to statements about resources, information, facts, and complex matters (ontologies). Seismic experts for example, would be interested in geological models or borehole measurements at a certain depth, based on which it is possible to correlate and verify seismic profiles. The entire model is built upon standards from the Open Geospatial Consortium (Dictionaries, Service Layer), the International Organisation for Standardisation (Registries, Metadata), and the World Wide Web Consortium (Resource Description Framework, Spatial Data on the Web Best Practices). It has to be emphasised that this approach is scalable to the greatest possible extent: All information, necessary in the context of cross-domain infrastructures is referenced via vocabularies and knowledge bases containing statements that provide either the information itself or resources (service-endpoints), the information can be retrieved from. The entire infrastructure communication is subject to a broker-based business logic integration platform where the information exchanged between involved participants, is managed on the basis of standardised dictionaries, repositories, and registries. This approach also enables the development of Systems-of-Systems (SoS), which allow the collaboration of autonomous, large scale concurrent, and distributed systems, yet cooperatively interacting as a collective in a common environment.

HydroShare for iUTAH: Collaborative Publication, Interoperability, and Reuse of Hydrologic Data and Models for a Large, Interdisciplinary Water Research Project

NASA Astrophysics Data System (ADS)

Horsburgh, J. S.; Jones, A. S.

2016-12-01

Data and models used within the hydrologic science community are diverse. New research data and model repositories have succeeded in making data and models more accessible, but have been, in most cases, limited to particular types or classes of data or models and also lack the type of collaborative, and iterative functionality needed to enable shared data collection and modeling workflows. File sharing systems currently used within many scientific communities for private sharing of preliminary and intermediate data and modeling products do not support collaborative data capture, description, visualization, and annotation. More recently, hydrologic datasets and models have been cast as "social objects" that can be published, collaborated around, annotated, discovered, and accessed. Yet it can be difficult using existing software tools to achieve the kind of collaborative workflows and data/model reuse that many envision. HydroShare is a new, web-based system for sharing hydrologic data and models with specific functionality aimed at making collaboration easier and achieving new levels of interactive functionality and interoperability. Within HydroShare, we have developed new functionality for creating datasets, describing them with metadata, and sharing them with collaborators. HydroShare is enabled by a generic data model and content packaging scheme that supports describing and sharing diverse hydrologic datasets and models. Interoperability among the diverse types of data and models used by hydrologic scientists is achieved through the use of consistent storage, management, sharing, publication, and annotation within HydroShare. In this presentation, we highlight and demonstrate how the flexibility of HydroShare's data model and packaging scheme, HydroShare's access control and sharing functionality, and versioning and publication capabilities have enabled the sharing and publication of research datasets for a large, interdisciplinary water research project called iUTAH (innovative Urban Transitions and Aridregion Hydro-sustainability). We discuss the experiences of iUTAH researchers now using HydroShare to collaboratively create, curate, and publish datasets and models in a way that encourages collaboration, promotes reuse, and meets funding agency requirements.

Connected Lighting System Interoperability Study Part 1: Application Programming Interfaces

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gaidon, Clement; Poplawski, Michael

First in a series of studies that focuses on interoperability as realized by the use of Application Programming Interfaces (APIs), explores the diversity of such interfaces in several connected lighting systems; characterizes the extent of interoperability that they provide; and illustrates challenges, limitations, and tradeoffs that were encountered during this exploration.

Functional requirements document for NASA/MSFC Earth Science and Applications Division: Data and information system (ESAD-DIS). Interoperability, 1992

NASA Technical Reports Server (NTRS)

Stephens, J. Briscoe; Grider, Gary W.

1992-01-01

These Earth Science and Applications Division-Data and Information System (ESAD-DIS) interoperability requirements are designed to quantify the Earth Science and Application Division's hardware and software requirements in terms of communications between personal and visualization workstation, and mainframe computers. The electronic mail requirements and local area network (LAN) requirements are addressed. These interoperability requirements are top-level requirements framed around defining the existing ESAD-DIS interoperability and projecting known near-term requirements for both operational support and for management planning. Detailed requirements will be submitted on a case-by-case basis. This document is also intended as an overview of ESAD-DIs interoperability for new-comers and management not familiar with these activities. It is intended as background documentation to support requests for resources and support requirements.

An open repositories network development for medical teaching resources.

PubMed

Soula, Gérard; Darmoni, Stefan; Le Beux, Pierre; Renard, Jean-Marie; Dahamna, Badisse; Fieschi, Marius

2010-01-01

The lack of interoperability between repositories of heterogeneous and geographically widespread data is an obstacle to the diffusion, sharing and reutilization of those data. We present the development of an open repositories network taking into account both the syntactic and semantic interoperability of the different repositories and based on international standards in this field. The network is used by the medical community in France for the diffusion and sharing of digital teaching resources. The syntactic interoperability of the repositories is managed using the OAI-PMH protocol for the exchange of metadata describing the resources. Semantic interoperability is based, on one hand, on the LOM standard for the description of resources and on MESH for the indexing of the latter and, on the other hand, on semantic interoperability management designed to optimize compliance with standards and the quality of the metadata.

Special Topic Interoperability and EHR: Combining openEHR, SNOMED, IHE, and Continua as approaches to interoperability on national eHealth.

PubMed

Beštek, Mate; Stanimirović, Dalibor

2017-08-09

The main aims of the paper comprise the characterization and examination of the potential approaches regarding interoperability. This includes openEHR, SNOMED, IHE, and Continua as combined interoperability approaches, possibilities for their incorporation into the eHealth environment, and identification of the main success factors in the field, which are necessary for achieving required interoperability, and consequently, for the successful implementation of eHealth projects in general. The paper represents an in-depth analysis regarding the potential application of openEHR, SNOMED, IHE and Continua approaches in the development and implementation process of eHealth in Slovenia. The research method used is both exploratory and deductive in nature. The methodological framework is grounded on information retrieval with a special focus on research and charting of existing experience in the field, and sources, both electronic and written, which include interoperability concepts and related implementation issues. The paper will try to answer the following inquiries that are complementing each other: 1. Scrutiny of the potential approaches, which could alleviate the pertinent interoperability issues in the Slovenian eHealth context. 2. Analyzing the possibilities (requirements) for their inclusion in the construction process for individual eHealth solutions. 3. Identification and charting the main success factors in the interoperability field that critically influence development and implementation of eHealth projects in an efficient manner. Provided insights and identified success factors could serve as a constituent of the strategic starting points for continuous integration of interoperability principles into the healthcare domain. Moreover, the general implementation of the identified success factors could facilitate better penetration of ICT into the healthcare environment and enable the eHealth-based transformation of the health system especially in the countries which are still in an early phase of eHealth planning and development and are often confronted with differing interests, requirements, and contending strategies.

Ensuring Sustainable Data Interoperability Across the Natural and Social Sciences

NASA Astrophysics Data System (ADS)

Downs, R. R.; Chen, R. S.

2015-12-01

Both the natural and social science data communities are attempting to address the long-term sustainability of their data infrastructures in rapidly changing research, technological, and policy environments. Many parts of these communities are also considering how to improve the interoperability and integration of their data and systems across natural, social, health, and other domains. However, these efforts have generally been undertaken in parallel, with little thought about how different sustainability approaches may impact long-term interoperability from scientific, legal, or economic perspectives, or vice versa, i.e., how improved interoperability could enhance—or threaten—infrastructure sustainability. Scientific progress depends substantially on the ability to learn from the legacy of previous work available for current and future scientists to study, often by integrating disparate data not previously assembled. Digital data are less likely than scientific publications to be usable in the future unless they are managed by science-oriented repositories that can support long-term data access with the documentation and services needed for future interoperability. We summarize recent discussions in the social and natural science communities on emerging approaches to sustainability and relevant interoperability activities, including efforts by the Belmont Forum E-Infrastructures project to address global change data infrastructure needs; the Group on Earth Observations to further implement data sharing and improve data management across diverse societal benefit areas; and the Research Data Alliance to develop legal interoperability principles and guidelines and to address challenges faced by domain repositories. We also examine emerging needs for data interoperability in the context of the post-2015 development agenda and the expected set of Sustainable Development Goals (SDGs), which set ambitious targets for sustainable development, poverty reduction, and environmental stewardship by 2030. These efforts suggest the need for a holistic approach towards improving and implementing strategies, policies, and practices that will ensure long-term sustainability and interoperability of scientific data repositories and networks across multiple scientific domains.

A Pragmatic Approach to Sustainable Interoperability for the Web 2.0 World

NASA Astrophysics Data System (ADS)

Wright, D. J.; Sankaran, S.

2015-12-01

In the geosciences, interoperability is a fundamental requirement. Members of various standards organizations such as the OGC and ISO-TC 211 have done yeomen services to promote a standards-centric approach to manage the interoperability challenges that organizations face today. The specific challenges that organizations face when adopting interoperability patterns are very many. One approach, that of mandating the use of specific standards has been reasonably successful. But scientific communities, as with all others, ultimately want their solutions to be widely accepted and used. And to this end there is a crying need to explore all possible interoperability patterns without restricting the choices to mandated standards. Standards are created by a slow and deliberative process that sometimes takes a long time to come to fruition and therefore sometime feel to fall short of user expectations. It seems therefore that organizations are left with a series of perceived orthogonal requirements when they want to pursue interoperability. They want a robust but agile solution, a mature approach that also needs to satisfy latest technology trends and so on. Sustainable interoperability patterns need to be forward looking and should choose the patterns and paradigms of the Web 2.0 generation. To this end, the key is to choose platform technologies that embrace multiple interoperability mechanisms that are built on fundamental "open" principles and which align with popular mainstream patterns. We seek to explore data-, metadata- and web service-related interoperability patterns through the prism of building solutions that encourage strong implementer and end-user engagement, improved usability and scalability considerations, and appealing developer frameworks that can grow the audience. The path to tread is not new, and the geocommunity only needs to observe and align its end goals with current Web 2.0 patterns to realize all the benefits that today we all take for granted as part of our everyday use of technology.

Establishing semantic interoperability of biomedical metadata registries using extended semantic relationships.

PubMed

Park, Yu Rang; Yoon, Young Jo; Kim, Hye Hyeon; Kim, Ju Han

2013-01-01

Achieving semantic interoperability is critical for biomedical data sharing between individuals, organizations and systems. The ISO/IEC 11179 MetaData Registry (MDR) standard has been recognized as one of the solutions for this purpose. The standard model, however, is limited. Representing concepts consist of two or more values, for instance, are not allowed including blood pressure with systolic and diastolic values. We addressed the structural limitations of ISO/IEC 11179 by an integrated metadata object model in our previous research. In the present study, we introduce semantic extensions for the model by defining three new types of semantic relationships; dependency, composite and variable relationships. To evaluate our extensions in a real world setting, we measured the efficiency of metadata reduction by means of mapping to existing others. We extracted metadata from the College of American Pathologist Cancer Protocols and then evaluated our extensions. With no semantic loss, one third of the extracted metadata could be successfully eliminated, suggesting better strategy for implementing clinical MDRs with improved efficiency and utility.

Groundwater data network interoperability

USGS Publications Warehouse

Brodaric, Boyan; Booth, Nathaniel; Boisvert, Eric; Lucido, Jessica M.

2016-01-01

Water data networks are increasingly being integrated to answer complex scientific questions that often span large geographical areas and cross political borders. Data heterogeneity is a major obstacle that impedes interoperability within and between such networks. It is resolved here for groundwater data at five levels of interoperability, within a Spatial Data Infrastructure architecture. The result is a pair of distinct national groundwater data networks for the United States and Canada, and a combined data network in which they are interoperable. This combined data network enables, for the first time, transparent public access to harmonized groundwater data from both sides of the shared international border.

Improving Patient Safety with X-Ray and Anesthesia Machine Ventilator Synchronization: A Medical Device Interoperability Case Study

NASA Astrophysics Data System (ADS)

Arney, David; Goldman, Julian M.; Whitehead, Susan F.; Lee, Insup

When a x-ray image is needed during surgery, clinicians may stop the anesthesia machine ventilator while the exposure is made. If the ventilator is not restarted promptly, the patient may experience severe complications. This paper explores the interconnection of a ventilator and simulated x-ray into a prototype plug-and-play medical device system. This work assists ongoing interoperability framework development standards efforts to develop functional and non-functional requirements and illustrates the potential patient safety benefits of interoperable medical device systems by implementing a solution to a clinical use case requiring interoperability.

Report on the Second Catalog Interoperability Workshop

NASA Technical Reports Server (NTRS)

Thieman, James R.; James, Mary E.

1988-01-01

The events, resolutions, and recommendations of the Second Catalog Interoperability Workshop, held at JPL in January, 1988, are discussed. This workshop dealt with the issues of standardization and communication among directories, catalogs, and inventories in the earth and space science data management environment. The Directory Interchange Format, being constructed as a standard for the exchange of directory information among participating data systems, is discussed. Involvement in the Interoperability effort by NASA, NOAA, ISGS, and NSF is described, and plans for future interoperability considered. The NASA Master Directory prototype is presented and critiqued and options for additional capabilities debated.

Integrating Data and Networks: Human Factors

NASA Astrophysics Data System (ADS)

Chen, R. S.

2012-12-01

The development of technical linkages and interoperability between scientific networks is a necessary but not sufficient step towards integrated use and application of networked data and information for scientific and societal benefit. A range of "human factors" must also be addressed to ensure the long-term integration, sustainability, and utility of both the interoperable networks themselves and the scientific data and information to which they provide access. These human factors encompass the behavior of both individual humans and human institutions, and include system governance, a common framework for intellectual property rights and data sharing, consensus on terminology, metadata, and quality control processes, agreement on key system metrics and milestones, the compatibility of "business models" in the short and long term, harmonization of incentives for cooperation, and minimization of disincentives. Experience with several national and international initiatives and research programs such as the International Polar Year, the Group on Earth Observations, the NASA Earth Observing Data and Information System, the U.S. National Spatial Data Infrastructure, the Global Earthquake Model, and the United Nations Spatial Data Infrastructure provide a range of lessons regarding these human factors. Ongoing changes in science, technology, institutions, relationships, and even culture are creating both opportunities and challenges for expanded interoperability of scientific networks and significant improvement in data integration to advance science and the use of scientific data and information to achieve benefits for society as a whole.

Developing an electronic health record (EHR) for methadone treatment recording and decision support

PubMed Central

2011-01-01

Background In this paper, we give an overview of methadone treatment in Ireland and outline the rationale for designing an electronic health record (EHR) with extensibility, interoperability and decision support functionality. Incorporating several international standards, a conceptual model applying a problem orientated approach in a hierarchical structure has been proposed for building the EHR. Methods A set of archetypes has been designed in line with the current best practice and clinical guidelines which guide the information-gathering process. A web-based data entry system has been implemented, incorporating elements of the paper-based prescription form, while at the same time facilitating the decision support function. Results The use of archetypes was found to capture the ever changing requirements in the healthcare domain and externalises them in constrained data structures. The solution is extensible enabling the EHR to cover medicine management in general as per the programme of the HRB Centre for Primary Care Research. Conclusions The data collected via this Irish system can be aggregated into a larger dataset, if necessary, for analysis and evidence-gathering, since we adopted the openEHR standard. It will be later extended to include the functionalities of prescribing drugs other than methadone along with the research agenda at the HRB Centre for Primary Care Research in Ireland. PMID:21284849

Global Health Innovation Technology Models.

PubMed

Harding, Kimberly

2016-01-01

Chronic technology and business process disparities between High Income, Low Middle Income and Low Income (HIC, LMIC, LIC) research collaborators directly prevent the growth of sustainable Global Health innovation for infectious and rare diseases. There is a need for an Open Source-Open Science Architecture Framework to bridge this divide. We are proposing such a framework for consideration by the Global Health community, by utilizing a hybrid approach of integrating agnostic Open Source technology and healthcare interoperability standards and Total Quality Management principles. We will validate this architecture framework through our programme called Project Orchid. Project Orchid is a conceptual Clinical Intelligence Exchange and Virtual Innovation platform utilizing this approach to support clinical innovation efforts for multi-national collaboration that can be locally sustainable for LIC and LMIC research cohorts. The goal is to enable LIC and LMIC research organizations to accelerate their clinical trial process maturity in the field of drug discovery, population health innovation initiatives and public domain knowledge networks. When sponsored, this concept will be tested by 12 confirmed clinical research and public health organizations in six countries. The potential impact of this platform is reduced drug discovery and public health innovation lag time and improved clinical trial interventions, due to reliable clinical intelligence and bio-surveillance across all phases of the clinical innovation process.

Global Health Innovation Technology Models

PubMed Central

Harding, Kimberly

2016-01-01

Chronic technology and business process disparities between High Income, Low Middle Income and Low Income (HIC, LMIC, LIC) research collaborators directly prevent the growth of sustainable Global Health innovation for infectious and rare diseases. There is a need for an Open Source-Open Science Architecture Framework to bridge this divide. We are proposing such a framework for consideration by the Global Health community, by utilizing a hybrid approach of integrating agnostic Open Source technology and healthcare interoperability standards and Total Quality Management principles. We will validate this architecture framework through our programme called Project Orchid. Project Orchid is a conceptual Clinical Intelligence Exchange and Virtual Innovation platform utilizing this approach to support clinical innovation efforts for multi-national collaboration that can be locally sustainable for LIC and LMIC research cohorts. The goal is to enable LIC and LMIC research organizations to accelerate their clinical trial process maturity in the field of drug discovery, population health innovation initiatives and public domain knowledge networks. When sponsored, this concept will be tested by 12 confirmed clinical research and public health organizations in six countries. The potential impact of this platform is reduced drug discovery and public health innovation lag time and improved clinical trial interventions, due to reliable clinical intelligence and bio-surveillance across all phases of the clinical innovation process.

Cardea: Providing Support for Dynamic Resource Access in a Distributed Computing Environment

NASA Technical Reports Server (NTRS)

Lepro, Rebekah

2003-01-01

The environment framing the modem authorization process span domains of administration, relies on many different authentication sources, and manages complex attributes as part of the authorization process. Cardea facilitates dynamic access control within this environment as a central function of an inter-operable authorization framework. The system departs from the traditional authorization model by separating the authentication and authorization processes, distributing the responsibility for authorization data and allowing collaborating domains to retain control over their implementation mechanisms. Critical features of the system architecture and its handling of the authorization process differentiate the system from existing authorization components by addressing common needs not adequately addressed by existing systems. Continuing system research seeks to enhance the implementation of the current authorization model employed in Cardea, increase the robustness of current features, further the framework for establishing trust and promote interoperability with existing security mechanisms.

An approach for the semantic interoperability of ISO EN 13606 and OpenEHR archetypes.

PubMed

Martínez-Costa, Catalina; Menárguez-Tortosa, Marcos; Fernández-Breis, Jesualdo Tomás

2010-10-01

The communication between health information systems of hospitals and primary care organizations is currently an important challenge to improve the quality of clinical practice and patient safety. However, clinical information is usually distributed among several independent systems that may be syntactically or semantically incompatible. This fact prevents healthcare professionals from accessing clinical information of patients in an understandable and normalized way. In this work, we address the semantic interoperability of two EHR standards: OpenEHR and ISO EN 13606. Both standards follow the dual model approach which distinguishes information and knowledge, this being represented through archetypes. The solution presented here is capable of transforming OpenEHR archetypes into ISO EN 13606 and vice versa by combining Semantic Web and Model-driven Engineering technologies. The resulting software implementation has been tested using publicly available collections of archetypes for both standards.

Profiling Fast Healthcare Interoperability Resources (FHIR) of Family Health History based on the Clinical Element Models.

PubMed

Lee, Jaehoon; Hulse, Nathan C; Wood, Grant M; Oniki, Thomas A; Huff, Stanley M

2016-01-01

In this study we developed a Fast Healthcare Interoperability Resources (FHIR) profile to support exchanging a full pedigree based family health history (FHH) information across multiple systems and applications used by clinicians, patients, and researchers. We used previously developed clinical element models (CEMs) that are capable of representing the FHH information, and derived essential data elements including attributes, constraints, and value sets. We analyzed gaps between the FHH CEM elements and existing FHIR resources. Based on the analysis, we developed a profile that consists of 1) FHIR resources for essential FHH data elements, 2) extensions for additional elements that were not covered by the resources, and 3) a structured definition to integrate patient and family member information in a FHIR message. We implemented the profile using an open-source based FHIR framework and validated it using patient-entered FHH data that was captured through a locally developed FHH tool.

OAI and NASA's Scientific and Technical Information

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Rocker, JoAnne; Harrison, Terry L.

2002-01-01

The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is an evolving protocol and philosophy regarding interoperability for digital libraries (DLs). Previously, "distributed searching" models were popular for DL interoperability. However, experience has shown distributed searching systems across large numbers of DLs to be difficult to maintain in an Internet environment. The OAI-PMH is a move away from distributed searching, focusing on the arguably simpler model of "metadata harvesting". We detail NASA s involvement in defining and testing the OAI-PMH and experience to date with adapting existing NASA distributed searching DLs (such as the NASA Technical Report Server) to use the OAI-PMH and metadata harvesting. We discuss some of the entirely new DL projects that the OAI-PMH has made possible, such as the Technical Report Interchange project. We explain the strategic importance of the OAI-PMH to the mission of NASA s Scientific and Technical Information Program.

An interoperability experiment for sharing hydrological rating tables

NASA Astrophysics Data System (ADS)

Lemon, D.; Taylor, P.; Sheahan, P.

2013-12-01

The increasing demand on freshwater resources is requiring authorities to produce more accurate and timely estimates of their available water. Calculation of continuous time-series of river discharge and storage volumes generally requires rating tables. These approximate relationships between two phenomena, such as river level and discharge, and allow us to produce continuous estimates of a phenomenon that may be impractical or impossible to measure directly. Standardised information models or access mechanisms for rating tables are required to support sharing and exchange of water flow data. An Interoperability Experiment (IE) is underway to test an information model that describes rating tables, the observations made to build these ratings, and river cross-section data. The IE is an initiative of the joint World Meteorological Organisation/Open Geospatial Consortium's Hydrology Domain Working Group (HydroDWG) and the model will be published as WaterML2.0 part 2. Interoperability Experiments (IEs) are low overhead, multiple member projects that are run under the OGC's interoperability program to test existing and emerging standards. The HydroDWG has previously run IEs to test early versions of OGC WaterML2.0 part 1 - timeseries. This IE is focussing on two key exchange scenarios: Sharing rating tables and gauging observations between water agencies. Through the use of standard OGC web services, rating tables and associated data will be made available from water agencies. The (Australian) Bureau of Meteorology will retrieve rating tables on-demand from water authorities, allowing the Bureau to run conversions of data within their own systems. Exposing rating tables and gaugings for online analysis and educational purposes. A web client will be developed to enable exploration and visualization of rating tables, gaugings and related metadata for monitoring points. The client gives a quick view into available rating tables, their periods of applicability and the standard deviation of observations against the relationship. An example of this client running can be seen at the link provided. The result of the IE will form the basis for the standardisation of WaterML2.0 part 2. The use of the standard will lead to increased transparency and accessibility of rating tables, while also improving general understanding of this important hydrological concept.

Re-use of standard ontologies in a water quality vocabulary (Invited)

NASA Astrophysics Data System (ADS)

Cox, S. J.; Simons, B.; Yu, J.

2013-12-01

Observations provide the key constraints on environmental and earth science investigations. Where an investigation uses data sourced from multiple providers, data fusion depends on the observation classifications being comparable. Standard models for observation metadata are available (ISO 19156) which provide slots for key classifiers, in particular, the observed property and observation procedure. While universal use of common vocabularies might be desirable in achieving interoperability, this is unlikely in practice. However, semantic web vocabularies provide the means for asserting proximity and other relationships between items in different vocabularies, thus enabling mediation as an interoperability solution. Here we report on the development of a vocabulary for water quality observations in which recording relationships with existing vocabularies was a core strategy. The vocabulary is required to enable combination of a number of groundwater, surface water and marine water quality datasets on an ongoing basis. Our vocabulary model is based on the principle that observations generally report values of specific parameters which are defined by combining a number of facets. We start from Quantities, Units, Dimensions and Data Types (QUDT), which is an OWL ontology developed by NASA and TopQuadrant. We extend this with two additional classes, for Observed Property and Identified Object, and two linking properties, which enable us to create an observed property vocabulary for water quality applications. This ontology is comparable with models for observed properties developed as part of OGC's Observations and Measurements v1.0 standard, the INSPIRE Generic Conceptual Model, and may also be compared with the W3C SSN Ontology, which is based on the DOLCE Ultralite upper-ontology. Water quality observations commonly report concentrations of chemicals, both natural and contaminant, so we tie many of the Identified Objects to items from Chemical Entities of Biological Interest (ChEBI). ChEBI is an OWL-based dictionary of over 70 000 molecular entities, based on existing scientific work and linked through to International Union of Pure and Applied Chemistry (IUPAC) Nomenclature. Within the model the relevant classes, including those from QUDT, are declared to be subclasses of SKOS Concept, so the resulting vocabularies may be directly mapped to other SKOS-based vocabularies, such as from the NERC Vocabulary Service or the Marine Metadata Initiative, using SKOS predicates. Where the external vocabularies are not published with persistent URIs, such as CUAHSI, the mapping may be recorded more informally using annotations, or use proxy URIs for the external vocabulary. The resulting SKOS vocabularies demonstrate a separation of governance of key definitions such as units and quantities and chemical entities, ensuring reuse where possible and extending and adding detail where necessary.

NetCDF-CF-OPeNDAP: Standards for ocean data interoperability and object lessons for community data standards processes

USGS Publications Warehouse

Hankin, Steven C.; Blower, Jon D.; Carval, Thierry; Casey, Kenneth S.; Donlon, Craig; Lauret, Olivier; Loubrieu, Thomas; Srinivasan, Ashwanth; Trinanes, Joaquin; Godøy, Øystein; Mendelssohn, Roy; Signell, Richard P.; de La Beaujardiere, Jeff; Cornillon, Peter; Blanc, Frederique; Rew, Russ; Harlan, Jack; Hall, Julie; Harrison, D.E.; Stammer, Detlef

2010-01-01

It is generally recognized that meeting society's emerging environmental science and management needs will require the marine data community to provide simpler, more effective and more interoperable access to its data. There is broad agreement, as well, that data standards are the bedrock upon which interoperability will be built. The path that would bring the marine data community to agree upon and utilize such standards, however, is often elusive. In this paper we examine the trio of standards 1) netCDF files; 2) the Climate and Forecast (CF) metadata convention; and 3) the OPeNDAP data access protocol. These standards taken together have brought our community a high level of interoperability for "gridded" data such as model outputs, satellite products and climatological analyses, and they are gaining rapid acceptance for ocean observations. We will provide an overview of the scope of the contribution that has been made. We then step back from the information technology considerations to examine the community or "social" process by which the successes were achieved. We contrast the path by which the World Meteorological Organization (WMO) has advanced the Global Telecommunications System (GTS) - netCDF/CF/OPeNDAP exemplifying a "bottom up" standards process whereas GTS is "top down". Both of these standards are tales of success at achieving specific purposes, yet each is hampered by technical limitations. These limitations sometimes lead to controversy over whether alternative technological directions should be pursued. Finally we draw general conclusions regarding the factors that affect the success of a standards development effort - the likelihood that an IT standard will meet its design goals and will achieve community-wide acceptance. We believe that a higher level of thoughtful awareness by the scientists, program managers and technology experts of the vital role of standards and the merits of alternative standards processes can help us as a community to reach our interoperability goals faster.

Fundamental Data Standards for Science Data System Interoperability and Data Correlation

NASA Astrophysics Data System (ADS)

Hughes, J. Steven; Gopala Krishna, Barla; Rye, Elizabeth; Crichton, Daniel

The advent of the Web and languages such as XML have brought an explosion of online science data repositories and the promises of correlated data and interoperable systems. However there have been relatively few successes in meeting the expectations of science users in the internet age. For example a Google-like search for images of Mars will return many highly-derived and appropriately tagged images but largely ignore the majority of images in most online image repositories. Once retrieved, users are further frustrated by poor data descriptions, arcane formats, and badly organized ancillary information. A wealth of research indicates that shared information models are needed to enable system interoperability and data correlation. However, at a more fundamental level, data correlation and system interoperability are dependant on a relatively few shared data standards. A com-mon data dictionary standard, for example, allows the controlled vocabulary used in a science repository to be shared with potential collaborators. Common data registry and product iden-tification standards enable systems to efficiently find, locate, and retrieve data products and their metadata from remote repositories. Information content standards define categories of descriptive data that help make the data products scientifically useful to users who were not part of the original team that produced the data. The Planetary Data System (PDS) has a plan to move the PDS to a fully online, federated system. This plan addresses new demands on the system including increasing data volume, numbers of missions, and complexity of missions. A key component of this plan is the upgrade of the PDS Data Standards. The adoption of the core PDS data standards by the International Planetary Data Alliance (IPDA) adds the element of international cooperation to the plan. This presentation will provide an overview of the fundamental data standards being adopted by the PDS that transcend science domains and that will help to meet the PDS's and IPDA's system interoperability and data correlation requirements.

In vivo evaluation of inter-operator reproducibility of digital dental and conventional impression techniques

PubMed Central

Kamimura, Emi; Tanaka, Shinpei; Takaba, Masayuki; Tachi, Keita; Baba, Kazuyoshi

2017-01-01

Purpose The aim of this study was to evaluate and compare the inter-operator reproducibility of three-dimensional (3D) images of teeth captured by a digital impression technique to a conventional impression technique in vivo. Materials and methods Twelve participants with complete natural dentition were included in this study. A digital impression of the mandibular molars of these participants was made by two operators with different levels of clinical experience, 3 or 16 years, using an intra-oral scanner (Lava COS, 3M ESPE). A silicone impression also was made by the same operators using the double mix impression technique (Imprint3, 3M ESPE). Stereolithography (STL) data were directly exported from the Lava COS system, while STL data of a plaster model made from silicone impression were captured by a three-dimensional (3D) laboratory scanner (D810, 3shape). The STL datasets recorded by two different operators were compared using 3D evaluation software and superimposed using the best-fit-algorithm method (least-squares method, PolyWorks, InnovMetric Software) for each impression technique. Inter-operator reproducibility as evaluated by average discrepancies of corresponding 3D data was compared between the two techniques (Wilcoxon signed-rank test). Results The visual inspection of superimposed datasets revealed that discrepancies between repeated digital impression were smaller than observed with silicone impression. Confirmation was forthcoming from statistical analysis revealing significantly smaller average inter-operator reproducibility using a digital impression technique (0.014± 0.02 mm) than when using a conventional impression technique (0.023 ± 0.01 mm). Conclusion The results of this in vivo study suggest that inter-operator reproducibility with a digital impression technique may be better than that of a conventional impression technique and is independent of the clinical experience of the operator. PMID:28636642

Reuse and Interoperability of Avionics for Space Systems

NASA Technical Reports Server (NTRS)

Hodson, Robert F.

2007-01-01

The space environment presents unique challenges for avionics. Launch survivability, thermal management, radiation protection, and other factors are important for successful space designs. Many existing avionics designs use custom hardware and software to meet the requirements of space systems. Although some space vendors have moved more towards a standard product line approach to avionics, the space industry still lacks similar standards and common practices for avionics development. This lack of commonality manifests itself in limited reuse and a lack of interoperability. To address NASA s need for interoperable avionics that facilitate reuse, several hardware and software approaches are discussed. Experiences with existing space boards and the application of terrestrial standards is outlined. Enhancements and extensions to these standards are considered. A modular stack-based approach to space avionics is presented. Software and reconfigurable logic cores are considered for extending interoperability and reuse. Finally, some of the issues associated with the design of reusable interoperable avionics are discussed.

ECITE: A Testbed for Assessment of Technology Interoperability and Integration wiht Architecture Components

NASA Astrophysics Data System (ADS)

Graves, S. J.; Keiser, K.; Law, E.; Yang, C. P.; Djorgovski, S. G.

2016-12-01

ECITE (EarthCube Integration and Testing Environment) is providing both cloud-based computational testing resources and an Assessment Framework for Technology Interoperability and Integration. NSF's EarthCube program is funding the development of cyberinfrastructure building block components as technologies to address Earth science research problems. These EarthCube building blocks need to support integration and interoperability objectives to work towards a coherent cyberinfrastructure architecture for the program. ECITE is being developed to provide capabilities to test and assess the interoperability and integration across funded EarthCube technology projects. EarthCube defined criteria for interoperability and integration are applied to use cases coordinating science problems with technology solutions. The Assessment Framework facilitates planning, execution and documentation of the technology assessments for review by the EarthCube community. This presentation will describe the components of ECITE and examine the methodology of cross walking between science and technology use cases.

Integrating semantic dimension into openEHR archetypes for the management of cerebral palsy electronic medical records.

PubMed

Ellouze, Afef Samet; Bouaziz, Rafik; Ghorbel, Hanen

2016-10-01

Integrating semantic dimension into clinical archetypes is necessary once modeling medical records. First, it enables semantic interoperability and, it offers applying semantic activities on clinical data and provides a higher design quality of Electronic Medical Record (EMR) systems. However, to obtain these advantages, designers need to use archetypes that cover semantic features of clinical concepts involved in their specific applications. In fact, most of archetypes filed within open repositories are expressed in the Archetype Definition Language (ALD) which allows defining only the syntactic structure of clinical concepts weakening semantic activities on the EMR content in the semantic web environment. This paper focuses on the modeling of an EMR prototype for infants affected by Cerebral Palsy (CP), using the dual model approach and integrating semantic web technologies. Such a modeling provides a better delivery of quality of care and ensures semantic interoperability between all involved therapies' information systems. First, data to be documented are identified and collected from the involved therapies. Subsequently, data are analyzed and arranged into archetypes expressed in accordance of ADL. During this step, open archetype repositories are explored, in order to find the suitable archetypes. Then, ADL archetypes are transformed into archetypes expressed in OWL-DL (Ontology Web Language - Description Language). Finally, we construct an ontological source related to these archetypes enabling hence their annotation to facilitate data extraction and providing possibility to exercise semantic activities on such archetypes. Semantic dimension integration into EMR modeled in accordance to the archetype approach. The feasibility of our solution is shown through the development of a prototype, baptized "CP-SMS", which ensures semantic exploitation of CP EMR. This prototype provides the following features: (i) creation of CP EMR instances and their checking by using a knowledge base which we have constructed by interviews with domain experts, (ii) translation of initially CP ADL archetypes into CP OWL-DL archetypes, (iii) creation of an ontological source which we can use to annotate obtained archetypes and (vi) enrichment and supply of the ontological source and integration of semantic relations by providing hence fueling the ontology with new concepts, ensuring consistency and eliminating ambiguity between concepts. The degree of semantic interoperability that could be reached between EMR systems depends strongly on the quality of the used archetypes. Thus, the integration of semantic dimension in archetypes modeling process is crucial. By creating an ontological source and annotating archetypes, we create a supportive platform ensuring semantic interoperability between archetypes-based EMR-systems. Copyright © 2016. Published by Elsevier Inc.

Building a VO-compliant Radio Astronomical DAta Model for Single-dish radio telescopes (RADAMS)

NASA Astrophysics Data System (ADS)

Santander-Vela, Juan de Dios; García, Emilio; Leon, Stephane; Espigares, Victor; Ruiz, José Enrique; Verdes-Montenegro, Lourdes; Solano, Enrique

2012-11-01

The Virtual Observatory (VO) is becoming the de-facto standard for astronomical data publication. However, the number of radio astronomical archives is still low in general, and even lower is the number of radio astronomical data available through the VO. In order to facilitate the building of new radio astronomical archives, easing at the same time their interoperability with VO framework, we have developed a VO-compliant data model which provides interoperable data semantics for radio data. That model, which we call the Radio Astronomical DAta Model for Single-dish (RADAMS) has been built using standards of (and recommendations from) the International Virtual Observatory Alliance (IVOA). This article describes the RADAMS and its components, including archived entities and their relationships to VO metadata. We show that by using IVOA principles and concepts, the effort needed for both the development of the archives and their VO compatibility has been lowered, and the joint development of two radio astronomical archives have been possible. We plan to adapt RADAMS to be able to deal with interferometry data in the future.

The impact of SOA for achieving healthcare interoperability. An empirical investigation based on a hypothetical adoption.

PubMed

Daskalakis, S; Mantas, J

2009-01-01

The evaluation of a service-oriented prototype implementation for healthcare interoperability. A prototype framework was developed, aiming to exploit the use of service-oriented architecture (SOA) concepts for achieving healthcare interoperability and to move towards a virtual patient record (VPR) paradigm. The prototype implementation was evaluated for its hypothetical adoption. The evaluation strategy was based on the initial proposition of the DeLone and McLean model of information systems (IS) success [1], as modeled by Iivari [2]. A set of SOA and VPR characteristics were empirically encapsulated within the dimensions of IS success model, combined with measures from previous research works. The data gathered was analyzed using partial least squares (PLS). The results highlighted that system quality is a partial predictor of system use but not of user satisfaction. On the contrary, information quality proved to be a significant predictor of user satisfaction and partially a strong significant predictor of system use. Moreover, system use did not prove to be a significant predictor of individual impact whereas the bi-directional relation between use and user satisfaction did not confirm. Additionally, user satisfaction was found to be a strong significant predictor of individual impact. Finally, individual impact proved to be a strong significant predictor of organizational impact. The empirical study attempted to obtain hypothetical, but still useful beliefs and perceptions regarding the SOA prototype implementation. The deduced observations can form the basis for further investigation regarding the adaptability of SOA implementations with VPR characteristics in the healthcare domain.

Semantic Interoperability Almost Without Using The Same Vocabulary: Is It Possible?

NASA Astrophysics Data System (ADS)

Krisnadhi, A. A.

2016-12-01

Semantic interoperability, which is a key requirement in realizing cross-repository data integration, is often understood as using the same ontology or vocabulary. Consequently, within a particular domain, one can easily assume that there has to be one unifying domain ontology covering as many vocabulary terms in the domain as possible in order to realize any form of data integration across multiple data sources. Furthermore, the desire to provide very precise definition of those many terms led to the development of huge, foundational and domain ontologies that are comprehensive, but too complicated, restrictive, monolithic, and difficult to use and reuse, which cause common data providers to avoid using them. This problem is especially true in a domain as diverse as geosciences as it is virtually impossible to reach an agreement to the semantics of many terms (e.g., there are hundreds of definitions of forest used throughout the world). To overcome this challenge, modular ontology architecture has emerged in recent years, fueled among others, by advances in the ontology design pattern research. Each ontology pattern models only one key notion. It can act as a small module of a larger ontology. Such a module is developed in such a way that it is largely independent of how other notions in the same domain are modeled. This leads to an increased reusability. Furthermore, an ontology formed out of such modules would have an improved understandability over large, monolithic ontologies. Semantic interoperability in the aforementioned architecture is not achieved by enforcing the use of the same vocabulary, but rather, promoting alignment to the same ontology patterns. In this work, we elaborate how this architecture realizes the above idea. In particular, we describe how multiple data sources with differing perspectives and vocabularies can interoperate through this architecture. Building the solution upon semantic technologies such as Linked Data and the Web Ontology Language (OWL), we demonstrate how a data integration solution based on this idea can be realized over different data repositories.

THE EARTH SYSTEM PREDICTION SUITE: Toward a Coordinated U.S. Modeling Capability

PubMed Central

Theurich, Gerhard; DeLuca, C.; Campbell, T.; Liu, F.; Saint, K.; Vertenstein, M.; Chen, J.; Oehmke, R.; Doyle, J.; Whitcomb, T.; Wallcraft, A.; Iredell, M.; Black, T.; da Silva, AM; Clune, T.; Ferraro, R.; Li, P.; Kelley, M.; Aleinov, I.; Balaji, V.; Zadeh, N.; Jacob, R.; Kirtman, B.; Giraldo, F.; McCarren, D.; Sandgathe, S.; Peckham, S.; Dunlap, R.

2017-01-01

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users. The ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the U.S. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates and interoperability conventions. This shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multi-agency development of coupled modeling systems, controlled experimentation and testing, and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NavGEM), HYbrid Coordinate Ocean Model (HYCOM), and Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS®); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and GEOS-5 atmospheric general circulation model. PMID:29568125

THE EARTH SYSTEM PREDICTION SUITE: Toward a Coordinated U.S. Modeling Capability.

PubMed

Theurich, Gerhard; DeLuca, C; Campbell, T; Liu, F; Saint, K; Vertenstein, M; Chen, J; Oehmke, R; Doyle, J; Whitcomb, T; Wallcraft, A; Iredell, M; Black, T; da Silva, A M; Clune, T; Ferraro, R; Li, P; Kelley, M; Aleinov, I; Balaji, V; Zadeh, N; Jacob, R; Kirtman, B; Giraldo, F; McCarren, D; Sandgathe, S; Peckham, S; Dunlap, R

2016-07-01

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users. The ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the U.S. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates and interoperability conventions. This shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multi-agency development of coupled modeling systems, controlled experimentation and testing, and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NavGEM), HYbrid Coordinate Ocean Model (HYCOM), and Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS ® ); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and GEOS-5 atmospheric general circulation model.

The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability

NASA Technical Reports Server (NTRS)

Theurich, Gerhard; DeLuca, C.; Campbell, T.; Liu, F.; Saint, K.; Vertenstein, M.; Chen, J.; Oehmke, R.; Doyle, J.; Whitcomb, T.;

Interoperability Measurement

DTIC Science & Technology

2008-08-01

facilitate the use of existing architecture descriptions in performing interoperability measurement. Noting that “everything in the world can be expressed as...biological, botanical, and genetic research, it has also been used with great success in the fields of ecology, medicine, the social sciences, the...appropriate for at least three reasons. First, systems perform different interoperations in different scenarios (i.e., they are used differently); second

Commanding Heterogeneous Multi-Robot Teams

DTIC Science & Technology

2014-06-01

Coalition Battle Management Language (C-BML) Study Group Report. 2005 Fall Simulation Interoperability Workshop (05F- SIW - 041), Orlando, FL, September...NMSG-085 CIG Land Operation Demonstration. 2013 Spring Simulation Interoperability Workshop (13S- SIW -031), San Diego, CA. April 2013. [4] K...Simulation Interoperability Workshop (10F- SIW -039), Orlando, FL, September 2010. [5] M. Langerwisch, M. Ax, S. Thamke, T. Remmersmann, A. Tiderko

DeoR repression at-a-distance only weakly responds to changes in interoperator separation and DNA topology.

PubMed Central

Dandanell, G

1992-01-01

The interoperator distance between a synthetic operator Os and the deoP2O2-galK fusion was varied between 46 and 176 bp. The repression of the deoP2 directed galK expression as a function of the interoperator distance (center-to-center) was measured in vivo in a single-copy system. The results show that the DeoR repressor efficiently can repress transcription at all the interoperator distances tested. The degree of repression depends very little on the spacing between the operators, however, a weak periodic dependency of 8-11 bp may exist. PMID:1437558

[Lessons learned in the implementation of interoperable National Health Information Systems: a systematic review].

PubMed

Ovies-Bernal, Diana Paola; Agudelo-Londoño, Sandra M

2014-01-01

Identify shared criteria used throughout the world in the implementation of interoperable National Health Information Systems (NHIS) and provide validated scientific information on the dimensions affecting interoperability. This systematic review sought to identify primary articles on the implementation of interoperable NHIS published in scientific journals in English, Portuguese, or Spanish between 1990 and 2011 through a search of eight databases of electronic journals in the health sciences and informatics: MEDLINE (PubMed), Proquest, Ovid, EBSCO, MD Consult, Virtual Health Library, Metapress, and SciELO. The full texts of the articles were reviewed, and those that focused on technical computer aspects or on normative issues were excluded, as well as those that did not meet the quality criteria for systematic reviews of interventions. Of 291 studies found and reviewed, only five met the inclusion criteria. These articles reported on the process of implementing an interoperable NHIS in Brazil, China, the United States, Turkey, and the Semiautonomous Region of Zanzíbar, respectively. Five common basic criteria affecting implementation of the NHIS were identified: standards in place to govern the process, availability of trained human talent, financial and structural constraints, definition of standards, and assurance that the information is secure. Four dimensions affecting interoperability were defined: technical, semantic, legal, and organizational. The criteria identified have to be adapted to the actual situation in each country and a proactive approach should be used to ensure that implementation of the interoperable NHIS is strategic, simple, and reliable.

LVC Architecture Roadmap Implementation - Results of the First Two Years

DTIC Science & Technology

2012-03-01

NOTES Presented at the Simulation Interoperability Standards Organization?s (SISO) Spring Simulation Interoperability Workshop ( SIW ), 26-30 March...presented at the semi-annual Simulation Interoperability Workshops ( SIWs ) and the annual Interservice/Industry Training, Simulation & Education Conference...I/ITSEC), as well as other venues. For example, a full-day workshop on the initial progress of the effort was conducted at the 2010 Spring SIW [2

DIMP: an interoperable solution for software integration and product data exchange

NASA Astrophysics Data System (ADS)

Wang, Xi Vincent; Xu, Xun William

2012-08-01

Today, globalisation has become one of the main trends of manufacturing business that has led to a world-wide decentralisation of resources amongst not only individual departments within one company but also business partners. However, despite the development and improvement in the last few decades, difficulties in information exchange and sharing still exist in heterogeneous applications environments. This article is divided into two parts. In the first part, related research work and integrating solutions are reviewed and discussed. The second part introduces a collaborative environment called distributed interoperable manufacturing platform, which is based on a module-based, service-oriented architecture (SOA). In the platform, the STEP-NC data model is used to facilitate data-exchange among heterogeneous CAD/CAM/CNC systems.

Archetype-based electronic health records: a literature review and evaluation of their applicability to health data interoperability and access.

PubMed

Wollersheim, Dennis; Sari, Anny; Rahayu, Wenny

Health Information Managers (HIMs) are responsible for overseeing health information. The change management necessary during the transition to electronic health records (EHR) is substantial, and ongoing. Archetype-based EHRs are a core health information system component which solve many of the problems that arise during this period of change. Archetypes are models of clinical content, and they have many beneficial properties. They are interoperable, both between settings and through time. They are more amenable to change than conventional paradigms, and their design is congruent with clinical practice. This paper is an overview of the current archetype literature relevant to Health Information Managers. The literature was sourced in the English language sections of ScienceDirect, IEEE Explore, Pubmed, Google Scholar, ACM Digital library and other databases on the usage of archetypes for electronic health record storage, looking at the current areas of archetype research, appropriate usage, and future research. We also used reference lists from the cited papers, papers referenced by the openEHR website, and the recommendations from experts in the area. Criteria for inclusion were (a) if studies covered archetype research and (b) were either studies of archetype use, archetype system design, or archetype effectiveness. The 47 papers included show a wide and increasing worldwide archetype usage, in a variety of medical domains. Most of the papers noted that archetypes are an appropriate solution for future-proof and interoperable medical data storage. We conclude that archetypes are a suitable solution for the complex problem of electronic health record storage and interoperability.

Recent advances on terrain database correlation testing

NASA Astrophysics Data System (ADS)

Sakude, Milton T.; Schiavone, Guy A.; Morelos-Borja, Hector; Martin, Glenn; Cortes, Art

1998-08-01

Terrain database correlation is a major requirement for interoperability in distributed simulation. There are numerous situations in which terrain database correlation problems can occur that, in turn, lead to lack of interoperability in distributed training simulations. Examples are the use of different run-time terrain databases derived from inconsistent on source data, the use of different resolutions, and the use of different data models between databases for both terrain and culture data. IST has been developing a suite of software tools, named ZCAP, to address terrain database interoperability issues. In this paper we discuss recent enhancements made to this suite, including improved algorithms for sampling and calculating line-of-sight, an improved method for measuring terrain roughness, and the application of a sparse matrix method to the terrain remediation solution developed at the Visual Systems Lab of the Institute for Simulation and Training. We review the application of some of these new algorithms to the terrain correlation measurement processes. The application of these new algorithms improves our support for very large terrain databases, and provides the capability for performing test replications to estimate the sampling error of the tests. With this set of tools, a user can quantitatively assess the degree of correlation between large terrain databases.

Eight reasons payer interoperability and data sharing are essential in ACOs. Interoperability standards could be a prerequisite to measuring care.

PubMed

Mookencherry, Shefali

2012-01-01

It makes strategic and business sense for payers and providers to collaborate on how to take substantial cost out of the healthcare delivery system. Acting independently, neither medical groups, hospitals nor health plans have the optimal mix of resources and incentives to significantly reduce costs. Payers have core assets such as marketing, claims data, claims processing, reimbursement systems and capital. It would be cost prohibitive for all but the largest providers to develop these capabilities in order to compete directly with insurers. Likewise, medical groups and hospitals are positioned to foster financial interdependence among providers and coordinate the continuum of patient illnesses and care settings. Payers and providers should commit to reasonable clinical and cost goals, and share resources to minimize expenses and financial risks. It is in the interest of payers to work closely with providers on risk-management strategies because insurers need synergy with ACOs to remain cost competitive. It is in the interest of ACOs to work collaboratively with payers early on to develop reasonable and effective performance benchmarks. Hence, it is essential to have payer interoperability and data sharing integrated in an ACO model.

Challenges of interoperability using HL7 v3 in Czech healthcare.

PubMed

Nagy, Miroslav; Preckova, Petra; Seidl, Libor; Zvarova, Jana

2010-01-01

The paper describes several classification systems that could improve patient safety through semantic interoperability among contemporary electronic health record systems (EHR-Ss) with support of the HL7 v3 standard. We describe a proposal and a pilot implementation of a semantic interoperability platform (SIP) interconnecting current EHR-Ss by using HL7 v3 messages and concepts mappings on most widely used classification systems. The increasing number of classification systems and nomenclatures requires designing of various conversion tools for transfer between main classification systems. We present the so-called LIM filler module and the HL7 broker, which are parts of the SIP, playing the role of such conversion tools. The analysis of suitability and usability of individual terminological thesauri has been started by mapping of clinical contents of the Minimal Data Model for Cardiology (MDMC) to various terminological classification systems. A national-wide implementation of the SIP would include adopting and translating international coding systems and nomenclatures, and developing implementation guidelines facilitating the migration from national standards to international ones. Our research showed that creation of such a platform is feasible; however, it will require a huge effort to adapt fully the Czech healthcare system to the European environment.

Team Modelling: Survey of Experimental Platforms (Modelisation d’equipes : Examen de plate-formes experimentales)

DTIC Science & Technology

2006-09-01

Control Force Agility Shared Situational Awareness Attentional Demand Interoperability Network Based Operations Effect Based Operations Speed of...Command Self Synchronization Reach Back Reach Forward Information Superiority Increased Mission Effectiveness Humansystems® Team Modelling...communication effectiveness and Distributed Mission Training (DMT) effectiveness . The NASA Ames Centre - Distributed Research Facilities platform could

Educational Modelling Language: Modelling Reusable, Interoperable, Rich and Personalised Units of Learning

ERIC Educational Resources Information Center

Koper, Rob; Manderveld, Jocelyn

2004-01-01

Nowadays there is a huge demand for flexible, independent learning without the constraints of time and place. Various trends in the field of education and training are the bases for the development of new technologies for education. This article describes the development of a learning technology specification, which supports these new demands for…

Introduction to Architectures: HSCB Information - What It Is and How It Fits (or Doesn’t Fit)

DTIC Science & Technology

2010-10-01

Simulation Interoperability Workshop, 01E- SIW -080 [15] Barry G. Silverman, Gnana Gharathy, Kevin O’Brien, Jason Cornwell, “Human Behavior Models for Agents...Workshop, 10F- SIW -023, September 2010. [17] Christiansen, John H., “A flexible object-based software framework for modelling complex systems with

Federating Cyber and Physical Models for Event-Driven Situational Awareness

DOE Office of Scientific and Technical Information (OSTI.GOV)

Stephan, Eric G.; Pawlowski, Ronald A.; Sridhar, Siddharth

The purpose of this paper is to describe a novel method to improve electric power system monitoring and control software application interoperability. This method employs the concept of federation, which is defined as the use of existing models that represent aspects of a system in specific domains (such as physical and cyber security domains) and building interface to link all of domain models.

ESPC Common Model Architecture Earth System Modeling Framework (ESMF) Software and Application Development

DTIC Science & Technology

2015-09-30

originate from NASA , NOAA , and community modeling efforts, and support for creation of the suite was shared by sponsors from other agencies. ESPS...Framework (ESMF) Software and Application Development Cecelia Deluca NESII/CIRES/ NOAA Earth System Research Laboratory 325 Broadway Boulder, CO...Capability (NUOPC) was established between NOAA and Navy to develop a common software architecture for easy and efficient interoperability. The

The Next Generation of Interoperability Agents in Healthcare

PubMed Central

Cardoso, Luciana; Marins, Fernando; Portela, Filipe; Santos, Manuel ; Abelha, António; Machado, José

2014-01-01

Interoperability in health information systems is increasingly a requirement rather than an option. Standards and technologies, such as multi-agent systems, have proven to be powerful tools in interoperability issues. In the last few years, the authors have worked on developing the Agency for Integration, Diffusion and Archive of Medical Information (AIDA), which is an intelligent, agent-based platform to ensure interoperability in healthcare units. It is increasingly important to ensure the high availability and reliability of systems. The functions provided by the systems that treat interoperability cannot fail. This paper shows the importance of monitoring and controlling intelligent agents as a tool to anticipate problems in health information systems. The interaction between humans and agents through an interface that allows the user to create new agents easily and to monitor their activities in real time is also an important feature, as health systems evolve by adopting more features and solving new problems. A module was installed in Centro Hospitalar do Porto, increasing the functionality and the overall usability of AIDA. PMID:24840351

IT Labs Proof-of-Concept Project: Technical Data Interoperability (TDI) Pathfinder Via Emerging Standards

NASA Technical Reports Server (NTRS)

Conroy, Mike; Gill, Paul; Ingalls, John; Bengtsson, Kjell

2014-01-01

No known system is in place to allow NASA technical data interoperability throughout the whole life cycle. Life Cycle Cost (LCC) will be higher on many developing programs if action isn't taken soon to join disparate systems efficiently. Disparate technical data also increases safety risks from poorly integrated elements. NASA requires interoperability and industry standards, but breaking legacy ways is a challenge.

Interacting with Multi-Robot Systems Using BML

DTIC Science & Technology

2013-06-01

Pullen, U. Schade, J. Simonsen & R. Gomez-Veiga, NATO MSG-048 C-BML Final Report Summary. 2010 Fall Simulation Interoperability Workshop (10F- SIW -039...NATO MSG-085. 2012 Spring Simulation Interoperability Workshop (12S- SIW -045), Orlando, FL, March 2012. [3] T. Remmersmann, U. Schade, L. Khimeche...B. Grautreau & R. El Abdouni Khayari, Lessons Recognized: How to Combine BML and MSDL. 2012 Spring Simulation Interoperability Workshop (12S- SIW -012

A Linguistic Foundation for Communicating Geo-Information in the context of BML and geoBML

DTIC Science & Technology

2010-03-23

BML Standard. 2009 Spring Simulation Interoperability Workshop (09S- SIW -046). San Diego, CA. Rein, K., Schade, U. & Hieb, M.R. (2009). Battle...Formalizing Battle Management Language: A Grammar for Specifying Orders. 2006 Spring Simulation Interoperability Workshop (06S- SIW - 068). Huntsville...Hieb, M.R. (2007). Battle Management Language: A Grammar for Specifying Reports. 2007 Spring Simulation Interoperability Workshop (07S- SIW -036

IHE based interoperability - benefits and challenges.

PubMed

Wozak, Florian; Ammenwerth, Elske; Hörbst, Alexander; Sögner, Peter; Mair, Richard; Schabetsberger, Thomas

2008-01-01

Optimized workflows and communication between institutions involved in a patient's treatment process can lead to improved quality and efficiency in the healthcare sector. Electronic Health Records (EHRs) provide a patient-centered access to clinical data across institutional boundaries supporting the above mentioned aspects. Interoperability is regarded as vital success factor. However a clear definition of interoperability does not exist. The aim of this work is to define and to assess interoperability criteria as required for EHRs. The definition and assessment of interoperability criteria is supported by the analysis of existing literature and personal experience as well as by discussions with several domain experts. Criteria for interoperability addresses the following aspects: Interfaces, Semantics, Legal and organizational aspects and Security. The Integrating the Healthcare Enterprises initiative (IHE) profiles make a major contribution to these aspects, but they also arise new problems. Flexibility for adoption to different organizational/regional or other specific conditions is missing. Regional or national initiatives should get a possibility to realize their specific needs within the boundaries of IHE profiles. Security so far is an optional element which is one of IHE greatest omissions. An integrated security approach seems to be preferable. Irrespective of the so far practical significance of the IHE profiles it appears to be of great importance, that the profiles are constantly checked against practical experiences and are continuously adapted.

SMART on FHIR: a standards-based, interoperable apps platform for electronic health records

PubMed Central

Kreda, David A; Mandl, Kenneth D; Kohane, Isaac S; Ramoni, Rachel B

2016-01-01

Objective In early 2010, Harvard Medical School and Boston Children’s Hospital began an interoperability project with the distinctive goal of developing a platform to enable medical applications to be written once and run unmodified across different healthcare IT systems. The project was called Substitutable Medical Applications and Reusable Technologies (SMART). Methods We adopted contemporary web standards for application programming interface transport, authorization, and user interface, and standard medical terminologies for coded data. In our initial design, we created our own openly licensed clinical data models to enforce consistency and simplicity. During the second half of 2013, we updated SMART to take advantage of the clinical data models and the application-programming interface described in a new, openly licensed Health Level Seven draft standard called Fast Health Interoperability Resources (FHIR). Signaling our adoption of the emerging FHIR standard, we called the new platform SMART on FHIR. Results We introduced the SMART on FHIR platform with a demonstration that included several commercial healthcare IT vendors and app developers showcasing prototypes at the Health Information Management Systems Society conference in February 2014. This established the feasibility of SMART on FHIR, while highlighting the need for commonly accepted pragmatic constraints on the base FHIR specification. Conclusion In this paper, we describe the creation of SMART on FHIR, relate the experience of the vendors and developers who built SMART on FHIR prototypes, and discuss some challenges in going from early industry prototyping to industry-wide production use. PMID:26911829

GEOSS AIP-2 Climate Change and Biodiversity Use Scenarios: Interoperability Infrastructures

NASA Astrophysics Data System (ADS)

Nativi, Stefano; Santoro, Mattia

2010-05-01

In the last years, scientific community is producing great efforts in order to study the effects of climate change on life on Earth. In this general framework, a key role is played by the impact of climate change on biodiversity. To assess this, several use scenarios require the modeling of climatological change impact on the regional distribution of biodiversity species. Designing and developing interoperability infrastructures which enable scientists to search, discover, access and use multi-disciplinary resources (i.e. datasets, services, models, etc.) is currently one of the main research fields for the Earth and Space Science Informatics. This presentation introduces and discusses an interoperability infrastructure which implements the discovery, access, and chaining of loosely-coupled resources in the climatology and biodiversity domains. This allows to set up and run forecast and processing models. The presented framework was successfully developed and experimented in the context of GEOSS AIP-2 (Global Earth Observation System of Systems, Architecture Implementation Pilot- Phase 2) Climate Change & Biodiversity thematic Working Group. This interoperability infrastructure is comprised of the following main components and services: a)GEO Portal: through this component end user is able to search, find and access the needed services for the scenario execution; b)Graphical User Interface (GUI): this component provides user interaction functionalities. It controls the workflow manager to perform the required operations for the scenario implementation; c)Use Scenario controller: this component acts as a workflow controller implementing the scenario business process -i.e. a typical climate change & biodiversity projection scenario; d)Service Broker implementing Mediation Services: this component realizes a distributed catalogue which federates several discovery and access components (exposing them through a unique CSW standard interface). Federated components publish climate, environmental and biodiversity datasets; e)Ecological Niche Model Server: this component is able to run one or more Ecological Niche Models (ENM) on selected biodiversity and climate datasets; f)Data Access Transaction server: this component publishes the model outputs. This framework was assessed in two use scenarios of GEOSS AIP-2 Climate Change and Biodiversity WG. Both scenarios concern the prediction of species distributions driven by climatological change forecasts. The first scenario dealt with the Pikas specie regional distribution in the Great Basin area (North America). While, the second one concerned the modeling of the Arctic Food Chain species in the North Pole area -the relationships between different environmental parameters and Polar Bears distribution was analyzed. The scientific patronage was provided by the University of Colorado and the University of Alaska, respectively. Results are published in the GEOSS AIP-2 web site: http://www.ogcnetwork.net/AIP2develop.

Advances in a distributed approach for ocean model data interoperability

USGS Publications Warehouse

Signell, Richard P.; Snowden, Derrick P.

2014-01-01

An infrastructure for earth science data is emerging across the globe based on common data models and web services. As we evolve from custom file formats and web sites to standards-based web services and tools, data is becoming easier to distribute, find and retrieve, leaving more time for science. We describe recent advances that make it easier for ocean model providers to share their data, and for users to search, access, analyze and visualize ocean data using MATLAB® and Python®. These include a technique for modelers to create aggregated, Climate and Forecast (CF) metadata convention datasets from collections of non-standard Network Common Data Form (NetCDF) output files, the capability to remotely access data from CF-1.6-compliant NetCDF files using the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS), a metadata standard for unstructured grid model output (UGRID), and tools that utilize both CF and UGRID standards to allow interoperable data search, browse and access. We use examples from the U.S. Integrated Ocean Observing System (IOOS®) Coastal and Ocean Modeling Testbed, a project in which modelers using both structured and unstructured grid model output needed to share their results, to compare their results with other models, and to compare models with observed data. The same techniques used here for ocean modeling output can be applied to atmospheric and climate model output, remote sensing data, digital terrain and bathymetric data.

Leverage and Delegation in Developing an Information Model for Geology

NASA Astrophysics Data System (ADS)

Cox, S. J.

2007-12-01

GeoSciML is an information model and XML encoding developed by a group of primarily geologic survey organizations under the auspices of the IUGS CGI. The scope of the core model broadly corresponds with information traditionally portrayed on a geologic map, viz. interpreted geology, some observations, the map legend and accompanying memoir. The development of GeoSciML has followed the methodology specified for an Application Schema defined by OGC and ISO 19100 series standards. This requires agreement within a community concerning their domain model, its formal representation using UML, documentation as a Feature Type Catalogue, with an XML Schema implementation generated from the model by applying a rule-based transformation. The framework and technology supports a modular governance process. Standard datatypes and GI components (geometry, the feature and coverage metamodels, metadata) are imported from the ISO framework. The observation and sampling model (including boreholes) is imported from OGC. The scale used for most scalar literal values (terms, codes, measures) allows for localization where necessary. Wildcards and abstract base- classes provide explicit extensibility points. Link attributes appear in a regular way in the encodings, allowing reference to external resources using URIs. The encoding is compatible with generic GI data-service interfaces (WFS, WMS, SOS). For maximum interoperability within a community, the interfaces may be specialised through domain-specified constraints (e.g. feature-types, scale and vocabulary bindings, query-models). Formalization using UML and XML allows use of standard validation and processing tools. Use of upper-level elements defined for generic GI application reduces the development effort and governance resonsibility, while maximising cross-domain interoperability. On the other hand, enabling specialization to be delegated in a controlled manner is essential to adoption across a range of subdisciplines and jurisdictions. The GeoSciML design team is responsible only for the part of the model that is unique to geology but for which general agreement can be reached within the domain. This paper is presented on behalf of the Interoperability Working Group of the IUGS Commission for Geoscience Information (CGI) - follow web-link for details of the membership.

Final Report from The University of Texas at Austin for DEGAS: Dynamic Global Address Space programming environments

DOE Office of Scientific and Technical Information (OSTI.GOV)

Erez, Mattan; Yelick, Katherine; Sarkar, Vivek

The Dynamic, Exascale Global Address Space programming environment (DEGAS) project will develop the next generation of programming models and runtime systems to meet the challenges of Exascale computing. Our approach is to provide an efficient and scalable programming model that can be adapted to application needs through the use of dynamic runtime features and domain-specific languages for computational kernels. We address the following technical challenges: Programmability: Rich set of programming constructs based on a Hierarchical Partitioned Global Address Space (HPGAS) model, demonstrated in UPC++. Scalability: Hierarchical locality control, lightweight communication (extended GASNet), and ef- ficient synchronization mechanisms (Phasers). Performance Portability:more » Just-in-time specialization (SEJITS) for generating hardware-specific code and scheduling libraries for domain-specific adaptive runtimes (Habanero). Energy Efficiency: Communication-optimal code generation to optimize energy efficiency by re- ducing data movement. Resilience: Containment Domains for flexible, domain-specific resilience, using state capture mechanisms and lightweight, asynchronous recovery mechanisms. Interoperability: Runtime and language interoperability with MPI and OpenMP to encourage broad adoption.« less

OntoCR: A CEN/ISO-13606 clinical repository based on ontologies.

PubMed

Lozano-Rubí, Raimundo; Muñoz Carrero, Adolfo; Serrano Balazote, Pablo; Pastor, Xavier

2016-04-01

To design a new semantically interoperable clinical repository, based on ontologies, conforming to CEN/ISO 13606 standard. The approach followed is to extend OntoCRF, a framework for the development of clinical repositories based on ontologies. The meta-model of OntoCRF has been extended by incorporating an OWL model integrating CEN/ISO 13606, ISO 21090 and SNOMED CT structure. This approach has demonstrated a complete evaluation cycle involving the creation of the meta-model in OWL format, the creation of a simple test application, and the communication of standardized extracts to another organization. Using a CEN/ISO 13606 based system, an indefinite number of archetypes can be merged (and reused) to build new applications. Our approach, based on the use of ontologies, maintains data storage independent of content specification. With this approach, relational technology can be used for storage, maintaining extensibility capabilities. The present work demonstrates that it is possible to build a native CEN/ISO 13606 repository for the storage of clinical data. We have demonstrated semantic interoperability of clinical information using CEN/ISO 13606 extracts. Copyright © 2016 Elsevier Inc. All rights reserved.

Electronic Health Records: VAs Efforts Raise Concerns about Interoperability Goals and Measures, Duplication with DOD, and Future Plans

DTIC Science & Technology

2016-07-13

ELECTRONIC HEALTH RECORDS VA’s Efforts Raise Concerns about Interoperability Goals and Measures, Duplication with DOD...Agencies, Committee on Appropriations, U.S. Senate July 13, 2016 ELECTRONIC HEALTH RECORDS VA’s Efforts Raise Concerns about Interoperability Goals...initiatives with the Department of Defense (DOD) that were intended to advance the ability of the two departments to share electronic health records , the

Enabling Medical Device Interoperability for the Integrated Clinical Environment

DTIC Science & Technology

2016-12-01

else who is eager to work together to mature the healthcare technology ecosystem to enable the next generation of safe and intelligent medical device...Award Number: W81XWH-12-C-0154 TITLE: “Enabling Medical Device Interoperability for the Integrated Clinical Environment ” PRINCIPAL INVESTIGATOR...SUBTITLE 5a. CONTRACT NUMBER W81XWH-12-C-0154 “Enabling Medical Device Interoperability for the Integrated Clinical Environment ” 5b. GRANT NUMBER 5c

An HLA-Based Approach to Quantify Achievable Performance for Tactical Edge Applications

DTIC Science & Technology

2011-05-01

in: Proceedings of the 2002 Fall Simulation Interoperability Workshop, 02F- SIW -068, Nov 2002. [16] P. Knight, et al. ―WBT RTI Independent...Benchmark Tests: Design, Implementation, and Updated Results‖, in: Proceedings of the 2002 Spring Simulation Interoperability Workshop, 02S- SIW -081, March...Interoperability Workshop, 98F- SIW -085, Nov 1998. [18] S. Ferenci and R. Fujimoto. ―RTI Performance on Shared Memory and Message Passing Architectures‖, in

Interoperable Open-Source Sensor-Net Frameworks with Sensor-Package Workbench Capabilities: Motivation, Survey of Resources, and Exploratory Results

DTIC Science & Technology

2010-06-01

Military Scenario Definition Language (MSDL) for Nontraditional Warfare Scenarios," Paper 09S- SIW -001, Proceedings of the Spring Simulation...Update to the M&S Community," Paper 09S- SIW -002, Proceedings of the Spring Simulation Interoperability Workshop, Simulation Interoperability...Multiple Simulations: An Application of the Military Scenario Definition Language (MSDL)," Paper 09S- SIW -003, Proc. of the Spring Simulation

Planetary Sciences Interoperability at VO Paris Data Centre

NASA Astrophysics Data System (ADS)

Le Sidaner, P.; Aboudarham, J.; Birlan, M.; Briot, D.; Bonnin, X.; Cecconi, B.; Chauvin, C.; Erard, S.; Henry, F.; Lamy, L.; Mancini, M.; Normand, J.; Popescu, F.; Roques, F.; Savalle, R.; Schneider, J.; Shih, A.; Thuillot, W.; Vinatier, S.

2015-10-01

The Astronomy community has been developing interoperability since more than 10 years, by standardizing data access, data formats, and metadata. This international action is led by the International Virtual Observatory Alliance (IVOA). Observatoire de Paris is an active participant in this project. All actions on interoperability, data and service provision are centralized in and managed by VOParis Data Centre (VOPDC). VOPDC is a coordinated project from all scientific departments of Observatoire de Paris..

Interoperable and standard e-Health solution over Bluetooth.

PubMed

Martinez, I; Del Valle, P; Munoz, P; Trigo, J D; Escayola, J; Martínez-Espronceda, M; Muñoz, A; Serrano, L; Garcia, J

2010-01-01

The new paradigm of e-Health demands open sensors and middleware components that permit transparent integration and end-to-end interoperability of new personal health devices. The use of standards seems to be the internationally adopted way to solve these problems. This paper presents the implementation of an end-to-end standards-based e-Health solution. This includes ISO/IEEE11073 standard for the interoperability of the medical devices in the patient environment and EN13606 standard for the interoperable exchange of the Electronic Healthcare Record. The design strictly fulfills all the technical features of the most recent versions of both standards. The implemented prototype has been tested in a laboratory environment to demonstrate its feasibility for its further transfer to the healthcare system.

UAS Integration into the NAS: Detect and Avoid Display Evaluations in Support of SC-228 MOPS Development

NASA Technical Reports Server (NTRS)

Fern, Lisa; Rorie, Conrad; Shively, Jay

2016-01-01

At the May 2015 SC-228 meeting, requirements for TCAS II interoperability became elevated in priority. A TCAS interoperability work group was formed to identify and address key issuesquestions. The TCAS work group came up with an initial list of questions and a plan to address those questions. As part of that plan, NASA proposed to run a mini HITL to address display, alerting and guidance issues. A TCAS Interoperability Workshop was held to determine potential displayalertingguidance issues that could be explored in future NASA mini HITLS. Consensus on main functionality of DAA guidance when TCAS II RA occurs. Prioritized list of independent variables for experimental design. Set of use cases to stress TCAS Interoperability.

The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability

DOE PAGES

Theurich, Gerhard; DeLuca, C.; Campbell, T.; ...

2016-08-22

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open-source terms or to credentialed users. Furthermore, the ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the United States. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC)more » Layer, a set of ESMF-based component templates and interoperability conventions. Our shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multiagency development of coupled modeling systems; controlled experimentation and testing; and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NAVGEM), the Hybrid Coordinate Ocean Model (HYCOM), and the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and the Goddard Earth Observing System Model, version 5 (GEOS-5), atmospheric general circulation model.« less

The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability

DOE Office of Scientific and Technical Information (OSTI.GOV)

Theurich, Gerhard; DeLuca, C.; Campbell, T.

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open-source terms or to credentialed users. Furthermore, the ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the United States. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC)more » Layer, a set of ESMF-based component templates and interoperability conventions. Our shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multiagency development of coupled modeling systems; controlled experimentation and testing; and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NAVGEM), the Hybrid Coordinate Ocean Model (HYCOM), and the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and the Goddard Earth Observing System Model, version 5 (GEOS-5), atmospheric general circulation model.« less

An ontology for component-based models of water resource systems

NASA Astrophysics Data System (ADS)

Elag, Mostafa; Goodall, Jonathan L.

2013-08-01

Component-based modeling is an approach for simulating water resource systems where a model is composed of a set of components, each with a defined modeling objective, interlinked through data exchanges. Component-based modeling frameworks are used within the hydrologic, atmospheric, and earth surface dynamics modeling communities. While these efforts have been advancing, it has become clear that the water resources modeling community in particular, and arguably the larger earth science modeling community as well, faces a challenge of fully and precisely defining the metadata for model components. The lack of a unified framework for model component metadata limits interoperability between modeling communities and the reuse of models across modeling frameworks due to ambiguity about the model and its capabilities. To address this need, we propose an ontology for water resources model components that describes core concepts and relationships using the Web Ontology Language (OWL). The ontology that we present, which is termed the Water Resources Component (WRC) ontology, is meant to serve as a starting point that can be refined over time through engagement by the larger community until a robust knowledge framework for water resource model components is achieved. This paper presents the methodology used to arrive at the WRC ontology, the WRC ontology itself, and examples of how the ontology can aid in component-based water resources modeling by (i) assisting in identifying relevant models, (ii) encouraging proper model coupling, and (iii) facilitating interoperability across earth science modeling frameworks.

Defense Modeling and Simulation Initiative

DTIC Science & Technology

1992-05-01

project solicitation and priority ranking process, and reviewing policy issues . The activities of the DMSO and MSWG are also supported by a series of... issues have been raised for discussion, including: *Proumulgation of standards for the interoperability of models and simulations " Modeling and...have been completed or will be completed in the near term. The policy issues should be defined at a high level in the near term, although their

Argobots: A Lightweight Low-Level Threading and Tasking Framework

DOE Office of Scientific and Technical Information (OSTI.GOV)

Seo, Sangmin; Amer, Abdelhalim; Balaji, Pavan

In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current state-of-the-art user-level threading and tasking models, however, are either too specific to applications or architectures or are not as powerful or flexible. In this paper, we present Argobots, a lightweight, low-level threading and tasking framework that is designed as a portable and performant substrate for high-level programming models or runtime systems. Argobots offers a carefully designed execution model that balances generality of functionality with providing amore » rich set of controls to allow specialization by the user or high-level programming model. We describe the design, implementation, and optimization of Argobots and present integrations with three example high-level models: OpenMP, MPI, and co-located I/O service. Evaluations show that (1) Argobots outperforms existing generic threading runtimes; (2) our OpenMP runtime offers more efficient interoperability capabilities than production OpenMP runtimes do; (3) when MPI interoperates with Argobots instead of Pthreads, it enjoys reduced synchronization costs and better latency hiding capabilities; and (4) I/O service with Argobots reduces interference with co-located applications, achieving performance competitive with that of the Pthreads version.« less

Archetype modeling methodology.

PubMed

Moner, David; Maldonado, José Alberto; Robles, Montserrat

2018-03-01

Clinical Information Models (CIMs) expressed as archetypes play an essential role in the design and development of current Electronic Health Record (EHR) information structures. Although there exist many experiences about using archetypes in the literature, a comprehensive and formal methodology for archetype modeling does not exist. Having a modeling methodology is essential to develop quality archetypes, in order to guide the development of EHR systems and to allow the semantic interoperability of health data. In this work, an archetype modeling methodology is proposed. This paper describes its phases, the inputs and outputs of each phase, and the involved participants and tools. It also includes the description of the possible strategies to organize the modeling process. The proposed methodology is inspired by existing best practices of CIMs, software and ontology development. The methodology has been applied and evaluated in regional and national EHR projects. The application of the methodology provided useful feedback and improvements, and confirmed its advantages. The conclusion of this work is that having a formal methodology for archetype development facilitates the definition and adoption of interoperable archetypes, improves their quality, and facilitates their reuse among different information systems and EHR projects. Moreover, the proposed methodology can be also a reference for CIMs development using any other formalism. Copyright © 2018 Elsevier Inc. All rights reserved.

AOP-driven Predictive Models for Carcinogenicity: an exercise in interoperable data application.

EPA Science Inventory

Traditional methods and data sources for risk assessment are resource-intensive, retrospective, and not a feasible approach to address the tremendous regulatory burden of unclassified chemicals. As a result, the adverse outcome pathway (AOP) concept was developed to facilitate a ...

Interoperability Policy Roadmap

DTIC Science & Technology

2010-01-01

Retrieval – SMART The technique developed by Dr. Gerard Salton for automated information retrieval and text analysis is called the vector-space... Salton , G., Wong, A., Yang, C.S., “A Vector Space Model for Automatic Indexing”, Commu- nications of the ACM, 18, 613-620. [10] Salton , G., McGill

Heterogeneous Software System Interoperability Through Computer-Aided Resolution of Modeling Differences

DTIC Science & Technology

2002-06-01

techniques for addressing the software component retrieval problem. Steigerwald [Ste91] introduced the use of algebraic specifications for defining the...provided in terms of a specification written using Luqi’s Prototype Specification Description Language (PSDL) [LBY88] augmented with an algebraic

Test of US Federal Life Cycle Inventory Data Interoperability

EPA Science Inventory

Life cycle assessment practitioners must gather data from a variety of sources. For modeling activities in the US, practitioners may wish to use life cycle inventory data from public databases and libraries provided by US government entities. An exercise was conducted to test if ...

Distributed geospatial model sharing based on open interoperability standards

USGS Publications Warehouse

Feng, Min; Liu, Shuguang; Euliss, Ned H.; Fang, Yin

2009-01-01

Numerous geospatial computational models have been developed based on sound principles and published in journals or presented in conferences. However modelers have made few advances in the development of computable modules that facilitate sharing during model development or utilization. Constraints hampering development of model sharing technology includes limitations on computing, storage, and connectivity; traditional stand-alone and closed network systems cannot fully support sharing and integrating geospatial models. To address this need, we have identified methods for sharing geospatial computational models using Service Oriented Architecture (SOA) techniques and open geospatial standards. The service-oriented model sharing service is accessible using any tools or systems compliant with open geospatial standards, making it possible to utilize vast scientific resources available from around the world to solve highly sophisticated application problems. The methods also allow model services to be empowered by diverse computational devices and technologies, such as portable devices and GRID computing infrastructures. Based on the generic and abstract operations and data structures required for Web Processing Service (WPS) standards, we developed an interactive interface for model sharing to help reduce interoperability problems for model use. Geospatial computational models are shared on model services, where the computational processes provided by models can be accessed through tools and systems compliant with WPS. We developed a platform to help modelers publish individual models in a simplified and efficient way. Finally, we illustrate our technique using wetland hydrological models we developed for the prairie pothole region of North America.

HuPSON: the human physiology simulation ontology.

PubMed

Gündel, Michaela; Younesi, Erfan; Malhotra, Ashutosh; Wang, Jiali; Li, Hui; Zhang, Bijun; de Bono, Bernard; Mevissen, Heinz-Theodor; Hofmann-Apitius, Martin

2013-11-22

Large biomedical simulation initiatives, such as the Virtual Physiological Human (VPH), are substantially dependent on controlled vocabularies to facilitate the exchange of information, of data and of models. Hindering these initiatives is a lack of a comprehensive ontology that covers the essential concepts of the simulation domain. We propose a first version of a newly constructed ontology, HuPSON, as a basis for shared semantics and interoperability of simulations, of models, of algorithms and of other resources in this domain. The ontology is based on the Basic Formal Ontology, and adheres to the MIREOT principles; the constructed ontology has been evaluated via structural features, competency questions and use case scenarios.The ontology is freely available at: http://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads.html (owl files) and http://bishop.scai.fraunhofer.de/scaiview/ (browser). HuPSON provides a framework for a) annotating simulation experiments, b) retrieving relevant information that are required for modelling, c) enabling interoperability of algorithmic approaches used in biomedical simulation, d) comparing simulation results and e) linking knowledge-based approaches to simulation-based approaches. It is meant to foster a more rapid uptake of semantic technologies in the modelling and simulation domain, with particular focus on the VPH domain.

Requirements and Solutions for Personalized Health Systems.

PubMed

Blobel, Bernd; Ruotsalainen, Pekka; Lopez, Diego M; Oemig, Frank

2017-01-01

Organizational, methodological and technological paradigm changes enable a precise, personalized, predictive, preventive and participative approach to health and social services supported by multiple actors from different domains at diverse level of knowledge and skills. Interoperability has to advance beyond Information and Communication Technologies (ICT) concerns, including the real world business domains and their processes, but also the individual context of all actors involved. The paper introduces and compares personalized health definitions, summarizes requirements and principles for pHealth systems, and considers intelligent interoperability. It addresses knowledge representation and harmonization, decision intelligence, and usability as crucial issues in pHealth. On this basis, a system-theoretical, ontology-based, policy-driven reference architecture model for open and intelligent pHealth ecosystems and its transformation into an appropriate ICT design and implementation is proposed.

Interoperability science cases with the CDPP tools

NASA Astrophysics Data System (ADS)

Nathanaël, J.; Cecconi, B.; André, N.; Bouchemit, M.; Gangloff, M.; Budnik, E.; Jacquey, C.; Pitout, F.; Durand, J.; Rouillard, A.; Lavraud, B.; Genot, V. N.; Popescu, D.; Beigbeder, L.; Toniutti, J. P.; Caussarieu, S.

2017-12-01

Data exchange protocols are never as efficient as when they are invisible for the end user who is then able to discover data, to cross compare observations and modeled data and finally to perform in depth analysis. Over the years these protocols, including SAMP from IVOA, EPN-TAP from the Europlanet 2020 RI community, backed by standard web-services, have been deployed in tools designed by the French Centre de Données de la Physique des Plasmas (CDPP) including AMDA, the Propagation Tool, 3DView, ... . This presentation will focus on science cases which show the capability of interoperability in the planetary and heliophysics contexts, involving both CDPP and companion tools. Europlanet 2020 RI has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654208.

A Framework for Seamless Interoperation of Heterogeneous Distributed Software Components

DTIC Science & Technology

2005-05-01

interoperability, b) distributed resource discovery, and c) validation of quality requirements. Principles and prototypical systems were created to demonstrate the successful completion of the research.

The BACnet Campus Challenge - Part 1

DOE Office of Scientific and Technical Information (OSTI.GOV)

Masica, Ken; Tom, Steve

Here, the BACnet protocol was designed to achieve interoperability among building automation vendors and evolve over time to include new functionality as well as support new communication technologies such as the Ethernet and IP protocols as they became prevalent and economical in the market place. For large multi-building, multi-vendor campus environments, standardizing on the BACnet protocol as an implementation strategy can be a key component in meeting the challenge of an interoperable, flexible, and scalable building automation system. The interoperability of BACnet is especially important when large campuses with legacy equipment have DDC upgrades to facilities performed over different timemore » frames and use different contractors that install equipment from different vendors under the guidance of different campus HVAC project managers. In these circumstances, BACnet can serve as a common foundation for interoperability when potential variability exists in approaches to the design-build process by numerous parties over time. Likewise, BACnet support for a range of networking protocols and technologies can be a key strategy for achieving flexible and scalable automation systems as campuses and enterprises expand networking infrastructures using standard interoperable protocols like IP and Ethernet.« less

Study and validation of tools interoperability in JPSEC

NASA Astrophysics Data System (ADS)

Conan, V.; Sadourny, Y.; Jean-Marie, K.; Chan, C.; Wee, S.; Apostolopoulos, J.

2005-08-01

Digital imagery is important in many applications today, and the security of digital imagery is important today and is likely to gain in importance in the near future. The emerging international standard ISO/IEC JPEG-2000 Security (JPSEC) is designed to provide security for digital imagery, and in particular digital imagery coded with the JPEG-2000 image coding standard. One of the primary goals of a standard is to ensure interoperability between creators and consumers produced by different manufacturers. The JPSEC standard, similar to the popular JPEG and MPEG family of standards, specifies only the bitstream syntax and the receiver's processing, and not how the bitstream is created or the details of how it is consumed. This paper examines the interoperability for the JPSEC standard, and presents an example JPSEC consumption process which can provide insights in the design of JPSEC consumers. Initial interoperability tests between different groups with independently created implementations of JPSEC creators and consumers have been successful in providing the JPSEC security services of confidentiality (via encryption) and authentication (via message authentication codes, or MACs). Further interoperability work is on-going.

[InlineEquation not available: see fulltext.]-Means Based Fingerprint Segmentation with Sensor Interoperability

NASA Astrophysics Data System (ADS)

Yang, Gongping; Zhou, Guang-Tong; Yin, Yilong; Yang, Xiukun

2010-12-01

A critical step in an automatic fingerprint recognition system is the segmentation of fingerprint images. Existing methods are usually designed to segment fingerprint images originated from a certain sensor. Thus their performances are significantly affected when dealing with fingerprints collected by different sensors. This work studies the sensor interoperability of fingerprint segmentation algorithms, which refers to the algorithm's ability to adapt to the raw fingerprints obtained from different sensors. We empirically analyze the sensor interoperability problem, and effectively address the issue by proposing a [InlineEquation not available: see fulltext.]-means based segmentation method called SKI. SKI clusters foreground and background blocks of a fingerprint image based on the [InlineEquation not available: see fulltext.]-means algorithm, where a fingerprint block is represented by a 3-dimensional feature vector consisting of block-wise coherence, mean, and variance (abbreviated as CMV). SKI also employs morphological postprocessing to achieve favorable segmentation results. We perform SKI on each fingerprint to ensure sensor interoperability. The interoperability and robustness of our method are validated by experiments performed on a number of fingerprint databases which are obtained from various sensors.

Identity Management Systems in Healthcare: The Issue of Patient Identifiers

NASA Astrophysics Data System (ADS)

Soenens, Els

According to a recent recommendation of the European Commission, now is the time for Europe to enhance interoperability in eHealth. Although interoperability of patient identifiers seems promising for matters of patient mobility, patient empowerment and effective access to care, we see that today there is indeed a considerable lack of interoperability in the field of patient identification. Looking from a socio-technical rather than a merely technical point of view, one can understand the fact that the development and implementation of an identity management system in a specific healthcare context is influenced by particular social practices, affected by socio-economical history and the political climate and regulated by specific data protection legislations. Consequently, the process of making patient identification in Europe more interoperable is a development beyond semantic and syntactic levels. In this paper, we gives some examples of today’s patient identifier systems in Europe, discuss the issue of interoperability of (unique) patient identifiers from a socio-technical point of view and try not to ignore the ‘privacy side’ of the story.

The BACnet Campus Challenge - Part 1

DOE PAGES

Masica, Ken; Tom, Steve

2015-12-01

Here, the BACnet protocol was designed to achieve interoperability among building automation vendors and evolve over time to include new functionality as well as support new communication technologies such as the Ethernet and IP protocols as they became prevalent and economical in the market place. For large multi-building, multi-vendor campus environments, standardizing on the BACnet protocol as an implementation strategy can be a key component in meeting the challenge of an interoperable, flexible, and scalable building automation system. The interoperability of BACnet is especially important when large campuses with legacy equipment have DDC upgrades to facilities performed over different timemore » frames and use different contractors that install equipment from different vendors under the guidance of different campus HVAC project managers. In these circumstances, BACnet can serve as a common foundation for interoperability when potential variability exists in approaches to the design-build process by numerous parties over time. Likewise, BACnet support for a range of networking protocols and technologies can be a key strategy for achieving flexible and scalable automation systems as campuses and enterprises expand networking infrastructures using standard interoperable protocols like IP and Ethernet.« less

Facilitating Semantic Interoperability Among Ocean Data Systems: ODIP-R2R Student Outcomes

NASA Astrophysics Data System (ADS)

Stocks, K. I.; Chen, Y.; Shepherd, A.; Chandler, C. L.; Dockery, N.; Elya, J. L.; Smith, S. R.; Ferreira, R.; Fu, L.; Arko, R. A.

2014-12-01

With informatics providing an increasingly important set of tools for geoscientists, it is critical to train the next generation of scientists in information and data techniques. The NSF-supported Rolling Deck to Repository (R2R) Program works with the academic fleet community to routinely document, assess, and preserve the underway sensor data from U.S. research vessels. The Ocean Data Interoperability Platform (ODIP) is an EU-US-Australian collaboration fostering interoperability among regional e-infrastructures through workshops and joint prototype development. The need to align terminology between systems is a common challenge across all of the ODIP prototypes. Five R2R students were supported to address aspects of semantic interoperability within ODIP. Developing a vocabulary matching service that links terms from different vocabularies with similar concept. The service implements Google Refine reconciliation service interface such that users can leverage Google Refine application as a friendly user interface while linking different vocabulary terms. Developing Resource Description Framework (RDF) resources that map Shipboard Automated Meteorological Oceanographic System (SAMOS) vocabularies to internationally served vocabularies. Each SAMOS vocabulary term (data parameter and quality control flag) will be described as an RDF resource page. These RDF resources allow for enhanced discoverability and retrieval of SAMOS data by enabling data searches based on parameter. Improving data retrieval and interoperability by exposing data and mapped vocabularies using Semantic Web technologies. We have collaborated with ODIP participating organizations in order to build a generalized data model that will be used to populate a SPARQL endpoint in order to provide expressive querying over our data files. Mapping local and regional vocabularies used by R2R to those used by ODIP partners. This work is described more fully in a companion poster. Making published Linked Data Web developer-friendly with a RESTful service. This goal was achieved by defining a proxy layer on top of the existing SPARQL endpoint that 1) translates HTTP requests into SPARQL queries, and 2) renders the returned results as required by the request sender using content negotiation, suffixes and parameters.

A federated design for a neurobiological simulation engine: the CBI federated software architecture.

PubMed

Cornelis, Hugo; Coop, Allan D; Bower, James M

2012-01-01

Simulator interoperability and extensibility has become a growing requirement in computational biology. To address this, we have developed a federated software architecture. It is federated by its union of independent disparate systems under a single cohesive view, provides interoperability through its capability to communicate, execute programs, or transfer data among different independent applications, and supports extensibility by enabling simulator expansion or enhancement without the need for major changes to system infrastructure. Historically, simulator interoperability has relied on development of declarative markup languages such as the neuron modeling language NeuroML, while simulator extension typically occurred through modification of existing functionality. The software architecture we describe here allows for both these approaches. However, it is designed to support alternative paradigms of interoperability and extensibility through the provision of logical relationships and defined application programming interfaces. They allow any appropriately configured component or software application to be incorporated into a simulator. The architecture defines independent functional modules that run stand-alone. They are arranged in logical layers that naturally correspond to the occurrence of high-level data (biological concepts) versus low-level data (numerical values) and distinguish data from control functions. The modular nature of the architecture and its independence from a given technology facilitates communication about similar concepts and functions for both users and developers. It provides several advantages for multiple independent contributions to software development. Importantly, these include: (1) Reduction in complexity of individual simulator components when compared to the complexity of a complete simulator, (2) Documentation of individual components in terms of their inputs and outputs, (3) Easy removal or replacement of unnecessary or obsoleted components, (4) Stand-alone testing of components, and (5) Clear delineation of the development scope of new components.

A Federated Design for a Neurobiological Simulation Engine: The CBI Federated Software Architecture

PubMed Central

Cornelis, Hugo; Coop, Allan D.; Bower, James M.

2012-01-01

Simulator interoperability and extensibility has become a growing requirement in computational biology. To address this, we have developed a federated software architecture. It is federated by its union of independent disparate systems under a single cohesive view, provides interoperability through its capability to communicate, execute programs, or transfer data among different independent applications, and supports extensibility by enabling simulator expansion or enhancement without the need for major changes to system infrastructure. Historically, simulator interoperability has relied on development of declarative markup languages such as the neuron modeling language NeuroML, while simulator extension typically occurred through modification of existing functionality. The software architecture we describe here allows for both these approaches. However, it is designed to support alternative paradigms of interoperability and extensibility through the provision of logical relationships and defined application programming interfaces. They allow any appropriately configured component or software application to be incorporated into a simulator. The architecture defines independent functional modules that run stand-alone. They are arranged in logical layers that naturally correspond to the occurrence of high-level data (biological concepts) versus low-level data (numerical values) and distinguish data from control functions. The modular nature of the architecture and its independence from a given technology facilitates communication about similar concepts and functions for both users and developers. It provides several advantages for multiple independent contributions to software development. Importantly, these include: (1) Reduction in complexity of individual simulator components when compared to the complexity of a complete simulator, (2) Documentation of individual components in terms of their inputs and outputs, (3) Easy removal or replacement of unnecessary or obsoleted components, (4) Stand-alone testing of components, and (5) Clear delineation of the development scope of new components. PMID:22242154

Data interoperability software solution for emergency reaction in the Europe Union

NASA Astrophysics Data System (ADS)

Casado, R.; Rubiera, E.; Sacristan, M.; Schütte, F.; Peters, R.

2015-07-01

Emergency management becomes more challenging in international crisis episodes because of cultural, semantic and linguistic differences between all stakeholders, especially first responders. Misunderstandings between first responders makes decision making slower and more difficult. However, spread and development of networks and IT-based emergency management systems (EMSs) have improved emergency responses, which have become more coordinated. Despite improvements made in recent years, EMSs have not still solved problems related to cultural, semantic and linguistic differences which are the real cause of slower decision making. In addition, from a technical perspective, the consolidation of current EMSs and the different formats used to exchange information offers another problem to be solved in any solution proposed for information interoperability between heterogeneous EMSs in different contexts. To overcome these problems, we present a software solution based on semantic and mediation technologies. EMERGency ELements (EMERGEL) (Fundacion CTIC and AntwortING Ingenieurbüro PartG, 2013), a common and modular ontology shared by all the stakeholders, has been defined. It offers the best solution to gather all stakeholders' knowledge in a unique and flexible data model, taking into account different countries' cultural and linguistic issues. To deal with the diversity of data protocols and formats, we have designed a service-oriented architecture for data interoperability (named DISASTER: Data Interoperability Solution At STakeholders Emergency Reaction) providing a flexible extensible solution to solve the mediation issues. Web services have been adopted as specific technology to implement this paradigm that has the most significant academic and industrial visibility and attraction. Contributions of this work have been validated through the design and development of a cross-border realistic prototype scenario, actively involving both emergency managers and emergency-first responders: the Netherlands-Germany border fire.

The Future is Now: OpenTERRAworks - Interoperable 2D/3D Landscape Design Software for Integrated Environmental Modeling

EPA Science Inventory

Human activities involving significant terrain alteration (e.g., earthworks operations associated with mines, urban development, landslides) can lead to broad-ranging changes in the surrounding terrestrial and aquatic environments. Potential aesthetic impacts can be associated wi...

Elements of Network-Based Assessment

ERIC Educational Resources Information Center

Gibson, David

2007-01-01

Elements of network-based assessment systems are envisioned based on recent advances in knowledge and practice in learning theory, assessment design and delivery, and semantic web interoperability. The architecture takes advantage of the meditating role of technology as well as recent models of assessment systems. This overview of the elements…

Mediation, Alignment, and Information Services for Semantic interoperability (MAISSI): A Trade Study

DTIC Science & Technology

2007-06-01

Modeling Notation ( BPMN ) • Business Process Definition Metamodel (BPDM) A Business Process (BP) is a defined sequence of steps to be executed in...enterprise applications, to evaluate the capabilities of suppliers, and to compare against the competition. BPMN standardizes flowchart diagrams that

Managing Complex Interoperability Solutions using Model-Driven Architecture

DTIC Science & Technology

2011-06-01

such as Oracle or MySQL . Each data model for a specific RDBMS is a distinct PSM. Or the system may want to exchange information with other C2...reduced number of transformations, e.g., from an RDBMS physical schema to the corresponding SQL script needed to instantiate the tables in a relational...tance of models. In engineering, a model serves several purposes: 1. It presents an abstract view of a complex system or of a complex information

Conceptual and logical level of database modeling

NASA Astrophysics Data System (ADS)

Hunka, Frantisek; Matula, Jiri

2016-06-01

Conceptual and logical levels form the top most levels of database modeling. Usually, ORM (Object Role Modeling) and ER diagrams are utilized to capture the corresponding schema. The final aim of business process modeling is to store its results in the form of database solution. For this reason, value oriented business process modeling which utilizes ER diagram to express the modeling entities and relationships between them are used. However, ER diagrams form the logical level of database schema. To extend possibilities of different business process modeling methodologies, the conceptual level of database modeling is needed. The paper deals with the REA value modeling approach to business process modeling using ER-diagrams, and derives conceptual model utilizing ORM modeling approach. Conceptual model extends possibilities for value modeling to other business modeling approaches.

A standard satellite control reference model

NASA Technical Reports Server (NTRS)

Golden, Constance

1994-01-01

This paper describes a Satellite Control Reference Model that provides the basis for an approach to identify where standards would be beneficial in supporting space operations functions. The background and context for the development of the model and the approach are described. A process for using this reference model to trace top level interoperability directives to specific sets of engineering interface standards that must be implemented to meet these directives is discussed. Issues in developing a 'universal' reference model are also identified.

Exploring NASA GES DISC Data with Interoperable Services

NASA Technical Reports Server (NTRS)

Zhao, Peisheng; Yang, Wenli; Hegde, Mahabal; Wei, Jennifer C.; Kempler, Steven; Pham, Long; Teng, William; Savtchenko, Andrey

2015-01-01

Overview of NASA GES DISC (NASA Goddard Earth Science Data and Information Services Center) data with interoperable services: Open-standard and Interoperable Services Improve data discoverability, accessibility, and usability with metadata, catalogue and portal standards Achieve data, information and knowledge sharing across applications with standardized interfaces and protocols Open Geospatial Consortium (OGC) Data Services and Specifications Web Coverage Service (WCS) -- data Web Map Service (WMS) -- pictures of data Web Map Tile Service (WMTS) --- pictures of data tiles Styled Layer Descriptors (SLD) --- rendered styles.

Interoperability for Space Mission Monitor and Control: Applying Technologies from Manufacturing Automation and Process Control Industries

NASA Technical Reports Server (NTRS)

Jones, Michael K.

1998-01-01

Various issues associated with interoperability for space mission monitor and control are presented in viewgraph form. Specific topics include: 1) Space Project Mission Operations Control Architecture (SuperMOCA) goals and methods for achieving them; 2) Specifics on the architecture: open standards ad layering, enhancing interoperability, and promoting commercialization; 3) An advertisement; 4) Status of the task - government/industry cooperation and architecture and technology demonstrations; and 5) Key features of messaging services and virtual devices.

Implementation of a metadata architecture and knowledge collection to support semantic interoperability in an enterprise data warehouse.

PubMed

Dhaval, Rakesh; Borlawsky, Tara; Ostrander, Michael; Santangelo, Jennifer; Kamal, Jyoti; Payne, Philip R O

2008-11-06

In order to enhance interoperability between enterprise systems, and improve data validity and reliability throughout The Ohio State University Medical Center (OSUMC), we have initiated the development of an ontology-anchored metadata architecture and knowledge collection for our enterprise data warehouse. The metadata and corresponding semantic relationships stored in the OSUMC knowledge collection are intended to promote consistency and interoperability across the heterogeneous clinical, research, business and education information managed within the data warehouse.

Interoperability challenges for the Sustainable Management of seagrass meadows (Invited)

NASA Astrophysics Data System (ADS)

Nativi, S.; Pastres, R.; Bigagli, L.; Venier, C.; Zucchetta, M.; Santoro, M.

2013-12-01

Seagrass meadows (marine angiosperm plants) occupy less than 0.2% of the global ocean surface, annually store about 10-18% of the so-called 'Blue Carbon', i.e. the Carbon stored in coastal vegetated areas. Recent literature estimates that the flux to the long-term carbon sink in seagrasses represents 10-20% of seagrasses global average production. Such figures can be translated into economic benefits, taking into account that a ton of carbon dioxide in Europe is paid at around 15 € in the carbon market. This means that the organic carbon retained in seagrass sediments in the Mediterranean is worth 138 - 1128 billion €, which represents 6-23 € per square meter. This is 9-35 times more than one square meter of tropical forest soil (0.66 € per square meter), or 5-17 times when considering both the above and the belowground compartments in tropical forests. According the most conservative estimations, about 10% of the Mediterranean meadows have been lost during the last century. In the framework of the GEOSS (Global Earth Observation System of Systems) initiative, the MEDINA project (funded by the European Commission and coordinated by the University of Ca'Foscari in Venice) prepared a showcase as part of the GEOSS Architecture Interoperability Pilot -phase 6 (AIP-6). This showcase aims at providing a tool for the sustainable management of seagrass meadows along the Mediterranean coastline. The application is based on an interoperability framework providing a set of brokerage services to easily ingest and run a Habitat Suitability model (a model predicting the probability a given site to provide a suitable habitat for the development of seagrass meadow and the average coverage expected). The presentation discusses such a framework explaining how the input data is discovered, accessed and processed to ingest the model (developed in the MEDINA project). Furthermore, the brokerage framework provides the necessary services to run the model and visualize results with a low entry barrier for Scientists.

Leveraging Available Technologies for Improved Interoperability and Visualization of Remote Sensing and In-situ Oceanographic data at the PO.DAAC

NASA Astrophysics Data System (ADS)

Tsontos, V. M.; Arms, S. C.; Thompson, C. K.; Quach, N.; Lam, T.

2016-12-01

Earth science applications increasingly rely on the integration of multivariate data from diverse observational platforms. Whether for satellite mission cal/val, science or decision support, the coupling of remote sensing and in-situ field data is integral also to oceanographic workflows. This has prompted archives such as the PO.DAAC, NASA's physical oceanographic data archive, that historically has had a remote sensing focus, to adapt to better accommodate complex field campaign datasets. However, the inherent heterogeneity of in-situ datasets and their variable adherence to meta/data standards poses a significant impediment to interoperability, a problem originating early in the data lifecycle and significantly impacting stewardship and usability of these data long-term. Here we introduce a new initiative underway at PO.DAAC that seeks to catalyze efforts to address these challenges. It involves the enhancement and integration of available high TRL (Technology Readiness level) components for improved interoperability and support of in-situ data with a focus on a novel yet representative class of oceanographic field data: data from electronic tags deployed on a variety of marine species as biological sampling platforms in support of fisheries management and ocean observation efforts. This project seeks to demonstrate, deliver and ultimately sustain operationally a reusable and accessible set of tools to: 1) mediate reconciliation of heterogeneous source data into a tractable number of standardized formats consistent with earth science data standards; 2) harmonize existing metadata models for satellite and field datasets; 3) demonstrate the value added of integrated data access via a range of available tools and services hosted at the PO.DAAC, including a web-based visualization tool for comprehensive mapping of satellite and in-situ data. An innovative part of our project plan involves partnering with the leading electronic tag manufacturer to promote the adoption of appropriate data standards in their processing software. The proposed project thus adopts a model lifecycle approach complimented by broadly applicable technologies to address key data management and interoperability issues for in-situ data

Interoperability Outlook in the Big Data Future

NASA Astrophysics Data System (ADS)

Kuo, K. S.; Ramachandran, R.

2015-12-01

The establishment of distributed active archive centers (DAACs) as data warehouses and the standardization of file format by NASA's Earth Observing System Data Information System (EOSDIS) had doubtlessly propelled interoperability of NASA Earth science data to unprecedented heights in the 1990s. However, we obviously still feel wanting two decades later. We believe the inadequate interoperability we experience is a result of the the current practice that data are first packaged into files before distribution and only the metadata of these files are cataloged into databases and become searchable. Data therefore cannot be efficiently filtered. Any extensive study thus requires downloading large volumes of data files to a local system for processing and analysis.The need to download data not only creates duplication and inefficiency but also further impedes interoperability, because the analysis has to be performed locally by individual researchers in individual institutions. Each institution or researcher often has its/his/her own preference in the choice of data management practice as well as programming languages. Analysis results (derived data) so produced are thus subject to the differences of these practices, which later form formidable barriers to interoperability. A number of Big Data technologies are currently being examined and tested to address Big Earth Data issues. These technologies share one common characteristics: exploiting compute and storage affinity to more efficiently analyze large volumes and great varieties of data. Distributed active "archive" centers are likely to evolve into distributed active "analysis" centers, which not only archive data but also provide analysis service right where the data reside. "Analysis" will become the more visible function of these centers. It is thus reasonable to expect interoperability to improve because analysis, in addition to data, becomes more centralized. Within a "distributed active analysis center" interoperability is almost guaranteed because data, analysis, and results all can be readily shared and reused. Effectively, with the establishment of "distributed active analysis centers", interoperation turns from a many-to-many problem into a less complicated few-to-few problem and becomes easier to solve.

Seeking the Path to Metadata Nirvana

NASA Astrophysics Data System (ADS)

Graybeal, J.

2008-12-01

Scientists have always found reusing other scientists' data challenging. Computers did not fundamentally change the problem, but enabled more and larger instances of it. In fact, by removing human mediation and time delays from the data sharing process, computers emphasize the contextual information that must be exchanged in order to exchange and reuse data. This requirement for contextual information has two faces: "interoperability" when talking about systems, and "the metadata problem" when talking about data. As much as any single organization, the Marine Metadata Interoperability (MMI) project has been tagged with the mission "Solve the metadata problem." Of course, if that goal is achieved, then sustained, interoperable data systems for interdisciplinary observing networks can be easily built -- pesky metadata differences, like which protocol to use for data exchange, or what the data actually measures, will be a thing of the past. Alas, as you might imagine, there will always be complexities and incompatibilities that are not addressed, and data systems that are not interoperable, even within a science discipline. So should we throw up our hands and surrender to the inevitable? Not at all. Rather, we try to minimize metadata problems as much as we can. In this we increasingly progress, despite natural forces that pull in the other direction. Computer systems let us work with more complexity, build community knowledge and collaborations, and preserve and publish our progress and (dis-)agreements. Funding organizations, science communities, and technologists see the importance interoperable systems and metadata, and direct resources toward them. With the new approaches and resources, projects like IPY and MMI can simultaneously define, display, and promote effective strategies for sustainable, interoperable data systems. This presentation will outline the role metadata plays in durable interoperable data systems, for better or worse. It will describe times when "just choosing a standard" can work, and when it probably won't work. And it will point out signs that suggest a metadata storm is coming to your community project, and how you might avoid it. From these lessons we will seek a path to producing interoperable, interdisciplinary, metadata-enlightened environment observing systems.

Delivering digital health and well-being at scale: lessons learned during the implementation of the dallas program in the United Kingdom

PubMed Central

Devlin, Alison M; McGee-Lennon, Marilyn; O’Donnell, Catherine A; Bouamrane, Matt-Mouley; Agbakoba, Ruth; O’Connor, Siobhan; Grieve, Eleanor; Finch, Tracy; Wyke, Sally; Watson, Nicholas; Browne, Susan

2016-01-01

Objective To identify implementation lessons from the United Kingdom Delivering Assisted Living Lifestyles at Scale (dallas) program—a large-scale, national technology program that aims to deliver a broad range of digital services and products to the public to promote health and well-being. Materials and Methods Prospective, longitudinal qualitative research study investigating implementation processes. Qualitative data collected includes semi-structured e-Health Implementation Toolkit–led interviews at baseline/mid-point (n = 38), quarterly evaluation, quarterly technical and barrier and solutions reports, observational logs, quarterly evaluation alignment interviews with project leads, observational data collected during meetings, and ethnographic data from dallas events (n > 200 distinct pieces of qualitative data). Data analysis was guided by Normalization Process Theory, a sociological theory that aids conceptualization of implementation issues in complex healthcare settings. Results Five key challenges were identified: 1) The challenge of establishing and maintaining large heterogeneous, multi-agency partnerships to deliver new models of healthcare; 2) The need for resilience in the face of barriers and set-backs including the backdrop of continually changing external environments; 3) The inherent tension between embracing innovative co-design and achieving delivery at pace and at scale; 4) The effects of branding and marketing issues in consumer healthcare settings; and 5) The challenge of interoperability and information governance, when commercial proprietary models are dominant. Conclusions The magnitude and ambition of the dallas program provides a unique opportunity to investigate the macro level implementation challenges faced when designing and delivering digital health and wellness services at scale. Flexibility, adaptability, and resilience are key implementation facilitators when shifting to new digitally enabled models of care. PMID:26254480

Delivering digital health and well-being at scale: lessons learned during the implementation of the dallas program in the United Kingdom.

PubMed

Devlin, Alison M; McGee-Lennon, Marilyn; O'Donnell, Catherine A; Bouamrane, Matt-Mouley; Agbakoba, Ruth; O'Connor, Siobhan; Grieve, Eleanor; Finch, Tracy; Wyke, Sally; Watson, Nicholas; Browne, Susan; Mair, Frances S

2016-01-01

To identify implementation lessons from the United Kingdom Delivering Assisted Living Lifestyles at Scale (dallas) program-a large-scale, national technology program that aims to deliver a broad range of digital services and products to the public to promote health and well-being. Prospective, longitudinal qualitative research study investigating implementation processes. Qualitative data collected includes semi-structured e-Health Implementation Toolkit-led interviews at baseline/mid-point (n = 38), quarterly evaluation, quarterly technical and barrier and solutions reports, observational logs, quarterly evaluation alignment interviews with project leads, observational data collected during meetings, and ethnographic data from dallas events (n > 200 distinct pieces of qualitative data). Data analysis was guided by Normalization Process Theory, a sociological theory that aids conceptualization of implementation issues in complex healthcare settings. Five key challenges were identified: 1) The challenge of establishing and maintaining large heterogeneous, multi-agency partnerships to deliver new models of healthcare; 2) The need for resilience in the face of barriers and set-backs including the backdrop of continually changing external environments; 3) The inherent tension between embracing innovative co-design and achieving delivery at pace and at scale; 4) The effects of branding and marketing issues in consumer healthcare settings; and 5) The challenge of interoperability and information governance, when commercial proprietary models are dominant. The magnitude and ambition of the dallas program provides a unique opportunity to investigate the macro level implementation challenges faced when designing and delivering digital health and wellness services at scale. Flexibility, adaptability, and resilience are key implementation facilitators when shifting to new digitally enabled models of care. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.

Archetype Model-Driven Development Framework for EHR Web System.

PubMed

Kobayashi, Shinji; Kimura, Eizen; Ishihara, Ken

2013-12-01

This article describes the Web application framework for Electronic Health Records (EHRs) we have developed to reduce construction costs for EHR sytems. The openEHR project has developed clinical model driven architecture for future-proof interoperable EHR systems. This project provides the specifications to standardize clinical domain model implementations, upon which the ISO/CEN 13606 standards are based. The reference implementation has been formally described in Eiffel. Moreover C# and Java implementations have been developed as reference. While scripting languages had been more popular because of their higher efficiency and faster development in recent years, they had not been involved in the openEHR implementations. From 2007, we have used the Ruby language and Ruby on Rails (RoR) as an agile development platform to implement EHR systems, which is in conformity with the openEHR specifications. We implemented almost all of the specifications, the Archetype Definition Language parser, and RoR scaffold generator from archetype. Although some problems have emerged, most of them have been resolved. We have provided an agile EHR Web framework, which can build up Web systems from archetype models using RoR. The feasibility of the archetype model to provide semantic interoperability of EHRs has been demonstrated and we have verified that that it is suitable for the construction of EHR systems.

Assessment of Alternative Conceptual Models Using Reactive Transport Modeling with Monitoring Data

NASA Astrophysics Data System (ADS)

Dai, Z.; Price, V.; Heffner, D.; Hodges, R.; Temples, T.; Nicholson, T.

2005-12-01

Monitoring data proved very useful in evaluating alternative conceptual models, simulating contaminant transport behavior, and reducing uncertainty. A graded approach using three alternative conceptual site models was formulated to simulate a field case of tetrachloroethene (PCE) transport and biodegradation. These models ranged from simple to complex in their representation of subsurface heterogeneities. The simplest model was a single-layer homogeneous aquifer that employed an analytical reactive transport code, BIOCHLOR (Aziz et al., 1999). Due to over-simplification of the aquifer structure, this simulation could not reproduce the monitoring data. The second model consisted of a multi-layer conceptual model, in combination with numerical modules, MODFLOW and RT3D within GMS, to simulate flow and reactive transport. Although the simulation results from the second model were comparatively better than those from the simple model, they still did not adequately reproduce the monitoring well concentrations because the geological structures were still inadequately defined. Finally, a more realistic conceptual model was formulated that incorporated heterogeneities and geologic structures identified from well logs and seismic survey data using the Petra and PetraSeis software. This conceptual model included both a major channel and a younger channel that were detected in the PCE source area. In this model, these channels control the local ground-water flow direction and provide a preferential chemical transport pathway. Simulation results using this conceptual site model proved compatible with the monitoring concentration data. This study demonstrates that the bias and uncertainty from inadequate conceptual models are much larger than those introduced from an inadequate choice of model parameter values (Neuman and Wierenga, 2003; Meyer et al., 2004; Ye et al., 2004). This case study integrated conceptual and numerical models, based on interpreted local hydrogeologic and geochemical data, with detailed monitoring plume data. It provided key insights for confirming alternative conceptual site models and assessing the performance of monitoring networks. A monitoring strategy based on this graded approach for assessing alternative conceptual models can provide the technical bases for identifying critical monitoring locations, adequate monitoring frequency, and performance indicator parameters for performance monitoring involving ground-water levels and PCE concentrations.

A Structural Equation Model of Conceptual Change in Physics

ERIC Educational Resources Information Center

Taasoobshirazi, Gita; Sinatra, Gale M.

2011-01-01

A model of conceptual change in physics was tested on introductory-level, college physics students. Structural equation modeling was used to test hypothesized relationships among variables linked to conceptual change in physics including an approach goal orientation, need for cognition, motivation, and course grade. Conceptual change in physics…

Connecting the clinical IT infrastructure to a service-oriented architecture of medical devices.

PubMed

Andersen, Björn; Kasparick, Martin; Ulrich, Hannes; Franke, Stefan; Schlamelcher, Jan; Rockstroh, Max; Ingenerf, Josef

2018-02-23

The new medical device communication protocol known as IEEE 11073 SDC is well-suited for the integration of (surgical) point-of-care devices, so are the established Health Level Seven (HL7) V2 and Digital Imaging and Communications in Medicine (DICOM) standards for the communication of systems in the clinical IT infrastructure (CITI). An integrated operating room (OR) and other integrated clinical environments, however, need interoperability between both domains to fully unfold their potential for improving the quality of care as well as clinical workflows. This work thus presents concepts for the propagation of clinical and administrative data to medical devices, physiologic measurements and device parameters to clinical IT systems, as well as image and multimedia content in both directions. Prototypical implementations of the derived components have proven to integrate well with systems of networked medical devices and with the CITI, effectively connecting these heterogeneous domains. Our qualitative evaluation indicates that the interoperability concepts are suitable to be integrated into clinical workflows and are expected to benefit patients and clinicians alike. The upcoming HL7 Fast Healthcare Interoperability Resources (FHIR) communication standard will likely change the domain of clinical IT significantly. A straightforward mapping to its resource model thus ensures the tenability of these concepts despite a foreseeable change in demand and requirements.

Systems biology driven software design for the research enterprise.

PubMed

Boyle, John; Cavnor, Christopher; Killcoyne, Sarah; Shmulevich, Ilya

2008-06-25

In systems biology, and many other areas of research, there is a need for the interoperability of tools and data sources that were not originally designed to be integrated. Due to the interdisciplinary nature of systems biology, and its association with high throughput experimental platforms, there is an additional need to continually integrate new technologies. As scientists work in isolated groups, integration with other groups is rarely a consideration when building the required software tools. We illustrate an approach, through the discussion of a purpose built software architecture, which allows disparate groups to reuse tools and access data sources in a common manner. The architecture allows for: the rapid development of distributed applications; interoperability, so it can be used by a wide variety of developers and computational biologists; development using standard tools, so that it is easy to maintain and does not require a large development effort; extensibility, so that new technologies and data types can be incorporated; and non intrusive development, insofar as researchers need not to adhere to a pre-existing object model. By using a relatively simple integration strategy, based upon a common identity system and dynamically discovered interoperable services, a light-weight software architecture can become the focal point through which scientists can both get access to and analyse the plethora of experimentally derived data.

An observational study of the relationship between meaningful use-based electronic health information exchange, interoperability, and medication reconciliation capabilities.

PubMed

Elysee, Gerald; Herrin, Jeph; Horwitz, Leora I

2017-10-01

Stagnation in hospitals' adoption of data integration functionalities coupled with reduction in the number of operational health information exchanges could become a significant impediment to hospitals' adoption of 3 critical capabilities: electronic health information exchange, interoperability, and medication reconciliation, in which electronic systems are used to assist with resolving medication discrepancies and improving patient safety. Against this backdrop, we assessed the relationships between the 3 capabilities.We conducted an observational study applying partial least squares-structural equation modeling technique to 27 variables obtained from the 2013 American Hospital Association annual survey Information Technology (IT) supplement, which describes health IT capabilities.We included 1330 hospitals. In confirmatory factor analysis, out of the 27 variables, 15 achieved loading values greater than 0.548 at P < .001, as such were validated as the building blocks of the 3 capabilities. Subsequent path analysis showed a significant, positive, and cyclic relationship between the capabilities, in that decreases in the hospitals' adoption of one would lead to decreases in the adoption of the others.These results show that capability for high quality medication reconciliation may be impeded by lagging adoption of interoperability and health information exchange capabilities. Policies focused on improving one or more of these capabilities may have ancillary benefits.

Using a logical information model-driven design process in healthcare.

PubMed

Cheong, Yu Chye; Bird, Linda; Tun, Nwe Ni; Brooks, Colleen

2011-01-01

A hybrid standards-based approach has been adopted in Singapore to develop a Logical Information Model (LIM) for healthcare information exchange. The Singapore LIM uses a combination of international standards, including ISO13606-1 (a reference model for electronic health record communication), ISO21090 (healthcare datatypes), SNOMED CT (healthcare terminology) and HL7 v2 (healthcare messaging). This logic-based design approach also incorporates mechanisms for achieving bi-directional semantic interoperability.

Designing a Distributed Space Systems Simulation in Accordance with the Simulation Interoperability Standards Organization (SISO)

NASA Technical Reports Server (NTRS)

Cowen, Benjamin

2011-01-01

Simulations are essential for engineering design. These virtual realities provide characteristic data to scientists and engineers in order to understand the details and complications of the desired mission. A standard development simulation package known as Trick is used in developing a source code to model a component (federate in HLA terms). The runtime executive is integrated into an HLA based distributed simulation. TrickHLA is used to extend a Trick simulation for a federation execution, develop a source code for communication between federates, as well as foster data input and output. The project incorporates international cooperation along with team collaboration. Interactions among federates occur throughout the simulation, thereby relying on simulation interoperability. Communication through the semester went on between participants to figure out how to create this data exchange. The NASA intern team is designing a Lunar Rover federate and a Lunar Shuttle federate. The Lunar Rover federate supports transportation across the lunar surface and is essential for fostering interactions with other federates on the lunar surface (Lunar Shuttle, Lunar Base Supply Depot and Mobile ISRU Plant) as well as transporting materials to the desired locations. The Lunar Shuttle federate transports materials to and from lunar orbit. Materials that it takes to the supply depot include fuel and cargo necessary to continue moon-base operations. This project analyzes modeling and simulation technologies as well as simulation interoperability. Each team from participating universities will work on and engineer their own federate(s) to participate in the SISO Spring 2011 Workshop SIW Smackdown in Boston, Massachusetts. This paper will focus on the Lunar Rover federate.

Exploring the Lack of Interoperability of Databases within Department of Homeland Security Interagency Environment Concerning Maritime Port Security

DTIC Science & Technology

2009-03-01

37 Figure 8 New Information Sharing Model from United States Intelligence Community Information Sharing...PRIDE while the Coast Guard has MISSLE and the newly constructed WATCHKEEPER. All these databases contain intelligence on incoming vessels...decisions making. Experts rely heavily on future projections as hallmarks of skilled performance." (Endsley et al. 2006) The SA model above

Interoperability and different ways of knowing: How semantics can aid in cross-cultural understanding

NASA Astrophysics Data System (ADS)

Pulsifer, P. L.; Parsons, M. A.; Duerr, R. E.; Fox, P. A.; Khalsa, S. S.; McCusker, J. P.; McGuinness, D. L.

2012-12-01

To address interoperability, we first need to understand how human perspectives and worldviews influence the way people conceive of and describe geophysical phenomena. There is never a single, unambiguous description of a phenomenon - the terminology used is based on the relationship people have with it and what their interests are. So how can these perspectives be reconciled in a way that is not only clear to different people but also formally described so that information systems can interoperate? In this paper we explore conceptions of Arctic sea ice as a means of exploring these issues. We examine multiple conceptions of sea ice and related processes as fundamental components of the Earth system. Arctic sea ice is undergoing rapid and dramatic decline. This will have huge impact on climate and biological systems as well as on shipping, exploration, human culture, and geopolitics. Local hunters, operational shipping forecasters, global climate researchers, and others have critical needs for sea ice data and information, but they conceive of, and describe sea ice phenomena in very different ways. Our hypothesis is that formally representing these diverse conceptions in a suite of formal ontologies can help facilitate sharing of information across communities and enhance overall Arctic data interoperability. We present initial work to model operational, research, and Indigenous (Iñupiat and Yup'ik) concepts of sea ice phenomena and data. Our results illustrate important and surprising differences in how these communities describe and represent sea ice, and we describe our approach to resolving incongruities and inconsistencies. We begin by exploring an intriguing information artifact, the World Meteorological Organization "egg code". The egg code is a compact, information rich way of illustrating detailed ice conditions that has been used broadly for a century. There is much agreement on construction and content encoding, but there are important regional differences in its application. Furthermore, it is an analog encoding scheme whose meaning has evolved over time. By semantically modeling the egg code, its subtle variations, and how it connects to other data, we illustrate a mechanism for translating across data formats and representations. But there are limits to what semantically modeling the egg-code can achieve. The egg-code and common operational sea ice formats do not address community needs, notably the timing and processes of sea ice freeze-up and break-up which have profound impact on local hunting, shipping, oil exploration, and safety. We work with local experts from four very different Indigenous communities and scientific creators of sea ice forecasts to establish an understanding of concepts and terminology related to fall freeze-up and spring break up from the individually represented regions. This helps expand our conceptions of sea ice while also aiding in understanding across cultures and communities, and in passing knowledge to younger generations. This is an early step to expanding concepts of interoperability to very different ways of knowing to make data truly relevant and locally useful.

Transportation communications interoperability : phase 2, resource evaluation.

DOT National Transportation Integrated Search

2006-12-01

Based on the Arizona Department of Transportations (ADOT) previous SPR-561 Needs Assessment study, this : report continues the efforts to enhance radio interoperability between Department of Public Safety (DPS) Highway : Patrol officers and ...

Analysis of OPACITY and PLAID Protocols for Contactless Smart Cards

DTIC Science & Technology

2012-09-01

9 3. Access Control ........................................................................ 9 E . THREATS AND...Synchronization .............................. 23 c. Simple Integration and Interoperability ..................... 24 E . MODES OF OPERATION...Interoperability ..................... 47 E . MODES OF OPERATIONS ................................................................ 47 F. SUGGESTED KEY

Challenges in Archetypes Terminology Binding Using SNOMED-CT Compositional Grammar: The Norwegian Patient Summary Case.

PubMed

Marco-Ruiz, Luis; Pedersen, Rune

2017-01-01

In order to cover the requirements for interoperability in the Norwegian context, we studied the terminology binding of archetypes to terminology expressions created with the SNOMED-CT compositional grammar. As a result we identified important challenges categorized as technical, expressivity, human, and models mismatch.

--No Title--

Science.gov Websites

interoperability emerging infrastructure for data management on computational grids Software Packages Services : ATLAS: Management and Steering: Computing Management Board Software Project Management Board Database Model Group Computing TDR: 4.5 Event Data 4.8 Database and Data Management Services 6.3.4 Production and

Reusable Models of Pedagogical Concepts--A Framework for Pedagogical and Content Design.

ERIC Educational Resources Information Center

Pawlowski, Jan M.

Standardization initiatives in the field of learning technologies have produced standards for the interoperability of learning environments and learning management systems. Learning resources based on these standards can be reused, recombined, and adapted to the user. However, these standards follow a content-oriented approach; the process of…

Plugfest 2009: Global Interoperability in Telerobotics and Telemedicine

PubMed Central

King, H. Hawkeye; Hannaford, Blake; Kwok, Ka-Wai; Yang, Guang-Zhong; Griffiths, Paul; Okamura, Allison; Farkhatdinov, Ildar; Ryu, Jee-Hwan; Sankaranarayanan, Ganesh; Arikatla, Venkata; Tadano, Kotaro; Kawashima, Kenji; Peer, Angelika; Schauß, Thomas; Buss, Martin; Miller, Levi; Glozman, Daniel; Rosen, Jacob; Low, Thomas

2014-01-01

Despite the great diversity of teleoperator designs and applications, their underlying control systems have many similarities. These similarities can be exploited to enable inter-operability between heterogeneous systems. We have developed a network data specification, the Interoperable Telerobotics Protocol, that can be used for Internet based control of a wide range of teleoperators. In this work we test interoperable telerobotics on the global Internet, focusing on the telesurgery application domain. Fourteen globally dispersed telerobotic master and slave systems were connected in thirty trials in one twenty four hour period. Users performed common manipulation tasks to demonstrate effective master-slave operation. With twenty eight (93%) successful, unique connections the results show a high potential for standardizing telerobotic operation. Furthermore, new paradigms for telesurgical operation and training are presented, including a networked surgery trainer and upper-limb exoskeleton control of micro-manipulators. PMID:24748993

Architecture for interoperable software in biology.

PubMed

Bare, James Christopher; Baliga, Nitin S

2014-07-01

Understanding biological complexity demands a combination of high-throughput data and interdisciplinary skills. One way to bring to bear the necessary combination of data types and expertise is by encapsulating domain knowledge in software and composing that software to create a customized data analysis environment. To this end, simple flexible strategies are needed for interconnecting heterogeneous software tools and enabling data exchange between them. Drawing on our own work and that of others, we present several strategies for interoperability and their consequences, in particular, a set of simple data structures--list, matrix, network, table and tuple--that have proven sufficient to achieve a high degree of interoperability. We provide a few guidelines for the development of future software that will function as part of an interoperable community of software tools for biological data analysis and visualization. © The Author 2012. Published by Oxford University Press.

The Long Road to Semantic Interoperability in Support of Public Health: Experiences from Two States

PubMed Central

Vreeman, Daniel J.; Grannis, Shaun J.

2014-01-01

Proliferation of health information technologies creates opportunities to improve clinical and public health, including high quality, safer care and lower costs. To maximize such potential benefits, health information technologies must readily and reliably exchange information with other systems. However, evidence from public health surveillance programs in two states suggests that operational clinical information systems often fail to use available standards, a barrier to semantic interoperability. Furthermore, analysis of existing policies incentivizing semantic interoperability suggests they have limited impact and are fragmented. In this essay, we discuss three approaches for increasing semantic interoperability to support national goals for using health information technologies. A clear, comprehensive strategy requiring collaborative efforts by clinical and public health stakeholders is suggested as a guide for the long road towards better population health data and outcomes. PMID:24680985

Geoscience Information Network (USGIN) Solutions for Interoperable Open Data Access Requirements

NASA Astrophysics Data System (ADS)

Allison, M. L.; Richard, S. M.; Patten, K.

2014-12-01

The geosciences are leading development of free, interoperable open access to data. US Geoscience Information Network (USGIN) is a freely available data integration framework, jointly developed by the USGS and the Association of American State Geologists (AASG), in compliance with international standards and protocols to provide easy discovery, access, and interoperability for geoscience data. USGIN standards include the geologic exchange language 'GeoSciML' (v 3.2 which enables instant interoperability of geologic formation data) which is also the base standard used by the 117-nation OneGeology consortium. The USGIN deployment of NGDS serves as a continent-scale operational demonstration of the expanded OneGeology vision to provide access to all geoscience data worldwide. USGIN is developed to accommodate a variety of applications; for example, the International Renewable Energy Agency streams data live to the Global Atlas of Renewable Energy. Alternatively, users without robust data sharing systems can download and implement a free software packet, "GINstack" to easily deploy web services for exposing data online for discovery and access. The White House Open Data Access Initiative requires all federally funded research projects and federal agencies to make their data publicly accessible in an open source, interoperable format, with metadata. USGIN currently incorporates all aspects of the Initiative as it emphasizes interoperability. The system is successfully deployed as the National Geothermal Data System (NGDS), officially launched at the White House Energy Datapalooza in May, 2014. The USGIN Foundation has been established to ensure this technology continues to be accessible and available.

Establishment of Requirements and Methodology for the Development and Implementation of GreyMatters, a Memory Clinic Information System.

PubMed

Tapuria, Archana; Evans, Matt; Curcin, Vasa; Austin, Tony; Lea, Nathan; Kalra, Dipak

2017-01-01

The aim of the paper is to establish the requirements and methodology for the development process of GreyMatters, a memory clinic system, outlining the conceptual, practical, technical and ethical challenges, and the experiences of capturing clinical and research oriented data along with the implementation of the system. The methodology for development of the information system involved phases of requirements gathering, modeling and prototype creation, and 'bench testing' the prototype with experts. The standard Institute of Electrical and Electronics Engineers (IEEE) recommended approach for the specifications of software requirements was adopted. An electronic health record (EHR) standard, EN13606 was used, and clinical modelling was done through archetypes and the project complied with data protection and privacy legislation. The requirements for GreyMatters were established. Though the initial development was complex, the requirements, methodology and standards adopted made the construction, deployment, adoption and population of a memory clinic and research database feasible. The electronic patient data including the assessment scales provides a rich source of objective data for audits and research and to establish study feasibility and identify potential participants for the clinical trials. The establishment of requirements and methodology, addressing issues of data security and confidentiality, future data compatibility and interoperability and medico-legal aspects such as access controls and audit trails, led to a robust and useful system. The evaluation supports that the system is an acceptable tool for clinical, administrative, and research use and forms a useful part of the wider information architecture.

Derivation of a GIS-based watershed-scale conceptual model for the St. Jones River Delaware from habitat-scale conceptual models.

PubMed

Reiter, Michael A; Saintil, Max; Yang, Ziming; Pokrajac, Dragoljub

2009-08-01

Conceptual modeling is a useful tool for identifying pathways between drivers, stressors, Valued Ecosystem Components (VECs), and services that are central to understanding how an ecosystem operates. The St. Jones River watershed, DE is a complex ecosystem, and because management decisions must include ecological, social, political, and economic considerations, a conceptual model is a good tool for accommodating the full range of inputs. In 2002, a Four-Component, Level 1 conceptual model was formed for the key habitats of the St. Jones River watershed, but since the habitat level of resolution is too fine for some important watershed-scale issues we developed a functional watershed-scale model using the existing narrowed habitat-scale models. The narrowed habitat-scale conceptual models and associated matrices developed by Reiter et al. (2006) were combined with data from the 2002 land use/land cover (LULC) GIS-based maps of Kent County in Delaware to assemble a diagrammatic and numerical watershed-scale conceptual model incorporating the calculated weight of each habitat within the watershed. The numerical component of the assembled watershed model was subsequently subjected to the same Monte Carlo narrowing methodology used for the habitat versions to refine the diagrammatic component of the watershed-scale model. The narrowed numerical representation of the model was used to generate forecasts for changes in the parameters "Agriculture" and "Forest", showing that land use changes in these habitats propagated through the results of the model by the weighting factor. Also, the narrowed watershed-scale conceptual model identified some key parameters upon which to focus research attention and management decisions at the watershed scale. The forecast and simulation results seemed to indicate that the watershed-scale conceptual model does lead to different conclusions than the habitat-scale conceptual models for some issues at the larger watershed scale.

Conceptual Frameworks in the Doctoral Research Process: A Pedagogical Model

ERIC Educational Resources Information Center

Berman, Jeanette; Smyth, Robyn

2015-01-01

This paper contributes to consideration of the role of conceptual frameworks in the doctoral research process. Through reflection on the two authors' own conceptual frameworks for their doctoral studies, a pedagogical model has been developed. The model posits the development of a conceptual framework as a core element of the doctoral…

Moving Beyond the 10,000 Ways That Don't Work

NASA Astrophysics Data System (ADS)

Bermudez, L. E.; Arctur, D. K.; Rueda, C.

2009-12-01

From his research in developing light bulb filaments, Thomas Edison provide us with a good lesson to advance any venture. He said "I have not failed, I've just found 10,000 ways that won't work." Advancing data and access interoperability is one of those ventures difficult to achieve because of the differences among the participating communities. Even within the marine domain, different communities exist and with them different technologies (formats and protocols) to publish data and its descriptions, and different vocabularies to name things (e.g. parameters, sensor types). Simplifying the heterogeneity of technologies is not only accomplished by adopting standards, but by creating profiles, and advancing tools that use those standards. In some cases, standards are advanced by building from existing tools. But what is the best strategy? Edison could provide us a hint. Prototypes and test beds are essential to achieve interoperability among geospatial communities. The Open Geospatial Consortium (OGC) calls them interoperability experiments. The World Wide Web Consortium (W3C) calls them incubator projects. Prototypes help test and refine specifications. The Marine Metadata Interoperability (MMI) Initiative, which is advancing marine data integration and re-use by promoting community solutions, understood this strategy and started an interoperability demonstration with the SURA Coastal Ocean Observing and Prediction (SCOOP) program. This interoperability demonstration transformed into the OGC Ocean Science Interoperability Experiment (Oceans IE). The Oceans IE brings together the Ocean-Observing community to advance interoperability of ocean observing systems by using OGC Standards. The Oceans IE Phase I investigated the use of OGC Web Feature Service (WFS) and OGC Sensor Observation Service (SOS) standards for representing and exchanging point data records from fixed in-situ marine platforms. The Oceans IE Phase I produced an engineering best practices report, advanced reference implementations, and submitted various change requests that are now being considered by the OGC SOS working group. Building on Phase I, and with a focus on semantically-enabled services, Oceans IE Phase II will continue the use and improvement of OGC specifications in the marine community. We will present the lessons learned and in particular the strategy of experimenting with technologies to advance standards to publish data in marine communities, which could also help advance interoperability in other geospatial communities. We will also discuss the growing collaborations among ocean-observing standards organizations that will bring about the institutional acceptance needed for these technologies and practices to gain traction globally.

Special issue on enabling open and interoperable access to Planetary Science and Heliophysics databases and tools

NASA Astrophysics Data System (ADS)

2018-01-01

The large amount of data generated by modern space missions calls for a change of organization of data distribution and access procedures. Although long term archives exist for telescopic and space-borne observations, high-level functions need to be developed on top of these repositories to make Planetary Science and Heliophysics data more accessible and to favor interoperability. Results of simulations and reference laboratory data also need to be integrated to support and interpret the observations. Interoperable software and interfaces have recently been developed in many scientific domains. The Virtual Observatory (VO) interoperable standards developed for Astronomy by the International Virtual Observatory Alliance (IVOA) can be adapted to Planetary Sciences, as demonstrated by the VESPA (Virtual European Solar and Planetary Access) team within the Europlanet-H2020-RI project. Other communities have developed their own standards: GIS (Geographic Information System) for Earth and planetary surfaces tools, SPASE (Space Physics Archive Search and Extract) for space plasma, PDS4 (NASA Planetary Data System, version 4) and IPDA (International Planetary Data Alliance) for planetary mission archives, etc, and an effort to make them interoperable altogether is starting, including automated workflows to process related data from different sources.

A SOA-Based Platform to Support Clinical Data Sharing.

PubMed

Gazzarata, R; Giannini, B; Giacomini, M

2017-01-01

The eSource Data Interchange Group, part of the Clinical Data Interchange Standards Consortium, proposed five scenarios to guide stakeholders in the development of solutions for the capture of eSource data. The fifth scenario was subdivided into four tiers to adapt the functionality of electronic health records to support clinical research. In order to develop a system belonging to the "Interoperable" Tier, the authors decided to adopt the service-oriented architecture paradigm to support technical interoperability, Health Level Seven Version 3 messages combined with LOINC (Logical Observation Identifiers Names and Codes) vocabulary to ensure semantic interoperability, and Healthcare Services Specification Project standards to provide process interoperability. The developed architecture enhances the integration between patient-care practice and medical research, allowing clinical data sharing between two hospital information systems and four clinical data management systems/clinical registries. The core is formed by a set of standardized cloud services connected through standardized interfaces, involving client applications. The system was approved by a medical staff, since it reduces the workload for the management of clinical trials. Although this architecture can realize the "Interoperable" Tier, the current solution actually covers the "Connected" Tier, due to local hospital policy restrictions.

PharmML in Action: an Interoperable Language for Modeling and Simulation

PubMed Central

Bizzotto, R; Smith, G; Yvon, F; Kristensen, NR; Swat, MJ

2017-01-01

PharmML1 is an XML‐based exchange format2, 3, 4 created with a focus on nonlinear mixed‐effect (NLME) models used in pharmacometrics,5, 6 but providing a very general framework that also allows describing mathematical and statistical models such as single‐subject or nonlinear and multivariate regression models. This tutorial provides an overview of the structure of this language, brief suggestions on how to work with it, and use cases demonstrating its power and flexibility. PMID:28575551

Integration of Schemas on the Pre-Design Level Using the KCPM-Approach

NASA Astrophysics Data System (ADS)

Vöhringer, Jürgen; Mayr, Heinrich C.

Integration is a central research and operational issue in information system design and development. It can be conducted on the system, schema, and view or data level. On the system level, integration deals with the progressive linking and testing of system components to merge their functional and technical characteristics and behavior into a comprehensive, interoperable system. Schema integration comprises the comparison and merging of two or more schemas, usually conceptual database schemas. The integration of data deals with merging the contents of multiple sources of related data. View integration is similar to schema integration, however focuses on views and queries on these instead of schemas. All these types of integration have in common, that two or more sources are merged and previously compared, in order to identify matches and mismatches as well as conflicts and inconsistencies. The sources may stem from heterogeneous companies, organizational units or projects. Integration enables the reuse and combined use of source components.

Innovative designs for the smart ICU: Part 3: Advanced ICU informatics.

PubMed

Halpern, Neil A

2014-04-01

This third and final installment of this series on innovative designs for the smart ICU addresses the steps involved in conceptualizing, actualizing, using, and maintaining the advanced ICU informatics infrastructure and systems. The smart ICU comprehensively and electronically integrates the patient in the ICU with all aspects of care, displays data in a variety of formats, converts data to actionable information, uses data proactively to enhance patient safety, and monitors the ICU environment to facilitate patient care and ICU management. The keys to success in this complex informatics design process include an understanding of advanced informatics concepts, sophisticated planning, installation of a robust infrastructure capable of both connectivity and interoperability, and implementation of middleware solutions that provide value. Although new technologies commonly appear compelling, they are also complicated and challenging to incorporate within existing or evolving hospital informatics systems. Therefore, careful analysis, deliberate testing, and a phased approach to the implementation of innovative technologies are necessary to achieve the multilevel solutions of the smart ICU.

Wrestling With a Paradox: Complexity in Interoperability Standards Making for Healthcare Information Systems

NASA Astrophysics Data System (ADS)

Pittaway, Jeff; Archer, Norm

Medical interventions are often delayed or erroneous when information needed for diagnosing or prescribing is missing or unavailable. In support of increased information flows, the healthcare industry has invested substantially in standards intended to specify, routinize, and make uniform the type and format of medical information in clinical healthcare information systems such as Electronic Medical Record systems (EMRs). However, fewer than one in four Canadian physicians have adopted EMRs. Deeper analysis illustrates that physicians may perceive value in standardized EMRs when they need to exchange information in highly structured situations among like participants and like environments. However, standards present restrictive barriers to practitioners when they face equivocal situations, unforeseen contingencies, or exchange information across different environments. These barriers constitute a compelling explanation for at least part of the observed low EMR adoption rates. Our recommendations to improve the perceived value of standardized clinical information systems espouse re-conceptualizing the role of standards to embrace greater flexibility in some areas.

Accountable care around the world: a framework to guide reform strategies.

PubMed

McClellan, Mark; Kent, James; Beales, Stephen J; Cohen, Samuel I A; Macdonnell, Michael; Thoumi, Andrea; Abdulmalik, Mariam; Darzi, Ara

2014-09-01

Accountable care--a way to align health care payments with patient-focused reform goals--is currently being pursued in the United States, but its principles are also being applied in many other countries. In this article we review experiences with such reforms to offer a globally applicable definition of an accountable care system and propose a conceptual framework for characterizing and assessing accountable care reforms. The framework consists of five components: population, outcomes, metrics and learning, payments and incentives, and coordinated delivery. We describe how the framework applies to accountable care reforms that are already being implemented in Spain and Singapore. We also describe how it can be used to map progress through increasingly sophisticated levels of reforms. We recommend that policy makers pursuing accountable care reforms emphasize the following steps: highlight population health and wellness instead of just treating illness; pay for outcomes instead of activities; create a more favorable environment for collaboration and coordinated care; and promote interoperable data systems. Project HOPE—The People-to-People Health Foundation, Inc.

Interoperable Archetypes With a Three Folded Terminology Governance.

PubMed

Pederson, Rune; Ellingsen, Gunnar

2015-01-01

The use of openEHR archetypes increases the interoperability of clinical terminology, and in doing so improves upon the availability of clinical terminology for both primary and secondary purposes. Where clinical terminology is employed in the EPR system, research reports conflicting a results for the use of structuring and standardization as measurements of success. In order to elucidate this concept, this paper focuses on the effort to establish a national repository for openEHR based archetypes in Norway where clinical terminology could be included with benefit for interoperability three folded.

CCP interoperability and system stability

NASA Astrophysics Data System (ADS)

Feng, Xiaobing; Hu, Haibo

2016-09-01

To control counterparty risk, financial regulations such as the Dodd-Frank Act are increasingly requiring standardized derivatives trades to be cleared by central counterparties (CCPs). It is anticipated that in the near term future, CCPs across the world will be linked through interoperability agreements that facilitate risk sharing but also serve as a conduit for transmitting shocks. This paper theoretically studies a networked network with CCPs that are linked through interoperability arrangements. The major finding is that the different configurations of networked network CCPs contribute to the different properties of the cascading failures.

Conceptual Change Texts in Chemistry Teaching: A Study on the Particle Model of Matter

ERIC Educational Resources Information Center

Beerenwinkel, Anne; Parchmann, Ilka; Grasel, Cornelia

2011-01-01

This study explores the effect of a conceptual change text on students' awareness of common misconceptions on the particle model of matter. The conceptual change text was designed based on principles of text comprehensibility, of conceptual change instruction and of instructional approaches how to introduce the particle model. It was evaluated in…

Benefits of Enterprise Ontology for the Development of ICT-Based Value Networks

NASA Astrophysics Data System (ADS)

Albani, Antonia; Dietz, Jan L. G.

The competitiveness of value networks is highly dependent on the cooperation between business partners and the interoperability of their information systems. Innovations in information and communication technology (ICT), primarily the emergence of the Internet, offer possibilities to increase the interoperability of information systems and therefore enable inter-enterprise cooperation. For the design of inter-enterprise information systems, the concept of business component appears to be very promising. However, the identification of business components is strongly dependent on the appropriateness and the quality of the underlying business domain model. The ontological model of an enterprise - or an enterprise network - as presented in this article, is a high-quality and very adequate business domain model. It provides all essential information that is necessary for the design of the supporting information systems, and at a level of abstraction that makes it also understandable for business people. The application of enterprise ontology for the identification of business components is clarified. To exemplify our approach, a practical case is taken from the domain of strategic supply network development. By doing this, a widespread problem of the practical application of inter-enterprise information systems is being addressed.

Component-Based Modelling for Scalable Smart City Systems Interoperability: A Case Study on Integrating Energy Demand Response Systems.

PubMed

Palomar, Esther; Chen, Xiaohong; Liu, Zhiming; Maharjan, Sabita; Bowen, Jonathan

2016-10-28

Smart city systems embrace major challenges associated with climate change, energy efficiency, mobility and future services by embedding the virtual space into a complex cyber-physical system. Those systems are constantly evolving and scaling up, involving a wide range of integration among users, devices, utilities, public services and also policies. Modelling such complex dynamic systems' architectures has always been essential for the development and application of techniques/tools to support design and deployment of integration of new components, as well as for the analysis, verification, simulation and testing to ensure trustworthiness. This article reports on the definition and implementation of a scalable component-based architecture that supports a cooperative energy demand response (DR) system coordinating energy usage between neighbouring households. The proposed architecture, called refinement of Cyber-Physical Component Systems (rCPCS), which extends the refinement calculus for component and object system (rCOS) modelling method, is implemented using Eclipse Extensible Coordination Tools (ECT), i.e., Reo coordination language. With rCPCS implementation in Reo, we specify the communication, synchronisation and co-operation amongst the heterogeneous components of the system assuring, by design scalability and the interoperability, correctness of component cooperation.

Component-Based Modelling for Scalable Smart City Systems Interoperability: A Case Study on Integrating Energy Demand Response Systems

PubMed Central

Palomar, Esther; Chen, Xiaohong; Liu, Zhiming; Maharjan, Sabita; Bowen, Jonathan

2016-01-01

Smart city systems embrace major challenges associated with climate change, energy efficiency, mobility and future services by embedding the virtual space into a complex cyber-physical system. Those systems are constantly evolving and scaling up, involving a wide range of integration among users, devices, utilities, public services and also policies. Modelling such complex dynamic systems’ architectures has always been essential for the development and application of techniques/tools to support design and deployment of integration of new components, as well as for the analysis, verification, simulation and testing to ensure trustworthiness. This article reports on the definition and implementation of a scalable component-based architecture that supports a cooperative energy demand response (DR) system coordinating energy usage between neighbouring households. The proposed architecture, called refinement of Cyber-Physical Component Systems (rCPCS), which extends the refinement calculus for component and object system (rCOS) modelling method, is implemented using Eclipse Extensible Coordination Tools (ECT), i.e., Reo coordination language. With rCPCS implementation in Reo, we specify the communication, synchronisation and co-operation amongst the heterogeneous components of the system assuring, by design scalability and the interoperability, correctness of component cooperation. PMID:27801829

Grid Application Meta-Repository System: Repository Interconnectivity and Cross-domain Application Usage in Distributed Computing Environments

NASA Astrophysics Data System (ADS)

Tudose, Alexandru; Terstyansky, Gabor; Kacsuk, Peter; Winter, Stephen

Grid Application Repositories vary greatly in terms of access interface, security system, implementation technology, communication protocols and repository model. This diversity has become a significant limitation in terms of interoperability and inter-repository access. This paper presents the Grid Application Meta-Repository System (GAMRS) as a solution that offers better options for the management of Grid applications. GAMRS proposes a generic repository architecture, which allows any Grid Application Repository (GAR) to be connected to the system independent of their underlying technology. It also presents applications in a uniform manner and makes applications from all connected repositories visible to web search engines, OGSI/WSRF Grid Services and other OAI (Open Archive Initiative)-compliant repositories. GAMRS can also function as a repository in its own right and can store applications under a new repository model. With the help of this model, applications can be presented as embedded in virtual machines (VM) and therefore they can be run in their native environments and can easily be deployed on virtualized infrastructures allowing interoperability with new generation technologies such as cloud computing, application-on-demand, automatic service/application deployments and automatic VM generation.

Implementing PAT with Standards

NASA Astrophysics Data System (ADS)

Chandramohan, Laakshmana Sabari; Doolla, Suryanarayana; Khaparde, S. A.

2016-02-01

Perform Achieve Trade (PAT) is a market-based incentive mechanism to promote energy efficiency. The purpose of this work is to address the challenges inherent to inconsistent representation of business processes, and interoperability issues in PAT like cap-and-trade mechanisms especially when scaled. Studies by various agencies have highlighted that as the mechanism evolves including more industrial sectors and industries in its ambit, implementation will become more challenging. This paper analyses the major needs of PAT (namely tracking, monitoring, auditing & verifying energy-saving reports, and providing technical support & guidance to stakeholders); and how the aforesaid reasons affect them. Though current technologies can handle these challenges to an extent, standardization activities for implementation have been scanty for PAT and this work attempts to evolve them. The inconsistent modification of business processes, rules, and procedures across stakeholders, and interoperability among heterogeneous systems are addressed. This paper proposes the adoption of specifically two standards into PAT, namely Business Process Model and Notation for maintaining consistency in business process modelling, and Common Information Model (IEC 61970, 61968, 62325 combined) for information exchange. Detailed architecture and organization of these adoptions are reported. The work can be used by PAT implementing agencies, stakeholders, and standardization bodies.

A System of Systems Approach to Integrating Global Sea Level Change Application Programs

NASA Astrophysics Data System (ADS)

Bambachus, M. J.; Foster, R. S.; Powell, C.; Cole, M.

2005-12-01

The global sea level change application community has numerous disparate models used to make predications over various regional and temporal scales. These models have typically been focused on limited sets of data and optimized for specific areas or questions of interest. Increasingly, decision makers at the national, international, and local/regional levels require access to these application data models and want to be able to integrate large disparate data sets, with new ubiquitous sensor data, and use these data across models from multiple sources. These requirements will force the Global Sea Level Change application community to take a new system-of-systems approach to their programs. We present a new technical architecture approach to the global sea level change program that provides external access to the vast stores of global sea level change data, provides a collaboration forum for the discussion and visualization of data, and provides a simulation environment to evaluate decisions. This architectural approach will provide the tools to support multi-disciplinary decision making. A conceptual system of systems approach is needed to address questions around the multiple approaches to tracking and predicting Sea Level Change. A systems of systems approach would include (1) a forum of data providers, modelers, and users, (2) a service oriented architecture including interoperable web services with a backbone of Grid computing capability, and (3) discovery and access functionality to the information developed through this structure. Each of these three areas would be clearly designed to maximize communication, data use for decision making and flexibility and extensibility for evolution of technology and requirements. In contemplating a system-of-systems approach, it is important to highlight common understanding and coordination as foundational to success across the multiple systems. The workflow of science in different applications is often conceptually similar but different in the details. These differences can discourage the potential for collaboration. Resources that are not inherently shared (or do not spring from a common authority) must be explicitly coordinated to avoid disrupting the collaborative research workflow. This includes tools which make the interaction of systems (and users with systems, and administrators of systems) more conceptual and higher-level than is typically done today. Such tools all appear under the heading of Grid, within a larger idea of metacomputing. We present an approach for successful collaboration and shared use of distributed research resources. The real advances in research throughput that are occurring through the use of large computers are occurring less as a function of progress in a given discrete algorithm and much more as a function of model and data coupling. Complexity normally reduces the ability of the human mind to understand and work with this kind of coupling. Intuitive Grid-based computational resources simultaneously reduce the effect of this complexity on the scientist/decision maker, and increase the ability to rationalize complexity. Research progress can even be achieved before full understanding of complexity has been reached, by modeling and experimenting and providing more data to think about. Analytic engines provided via the Grid can help digest this data and make it tractable through visualization and exploration tools. We present a rationale for increasing research throughput by leveraging more complex model and data interaction.

Integrating technology to improve medication administration.

PubMed

Prusch, Amanda E; Suess, Tina M; Paoletti, Richard D; Olin, Stephen T; Watts, Starann D

2011-05-01

The development, implementation, and evaluation of an i.v. interoperability program to advance medication safety at the bedside are described. I.V. interoperability integrates intelligent infusion devices (IIDs), the bar-code-assisted medication administration system, and the electronic medication administration record system into a bar-code-driven workflow that populates provider-ordered, pharmacist-validated infusion parameters on IIDs. The purpose of this project was to improve medication safety through the integration of these technologies and decrease the potential for error during i.v. medication administration. Four key phases were essential to developing and implementing i.v. interoperability: (a) preparation, (b) i.v. interoperability pilot, (c) preliminary validation, and (d) expansion. The establishment of pharmacy involvement in i.v. interoperability resulted in two additional safety checks: pharmacist infusion rate oversight and nurse independent validation of the autoprogrammed rate. After instituting i.v. interoperability, monthly compliance to the telemetry drug library increased to a mean ± S.D. of 72.1% ± 2.1% from 56.5% ± 1.5%, and the medical-surgical nursing unit's drug library monthly compliance rate increased to 58.6% ± 2.9% from 34.1% ± 2.6% (p < 0.001 for both comparisons). The number of manual pump edits decreased with both telemetry and medical-surgical drug libraries, demonstrating a reduction from 56.9 ± 12.8 to 14.2 ± 3.9 and from 61.2 ± 15.4 to 14.7 ± 3.8, respectively (p < 0.001 for both comparisons). Through the integration and incorporation of pharmacist oversight for rate changes, the telemetry and medical-surgical patient care areas demonstrated a 32% reduction in reported monthly errors involving i.v. administration of heparin. By integrating two stand-alone technologies, i.v. interoperability was implemented to improve medication administration. Medication errors were reduced, nursing workflow was simplified, and pharmacists became involved in checking infusion rates of i.v. medications.

Ocean Data Interoperability Platform (ODIP): developing a common framework for global marine data management

NASA Astrophysics Data System (ADS)

Glaves, H. M.

2015-12-01

In recent years marine research has become increasingly multidisciplinary in its approach with a corresponding rise in the demand for large quantities of high quality interoperable data as a result. This requirement for easily discoverable and readily available marine data is currently being addressed by a number of regional initiatives with projects such as SeaDataNet in Europe, Rolling Deck to Repository (R2R) in the USA and the Integrated Marine Observing System (IMOS) in Australia, having implemented local infrastructures to facilitate the exchange of standardised marine datasets. However, each of these systems has been developed to address local requirements and created in isolation from those in other regions.Multidisciplinary marine research on a global scale necessitates a common framework for marine data management which is based on existing data systems. The Ocean Data Interoperability Platform project is seeking to address this requirement by bringing together selected regional marine e-infrastructures for the purposes of developing interoperability across them. By identifying the areas of commonality and incompatibility between these data infrastructures, and leveraging the development activities and expertise of these individual systems, three prototype interoperability solutions are being created which demonstrate the effective sharing of marine data and associated metadata across the participating regional data infrastructures as well as with other target international systems such as GEO, COPERNICUS etc.These interoperability solutions combined with agreed best practice and approved standards, form the basis of a common global approach to marine data management which can be adopted by the wider marine research community. To encourage implementation of these interoperability solutions by other regional marine data infrastructures an impact assessment is being conducted to determine both the technical and financial implications of deploying them alongside existing services. The associated best practice and common standards are also being disseminated to the user community through relevant accreditation processes and related initiatives such as the Research Data Alliance and the Belmont Forum.

Ambulatory measurement of the scapulohumeral rhythm: intra- and inter-operator agreement of a protocol based on inertial and magnetic sensors.

PubMed

Parel, I; Cutti, A G; Fiumana, G; Porcellini, G; Verni, G; Accardo, A P

2012-04-01

To measure the scapulohumeral rhythm (SHR) in outpatient settings, the motion analysis protocol named ISEO (INAIL Shoulder and Elbow Outpatient protocol) was developed, based on inertial and magnetic sensors. To complete the sensor-to-segment calibration, ISEO requires the involvement of an operator for sensor placement and for positioning the patient's arm in a predefined posture. Since this can affect the measure, this study aimed at quantifying ISEO intra- and inter-operator agreement. Forty subjects were considered, together with two operators, A and B. Three measurement sessions were completed for each subject: two by A and one by B. In each session, the humerus and scapula rotations were measured during sagittal and scapular plane elevation movements. ISEO intra- and inter-operator agreement were assessed by computing, between sessions, the: (1) similarity of the scapulohumeral patterns through the Coefficient of Multiple Correlation (CMC(2)), both considering and excluding the difference of the initial value of the scapula rotations between two sessions (inter-session offset); (2) 95% Smallest Detectable Difference (SDD(95)) in scapula range of motion. Results for CMC(2) showed that the intra- and inter-operator agreement is acceptable (median≥0.85, lower-whisker ≥ 0.75) for most of the scapula rotations, independently from the movement and the inter-session offset. The only exception is the agreement for scapula protraction-retraction and for scapula medio-lateral rotation during abduction (inter-operator), which is acceptable only if the inter-session offset is removed. SDD(95) values ranged from 4.4° to 8.6° for the inter-operator and between 4.9° and 8.5° for the intra-operator agreement. In conclusion, ISEO presents a high intra- and inter-operator agreement, particularly with the scapula inter-session offset removed. Copyright © 2011 Elsevier B.V. All rights reserved.

Argobots: A Lightweight Low-Level Threading and Tasking Framework

DOE Office of Scientific and Technical Information (OSTI.GOV)

Seo, Sangmin; Amer, Abdelhalim; Balaji, Pavan

In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current state-of-the-art user-level threading and tasking models, however, either are too specific to applications or architectures or are not as powerful or flexible. In this paper, we present Argobots, a lightweight, low-level threading and tasking framework that is designed as a portable and performant substrate for high-level programming models or runtime systems. Argobots offers a carefully designed execution model that balances generality of functionality with providing amore » rich set of controls to allow specialization by end users or high-level programming models. We describe the design, implementation, and performance characterization of Argobots and present integrations with three high-level models: OpenMP, MPI, and colocated I/O services. Evaluations show that (1) Argobots, while providing richer capabilities, is competitive with existing simpler generic threading runtimes; (2) our OpenMP runtime offers more efficient interoperability capabilities than production OpenMP runtimes do; (3) when MPI interoperates with Argobots instead of Pthreads, it enjoys reduced synchronization costs and better latency-hiding capabilities; and (4) I/O services with Argobots reduce interference with colocated applications while achieving performance competitive with that of a Pthreads approach.« less

Argobots: A Lightweight Low-Level Threading and Tasking Framework

DOE PAGES

Seo, Sangmin; Amer, Abdelhalim; Balaji, Pavan; ...

2017-10-24

In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current state-of-the-art user-level threading and tasking models, however, are either too specific to applications or architectures or are not as powerful or flexible. In this article, we present Argobots, a lightweight, low-level threading and tasking framework that is designed as a portable and performant substrate for high-level programming models or runtime systems. Argobots offers a carefully designed execution model that balances generality of functionality with providing amore » rich set of controls to allow specialization by the user or high-level programming model. Here, we describe the design, implementation, and optimization of Argobots and present integrations with three example high-level models: OpenMP, MPI, and co-located I/O service. Evaluations show that (1) Argobots outperforms existing generic threading runtimes; (2) our OpenMP runtime offers more efficient interoperability capabilities than production OpenMP runtimes do; (3) when MPI interoperates with Argobots instead of Pthreads, it enjoys reduced synchronization costs and better latency hiding capabilities; and (4) I/O service with Argobots reduces interference with co-located applications, achieving performance competitive with that of the Pthreads version.« less

Argobots: A Lightweight Low-Level Threading and Tasking Framework

DOE Office of Scientific and Technical Information (OSTI.GOV)

Seo, Sangmin; Amer, Abdelhalim; Balaji, Pavan

In the past few decades, a number of user-level threading and tasking models have been proposed in the literature to address the shortcomings of OS-level threads, primarily with respect to cost and flexibility. Current state-of-the-art user-level threading and tasking models, however, are either too specific to applications or architectures or are not as powerful or flexible. In this article, we present Argobots, a lightweight, low-level threading and tasking framework that is designed as a portable and performant substrate for high-level programming models or runtime systems. Argobots offers a carefully designed execution model that balances generality of functionality with providing amore » rich set of controls to allow specialization by the user or high-level programming model. Here, we describe the design, implementation, and optimization of Argobots and present integrations with three example high-level models: OpenMP, MPI, and co-located I/O service. Evaluations show that (1) Argobots outperforms existing generic threading runtimes; (2) our OpenMP runtime offers more efficient interoperability capabilities than production OpenMP runtimes do; (3) when MPI interoperates with Argobots instead of Pthreads, it enjoys reduced synchronization costs and better latency hiding capabilities; and (4) I/O service with Argobots reduces interference with co-located applications, achieving performance competitive with that of the Pthreads version.« less

Positive train control interoperability and networking research : final report.

DOT National Transportation Integrated Search

2015-12-01

This document describes the initial development of an ITC PTC Shared Network (IPSN), a hosted : environment to support the distribution, configuration management, and IT governance of Interoperable : Train Control (ITC) Positive Train Control (PTC) s...

78 FR 46582 - Federal Advisory Committee Act; Communications Security, Reliability, and Interoperability Council

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-01

... FEDERAL COMMUNICATIONS COMMISSION Federal Advisory Committee Act; Communications Security, Reliability, and Interoperability Council AGENCY: Federal Communications Commission. ACTION: Notice of public... persons that the Federal Communications Commission's (FCC or Commission) Communications Security...

CCSDS SM and C Mission Operations Interoperability Prototype

NASA Technical Reports Server (NTRS)

Lucord, Steven A.

2010-01-01

This slide presentation reviews the prototype of the Spacecraft Monitor and Control (SM&C) Operations for interoperability among other space agencies. This particular prototype uses the German Space Agency (DLR) to test the ideas for interagency coordination.

RESTFul based heterogeneous Geoprocessing workflow interoperation for Sensor Web Service

NASA Astrophysics Data System (ADS)

Yang, Chao; Chen, Nengcheng; Di, Liping

2012-10-01

Advanced sensors on board satellites offer detailed Earth observations. A workflow is one approach for designing, implementing and constructing a flexible and live link between these sensors' resources and users. It can coordinate, organize and aggregate the distributed sensor Web services to meet the requirement of a complex Earth observation scenario. A RESTFul based workflow interoperation method is proposed to integrate heterogeneous workflows into an interoperable unit. The Atom protocols are applied to describe and manage workflow resources. The XML Process Definition Language (XPDL) and Business Process Execution Language (BPEL) workflow standards are applied to structure a workflow that accesses sensor information and one that processes it separately. Then, a scenario for nitrogen dioxide (NO2) from a volcanic eruption is used to investigate the feasibility of the proposed method. The RESTFul based workflows interoperation system can describe, publish, discover, access and coordinate heterogeneous Geoprocessing workflows.

An Interoperability Framework and Capability Profiling for Manufacturing Software

NASA Astrophysics Data System (ADS)

Matsuda, M.; Arai, E.; Nakano, N.; Wakai, H.; Takeda, H.; Takata, M.; Sasaki, H.

ISO/TC184/SC5/WG4 is working on ISO16100: Manufacturing software capability profiling for interoperability. This paper reports on a manufacturing software interoperability framework and a capability profiling methodology which were proposed and developed through this international standardization activity. Within the context of manufacturing application, a manufacturing software unit is considered to be capable of performing a specific set of function defined by a manufacturing software system architecture. A manufacturing software interoperability framework consists of a set of elements and rules for describing the capability of software units to support the requirements of a manufacturing application. The capability profiling methodology makes use of the domain-specific attributes and methods associated with each specific software unit to describe capability profiles in terms of unit name, manufacturing functions, and other needed class properties. In this methodology, manufacturing software requirements are expressed in terns of software unit capability profiles.

Chile's National Center for Health Information Systems: A Public-Private Partnership to Foster Health Care Information Interoperability.

PubMed

Capurro, Daniel; Echeverry, Aisen; Figueroa, Rosa; Guiñez, Sergio; Taramasco, Carla; Galindo, César; Avendaño, Angélica; García, Alejandra; Härtel, Steffen

2017-01-01

Despite the continuous technical advancements around health information standards, a critical component to their widespread adoption involves political agreement between a diverse set of stakeholders. Countries that have addressed this issue have used diverse strategies. In this vision paper we present the path that Chile is taking to establish a national program to implement health information standards and achieve interoperability. The Chilean government established an inter-agency program to define the current interoperability situation, existing gaps, barriers, and facilitators for interoperable health information systems. As an answer to the identified issues, the government decided to fund a consortium of Chilean universities to create the National Center for Health Information Systems. This consortium should encourage the interaction between all health care stakeholders, both public and private, to advance the selection of national standards and define certification procedures for software and human resources in health information technologies.

Finalizing the CCSDS Space-Data Link Layer Security Protocol: Setup and Execution of the Interoperability Testing

NASA Technical Reports Server (NTRS)

Fischer, Daniel; Aguilar-Sanchez, Ignacio; Saba, Bruno; Moury, Gilles; Biggerstaff, Craig; Bailey, Brandon; Weiss, Howard; Pilgram, Martin; Richter, Dorothea

2015-01-01

The protection of data transmitted over the space-link is an issue of growing importance also for civilian space missions. Through the Consultative Committee for Space Data Systems (CCSDS), space agencies have reacted to this need by specifying the Space Data-Link Layer Security (SDLS) protocol which provides confidentiality and integrity services for the CCSDS Telemetry (TM), Telecommand (TC) and Advanced Orbiting Services (AOS) space data-link protocols. This paper describes the approach of the CCSDS SDLS working group to specify and execute the necessary interoperability tests. It first details the individual SDLS implementations that have been produced by ESA, NASA, and CNES and then the overall architecture that allows the interoperability tests between them. The paper reports on the results of the interoperability tests and identifies relevant aspects for the evolution of the test environment.

An Architecture for Semantically Interoperable Electronic Health Records.

PubMed

Toffanello, André; Gonçalves, Ricardo; Kitajima, Adriana; Puttini, Ricardo; Aguiar, Atualpa

2017-01-01

Despite the increasing adhesion of electronic health records, the challenge of semantic interoperability remains unsolved. The fact that different parties can exchange messages does not mean they can understand the underlying clinical meaning, therefore, it cannot be assumed or treated as a requirement. This work introduces an architecture designed to achieve semantic interoperability, in a way which organizations that follow different policies may still share medical information through a common infrastructure comparable to an ecosystem, whose organisms are exemplified within the Brazilian scenario. Nonetheless, the proposed approach describes a service-oriented design with modules adaptable to different contexts. We also discuss the establishment of an enterprise service bus to mediate a health infrastructure defined on top of international standards, such as openEHR and IHE. Moreover, we argue that, in order to achieve truly semantic interoperability in a wide sense, a proper profile must be published and maintained.

Sharing and interoperation of Digital Dongying geospatial data

NASA Astrophysics Data System (ADS)

Zhao, Jun; Liu, Gaohuan; Han, Lit-tao; Zhang, Rui-ju; Wang, Zhi-an

2006-10-01

Digital Dongying project was put forward by Dongying city, Shandong province, and authenticated by Ministry of Information Industry, Ministry of Science and Technology and Ministry of Construction P.R.CHINA in 2002. After five years of building, informationization level of Dongying has reached to the advanced degree. In order to forward the step of digital Dongying building, and to realize geospatial data sharing, geographic information sharing standards are drawn up and applied into realization. Secondly, Digital Dongying Geographic Information Sharing Platform has been constructed and developed, which is a highly integrated platform of WEBGIS. 3S (GIS, GPS, RS), Object oriented RDBMS, Internet, DCOM, etc. It provides an indispensable platform for sharing and interoperation of Digital Dongying Geospatial Data. According to the standards, and based on the platform, sharing and interoperation of "Digital Dongying" geospatial data have come into practice and the good results have been obtained. However, a perfect leadership group is necessary for data sharing and interoperation.