A Study of Clinically Related Open Source Software Projects
Hogarth, Michael A.; Turner, Stuart
2005-01-01
Open source software development has recently gained significant interest due to several successful mainstream open source projects. This methodology has been proposed as being similarly viable and beneficial in the clinical application domain as well. However, the clinical software development venue differs significantly from the mainstream software venue. Existing clinical open source projects have not been well characterized nor formally studied so the ‘fit’ of open source in this domain is largely unknown. In order to better understand the open source movement in the clinical application domain, we undertook a study of existing open source clinical projects. In this study we sought to characterize and classify existing clinical open source projects and to determine metrics for their viability. This study revealed several findings which we believe could guide the healthcare community in its quest for successful open source clinical software projects. PMID:16779056
ERIC Educational Resources Information Center
Kapor, Mitchell
2005-01-01
Open source software projects involve the production of goods, but in software projects, the "goods" consist of information. The open source model is an alternative to the conventional centralized, command-and-control way in which things are usually made. In contrast, open source projects are genuinely decentralized and transparent. Transparent…
The Open Source Teaching Project (OSTP): Research Note.
ERIC Educational Resources Information Center
Hirst, Tony
The Open Source Teaching Project (OSTP) is an attempt to apply a variant of the successful open source software approach to the development of educational materials. Open source software is software licensed in such a way as to allow anyone the right to modify and use it. From such a simple premise, a whole industry has arisen, most notably in the…
ERIC Educational Resources Information Center
Vlas, Radu Eduard
2012-01-01
Open source projects do have requirements; they are, however, mostly informal, text descriptions found in requests, forums, and other correspondence. Understanding such requirements provides insight into the nature of open source projects. Unfortunately, manual analysis of natural language requirements is time-consuming, and for large projects,…
Developing open-source codes for electromagnetic geophysics using industry support
NASA Astrophysics Data System (ADS)
Key, K.
2017-12-01
Funding for open-source software development in academia often takes the form of grants and fellowships awarded by government bodies and foundations where there is no conflict-of-interest between the funding entity and the free dissemination of the open-source software products. Conversely, funding for open-source projects in the geophysics industry presents challenges to conventional business models where proprietary licensing offers value that is not present in open-source software. Such proprietary constraints make it easier to convince companies to fund academic software development under exclusive software distribution agreements. A major challenge for obtaining commercial funding for open-source projects is to offer a value proposition that overcomes the criticism that such funding is a give-away to the competition. This work draws upon a decade of experience developing open-source electromagnetic geophysics software for the oil, gas and minerals exploration industry, and examines various approaches that have been effective for sustaining industry sponsorship.
OSIRIX: open source multimodality image navigation software
NASA Astrophysics Data System (ADS)
Rosset, Antoine; Pysher, Lance; Spadola, Luca; Ratib, Osman
2005-04-01
The goal of our project is to develop a completely new software platform that will allow users to efficiently and conveniently navigate through large sets of multidimensional data without the need of high-end expensive hardware or software. We also elected to develop our system on new open source software libraries allowing other institutions and developers to contribute to this project. OsiriX is a free and open-source imaging software designed manipulate and visualize large sets of medical images: http://homepage.mac.com/rossetantoine/osirix/
NASA's Earth Imagery Service as Open Source Software
NASA Astrophysics Data System (ADS)
De Cesare, C.; Alarcon, C.; Huang, T.; Roberts, J. T.; Rodriguez, J.; Cechini, M. F.; Boller, R. A.; Baynes, K.
2016-12-01
The NASA Global Imagery Browse Service (GIBS) is a software system that provides access to an archive of historical and near-real-time Earth imagery from NASA-supported satellite instruments. The imagery itself is open data, and is accessible via standards such as the Open Geospatial Consortium (OGC)'s Web Map Tile Service (WMTS) protocol. GIBS includes three core software projects: The Imagery Exchange (TIE), OnEarth, and the Meta Raster Format (MRF) project. These projects are developed using a variety of open source software, including: Apache HTTPD, GDAL, Mapserver, Grails, Zookeeper, Eclipse, Maven, git, and Apache Commons. TIE has recently been released for open source, and is now available on GitHub. OnEarth, MRF, and their sub-projects have been on GitHub since 2014, and the MRF project in particular receives many external contributions from the community. Our software has been successful beyond the scope of GIBS: the PO.DAAC State of the Ocean and COVERAGE visualization projects reuse components from OnEarth. The MRF source code has recently been incorporated into GDAL, which is a core library in many widely-used GIS software such as QGIS and GeoServer. This presentation will describe the challenges faced in incorporating open software and open data into GIBS, and also showcase GIBS as a platform on which scientists and the general public can build their own applications.
ERIC Educational Resources Information Center
Ge, Xun; Huang, Kun; Dong, Yifei
2010-01-01
A semester-long ethnography study was carried out to investigate project-based learning in a graduate software engineering course through the implementation of an Open-Source Software Development (OSSD) learning environment, which featured authentic projects, learning community, cognitive apprenticeship, and technology affordances. The study…
ERIC Educational Resources Information Center
Kamthan, Pankaj
2007-01-01
Open Source Software (OSS) has introduced a new dimension in software community. As the development and use of OSS becomes prominent, the question of its integration in education arises. In this paper, the following practices fundamental to projects and processes in software engineering are examined from an OSS perspective: project management;…
Espino, Jeremy U; Wagner, M; Szczepaniak, C; Tsui, F C; Su, H; Olszewski, R; Liu, Z; Chapman, W; Zeng, X; Ma, L; Lu, Z; Dara, J
2004-09-24
Computer-based outbreak and disease surveillance requires high-quality software that is well-supported and affordable. Developing software in an open-source framework, which entails free distribution and use of software and continuous, community-based software development, can produce software with such characteristics, and can do so rapidly. The objective of the Real-Time Outbreak and Disease Surveillance (RODS) Open Source Project is to accelerate the deployment of computer-based outbreak and disease surveillance systems by writing software and catalyzing the formation of a community of users, developers, consultants, and scientists who support its use. The University of Pittsburgh seeded the Open Source Project by releasing the RODS software under the GNU General Public License. An infrastructure was created, consisting of a website, mailing lists for developers and users, designated software developers, and shared code-development tools. These resources are intended to encourage growth of the Open Source Project community. Progress is measured by assessing website usage, number of software downloads, number of inquiries, number of system deployments, and number of new features or modules added to the code base. During September--November 2003, users generated 5,370 page views of the project website, 59 software downloads, 20 inquiries, one new deployment, and addition of four features. Thus far, health departments and companies have been more interested in using the software as is than in customizing or developing new features. The RODS laboratory anticipates that after initial installation has been completed, health departments and companies will begin to customize the software and contribute their enhancements to the public code base.
Ardal, Christine; Alstadsæter, Annette; Røttingen, John-Arne
2011-09-28
Innovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery. A systematic review was performed by searching relevant, multidisciplinary databases to extract empirical research regarding the common characteristics and barriers of initiating and maintaining an open source software development project. Common characteristics to open source software development pertinent to open source drug discovery were extracted. The characteristics were then grouped into the areas of participant attraction, management of volunteers, control mechanisms, legal framework and physical constraints. Lastly, their applicability to drug discovery was examined. We believe that the open source model is viable for drug discovery, although it is unlikely that it will exactly follow the form used in software development. Hybrids will likely develop that suit the unique characteristics of drug discovery. We suggest potential motivations for organizations to join an open source drug discovery project. We also examine specific differences between software and medicines, specifically how the need for laboratories and physical goods will impact the model as well as the effect of patents.
The Commercial Open Source Business Model
NASA Astrophysics Data System (ADS)
Riehle, Dirk
Commercial open source software projects are open source software projects that are owned by a single firm that derives a direct and significant revenue stream from the software. Commercial open source at first glance represents an economic paradox: How can a firm earn money if it is making its product available for free as open source? This paper presents the core properties of com mercial open source business models and discusses how they work. Using a commercial open source approach, firms can get to market faster with a superior product at lower cost than possible for traditional competitors. The paper shows how these benefits accrue from an engaged and self-supporting user community. Lacking any prior comprehensive reference, this paper is based on an analysis of public statements by practitioners of commercial open source. It forges the various anecdotes into a coherent description of revenue generation strategies and relevant business functions.
2011-01-01
Background Innovation through an open source model has proven to be successful for software development. This success has led many to speculate if open source can be applied to other industries with similar success. We attempt to provide an understanding of open source software development characteristics for researchers, business leaders and government officials who may be interested in utilizing open source innovation in other contexts and with an emphasis on drug discovery. Methods A systematic review was performed by searching relevant, multidisciplinary databases to extract empirical research regarding the common characteristics and barriers of initiating and maintaining an open source software development project. Results Common characteristics to open source software development pertinent to open source drug discovery were extracted. The characteristics were then grouped into the areas of participant attraction, management of volunteers, control mechanisms, legal framework and physical constraints. Lastly, their applicability to drug discovery was examined. Conclusions We believe that the open source model is viable for drug discovery, although it is unlikely that it will exactly follow the form used in software development. Hybrids will likely develop that suit the unique characteristics of drug discovery. We suggest potential motivations for organizations to join an open source drug discovery project. We also examine specific differences between software and medicines, specifically how the need for laboratories and physical goods will impact the model as well as the effect of patents. PMID:21955914
The Visible Human Data Sets (VHD) and Insight Toolkit (ITk): Experiments in Open Source Software
Ackerman, Michael J.; Yoo, Terry S.
2003-01-01
From its inception in 1989, the Visible Human Project was designed as an experiment in open source software. In 1994 and 1995 the male and female Visible Human data sets were released by the National Library of Medicine (NLM) as open source data sets. In 2002 the NLM released the first version of the Insight Toolkit (ITk) as open source software. PMID:14728278
Anatomy of BioJS, an open source community for the life sciences.
Yachdav, Guy; Goldberg, Tatyana; Wilzbach, Sebastian; Dao, David; Shih, Iris; Choudhary, Saket; Crouch, Steve; Franz, Max; García, Alexander; García, Leyla J; Grüning, Björn A; Inupakutika, Devasena; Sillitoe, Ian; Thanki, Anil S; Vieira, Bruno; Villaveces, José M; Schneider, Maria V; Lewis, Suzanna; Pettifer, Steve; Rost, Burkhard; Corpas, Manuel
2015-07-08
BioJS is an open source software project that develops visualization tools for different types of biological data. Here we report on the factors that influenced the growth of the BioJS user and developer community, and outline our strategy for building on this growth. The lessons we have learned on BioJS may also be relevant to other open source software projects.
Open Source Projects in Software Engineering Education: A Mapping Study
ERIC Educational Resources Information Center
Nascimento, Debora M. C.; Almeida Bittencourt, Roberto; Chavez, Christina
2015-01-01
Context: It is common practice in academia to have students work with "toy" projects in software engineering (SE) courses. One way to make such courses more realistic and reduce the gap between academic courses and industry needs is getting students involved in open source projects (OSP) with faculty supervision. Objective: This study…
AKM in Open Source Communities
NASA Astrophysics Data System (ADS)
Stamelos, Ioannis; Kakarontzas, George
Previous chapters in this book have dealt with Architecture Knowledge Management in traditional Closed Source Software (CSS) projects. This chapterwill attempt to examine the ways that knowledge is shared among participants in Free Libre Open Source Software (FLOSS 1) projects and how architectural knowledge is managed w.r.t. CSS. FLOSS projects are organized and developed in a fundamentally different way than CSS projects. FLOSS projects simply do not develop code as CSS projects do. As a consequence, their knowledge management mechanisms are also based on different concepts and tools.
Building CHAOS: An Operating System for Livermore Linux Clusters
DOE Office of Scientific and Technical Information (OSTI.GOV)
Garlick, J E; Dunlap, C M
2003-02-21
The Livermore Computing (LC) Linux Integration and Development Project (the Linux Project) produces and supports the Clustered High Availability Operating System (CHAOS), a cluster operating environment based on Red Hat Linux. Each CHAOS release begins with a set of requirements and ends with a formally tested, packaged, and documented release suitable for use on LC's production Linux clusters. One characteristic of CHAOS is that component software packages come from different sources under varying degrees of project control. Some are developed by the Linux Project, some are developed by other LC projects, some are external open source projects, and some aremore » commercial software packages. A challenge to the Linux Project is to adhere to release schedules and testing disciplines in a diverse, highly decentralized development environment. Communication channels are maintained for externally developed packages in order to obtain support, influence development decisions, and coordinate/understand release schedules. The Linux Project embraces open source by releasing locally developed packages under open source license, by collaborating with open source projects where mutually beneficial, and by preferring open source over proprietary software. Project members generally use open source development tools. The Linux Project requires system administrators and developers to work together to resolve problems that arise in production. This tight coupling of production and development is a key strategy for making a product that directly addresses LC's production requirements. It is another challenge to balance support and development activities in such a way that one does not overwhelm the other.« less
SolTrace | Concentrating Solar Power | NREL
NREL packaged distribution or from source code at the SolTrace open source project website. NREL Publications Support FAQs SolTrace open source project The code uses Monte-Carlo ray-tracing methodology. The -tracing capabilities. With the release of the SolTrace open source project, the software has adopted
Free and Open Source Software for Geospatial in the field of planetary science
NASA Astrophysics Data System (ADS)
Frigeri, A.
2012-12-01
Information technology applied to geospatial analyses has spread quickly in the last ten years. The availability of OpenData and data from collaborative mapping projects increased the interest on tools, procedures and methods to handle spatially-related information. Free Open Source Software projects devoted to geospatial data handling are gaining a good success as the use of interoperable formats and protocols allow the user to choose what pipeline of tools and libraries is needed to solve a particular task, adapting the software scene to his specific problem. In particular, the Free Open Source model of development mimics the scientific method very well, and researchers should be naturally encouraged to take part to the development process of these software projects, as this represent a very agile way to interact among several institutions. When it comes to planetary sciences, geospatial Free Open Source Software is gaining a key role in projects that commonly involve different subjects in an international scenario. Very popular software suites for processing scientific mission data (for example, ISIS) and for navigation/planning (SPICE) are being distributed along with the source code and the interaction between user and developer is often very strict, creating a continuum between these two figures. A very widely spread library for handling geospatial data (GDAL) has started to support planetary data from the Planetary Data System, and recent contributions enabled the support to other popular data formats used in planetary science, as the Vicar one. The use of Geographic Information System in planetary science is now diffused, and Free Open Source GIS, open GIS formats and network protocols allow to extend existing tools and methods developed to solve Earth based problems, also to the case of the study of solar system bodies. A day in the working life of a researcher using Free Open Source Software for geospatial will be presented, as well as benefits and solutions to possible detriments coming from the effort required by using, supporting and contributing.
Christopher W. Helm
2006-01-01
GLIMS is a NASA funded project that utilizes Open-Source Software to achieve its goal of creating a globally complete inventory of glaciers. The participation of many international institutions and the development of on-line mapping applications to provide access to glacial data have both been enhanced by Open-Source GIS capabilities and play a crucial role in the...
Prior, Fred W; Erickson, Bradley J; Tarbox, Lawrence
2007-11-01
The Cancer Bioinformatics Grid (caBIG) program was created by the National Cancer Institute to facilitate sharing of IT infrastructure, data, and applications among the National Cancer Institute-sponsored cancer research centers. The program was launched in February 2004 and now links more than 50 cancer centers. In April 2005, the In Vivo Imaging Workspace was added to promote the use of imaging in cancer clinical trials. At the inaugural meeting, four special interest groups (SIGs) were established. The Software SIG was charged with identifying projects that focus on open-source software for image visualization and analysis. To date, two projects have been defined by the Software SIG. The eXtensible Imaging Platform project has produced a rapid application development environment that researchers may use to create targeted workflows customized for specific research projects. The Algorithm Validation Tools project will provide a set of tools and data structures that will be used to capture measurement information and associated needed to allow a gold standard to be defined for the given database against which change analysis algorithms can be tested. Through these and future efforts, the caBIG In Vivo Imaging Workspace Software SIG endeavors to advance imaging informatics and provide new open-source software tools to advance cancer research.
Shaping Software Engineering Curricula Using Open Source Communities: A Case Study
ERIC Educational Resources Information Center
Bowring, James; Burke, Quinn
2016-01-01
This paper documents four years of a novel approach to teaching a two-course sequence in software engineering as part of the ABET-accredited computer science curriculum at the College of Charleston. This approach is team-based and centers on learning software engineering in the context of open source software projects. In the first course, teams…
ERIC Educational Resources Information Center
Samuels, Ruth Gallegos; Griffy, Henry
2012-01-01
This article discusses best practices for evaluating open source software for use in library projects, based on the authors' experience evaluating electronic publishing solutions. First, it presents a brief review of the literature, emphasizing the need to evaluate open source solutions carefully in order to minimize Total Cost of Ownership. Next,…
Crawling The Web for Libre: Selecting, Integrating, Extending and Releasing Open Source Software
NASA Astrophysics Data System (ADS)
Truslove, I.; Duerr, R. E.; Wilcox, H.; Savoie, M.; Lopez, L.; Brandt, M.
2012-12-01
Libre is a project developed by the National Snow and Ice Data Center (NSIDC). Libre is devoted to liberating science data from its traditional constraints of publication, location, and findability. Libre embraces and builds on the notion of making knowledge freely available, and both Creative Commons licensed content and Open Source Software are crucial building blocks for, as well as required deliverable outcomes of the project. One important aspect of the Libre project is to discover cryospheric data published on the internet without prior knowledge of the location or even existence of that data. Inspired by well-known search engines and their underlying web crawling technologies, Libre has explored tools and technologies required to build a search engine tailored to allow users to easily discover geospatial data related to the polar regions. After careful consideration, the Libre team decided to base its web crawling work on the Apache Nutch project (http://nutch.apache.org). Nutch is "an open source web-search software project" written in Java, with good documentation, a significant user base, and an active development community. Nutch was installed and configured to search for the types of data of interest, and the team created plugins to customize the default Nutch behavior to better find and categorize these data feeds. This presentation recounts the Libre team's experiences selecting, using, and extending Nutch, and working with the Nutch user and developer community. We will outline the technical and organizational challenges faced in order to release the project's software as Open Source, and detail the steps actually taken. We distill these experiences into a set of heuristics and recommendations for using, contributing to, and releasing Open Source Software.
ERIC Educational Resources Information Center
Long, Ju
2009-01-01
Open Source Software (OSS) is a major force in today's Information Technology (IT) landscape. Companies are increasingly using OSS in mission-critical applications. The transparency of the OSS technology itself with openly available source codes makes it ideal for students to participate in the OSS project development. OSS can provide unique…
Integrating HCI Specialists into Open Source Software Development Projects
NASA Astrophysics Data System (ADS)
Hedberg, Henrik; Iivari, Netta
Typical open source software (OSS) development projects are organized around technically talented developers, whose communication is based on technical aspects and source code. Decision-making power is gained through proven competence and activity in the project, and non-technical end-user opinions are too many times neglected. In addition, also human-computer interaction (HCI) specialists have encountered difficulties in trying to participate in OSS projects, because there seems to be no clear authority and responsibility for them. In this paper, based on HCI and OSS literature, we introduce an extended OSS development project organization model that adds a new level of communication and roles for attending human aspects of software. The proposed model makes the existence of HCI specialists visible in the projects, and promotes interaction between developers and the HCI specialists in the course of a project.
Open source tools for ATR development and performance evaluation
NASA Astrophysics Data System (ADS)
Baumann, James M.; Dilsavor, Ronald L.; Stubbles, James; Mossing, John C.
2002-07-01
Early in almost every engineering project, a decision must be made about tools; should I buy off-the-shelf tools or should I develop my own. Either choice can involve significant cost and risk. Off-the-shelf tools may be readily available, but they can be expensive to purchase and to maintain licenses, and may not be flexible enough to satisfy all project requirements. On the other hand, developing new tools permits great flexibility, but it can be time- (and budget-) consuming, and the end product still may not work as intended. Open source software has the advantages of both approaches without many of the pitfalls. This paper examines the concept of open source software, including its history, unique culture, and informal yet closely followed conventions. These characteristics influence the quality and quantity of software available, and ultimately its suitability for serious ATR development work. We give an example where Python, an open source scripting language, and OpenEV, a viewing and analysis tool for geospatial data, have been incorporated into ATR performance evaluation projects. While this case highlights the successful use of open source tools, we also offer important insight into risks associated with this approach.
ERIC Educational Resources Information Center
Olsen, Florence
2003-01-01
Colleges and universities are beginning to consider collaborating on open-source-code projects as a way to meet critical software and computing needs. Points out the attractive features of noncommercial open-source software and describes some examples in use now, especially for the creation of Web infrastructure. (SLD)
ERIC Educational Resources Information Center
Voyles, Bennett
2007-01-01
People know about the Sakai Project (open source course management system); they may even know about Kuali (open source financials). So, what is the next wave in open source software? This article discusses business intelligence (BI) systems. Though open source BI may still be only a rumor in most campus IT departments, some brave early adopters…
Embracing Open Software Development in Solar Physics
NASA Astrophysics Data System (ADS)
Hughitt, V. K.; Ireland, J.; Christe, S.; Mueller, D.
2012-12-01
We discuss two ongoing software projects in solar physics that have adopted best practices of the open source software community. The first, the Helioviewer Project, is a powerful data visualization tool which includes online and Java interfaces inspired by Google Maps (tm). This effort allows users to find solar features and events of interest, and download the corresponding data. Having found data of interest, the user now has to analyze it. The dominant solar data analysis platform is an open-source library called SolarSoft (SSW). Although SSW itself is open-source, the programming language used is IDL, a proprietary language with licensing costs that are prohibative for many institutions and individuals. SSW is composed of a collection of related scripts written by missions and individuals for solar data processing and analysis, without any consistent data structures or common interfaces. Further, at the time when SSW was initially developed, many of the best software development processes of today (mirrored and distributed version control, unit testing, continuous integration, etc.) were not standard, and have not since been adopted. The challenges inherent in developing SolarSoft led to a second software project known as SunPy. SunPy is an open-source Python-based library which seeks to create a unified solar data analysis environment including a number of core datatypes such as Maps, Lightcurves, and Spectra which have consistent interfaces and behaviors. By taking advantage of the large and sophisticated body of scientific software already available in Python (e.g. SciPy, NumPy, Matplotlib), and by adopting many of the best practices refined in open-source software development, SunPy has been able to develop at a very rapid pace while still ensuring a high level of reliability. The Helioviewer Project and SunPy represent two pioneering technologies in solar physics - simple yet flexible data visualization and a powerful, new data analysis environment. We discuss the development of both these efforts and how they are beginning to influence the solar physics community.
An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Taylor, Ronald C.
Bioinformatics researchers are increasingly confronted with analysis of ultra large-scale data sets, a problem that will only increase at an alarming rate in coming years. Recent developments in open source software, that is, the Hadoop project and associated software, provide a foundation for scaling to petabyte scale data warehouses on Linux clusters, providing fault-tolerant parallelized analysis on such data using a programming style named MapReduce. An overview is given of the current usage within the bioinformatics community of Hadoop, a top-level Apache Software Foundation project, and of associated open source software projects. The concepts behind Hadoop and the associated HBasemore » project are defined, and current bioinformatics software that employ Hadoop is described. The focus is on next-generation sequencing, as the leading application area to date.« less
Communal Resources in Open Source Software Development
ERIC Educational Resources Information Center
Spaeth, Sebastian; Haefliger, Stefan; von Krogh, Georg; Renzl, Birgit
2008-01-01
Introduction: Virtual communities play an important role in innovation. The paper focuses on the particular form of collective action in virtual communities underlying as Open Source software development projects. Method: Building on resource mobilization theory and private-collective innovation, we propose a theory of collective action in…
Nurturing reliable and robust open-source scientific software
NASA Astrophysics Data System (ADS)
Uieda, L.; Wessel, P.
2017-12-01
Scientific results are increasingly the product of software. The reproducibility and validity of published results cannot be ensured without access to the source code of the software used to produce them. Therefore, the code itself is a fundamental part of the methodology and must be published along with the results. With such a reliance on software, it is troubling that most scientists do not receive formal training in software development. Tools such as version control, continuous integration, and automated testing are routinely used in industry to ensure the correctness and robustness of software. However, many scientist do not even know of their existence (although efforts like Software Carpentry are having an impact on this issue; software-carpentry.org). Publishing the source code is only the first step in creating an open-source project. For a project to grow it must provide documentation, participation guidelines, and a welcoming environment for new contributors. Expanding the project community is often more challenging than the technical aspects of software development. Maintainers must invest time to enforce the rules of the project and to onboard new members, which can be difficult to justify in the context of the "publish or perish" mentality. This problem will continue as long as software contributions are not recognized as valid scholarship by hiring and tenure committees. Furthermore, there are still unsolved problems in providing attribution for software contributions. Many journals and metrics of academic productivity do not recognize citations to sources other than traditional publications. Thus, some authors choose to publish an article about the software and use it as a citation marker. One issue with this approach is that updating the reference to include new contributors involves writing and publishing a new article. A better approach would be to cite a permanent archive of individual versions of the source code in services such as Zenodo (zenodo.org). However, citations to these sources are not always recognized when computing citation metrics. In summary, the widespread development of reliable and robust open-source software relies on the creation of formal training programs in software development best practices and the recognition of software as a valid form of scholarship.
The Azimuth Project: an Open-Access Educational Resource
NASA Astrophysics Data System (ADS)
Baez, J. C.
2012-12-01
The Azimuth Project is an online collaboration of scientists, engineers and programmers who are volunteering their time to do something about a wide range of environmental problems. The project has several aspects: 1) a wiki designed to make reliable, sourced information easy to find and accessible to a technically literate nonexperts, 2) a blog featuring expository articles and news items, 3) a project to write programs that explain basic concepts of climate physics and illustrate principles of good open-source software design, and 4) a project to develop mathematical tools for studying complex networked systems. We discuss the progress so far and some preliminary lessons. For example, enlisting the help of experts outside academia highlights the problems with pay-walled journals and the benefits of open access, as well as differences between how software development is done commercially, in the free software community, and in academe.
Two-step web-mining approach to study geology/geophysics-related open-source software projects
NASA Astrophysics Data System (ADS)
Behrends, Knut; Conze, Ronald
2013-04-01
Geology/geophysics is a highly interdisciplinary science, overlapping with, for instance, physics, biology and chemistry. In today's software-intensive work environments, geoscientists often encounter new open-source software from scientific fields that are only remotely related to the own field of expertise. We show how web-mining techniques can help to carry out systematic discovery and evaluation of such software. In a first step, we downloaded ~500 abstracts (each consisting of ~1 kb UTF-8 text) from agu-fm12.abstractcentral.com. This web site hosts the abstracts of all publications presented at AGU Fall Meeting 2012, the world's largest annual geology/geophysics conference. All abstracts belonged to the category "Earth and Space Science Informatics", an interdisciplinary label cross-cutting many disciplines such as "deep biosphere", "atmospheric research", and "mineral physics". Each publication was represented by a highly structured record with ~20 short data attributes, the largest authorship-record being the unstructured "abstract" field. We processed texts of the abstracts with the statistics software "R" to calculate a corpus and a term-document matrix. Using R package "tm", we applied text-mining techniques to filter data and develop hypotheses about software-development activities happening in various geology/geophysics fields. Analyzing the term-document matrix with basic techniques (e.g., word frequencies, co-occurences, weighting) as well as more complex methods (clustering, classification) several key pieces of information were extracted. For example, text-mining can be used to identify scientists who are also developers of open-source scientific software, and the names of their programming projects and codes can also be identified. In a second step, based on the intermediate results found by processing the conference-abstracts, any new hypotheses can be tested in another webmining subproject: by merging the dataset with open data from github.com and stackoverflow.com. These popular, developer-centric websites have powerful application-programmer interfaces, and follow an open-data policy. In this regard, these sites offer a web-accessible reservoir of information that can be tapped to study questions such as: which open source software projects are eminent in the various geoscience fields? What are the most popular programming languages? How are they trending? Are there any interesting temporal patterns in committer activities? How large are programming teams and how do they change over time? What free software packages exist in the vast realms of related fields? Does the software from these fields have capabilities that might still be useful to me as a researcher, or can help me perform my work better? Are there any open-source projects that might be commercially interesting? This evaluation strategy reveals programming projects that tend to be new. As many important legacy codes are not hosted on open-source code-repositories, the presented search method might overlook some older projects.
NASA Astrophysics Data System (ADS)
Joyce, M.; Ramirez, P.; Boustani, M.; Mattmann, C. A.; Khudikyan, S.; McGibbney, L. J.; Whitehall, K. D.
2014-12-01
Apache Open Climate Workbench (OCW; https://climate.apache.org/) is a Top-Level Project at the Apache Software Foundation that aims to provide a suite of tools for performing climate science evaluations using model outputs from a multitude of different sources (ESGF, CORDEX, U.S. NCA, NARCCAP) with remote sensing data from NASA, NOAA, and other agencies. Apache OCW is the second NASA project to become a Top-Level Project at the Apache Software Foundation. It grew out of the Jet Propulsion Laboratory's (JPL) Regional Climate Model Evaluation System (RCMES) project, a collaboration between JPL and the University of California, Los Angeles' Joint Institute for Regional Earth System Science and Engineering (JIFRESSE). Apache OCW provides scientists and developers with tools for data manipulation, metrics for dataset comparisons, and a visualization suite. In addition to a powerful low-level API, Apache OCW also supports a web application for quick, browser-controlled evaluations, a command line application for local evaluations, and a virtual machine for isolated experimentation with minimal setup. This talk will look at the difficulties and successes of moving a closed community research project out into the wild world of open source. We'll explore the growing pains Apache OCW went through to become a Top-Level Project at the Apache Software Foundation as well as the benefits gained by opening up development to the broader climate and computer science communities.
Digital Preservation in Open-Source Digital Library Software
ERIC Educational Resources Information Center
Madalli, Devika P.; Barve, Sunita; Amin, Saiful
2012-01-01
Digital archives and digital library projects are being initiated all over the world for materials of different formats and domains. To organize, store, and retrieve digital content, many libraries as well as archiving centers are using either proprietary or open-source software. While it is accepted that print media can survive for centuries with…
The GenABEL Project for statistical genomics.
Karssen, Lennart C; van Duijn, Cornelia M; Aulchenko, Yurii S
2016-01-01
Development of free/libre open source software is usually done by a community of people with an interest in the tool. For scientific software, however, this is less often the case. Most scientific software is written by only a few authors, often a student working on a thesis. Once the paper describing the tool has been published, the tool is no longer developed further and is left to its own device. Here we describe the broad, multidisciplinary community we formed around a set of tools for statistical genomics. The GenABEL project for statistical omics actively promotes open interdisciplinary development of statistical methodology and its implementation in efficient and user-friendly software under an open source licence. The software tools developed withing the project collectively make up the GenABEL suite, which currently consists of eleven tools. The open framework of the project actively encourages involvement of the community in all stages, from formulation of methodological ideas to application of software to specific data sets. A web forum is used to channel user questions and discussions, further promoting the use of the GenABEL suite. Developer discussions take place on a dedicated mailing list, and development is further supported by robust development practices including use of public version control, code review and continuous integration. Use of this open science model attracts contributions from users and developers outside the "core team", facilitating agile statistical omics methodology development and fast dissemination.
Ham, Timothy S; Dmytriv, Zinovii; Plahar, Hector; Chen, Joanna; Hillson, Nathan J; Keasling, Jay D
2012-10-01
The Joint BioEnergy Institute Inventory of Composable Elements (JBEI-ICEs) is an open source registry platform for managing information about biological parts. It is capable of recording information about 'legacy' parts, such as plasmids, microbial host strains and Arabidopsis seeds, as well as DNA parts in various assembly standards. ICE is built on the idea of a web of registries and thus provides strong support for distributed interconnected use. The information deposited in an ICE installation instance is accessible both via a web browser and through the web application programming interfaces, which allows automated access to parts via third-party programs. JBEI-ICE includes several useful web browser-based graphical applications for sequence annotation, manipulation and analysis that are also open source. As with open source software, users are encouraged to install, use and customize JBEI-ICE and its components for their particular purposes. As a web application programming interface, ICE provides well-developed parts storage functionality for other synthetic biology software projects. A public instance is available at public-registry.jbei.org, where users can try out features, upload parts or simply use it for their projects. The ICE software suite is available via Google Code, a hosting site for community-driven open source projects.
What makes computational open source software libraries successful?
NASA Astrophysics Data System (ADS)
Bangerth, Wolfgang; Heister, Timo
2013-01-01
Software is the backbone of scientific computing. Yet, while we regularly publish detailed accounts about the results of scientific software, and while there is a general sense of which numerical methods work well, our community is largely unaware of best practices in writing the large-scale, open source scientific software upon which our discipline rests. This is particularly apparent in the commonly held view that writing successful software packages is largely the result of simply ‘being a good programmer’ when in fact there are many other factors involved, for example the social skill of community building. In this paper, we consider what we have found to be the necessary ingredients for successful scientific software projects and, in particular, for software libraries upon which the vast majority of scientific codes are built today. In particular, we discuss the roles of code, documentation, communities, project management and licenses. We also briefly comment on the impact on academic careers of engaging in software projects.
ERIC Educational Resources Information Center
Tolu, Hüseyin
2018-01-01
Investigating the sociology of educational technology can be approached through a series of deliberations based on the interaction between Free/Libre Open Source Software (FLOSS) and Proprietary Close Source Software (PCSS). This article consults public policy discourses of the Fatih project, which is the current educational technology project in…
BioSig: The Free and Open Source Software Library for Biomedical Signal Processing
Vidaurre, Carmen; Sander, Tilmann H.; Schlögl, Alois
2011-01-01
BioSig is an open source software library for biomedical signal processing. The aim of the BioSig project is to foster research in biomedical signal processing by providing free and open source software tools for many different application areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research. Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), or respiration signals is a very relevant element of the BioSig project. Specifically, BioSig provides solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, and data visualization, to name a few. In this paper, we highlight several methods to help students and researchers to work more efficiently with biomedical signals. PMID:21437227
BioSig: the free and open source software library for biomedical signal processing.
Vidaurre, Carmen; Sander, Tilmann H; Schlögl, Alois
2011-01-01
BioSig is an open source software library for biomedical signal processing. The aim of the BioSig project is to foster research in biomedical signal processing by providing free and open source software tools for many different application areas. Some of the areas where BioSig can be employed are neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems, and sleep research. Moreover, the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), or respiration signals is a very relevant element of the BioSig project. Specifically, BioSig provides solutions for data acquisition, artifact processing, quality control, feature extraction, classification, modeling, and data visualization, to name a few. In this paper, we highlight several methods to help students and researchers to work more efficiently with biomedical signals.
Cölfen, Helmut; Laue, Thomas M; Wohlleben, Wendel; Schilling, Kristian; Karabudak, Engin; Langhorst, Bradley W; Brookes, Emre; Dubbs, Bruce; Zollars, Dan; Rocco, Mattia; Demeler, Borries
2010-02-01
Progress in analytical ultracentrifugation (AUC) has been hindered by obstructions to hardware innovation and by software incompatibility. In this paper, we announce and outline the Open AUC Project. The goals of the Open AUC Project are to stimulate AUC innovation by improving instrumentation, detectors, acquisition and analysis software, and collaborative tools. These improvements are needed for the next generation of AUC-based research. The Open AUC Project combines on-going work from several different groups. A new base instrument is described, one that is designed from the ground up to be an analytical ultracentrifuge. This machine offers an open architecture, hardware standards, and application programming interfaces for detector developers. All software will use the GNU Public License to assure that intellectual property is available in open source format. The Open AUC strategy facilitates collaborations, encourages sharing, and eliminates the chronic impediments that have plagued AUC innovation for the last 20 years. This ultracentrifuge will be equipped with multiple and interchangeable optical tracks so that state-of-the-art electronics and improved detectors will be available for a variety of optical systems. The instrument will be complemented by a new rotor, enhanced data acquisition and analysis software, as well as collaboration software. Described here are the instrument, the modular software components, and a standardized database that will encourage and ease integration of data analysis and interpretation software.
NASA Astrophysics Data System (ADS)
Yetman, G.; Downs, R. R.
2011-12-01
Software deployment is needed to process and distribute scientific data throughout the data lifecycle. Developing software in-house can take software development teams away from other software development projects and can require efforts to maintain the software over time. Adopting and reusing software and system modules that have been previously developed by others can reduce in-house software development and maintenance costs and can contribute to the quality of the system being developed. A variety of models are available for reusing and deploying software and systems that have been developed by others. These deployment models include open source software, vendor-supported open source software, commercial software, and combinations of these approaches. Deployment in Earth science data processing and distribution has demonstrated the advantages and drawbacks of each model. Deploying open source software offers advantages for developing and maintaining scientific data processing systems and applications. By joining an open source community that is developing a particular system module or application, a scientific data processing team can contribute to aspects of the software development without having to commit to developing the software alone. Communities of interested developers can share the work while focusing on activities that utilize in-house expertise and addresses internal requirements. Maintenance is also shared by members of the community. Deploying vendor-supported open source software offers similar advantages to open source software. However, by procuring the services of a vendor, the in-house team can rely on the vendor to provide, install, and maintain the software over time. Vendor-supported open source software may be ideal for teams that recognize the value of an open source software component or application and would like to contribute to the effort, but do not have the time or expertise to contribute extensively. Vendor-supported software may also have the additional benefits of guaranteed up-time, bug fixes, and vendor-added enhancements. Deploying commercial software can be advantageous for obtaining system or software components offered by a vendor that meet in-house requirements. The vendor can be contracted to provide installation, support and maintenance services as needed. Combining these options offers a menu of choices, enabling selection of system components or software modules that meet the evolving requirements encountered throughout the scientific data lifecycle.
A Stigmergy Approach for Open Source Software Developer Community Simulation
DOE Office of Scientific and Technical Information (OSTI.GOV)
Cui, Xiaohui; Beaver, Justin M; Potok, Thomas E
2009-01-01
The stigmergy collaboration approach provides a hypothesized explanation about how online groups work together. In this research, we presented a stigmergy approach for building an agent based open source software (OSS) developer community collaboration simulation. We used group of actors who collaborate on OSS projects as our frame of reference and investigated how the choices actors make in contribution their work on the projects determinate the global status of the whole OSS projects. In our simulation, the forum posts and project codes served as the digital pheromone and the modified Pierre-Paul Grasse pheromone model is used for computing developer agentmore » behaviors selection probability.« less
Chełkowski, Tadeusz; Gloor, Peter; Jemielniak, Dariusz
2016-01-01
While researchers are becoming increasingly interested in studying OSS phenomenon, there is still a small number of studies analyzing larger samples of projects investigating the structure of activities among OSS developers. The significant amount of information that has been gathered in the publicly available open-source software repositories and mailing-list archives offers an opportunity to analyze projects structures and participant involvement. In this article, using on commits data from 263 Apache projects repositories (nearly all), we show that although OSS development is often described as collaborative, but it in fact predominantly relies on radically solitary input and individual, non-collaborative contributions. We also show, in the first published study of this magnitude, that the engagement of contributors is based on a power-law distribution.
2016-01-01
While researchers are becoming increasingly interested in studying OSS phenomenon, there is still a small number of studies analyzing larger samples of projects investigating the structure of activities among OSS developers. The significant amount of information that has been gathered in the publicly available open-source software repositories and mailing-list archives offers an opportunity to analyze projects structures and participant involvement. In this article, using on commits data from 263 Apache projects repositories (nearly all), we show that although OSS development is often described as collaborative, but it in fact predominantly relies on radically solitary input and individual, non-collaborative contributions. We also show, in the first published study of this magnitude, that the engagement of contributors is based on a power-law distribution. PMID:27096157
Open source tools and toolkits for bioinformatics: significance, and where are we?
Stajich, Jason E; Lapp, Hilmar
2006-09-01
This review summarizes important work in open-source bioinformatics software that has occurred over the past couple of years. The survey is intended to illustrate how programs and toolkits whose source code has been developed or released under an Open Source license have changed informatics-heavy areas of life science research. Rather than creating a comprehensive list of all tools developed over the last 2-3 years, we use a few selected projects encompassing toolkit libraries, analysis tools, data analysis environments and interoperability standards to show how freely available and modifiable open-source software can serve as the foundation for building important applications, analysis workflows and resources.
Building Successful GitHub Communities
NASA Astrophysics Data System (ADS)
Smith, A.
2014-12-01
Building successful online communities is hard, whether it's in open source software or web-based citizen science. In this presentation I'll share some lessons learned and outline some techniques employed by successful open source projects.
Computational Fluids Domain Reduction to a Simplified Fluid Network
2012-04-19
readily available read/ write software library. Code components from the open source projects OpenFoam and Paraview were explored for their adaptability...to the project. Both Paraview and OpenFoam read polyhedral mesh. OpenFoam does not read results data. Paraview actually allows for user “filters
The GenABEL Project for statistical genomics
Karssen, Lennart C.; van Duijn, Cornelia M.; Aulchenko, Yurii S.
2016-01-01
Development of free/libre open source software is usually done by a community of people with an interest in the tool. For scientific software, however, this is less often the case. Most scientific software is written by only a few authors, often a student working on a thesis. Once the paper describing the tool has been published, the tool is no longer developed further and is left to its own device. Here we describe the broad, multidisciplinary community we formed around a set of tools for statistical genomics. The GenABEL project for statistical omics actively promotes open interdisciplinary development of statistical methodology and its implementation in efficient and user-friendly software under an open source licence. The software tools developed withing the project collectively make up the GenABEL suite, which currently consists of eleven tools. The open framework of the project actively encourages involvement of the community in all stages, from formulation of methodological ideas to application of software to specific data sets. A web forum is used to channel user questions and discussions, further promoting the use of the GenABEL suite. Developer discussions take place on a dedicated mailing list, and development is further supported by robust development practices including use of public version control, code review and continuous integration. Use of this open science model attracts contributions from users and developers outside the “core team”, facilitating agile statistical omics methodology development and fast dissemination. PMID:27347381
ERIC Educational Resources Information Center
Schmidt, Matthew; Galyen, Krista; Laffey, James; Babiuch, Ryan; Schmidt, Carla
2014-01-01
Design-based research (DBR) and open source software are both acknowledged as potentially productive ways for advancing learning technologies. These approaches have practical benefits for the design and development process and for building and leveraging community to augment and sustain design and development. This report presents a case study of…
BioContainers: an open-source and community-driven framework for software standardization.
da Veiga Leprevost, Felipe; Grüning, Björn A; Alves Aflitos, Saulo; Röst, Hannes L; Uszkoreit, Julian; Barsnes, Harald; Vaudel, Marc; Moreno, Pablo; Gatto, Laurent; Weber, Jonas; Bai, Mingze; Jimenez, Rafael C; Sachsenberg, Timo; Pfeuffer, Julianus; Vera Alvarez, Roberto; Griss, Johannes; Nesvizhskii, Alexey I; Perez-Riverol, Yasset
2017-08-15
BioContainers (biocontainers.pro) is an open-source and community-driven framework which provides platform independent executable environments for bioinformatics software. BioContainers allows labs of all sizes to easily install bioinformatics software, maintain multiple versions of the same software and combine tools into powerful analysis pipelines. BioContainers is based on popular open-source projects Docker and rkt frameworks, that allow software to be installed and executed under an isolated and controlled environment. Also, it provides infrastructure and basic guidelines to create, manage and distribute bioinformatics containers with a special focus on omics technologies. These containers can be integrated into more comprehensive bioinformatics pipelines and different architectures (local desktop, cloud environments or HPC clusters). The software is freely available at github.com/BioContainers/. yperez@ebi.ac.uk. © The Author(s) 2017. Published by Oxford University Press.
BioContainers: an open-source and community-driven framework for software standardization
da Veiga Leprevost, Felipe; Grüning, Björn A.; Alves Aflitos, Saulo; Röst, Hannes L.; Uszkoreit, Julian; Barsnes, Harald; Vaudel, Marc; Moreno, Pablo; Gatto, Laurent; Weber, Jonas; Bai, Mingze; Jimenez, Rafael C.; Sachsenberg, Timo; Pfeuffer, Julianus; Vera Alvarez, Roberto; Griss, Johannes; Nesvizhskii, Alexey I.; Perez-Riverol, Yasset
2017-01-01
Abstract Motivation BioContainers (biocontainers.pro) is an open-source and community-driven framework which provides platform independent executable environments for bioinformatics software. BioContainers allows labs of all sizes to easily install bioinformatics software, maintain multiple versions of the same software and combine tools into powerful analysis pipelines. BioContainers is based on popular open-source projects Docker and rkt frameworks, that allow software to be installed and executed under an isolated and controlled environment. Also, it provides infrastructure and basic guidelines to create, manage and distribute bioinformatics containers with a special focus on omics technologies. These containers can be integrated into more comprehensive bioinformatics pipelines and different architectures (local desktop, cloud environments or HPC clusters). Availability and Implementation The software is freely available at github.com/BioContainers/. Contact yperez@ebi.ac.uk PMID:28379341
ERIC Educational Resources Information Center
Rodriguez-Sanchez, M. C.; Torrado-Carvajal, Angel; Vaquero, Joaquin; Borromeo, Susana; Hernandez-Tamames, Juan A.
2016-01-01
This paper presents a case study analyzing the advantages and disadvantages of using project-based learning (PBL) combined with collaborative learning (CL) and industry best practices, integrated with information communication technologies, open-source software, and open-source hardware tools, in a specialized microcontroller and embedded systems…
The Role of Standards in Cloud-Computing Interoperability
2012-10-01
services are not shared outside the organization. CloudStack, Eucalyptus, HP, Microsoft, OpenStack , Ubuntu, and VMWare provide tools for building...center requirements • Developing usage models for cloud ven- dors • Independent IT consortium OpenStack http://www.openstack.org • Open-source...software for running private clouds • Currently consists of three core software projects: OpenStack Compute (Nova), OpenStack Object Storage (Swift
A Survey of Usability Practices in Free/Libre/Open Source Software
NASA Astrophysics Data System (ADS)
Paul, Celeste Lyn
A review of case studies about usability in eight Free/Libre/Open Source Software (FLOSS) projects showed that an important issue regarding a usability initiative in the project was the lack of user research. User research is a key component in the user-centered design (UCD) process and a necessary step for creating usable products. Reasons why FLOSS projects suffered from a lack of user research included poor or unclear project leadership, cultural differences between developer and designers, and a lack of usability engineers. By identifying these critical issues, the FLOSS usability community can begin addressing problems in the efficacy of usability activities and work towards creating more usable FLOSS products.
2015-08-21
using the Open Computer Vision ( OpenCV ) libraries [6] for computer vision and the Qt library [7] for the user interface. The software has the...depth. The software application calibrates the cameras using the plane based calibration model from the OpenCV calib3D module and allows the...6] OpenCV . 2015. OpenCV Open Source Computer Vision. [Online]. Available at: opencv.org [Accessed]: 09/01/2015. [7] Qt. 2015. Qt Project home
Open source tools for fluorescent imaging.
Hamilton, Nicholas A
2012-01-01
As microscopy becomes increasingly automated and imaging expands in the spatial and time dimensions, quantitative analysis tools for fluorescent imaging are becoming critical to remove both bottlenecks in throughput as well as fully extract and exploit the information contained in the imaging. In recent years there has been a flurry of activity in the development of bio-image analysis tools and methods with the result that there are now many high-quality, well-documented, and well-supported open source bio-image analysis projects with large user bases that cover essentially every aspect from image capture to publication. These open source solutions are now providing a viable alternative to commercial solutions. More importantly, they are forming an interoperable and interconnected network of tools that allow data and analysis methods to be shared between many of the major projects. Just as researchers build on, transmit, and verify knowledge through publication, open source analysis methods and software are creating a foundation that can be built upon, transmitted, and verified. Here we describe many of the major projects, their capabilities, and features. We also give an overview of the current state of open source software for fluorescent microscopy analysis and the many reasons to use and develop open source methods. Copyright © 2012 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Panettieri, Joseph C.
2007-01-01
This article discusses open source projects which may free universities from expensive, rigid commercial software. But will the rewards outweigh the potential risks? The Kuali Project involves multiple universities writing and sharing code for their financial and operational systems. Another, the Sakai Project, is a community source platform for…
Crux: Rapid Open Source Protein Tandem Mass Spectrometry Analysis
2015-01-01
Efficiently and accurately analyzing big protein tandem mass spectrometry data sets requires robust software that incorporates state-of-the-art computational, machine learning, and statistical methods. The Crux mass spectrometry analysis software toolkit (http://cruxtoolkit.sourceforge.net) is an open source project that aims to provide users with a cross-platform suite of analysis tools for interpreting protein mass spectrometry data. PMID:25182276
7 Questions to Ask Open Source Vendors
ERIC Educational Resources Information Center
Raths, David
2012-01-01
With their budgets under increasing pressure, many campus IT directors are considering open source projects for the first time. On the face of it, the savings can be significant. Commercial emergency-planning software can cost upward of six figures, for example, whereas the open source Kuali Ready might run as little as $15,000 per year when…
Journal of Open Source Software (JOSS): design and first-year review
NASA Astrophysics Data System (ADS)
Smith, Arfon M.
2018-01-01
JOSS is a free and open-access journal that publishes articles describing research software across all disciplines. It has the dual goals of improving the quality of the software submitted and providing a mechanism for research software developers to receive credit. While designed to work within the current merit system of science, JOSS addresses the dearth of rewards for key contributions to science made in the form of software. JOSS publishes articles that encapsulate scholarship contained in the software itself, and its rigorous peer review targets the software components: functionality, documentation, tests, continuous integration, and the license. A JOSS article contains an abstract describing the purpose and functionality of the software, references, and a link to the software archive. JOSS published more than 100 articles in its first year, many from the scientific python ecosystem (including a number of articles related to astronomy and astrophysics). JOSS is a sponsored project of the nonprofit organization NumFOCUS and is an affiliate of the Open Source Initiative.In this presentation, I'll describes the motivation, design, and progress of the Journal of Open Source Software (JOSS) and how it compares to other avenues for publishing research software in astronomy.
Freeing Worldview's development process: Open source everything!
NASA Astrophysics Data System (ADS)
Gunnoe, T.
2016-12-01
Freeing your code and your project are important steps for creating an inviting environment for collaboration, with the added side effect of keeping a good relationship with your users. NASA Worldview's codebase was released with the open source NOSA (NASA Open Source Agreement) license in 2014, but this is only the first step. We also have to free our ideas, empower our users by involving them in the development process, and open channels that lead to the creation of a community project. There are many highly successful examples of Free and Open Source Software (FOSS) projects of which we can take note: the Linux kernel, Debian, GNOME, etc. These projects owe much of their success to having a passionate mix of developers/users with a great community and a common goal in mind. This presentation will describe the scope of this openness and how Worldview plans to move forward with a more community-inclusive approach.
Social.Water--Open Source Citizen Science Software for CrowdHydrology
NASA Astrophysics Data System (ADS)
Fienen, M. N.; Lowry, C.
2013-12-01
CrowdHydrology is a crowd-sourced citizen science project in which passersby near streams are encouraged to read a gage and send an SMS (text) message with the water level to a number indicated on a sign. The project was initially started using free services such as Google Voice, Gmail, and Google Maps to acquire and present the data on the internet. Social.Water is open-source software, using Python and JavaScript, that automates the acquisition, categorization, and presentation of the data. Open-source objectives pervade both the project and the software as the code is hosted at Github, only free scripting codes are used, and any person or organization can install a gage and join the CrowdHydrology network. In the first year, 10 sites were deployed in upstate New York, USA. In the second year, expansion to 44 sites throughout the upper Midwest USA was achieved. Comparison with official USGS and academic measurements have shown low error rates. Citizen participation varies greatly from site to site, so surveys or other social information is sought for insight into why some sites experience higher rates of participation than others.
ERIC Educational Resources Information Center
Morgan, Becka S.
2012-01-01
Open Source Software (OSS) communities are homogenous and their lack of diversity is of concern to many within this field. This problem is becoming more pronounced as it is the practice of many technology companies to use OSS participation as a factor in the hiring process, disadvantaging those who are not a part of this community. We should…
Tracking Clouds with low cost GNSS chips aided by the Arduino platform
NASA Astrophysics Data System (ADS)
Hameed, Saji; Realini, Eugenio; Ishida, Shinya
2016-04-01
The Global Navigation Satellite System (GNSS) is a constellation of satellites that is used to provide geo-positioning services. Besides this application, the GNSS system is important for a wide range of scientific and civilian applications. For example, GNSS systems are routinely used in civilian applications such as surveying and scientific applications such as the study of crustal deformation. Another important scientific application of GNSS system is in meteorological research. Here it is mainly used to determine the total water vapour content of the troposphere, hereafter Precipitable Water Vapor (PWV). However, both GNSS receivers and software have prohibitively high price due to a variety of reasons. To overcome this somewhat artificial barrier we are exploring the use of low-cost GNSS receivers along with open source GNSS software for scientific research, in particular for GNSS meteorology research. To achieve this aim, we have developed a custom Arduino compatible data logging board that is able to operate together with a specific low-cost single frequency GNSS receiver chip from NVS Technologies AG. We have also developed an open-source software bundle that includes a new Arduino core for the Atmel324p chip, which is the main processor used in our custom logger. We have also developed software code that enables data collection, logging and parsing of the GNSS data stream. Additionally we have comprehensively evaluated the low power characteristics of the GNSS receiver and logger boards. Currently we are exploring the use of several openly source or free to use for research software to map GNSS delays to PWV. These include the open source goGPS (http://www.gogps-project.org/) and gLAB (http://gage.upc.edu/gLAB) and the openly available GAMIT software from Massachusetts Institute of Technology (MIT). We note that all the firmware and software developed as part of this project is available on an open source license.
Open Source Seismic Software in NOAA's Next Generation Tsunami Warning System
NASA Astrophysics Data System (ADS)
Hellman, S. B.; Baker, B. I.; Hagerty, M. T.; Leifer, J. M.; Lisowski, S.; Thies, D. A.; Donnelly, B. K.; Griffith, F. P.
2014-12-01
The Tsunami Information technology Modernization (TIM) is a project spearheaded by National Oceanic and Atmospheric Administration to update the United States' Tsunami Warning System software currently employed at the Pacific Tsunami Warning Center (Eva Beach, Hawaii) and the National Tsunami Warning Center (Palmer, Alaska). This entirely open source software project will integrate various seismic processing utilities with the National Weather Service Weather Forecast Office's core software, AWIPS2. For the real-time and near real-time seismic processing aspect of this project, NOAA has elected to integrate the open source portions of GFZ's SeisComP 3 (SC3) processing system into AWIPS2. To provide for better tsunami threat assessments we are developing open source tools for magnitude estimations (e.g., moment magnitude, energy magnitude, surface wave magnitude), detection of slow earthquakes with the Theta discriminant, moment tensor inversions (e.g. W-phase and teleseismic body waves), finite fault inversions, and array processing. With our reliance on common data formats such as QuakeML and seismic community standard messaging systems, all new facilities introduced into AWIPS2 and SC3 will be available as stand-alone tools or could be easily integrated into other real time seismic monitoring systems such as Earthworm, Antelope, etc. Additionally, we have developed a template based design paradigm so that the developer or scientist can efficiently create upgrades, replacements, and/or new metrics to the seismic data processing with only a cursory knowledge of the underlying SC3.
The State of Open Source Electronic Health Record Projects: A Software Anthropology Study
2017-01-01
Background Electronic health records (EHR) are a key tool in managing and storing patients’ information. Currently, there are over 50 open source EHR systems available. Functionality and usability are important factors for determining the success of any system. These factors are often a direct reflection of the domain knowledge and developers’ motivations. However, few published studies have focused on the characteristics of free and open source software (F/OSS) EHR systems and none to date have discussed the motivation, knowledge background, and demographic characteristics of the developers involved in open source EHR projects. Objective This study analyzed the characteristics of prevailing F/OSS EHR systems and aimed to provide an understanding of the motivation, knowledge background, and characteristics of the developers. Methods This study identified F/OSS EHR projects on SourceForge and other websites from May to July 2014. Projects were classified and characterized by license type, downloads, programming languages, spoken languages, project age, development status, supporting materials, top downloads by country, and whether they were “certified” EHRs. Health care F/OSS developers were also surveyed using an online survey. Results At the time of the assessment, we uncovered 54 open source EHR projects, but only four of them had been successfully certified under the Office of the National Coordinator for Health Information Technology (ONC Health IT) Certification Program. In the majority of cases, the open source EHR software was downloaded by users in the United States (64.07%, 148,666/232,034), underscoring that there is a significant interest in EHR open source applications in the United States. A survey of EHR open source developers was conducted and a total of 103 developers responded to the online questionnaire. The majority of EHR F/OSS developers (65.3%, 66/101) are participating in F/OSS projects as part of a paid activity and only 25.7% (26/101) of EHR F/OSS developers are, or have been, health care providers in their careers. In addition, 45% (45/99) of developers do not work in the health care field. Conclusion The research presented in this study highlights some challenges that may be hindering the future of health care F/OSS. A minority of developers have been health care professionals, and only 55% (54/99) work in the health care field. This undoubtedly limits the ability of functional design of F/OSS EHR systems from being a competitive advantage over prevailing commercial EHR systems. Open source software seems to be a significant interest to many; however, given that only four F/OSS EHR systems are ONC-certified, this interest is unlikely to yield significant adoption of these systems in the United States. Although the Health Information Technology for Economic and Clinical Health (HITECH) act was responsible for a substantial infusion of capital into the EHR marketplace, the lack of a corporate entity in most F/OSS EHR projects translates to a marginal capacity to market the respective F/OSS system and to navigate certification. This likely has further disadvantaged F/OSS EHR adoption in the United States. PMID:28235750
NASA Astrophysics Data System (ADS)
Baudin, Veronique; Gomez-Diaz, Teresa
2013-04-01
The PLUME open platform (https://www.projet-plume.org) has as first goal to share competences and to value the knowledge of software experts within the French higher education and research communities. The project proposes in its platform the access to more than 380 index cards describing useful and economic software for this community, with open access to everybody. The second goal of PLUME focuses on to improve the visibility of software produced by research laboratories within the higher education and research communities. The "development-ESR" index cards briefly describe the main features of the software, including references to research publications associated to it. The platform counts more than 300 cards describing research software, where 89 cards have an English version. In this talk we describe the theme classification and the taxonomy of the index cards and the evolution with new themes added to the project. We will also focus on the organisation of PLUME as an open project and its interests in the promotion of free/open source software from and for research, contributing to the creation of a community of shared knowledge.
Clinical software development for the Web: lessons learned from the BOADICEA project
2012-01-01
Background In the past 20 years, society has witnessed the following landmark scientific advances: (i) the sequencing of the human genome, (ii) the distribution of software by the open source movement, and (iii) the invention of the World Wide Web. Together, these advances have provided a new impetus for clinical software development: developers now translate the products of human genomic research into clinical software tools; they use open-source programs to build them; and they use the Web to deliver them. Whilst this open-source component-based approach has undoubtedly made clinical software development easier, clinical software projects are still hampered by problems that traditionally accompany the software process. This study describes the development of the BOADICEA Web Application, a computer program used by clinical geneticists to assess risks to patients with a family history of breast and ovarian cancer. The key challenge of the BOADICEA Web Application project was to deliver a program that was safe, secure and easy for healthcare professionals to use. We focus on the software process, problems faced, and lessons learned. Our key objectives are: (i) to highlight key clinical software development issues; (ii) to demonstrate how software engineering tools and techniques can facilitate clinical software development for the benefit of individuals who lack software engineering expertise; and (iii) to provide a clinical software development case report that can be used as a basis for discussion at the start of future projects. Results We developed the BOADICEA Web Application using an evolutionary software process. Our approach to Web implementation was conservative and we used conventional software engineering tools and techniques. The principal software development activities were: requirements, design, implementation, testing, documentation and maintenance. The BOADICEA Web Application has now been widely adopted by clinical geneticists and researchers. BOADICEA Web Application version 1 was released for general use in November 2007. By May 2010, we had > 1200 registered users based in the UK, USA, Canada, South America, Europe, Africa, Middle East, SE Asia, Australia and New Zealand. Conclusions We found that an evolutionary software process was effective when we developed the BOADICEA Web Application. The key clinical software development issues identified during the BOADICEA Web Application project were: software reliability, Web security, clinical data protection and user feedback. PMID:22490389
Clinical software development for the Web: lessons learned from the BOADICEA project.
Cunningham, Alex P; Antoniou, Antonis C; Easton, Douglas F
2012-04-10
In the past 20 years, society has witnessed the following landmark scientific advances: (i) the sequencing of the human genome, (ii) the distribution of software by the open source movement, and (iii) the invention of the World Wide Web. Together, these advances have provided a new impetus for clinical software development: developers now translate the products of human genomic research into clinical software tools; they use open-source programs to build them; and they use the Web to deliver them. Whilst this open-source component-based approach has undoubtedly made clinical software development easier, clinical software projects are still hampered by problems that traditionally accompany the software process. This study describes the development of the BOADICEA Web Application, a computer program used by clinical geneticists to assess risks to patients with a family history of breast and ovarian cancer. The key challenge of the BOADICEA Web Application project was to deliver a program that was safe, secure and easy for healthcare professionals to use. We focus on the software process, problems faced, and lessons learned. Our key objectives are: (i) to highlight key clinical software development issues; (ii) to demonstrate how software engineering tools and techniques can facilitate clinical software development for the benefit of individuals who lack software engineering expertise; and (iii) to provide a clinical software development case report that can be used as a basis for discussion at the start of future projects. We developed the BOADICEA Web Application using an evolutionary software process. Our approach to Web implementation was conservative and we used conventional software engineering tools and techniques. The principal software development activities were: requirements, design, implementation, testing, documentation and maintenance. The BOADICEA Web Application has now been widely adopted by clinical geneticists and researchers. BOADICEA Web Application version 1 was released for general use in November 2007. By May 2010, we had > 1200 registered users based in the UK, USA, Canada, South America, Europe, Africa, Middle East, SE Asia, Australia and New Zealand. We found that an evolutionary software process was effective when we developed the BOADICEA Web Application. The key clinical software development issues identified during the BOADICEA Web Application project were: software reliability, Web security, clinical data protection and user feedback.
Your Personal Analysis Toolkit - An Open Source Solution
NASA Astrophysics Data System (ADS)
Mitchell, T.
2009-12-01
Open source software is commonly known for its web browsers, word processors and programming languages. However, there is a vast array of open source software focused on geographic information management and geospatial application building in general. As geo-professionals, having easy access to tools for our jobs is crucial. Open source software provides the opportunity to add a tool to your tool belt and carry it with you for your entire career - with no license fees, a supportive community and the opportunity to test, adopt and upgrade at your own pace. OSGeo is a US registered non-profit representing more than a dozen mature geospatial data management applications and programming resources. Tools cover areas such as desktop GIS, web-based mapping frameworks, metadata cataloging, spatial database analysis, image processing and more. Learn about some of these tools as they apply to AGU members, as well as how you can join OSGeo and its members in getting the job done with powerful open source tools. If you haven't heard of OSSIM, MapServer, OpenLayers, PostGIS, GRASS GIS or the many other projects under our umbrella - then you need to hear this talk. Invest in yourself - use open source!
NASA Astrophysics Data System (ADS)
Hellman, S. B.; Lisowski, S.; Baker, B.; Hagerty, M.; Lomax, A.; Leifer, J. M.; Thies, D. A.; Schnackenberg, A.; Barrows, J.
2015-12-01
Tsunami Information technology Modernization (TIM) is a National Oceanic and Atmospheric Administration (NOAA) project to update and standardize the earthquake and tsunami monitoring systems currently employed at the U.S. Tsunami Warning Centers in Ewa Beach, Hawaii (PTWC) and Palmer, Alaska (NTWC). While this project was funded by NOAA to solve a specific problem, the requirements that the delivered system be both open source and easily maintainable have resulted in the creation of a variety of open source (OS) software packages. The open source software is now complete and this is a presentation of the OS Software that has been funded by NOAA for benefit of the entire seismic community. The design architecture comprises three distinct components: (1) The user interface, (2) The real-time data acquisition and processing system and (3) The scientific algorithm library. The system follows a modular design with loose coupling between components. We now identify the major project constituents. The user interface, CAVE, is written in Java and is compatible with the existing National Weather Service (NWS) open source graphical system AWIPS. The selected real-time seismic acquisition and processing system is open source SeisComp3 (sc3). The seismic library (libseismic) contains numerous custom written and wrapped open source seismic algorithms (e.g., ML/mb/Ms/Mwp, mantle magnitude (Mm), w-phase moment tensor, bodywave moment tensor, finite-fault inversion, array processing). The seismic library is organized in a way (function naming and usage) that will be familiar to users of Matlab. The seismic library extends sc3 so that it can be called by the real-time system, but it can also be driven and tested outside of sc3, for example, by ObsPy or Earthworm. To unify the three principal components we have developed a flexible and lightweight communication layer called SeismoEdex.
LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kyle, Jennifer E.; Crowell, Kevin L.; Casey, Cameron P.
2017-01-31
We introduce an open-source software, LIQUID, for semi-automated processing and visualization of LC-MS/MS based lipidomics data. LIQUID provides users with the capability to process high throughput data and contains a customizable target library and scoring model per project needs. The graphical user interface provides visualization of multiple lines of spectral evidence for each lipid identification, allowing rapid examination of data for making confident identifications of lipid molecular species.
"XANSONS for COD": a new small BOINC project in crystallography
NASA Astrophysics Data System (ADS)
Neverov, Vladislav S.; Khrapov, Nikolay P.
2018-04-01
"XANSONS for COD" (http://xansons4cod.com) is a new BOINC project aimed at creating the open-access database of simulated x-ray and neutron powder diffraction patterns for nanocrystalline phase of materials from the collection of the Crystallography Open Database (COD). The project uses original open-source software XaNSoNS to simulate diffraction patterns on CPU and GPU. This paper describes the scientific problem this project solves, the project's internal structure, its operation principles and organization of the final database.
Web accessibility and open source software.
Obrenović, Zeljko
2009-07-01
A Web browser provides a uniform user interface to different types of information. Making this interface universally accessible and more interactive is a long-term goal still far from being achieved. Universally accessible browsers require novel interaction modalities and additional functionalities, for which existing browsers tend to provide only partial solutions. Although functionality for Web accessibility can be found as open source and free software components, their reuse and integration is complex because they were developed in diverse implementation environments, following standards and conventions incompatible with the Web. To address these problems, we have started several activities that aim at exploiting the potential of open-source software for Web accessibility. The first of these activities is the development of Adaptable Multi-Interface COmmunicator (AMICO):WEB, an infrastructure that facilitates efficient reuse and integration of open source software components into the Web environment. The main contribution of AMICO:WEB is in enabling the syntactic and semantic interoperability between Web extension mechanisms and a variety of integration mechanisms used by open source and free software components. Its design is based on our experiences in solving practical problems where we have used open source components to improve accessibility of rich media Web applications. The second of our activities involves improving education, where we have used our platform to teach students how to build advanced accessibility solutions from diverse open-source software. We are also partially involved in the recently started Eclipse projects called Accessibility Tools Framework (ACTF), the aim of which is development of extensible infrastructure, upon which developers can build a variety of utilities that help to evaluate and enhance the accessibility of applications and content for people with disabilities. In this article we briefly report on these activities.
Embracing Open Source for NASA's Earth Science Data Systems
NASA Technical Reports Server (NTRS)
Baynes, Katie; Pilone, Dan; Boller, Ryan; Meyer, David; Murphy, Kevin
2017-01-01
The overarching purpose of NASAs Earth Science program is to develop a scientific understanding of Earth as a system. Scientific knowledge is most robust and actionable when resulting from transparent, traceable, and reproducible methods. Reproducibility includes open access to the data as well as the software used to arrive at results. Additionally, software that is custom-developed for NASA should be open to the greatest degree possible, to enable re-use across Federal agencies, reduce overall costs to the government, remove barriers to innovation, and promote consistency through the use of uniform standards. Finally, Open Source Software (OSS) practices facilitate collaboration between agencies and the private sector. To best meet these ends, NASAs Earth Science Division promotes the full and open sharing of not only all data, metadata, products, information, documentation, models, images, and research results but also the source code used to generate, manipulate and analyze them. This talk focuses on the challenges to open sourcing NASA developed software within ESD and the growing pains associated with establishing policies running the gamut of tracking issues, properly documenting build processes, engaging the open source community, maintaining internal compliance, and accepting contributions from external sources. This talk also covers the adoption of existing open source technologies and standards to enhance our custom solutions and our contributions back to the community. Finally, we will be introducing the most recent OSS contributions from NASA Earth Science program and promoting these projects for wider community review and adoption.
The State of Open Source Electronic Health Record Projects: A Software Anthropology Study.
Alsaffar, Mona; Yellowlees, Peter; Odor, Alberto; Hogarth, Michael
2017-02-24
Electronic health records (EHR) are a key tool in managing and storing patients' information. Currently, there are over 50 open source EHR systems available. Functionality and usability are important factors for determining the success of any system. These factors are often a direct reflection of the domain knowledge and developers' motivations. However, few published studies have focused on the characteristics of free and open source software (F/OSS) EHR systems and none to date have discussed the motivation, knowledge background, and demographic characteristics of the developers involved in open source EHR projects. This study analyzed the characteristics of prevailing F/OSS EHR systems and aimed to provide an understanding of the motivation, knowledge background, and characteristics of the developers. This study identified F/OSS EHR projects on SourceForge and other websites from May to July 2014. Projects were classified and characterized by license type, downloads, programming languages, spoken languages, project age, development status, supporting materials, top downloads by country, and whether they were "certified" EHRs. Health care F/OSS developers were also surveyed using an online survey. At the time of the assessment, we uncovered 54 open source EHR projects, but only four of them had been successfully certified under the Office of the National Coordinator for Health Information Technology (ONC Health IT) Certification Program. In the majority of cases, the open source EHR software was downloaded by users in the United States (64.07%, 148,666/232,034), underscoring that there is a significant interest in EHR open source applications in the United States. A survey of EHR open source developers was conducted and a total of 103 developers responded to the online questionnaire. The majority of EHR F/OSS developers (65.3%, 66/101) are participating in F/OSS projects as part of a paid activity and only 25.7% (26/101) of EHR F/OSS developers are, or have been, health care providers in their careers. In addition, 45% (45/99) of developers do not work in the health care field. The research presented in this study highlights some challenges that may be hindering the future of health care F/OSS. A minority of developers have been health care professionals, and only 55% (54/99) work in the health care field. This undoubtedly limits the ability of functional design of F/OSS EHR systems from being a competitive advantage over prevailing commercial EHR systems. Open source software seems to be a significant interest to many; however, given that only four F/OSS EHR systems are ONC-certified, this interest is unlikely to yield significant adoption of these systems in the United States. Although the Health Information Technology for Economic and Clinical Health (HITECH) act was responsible for a substantial infusion of capital into the EHR marketplace, the lack of a corporate entity in most F/OSS EHR projects translates to a marginal capacity to market the respective F/OSS system and to navigate certification. This likely has further disadvantaged F/OSS EHR adoption in the United States. ©Mona Alsaffar, Peter Yellowlees, Alberto Odor, Michael Hogarth. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 24.02.2017.
A Quantitative Analysis of Open Source Software's Acceptability as Production-Quality Code
ERIC Educational Resources Information Center
Fischer, Michael
2011-01-01
The difficulty in writing defect-free software has been long acknowledged both by academia and industry. A constant battle occurs as developers seek to craft software that works within aggressive business schedules and deadlines. Many tools and techniques are used in attempt to manage these software projects. Software metrics are a tool that has…
Studying the laws of software evolution in a long-lived FLOSS project.
Gonzalez-Barahona, Jesus M; Robles, Gregorio; Herraiz, Israel; Ortega, Felipe
2014-07-01
Some free, open-source software projects have been around for quite a long time, the longest living ones dating from the early 1980s. For some of them, detailed information about their evolution is available in source code management systems tracking all their code changes for periods of more than 15 years. This paper examines in detail the evolution of one of such projects, glibc, with the main aim of understanding how it evolved and how it matched Lehman's laws of software evolution. As a result, we have developed a methodology for studying the evolution of such long-lived projects based on the information in their source code management repository, described in detail several aspects of the history of glibc, including some activity and size metrics, and found how some of the laws of software evolution may not hold in this case. © 2013 The Authors. Journal of Software: Evolution and Process published by John Wiley & Sons Ltd.
Studying the laws of software evolution in a long-lived FLOSS project
Gonzalez-Barahona, Jesus M; Robles, Gregorio; Herraiz, Israel; Ortega, Felipe
2014-01-01
Some free, open-source software projects have been around for quite a long time, the longest living ones dating from the early 1980s. For some of them, detailed information about their evolution is available in source code management systems tracking all their code changes for periods of more than 15 years. This paper examines in detail the evolution of one of such projects, glibc, with the main aim of understanding how it evolved and how it matched Lehman's laws of software evolution. As a result, we have developed a methodology for studying the evolution of such long-lived projects based on the information in their source code management repository, described in detail several aspects of the history of glibc, including some activity and size metrics, and found how some of the laws of software evolution may not hold in this case. © 2013 The Authors. Journal of Software: Evolution and Process published by John Wiley & Sons Ltd. PMID:25893093
NASA Astrophysics Data System (ADS)
Fu, L.; West, P.; Zednik, S.; Fox, P. A.
2013-12-01
For simple portals such as vocabulary based services, which contain small amounts of data and require only hyper-textual representation, it is often an overkill to adopt the whole software stack of database, middleware and front end, or to use a general Web development framework as the starting point of development. Directly combining open source software is a much more favorable approach. However, our experience with the Coastal and Marine Spatial Planning Vocabulary (CMSPV) service portal shows that there are still issues such as system configuration and accommodating a new team member that need to be handled carefully. In this contribution, we share our experience in the context of the CMSPV portal, and focus on the tools and mechanisms we've developed to ease the configuration job and the incorporation process of new project members. We discuss the configuration issues that arise when we don't have complete control over how the software in use is configured and need to follow existing configuration styles that may not be well documented, especially when multiple pieces of such software need to work together as a combined system. As for the CMSPV portal, it is built on two pieces of open source software that are still under rapid development: a Fuseki data server and Epimorphics Linked Data API (ELDA) front end. Both lack mature documentation and tutorials. We developed comparison and labeling tools to ease the problem of system configuration. Another problem that slowed down the project is that project members came and went during the development process, so new members needed to start with a partially configured system and incomplete documentation left by old members. We developed documentation/tutorial maintenance mechanisms based on our comparison and labeling tools to make it easier for the new members to be incorporated into the project. These tools and mechanisms also provided benefit to other projects that reused the software components from the CMSPV system.
NASA Technical Reports Server (NTRS)
Stensrud, Kjell C.; Hamm, Dustin
2007-01-01
NASA's Johnson Space Center (JSC) / Flight Design and Dynamics Division (DM) has prototyped the use of Open Source middleware technology for building its next generation spacecraft mission support system. This is part of a larger initiative to use open standards and open source software as building blocks for future mission and safety critical systems. JSC is hoping to leverage standardized enterprise architectures, such as Java EE, so that its internal software development efforts can be focused on the core aspects of their problem domain. This presentation will outline the design and implementation of the Trajectory system and the lessons learned during the exercise.
The ImageJ ecosystem: an open platform for biomedical image analysis
Schindelin, Johannes; Rueden, Curtis T.; Hiner, Mark C.; Eliceiri, Kevin W.
2015-01-01
Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available – from commercial to academic, special-purpose to Swiss army knife, small to large–but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts life science, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem. PMID:26153368
The ImageJ ecosystem: An open platform for biomedical image analysis.
Schindelin, Johannes; Rueden, Curtis T; Hiner, Mark C; Eliceiri, Kevin W
2015-01-01
Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available-from commercial to academic, special-purpose to Swiss army knife, small to large-but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can be freely inspected, modified, and redistributed; in particular, the open-software platform ImageJ has had a huge impact on the life sciences, and continues to do so. From its inception, ImageJ has grown significantly due largely to being freely available and its vibrant and helpful user community. Scientists as diverse as interested hobbyists, technical assistants, students, scientific staff, and advanced biology researchers use ImageJ on a daily basis, and exchange knowledge via its dedicated mailing list. Uses of ImageJ range from data visualization and teaching to advanced image processing and statistical analysis. The software's extensibility continues to attract biologists at all career stages as well as computer scientists who wish to effectively implement specific image-processing algorithms. In this review, we use the ImageJ project as a case study of how open-source software fosters its suites of software tools, making multitudes of image-analysis technology easily accessible to the scientific community. We specifically explore what makes ImageJ so popular, how it impacts the life sciences, how it inspires other projects, and how it is self-influenced by coevolving projects within the ImageJ ecosystem. © 2015 Wiley Periodicals, Inc.
Orchestrating high-throughput genomic analysis with Bioconductor
Huber, Wolfgang; Carey, Vincent J.; Gentleman, Robert; Anders, Simon; Carlson, Marc; Carvalho, Benilton S.; Bravo, Hector Corrada; Davis, Sean; Gatto, Laurent; Girke, Thomas; Gottardo, Raphael; Hahne, Florian; Hansen, Kasper D.; Irizarry, Rafael A.; Lawrence, Michael; Love, Michael I.; MacDonald, James; Obenchain, Valerie; Oleś, Andrzej K.; Pagès, Hervé; Reyes, Alejandro; Shannon, Paul; Smyth, Gordon K.; Tenenbaum, Dan; Waldron, Levi; Morgan, Martin
2015-01-01
Bioconductor is an open-source, open-development software project for the analysis and comprehension of high-throughput data in genomics and molecular biology. The project aims to enable interdisciplinary research, collaboration and rapid development of scientific software. Based on the statistical programming language R, Bioconductor comprises 934 interoperable packages contributed by a large, diverse community of scientists. Packages cover a range of bioinformatic and statistical applications. They undergo formal initial review and continuous automated testing. We present an overview for prospective users and contributors. PMID:25633503
Building a Snow Data Management System using Open Source Software (and IDL)
NASA Astrophysics Data System (ADS)
Goodale, C. E.; Mattmann, C. A.; Ramirez, P.; Hart, A. F.; Painter, T.; Zimdars, P. A.; Bryant, A.; Brodzik, M.; Skiles, M.; Seidel, F. C.; Rittger, K. E.
2012-12-01
At NASA's Jet Propulsion Laboratory free and open source software is used everyday to support a wide range of projects, from planetary to climate to research and development. In this abstract I will discuss the key role that open source software has played in building a robust science data processing pipeline for snow hydrology research, and how the system is also able to leverage programs written in IDL, making JPL's Snow Data System a hybrid of open source and proprietary software. Main Points: - The Design of the Snow Data System (illustrate how the collection of sub-systems are combined to create a complete data processing pipeline) - Discuss the Challenges of moving from a single algorithm on a laptop, to running 100's of parallel algorithms on a cluster of servers (lesson's learned) - Code changes - Software license related challenges - Storage Requirements - System Evolution (from data archiving, to data processing, to data on a map, to near-real-time products and maps) - Road map for the next 6 months (including how easily we re-used the snowDS code base to support the Airborne Snow Observatory Mission) Software in Use and their Software Licenses: IDL - Used for pre and post processing of data. Licensed under a proprietary software license held by Excelis. Apache OODT - Used for data management and workflow processing. Licensed under the Apache License Version 2. GDAL - Geospatial Data processing library used for data re-projection currently. Licensed under the X/MIT license. GeoServer - WMS Server. Licensed under the General Public License Version 2.0 Leaflet.js - Javascript web mapping library. Licensed under the Berkeley Software Distribution License. Python - Glue code and miscellaneous data processing support. Licensed under the Python Software Foundation License. Perl - Script wrapper for running the SCAG algorithm. Licensed under the General Public License Version 3. PHP - Front-end web application programming. Licensed under the PHP License Version 3.01
The 2015 Bioinformatics Open Source Conference (BOSC 2015).
Harris, Nomi L; Cock, Peter J A; Lapp, Hilmar; Chapman, Brad; Davey, Rob; Fields, Christopher; Hokamp, Karsten; Munoz-Torres, Monica
2016-02-01
The Bioinformatics Open Source Conference (BOSC) is organized by the Open Bioinformatics Foundation (OBF), a nonprofit group dedicated to promoting the practice and philosophy of open source software development and open science within the biological research community. Since its inception in 2000, BOSC has provided bioinformatics developers with a forum for communicating the results of their latest efforts to the wider research community. BOSC offers a focused environment for developers and users to interact and share ideas about standards; software development practices; practical techniques for solving bioinformatics problems; and approaches that promote open science and sharing of data, results, and software. BOSC is run as a two-day special interest group (SIG) before the annual Intelligent Systems in Molecular Biology (ISMB) conference. BOSC 2015 took place in Dublin, Ireland, and was attended by over 125 people, about half of whom were first-time attendees. Session topics included "Data Science;" "Standards and Interoperability;" "Open Science and Reproducibility;" "Translational Bioinformatics;" "Visualization;" and "Bioinformatics Open Source Project Updates". In addition to two keynote talks and dozens of shorter talks chosen from submitted abstracts, BOSC 2015 included a panel, titled "Open Source, Open Door: Increasing Diversity in the Bioinformatics Open Source Community," that provided an opportunity for open discussion about ways to increase the diversity of participants in BOSC in particular, and in open source bioinformatics in general. The complete program of BOSC 2015 is available online at http://www.open-bio.org/wiki/BOSC_2015_Schedule.
A Tour of Big Data, Open Source Data Management Technologies from the Apache Software Foundation
NASA Astrophysics Data System (ADS)
Mattmann, C. A.
2012-12-01
The Apache Software Foundation, a non-profit foundation charged with dissemination of open source software for the public good, provides a suite of data management technologies for distributed archiving, data ingestion, data dissemination, processing, triage and a host of other functionalities that are becoming critical in the Big Data regime. Apache is the world's largest open source software organization, boasting over 3000 developers from around the world all contributing to some of the most pervasive technologies in use today, from the HTTPD web server that powers a majority of Internet web sites to the Hadoop technology that is now projected at over a $1B dollar industry. Apache data management technologies are emerging as de facto off-the-shelf components for searching, distributing, processing and archiving key science data sets both geophysical, space and planetary based, all the way to biomedicine. In this talk, I will give a virtual tour of the Apache Software Foundation, its meritocracy and governance structure, and also its key big data technologies that organizations can take advantage of today and use to save cost, schedule, and resources in implementing their Big Data needs. I'll illustrate the Apache technologies in the context of several national priority projects, including the U.S. National Climate Assessment (NCA), and in the International Square Kilometre Array (SKA) project that are stretching the boundaries of volume, velocity, complexity, and other key Big Data dimensions.
An open source platform for multi-scale spatially distributed simulations of microbial ecosystems
DOE Office of Scientific and Technical Information (OSTI.GOV)
Segre, Daniel
2014-08-14
The goal of this project was to develop a tool for facilitating simulation, validation and discovery of multiscale dynamical processes in microbial ecosystems. This led to the development of an open-source software platform for Computation Of Microbial Ecosystems in Time and Space (COMETS). COMETS performs spatially distributed time-dependent flux balance based simulations of microbial metabolism. Our plan involved building the software platform itself, calibrating and testing it through comparison with experimental data, and integrating simulations and experiments to address important open questions on the evolution and dynamics of cross-feeding interactions between microbial species.
Panel: Governance in Open Source Projects and Communities
NASA Astrophysics Data System (ADS)
Bolici, Francesco; de Laat, Paul; Ljungberg, Jan; Pontiggia, Andrea; Rossi Lamastra, Cristina
“Although considerable research has been devoted to the growth and expansion of open source communities and the comparison between the efficiency of corporate structures and community structures in the field of software development, rather less attention has been paid to their governance structures (control, monitoring, supervision)” (Lattemann and Stieglitz 2005).
Application of Open Source Software by the Lunar Mapping and Modeling Project
NASA Astrophysics Data System (ADS)
Ramirez, P.; Goodale, C. E.; Bui, B.; Chang, G.; Kim, R. M.; Law, E.; Malhotra, S.; Rodriguez, L.; Sadaqathullah, S.; Mattmann, C. A.; Crichton, D. J.
2011-12-01
The Lunar Mapping and Modeling Project (LMMP), led by the Marshall Space Flight center (MSFC), is responsible for the development of an information system to support lunar exploration, decision analysis, and release of lunar data to the public. The data available through the lunar portal is predominantly derived from present lunar missions (e.g., the Lunar Reconnaissance Orbiter (LRO)) and from historical missions (e.g., Apollo). This project has created a gold source of data, models, and tools for lunar explorers to exercise and incorporate into their activities. At Jet Propulsion Laboratory (JPL), we focused on engineering and building the infrastructure to support cataloging, archiving, accessing, and delivery of lunar data. We decided to use a RESTful service-oriented architecture to enable us to abstract from the underlying technology choices and focus on interfaces to be used internally and externally. This decision allowed us to leverage several open source software components and integrate them by either writing a thin REST service layer or relying on the API they provided; the approach chosen was dependent on the targeted consumer of a given interface. We will discuss our varying experience using open source products; namely Apache OODT, Oracle Berkley DB XML, Apache Solr, and Oracle OpenSSO (now named OpenAM). Apache OODT, developed at NASA's Jet Propulsion Laboratory and recently migrated over to Apache, provided the means for ingestion and cataloguing of products within the infrastructure. Its usage was based upon team experience with the project and past benefit received on other projects internal and external to JPL. Berkeley DB XML, distributed by Oracle for both commercial and open source use, was the storage technology chosen for our metadata. This decision was in part based on our use Federal Geographic Data Committee (FGDC) Metadata, which is expressed in XML, and the desire to keep it in its native form and exploit other technologies built on top of XML. Apache Solr, an open source search engine, was used to drive our search interface and as way to store references to metadata and data exposed via REST endpoints. As was the case with Apache OODT there was team experience with this component that helped drive this choice. Lastly, OpenSSO, an open source single sign on service, was used to secure and provide access constraints to our REST based services. For this product there was little past experience but given our service based approach seemed to be a natural fit. Given our exposure to open source we will discuss the tradeoffs and benefits received by the choices made. Moreover, we will dive into the context of how the software packages were used and the impact of their design and extensibility had on the construction of the infrastructure. Finally, we will compare our encounter across open source solutions and attributes that can vary the impression one will get. This comprehensive account of our endeavor should aid others in their assessment and use of open source.
DOE Office of Scientific and Technical Information (OSTI.GOV)
The plpdfa software is a product of an LDRD project at LLNL entitked "Adaptive Sampling for Very High Throughput Data Streams" (tracking number 11-ERD-035). This software was developed by a graduate student summer intern, Chris Challis, who worked under project PI Dan Merl furing the summer of 2011. The software the source code is implementing is a statistical analysis technique for clustering and classification of text-valued data. The method had been previously published by the PI in the open literature.
The 2015 Bioinformatics Open Source Conference (BOSC 2015)
Harris, Nomi L.; Cock, Peter J. A.; Lapp, Hilmar
2016-01-01
The Bioinformatics Open Source Conference (BOSC) is organized by the Open Bioinformatics Foundation (OBF), a nonprofit group dedicated to promoting the practice and philosophy of open source software development and open science within the biological research community. Since its inception in 2000, BOSC has provided bioinformatics developers with a forum for communicating the results of their latest efforts to the wider research community. BOSC offers a focused environment for developers and users to interact and share ideas about standards; software development practices; practical techniques for solving bioinformatics problems; and approaches that promote open science and sharing of data, results, and software. BOSC is run as a two-day special interest group (SIG) before the annual Intelligent Systems in Molecular Biology (ISMB) conference. BOSC 2015 took place in Dublin, Ireland, and was attended by over 125 people, about half of whom were first-time attendees. Session topics included “Data Science;” “Standards and Interoperability;” “Open Science and Reproducibility;” “Translational Bioinformatics;” “Visualization;” and “Bioinformatics Open Source Project Updates”. In addition to two keynote talks and dozens of shorter talks chosen from submitted abstracts, BOSC 2015 included a panel, titled “Open Source, Open Door: Increasing Diversity in the Bioinformatics Open Source Community,” that provided an opportunity for open discussion about ways to increase the diversity of participants in BOSC in particular, and in open source bioinformatics in general. The complete program of BOSC 2015 is available online at http://www.open-bio.org/wiki/BOSC_2015_Schedule. PMID:26914653
The state and profile of open source software projects in health and medical informatics.
Janamanchi, Balaji; Katsamakas, Evangelos; Raghupathi, Wullianallur; Gao, Wei
2009-07-01
Little has been published about the application profiles and development patterns of open source software (OSS) in health and medical informatics. This study explores these issues with an analysis of health and medical informatics related OSS projects on SourceForge, a large repository of open source projects. A search was conducted on the SourceForge website during the period from May 1 to 15, 2007, to identify health and medical informatics OSS projects. This search resulted in a sample of 174 projects. A Java-based parser was written to extract data for several of the key variables of each project. Several visually descriptive statistics were generated to analyze the profiles of the OSS projects. Many of the projects have sponsors, implying a growing interest in OSS among organizations. Sponsorship, we discovered, has a significant impact on project success metrics. Nearly two-thirds of the projects have a restrictive license type. Restrictive licensing may indicate tighter control over the development process. Our sample includes a wide range of projects that are at various stages of development (status). Projects targeted towards the advanced end user are primarily focused on bio-informatics, data formats, database and medical science applications. We conclude that there exists an active and thriving OSS development community that is focusing on health and medical informatics. A wide range of OSS applications are in development, from bio-informatics to hospital information systems. A profile of OSS in health and medical informatics emerges that is distinct and unique to the health care field. Future research can focus on OSS acceptance and diffusion and impact on cost, efficiency and quality of health care.
The Emergence of Open-Source Software in China
ERIC Educational Resources Information Center
Pan, Guohua; Bonk, Curtis J.
2007-01-01
The open-source software movement is gaining increasing momentum in China. Of the limited numbers of open-source software in China, "Red Flag Linux" stands out most strikingly, commanding 30 percent share of Chinese software market. Unlike the spontaneity of open-source movement in North America, open-source software development in…
An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics
2010-01-01
Background Bioinformatics researchers are now confronted with analysis of ultra large-scale data sets, a problem that will only increase at an alarming rate in coming years. Recent developments in open source software, that is, the Hadoop project and associated software, provide a foundation for scaling to petabyte scale data warehouses on Linux clusters, providing fault-tolerant parallelized analysis on such data using a programming style named MapReduce. Description An overview is given of the current usage within the bioinformatics community of Hadoop, a top-level Apache Software Foundation project, and of associated open source software projects. The concepts behind Hadoop and the associated HBase project are defined, and current bioinformatics software that employ Hadoop is described. The focus is on next-generation sequencing, as the leading application area to date. Conclusions Hadoop and the MapReduce programming paradigm already have a substantial base in the bioinformatics community, especially in the field of next-generation sequencing analysis, and such use is increasing. This is due to the cost-effectiveness of Hadoop-based analysis on commodity Linux clusters, and in the cloud via data upload to cloud vendors who have implemented Hadoop/HBase; and due to the effectiveness and ease-of-use of the MapReduce method in parallelization of many data analysis algorithms. PMID:21210976
An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics.
Taylor, Ronald C
2010-12-21
Bioinformatics researchers are now confronted with analysis of ultra large-scale data sets, a problem that will only increase at an alarming rate in coming years. Recent developments in open source software, that is, the Hadoop project and associated software, provide a foundation for scaling to petabyte scale data warehouses on Linux clusters, providing fault-tolerant parallelized analysis on such data using a programming style named MapReduce. An overview is given of the current usage within the bioinformatics community of Hadoop, a top-level Apache Software Foundation project, and of associated open source software projects. The concepts behind Hadoop and the associated HBase project are defined, and current bioinformatics software that employ Hadoop is described. The focus is on next-generation sequencing, as the leading application area to date. Hadoop and the MapReduce programming paradigm already have a substantial base in the bioinformatics community, especially in the field of next-generation sequencing analysis, and such use is increasing. This is due to the cost-effectiveness of Hadoop-based analysis on commodity Linux clusters, and in the cloud via data upload to cloud vendors who have implemented Hadoop/HBase; and due to the effectiveness and ease-of-use of the MapReduce method in parallelization of many data analysis algorithms.
NASA Astrophysics Data System (ADS)
Morin, Paul; Porter, Claire; Cloutier, Michael; Howat, Ian; Noh, Myoung-Jong; Willis, Michael; Kramer, WIlliam; Bauer, Greg; Bates, Brian; Williamson, Cathleen
2017-04-01
Surface topography is among the most fundamental data sets for geosciences, essential for disciplines ranging from glaciology to geodynamics. Two new projects are using sub-meter, commercial imagery licensed by the National Geospatial-Intelligence Agency and open source photogrammetry software to produce a time-tagged 2m posting elevation model of the Arctic and an 8m posting reference elevation model for the Antarctic. When complete, this publically available data will be at higher resolution than any elevation models that cover the entirety of the Western United States. These two polar projects are made possible due to three equally important factors: 1) open-source photogrammetry software, 2) petascale computing, and 3) sub-meter imagery licensed to the United States Government. Our talk will detail the technical challenges of using automated photogrammetry software; the rapid workflow evolution to allow DEM production; the task of deploying the workflow on one of the world's largest supercomputers; the trials of moving massive amounts of data, and the management strategies the team needed to solve in order to meet deadlines. Finally, we will discuss the implications of this type of collaboration for future multi-team use of leadership-class systems such as Blue Waters, and for further elevation mapping.
NASA Astrophysics Data System (ADS)
Ames, D. P.
2013-12-01
As has been seen in other informatics fields, well-documented and appropriately licensed open source software tools have the potential to significantly increase both opportunities and motivation for inter-institutional science and technology collaboration. The CUAHSI HIS (and related HydroShare) projects have aimed to foster such activities in hydrology resulting in the development of many useful community software components including the HydroDesktop software application. HydroDesktop is an open source, GIS-based, scriptable software application for discovering data on the CUAHSI Hydrologic Information System and related resources. It includes a well-defined plugin architecture and interface to allow 3rd party developers to create extensions and add new functionality without requiring recompiling of the full source code. HydroDesktop is built in the C# programming language and uses the open source DotSpatial GIS engine for spatial data management. Capabilities include data search, discovery, download, visualization, and export. An extension that integrates the R programming language with HydroDesktop provides scripting and data automation capabilities and an OpenMI plugin provides the ability to link models. Current revision and updates to HydroDesktop include migration of core business logic to cross platform, scriptable Python code modules that can be executed in any operating system or linked into other software front-end applications.
Continuous integration for concurrent MOOSE framework and application development on GitHub
Slaughter, Andrew E.; Peterson, John W.; Gaston, Derek R.; ...
2015-11-20
For the past several years, Idaho National Laboratory’s MOOSE framework team has employed modern software engineering techniques (continuous integration, joint application/framework source code repos- itories, automated regression testing, etc.) in developing closed-source multiphysics simulation software (Gaston et al., Journal of Open Research Software vol. 2, article e10, 2014). In March 2014, the MOOSE framework was released under an open source license on GitHub, significantly expanding and diversifying the pool of current active and potential future contributors on the project. Despite this recent growth, the same philosophy of concurrent framework and application development continues to guide the project’s development roadmap. Severalmore » specific practices, including techniques for managing multiple repositories, conducting automated regression testing, and implementing a cascading build process are discussed in this short paper. Furthermore, special attention is given to describing the manner in which these practices naturally synergize with the GitHub API and GitHub-specific features such as issue tracking, Pull Requests, and project forks.« less
Continuous integration for concurrent MOOSE framework and application development on GitHub
DOE Office of Scientific and Technical Information (OSTI.GOV)
Slaughter, Andrew E.; Peterson, John W.; Gaston, Derek R.
For the past several years, Idaho National Laboratory’s MOOSE framework team has employed modern software engineering techniques (continuous integration, joint application/framework source code repos- itories, automated regression testing, etc.) in developing closed-source multiphysics simulation software (Gaston et al., Journal of Open Research Software vol. 2, article e10, 2014). In March 2014, the MOOSE framework was released under an open source license on GitHub, significantly expanding and diversifying the pool of current active and potential future contributors on the project. Despite this recent growth, the same philosophy of concurrent framework and application development continues to guide the project’s development roadmap. Severalmore » specific practices, including techniques for managing multiple repositories, conducting automated regression testing, and implementing a cascading build process are discussed in this short paper. Furthermore, special attention is given to describing the manner in which these practices naturally synergize with the GitHub API and GitHub-specific features such as issue tracking, Pull Requests, and project forks.« less
Upon the Shoulders of Giants: Open-Source Hardware and Software in Analytical Chemistry.
Dryden, Michael D M; Fobel, Ryan; Fobel, Christian; Wheeler, Aaron R
2017-04-18
Isaac Newton famously observed that "if I have seen further it is by standing on the shoulders of giants." We propose that this sentiment is a powerful motivation for the "open-source" movement in scientific research, in which creators provide everything needed to replicate a given project online, as well as providing explicit permission for users to use, improve, and share it with others. Here, we write to introduce analytical chemists who are new to the open-source movement to best practices and concepts in this area and to survey the state of open-source research in analytical chemistry. We conclude by considering two examples of open-source projects from our own research group, with the hope that a description of the process, motivations, and results will provide a convincing argument about the benefits that this movement brings to both creators and users.
Using R to implement spatial analysis in open source environment
NASA Astrophysics Data System (ADS)
Shao, Yixi; Chen, Dong; Zhao, Bo
2007-06-01
R is an open source (GPL) language and environment for spatial analysis, statistical computing and graphics which provides a wide variety of statistical and graphical techniques, and is highly extensible. In the Open Source environment it plays an important role in doing spatial analysis. So, to implement spatial analysis in the Open Source environment which we called the Open Source geocomputation is using the R data analysis language integrated with GRASS GIS and MySQL or PostgreSQL. This paper explains the architecture of the Open Source GIS environment and emphasizes the role R plays in the aspect of spatial analysis. Furthermore, one apt illustration of the functions of R is given in this paper through the project of constructing CZPGIS (Cheng Zhou Population GIS) supported by Changzhou Government, China. In this project we use R to implement the geostatistics in the Open Source GIS environment to evaluate the spatial correlation of land price and estimate it by Kriging Interpolation. We also use R integrated with MapServer and php to show how R and other Open Source software cooperate with each other in WebGIS environment, which represents the advantages of using R to implement spatial analysis in Open Source GIS environment. And in the end, we points out that the packages for spatial analysis in R is still scattered and the limited memory is still a bottleneck when large sum of clients connect at the same time. Therefore further work is to group the extensive packages in order or design normative packages and make R cooperate better with other commercial software such as ArcIMS. Also we look forward to developing packages for land price evaluation.
Guidance and Control Software Project Data - Volume 2: Development Documents
NASA Technical Reports Server (NTRS)
Hayhurst, Kelly J. (Editor)
2008-01-01
The Guidance and Control Software (GCS) project was the last in a series of software reliability studies conducted at Langley Research Center between 1977 and 1994. The technical results of the GCS project were recorded after the experiment was completed. Some of the support documentation produced as part of the experiment, however, is serving an unexpected role far beyond its original project context. Some of the software used as part of the GCS project was developed to conform to the RTCA/DO-178B software standard, "Software Considerations in Airborne Systems and Equipment Certification," used in the civil aviation industry. That standard requires extensive documentation throughout the software development life cycle, including plans, software requirements, design and source code, verification cases and results, and configuration management and quality control data. The project documentation that includes this information is open for public scrutiny without the legal or safety implications associated with comparable data from an avionics manufacturer. This public availability has afforded an opportunity to use the GCS project documents for DO-178B training. This report provides a brief overview of the GCS project, describes the 4-volume set of documents and the role they are playing in training, and includes the development documents from the GCS project. Volume 2 contains three appendices: A. Guidance and Control Software Development Specification; B. Design Description for the Pluto Implementation of the Guidance and Control Software; and C. Source Code for the Pluto Implementation of the Guidance and Control Software
VIVO Open Source Software: Connecting Facilities to Promote Discovery and Further Research.
NASA Astrophysics Data System (ADS)
Gross, M. B.; Rowan, L. R.; Mayernik, M. S.; Daniels, M. D.; Stott, D.; Allison, J.; Maull, K. E.; Krafft, D. B.; Khan, H.
2016-12-01
EarthCollab (http://earthcube.org/group/earthcollab), a National Science Foundation (NSF) EarthCube Building Block project, has adapted an open source semantic web application, VIVO, for use within the earth science domain. EarthCollab is a partnership between UNAVCO, an NSF facility supporting research through geodetic services, the Earth Observing Laboratory (EOL) at the National Center for Atmospheric Research (NCAR), and Cornell University, where VIVO was created to highlight the scholarly output of researchers at universities. Two public sites have been released: Connect UNAVCO (connect.unavco.org) and Arctic Data Connects (vivo.eol.ucar.edu). The core VIVO software and ontology have been extended to work better with concepts necessary for capturing work within UNAVCO's and EOL's province such as principal investigators for continuous GPS/GNSS stations at UNAVCO and keywords describing cruise datasets at EOL. The sites increase discoverability of large and diverse data archives by linking data with people, research, and field projects. Disambiguation is a major challenge when using VIVO and open data when "anyone can say anything about anything." Concepts and controlled vocabularies help to build consistent and easily searchable connections within VIVO. We use aspects of subject heading services such as FAST and LOC, as well as AGU and GSA fields of research and subject areas to reveal connections, especially with VIVO instances at other institutions. VIVO works effectively with persistent IDs and the projects strive to utilize publication and data DOIs, ORCIDs for people, and ISNI and GRID for organizations. ORCID, an open source project, is very useful for disambiguation and unlike other identifier systems for people developed by publishers, makes public data available via an API. VIVO utilizes Solr and Freemarker, which are open source search engine and templating technologies, respectively. Additionally, a handful of popular open source libraries and applications are being used in the project such as D3.js, jQuery, Leaflet, and Elasticsearch. Our implementation of these open source projects within VIVO is available for adaptation by other institutions using VIVO via GitHub (git.io/vG9AJ).
NASA Astrophysics Data System (ADS)
Lemmens, R.; Maathuis, B.; Mannaerts, C.; Foerster, T.; Schaeffer, B.; Wytzisk, A.
2009-12-01
This paper involves easy accessible integrated web-based analysis of satellite images with a plug-in based open source software. The paper is targeted to both users and developers of geospatial software. Guided by a use case scenario, we describe the ILWIS software and its toolbox to access satellite images through the GEONETCast broadcasting system. The last two decades have shown a major shift from stand-alone software systems to networked ones, often client/server applications using distributed geo-(web-)services. This allows organisations to combine without much effort their own data with remotely available data and processing functionality. Key to this integrated spatial data analysis is a low-cost access to data from within a user-friendly and flexible software. Web-based open source software solutions are more often a powerful option for developing countries. The Integrated Land and Water Information System (ILWIS) is a PC-based GIS & Remote Sensing software, comprising a complete package of image processing, spatial analysis and digital mapping and was developed as commercial software from the early nineties onwards. Recent project efforts have migrated ILWIS into a modular, plug-in-based open source software, and provide web-service support for OGC-based web mapping and processing. The core objective of the ILWIS Open source project is to provide a maintainable framework for researchers and software developers to implement training components, scientific toolboxes and (web-) services. The latest plug-ins have been developed for multi-criteria decision making, water resources analysis and spatial statistics analysis. The development of this framework is done since 2007 in the context of 52°North, which is an open initiative that advances the development of cutting edge open source geospatial software, using the GPL license. GEONETCast, as part of the emerging Global Earth Observation System of Systems (GEOSS), puts essential environmental data at the fingertips of users around the globe. This user-friendly and low-cost information dissemination provides global information as a basis for decision-making in a number of critical areas, including public health, energy, agriculture, weather, water, climate, natural disasters and ecosystems. GEONETCast makes available satellite images via Digital Video Broadcast (DVB) technology. An OGC WMS interface and plug-ins which convert GEONETCast data streams allow an ILWIS user to integrate various distributed data sources with data locally stored on his machine. Our paper describes a use case in which ILWIS is used with GEONETCast satellite imagery for decision making processes in Ghana. We also explain how the ILWIS software can be extended with additional functionality by means of building plug-ins and unfold our plans to implement other OGC standards, such as WCS and WPS in the same context. Especially, the latter one can be seen as a major step forward in terms of moving well-proven desktop based processing functionality to the web. This enables the embedding of ILWIS functionality in Spatial Data Infrastructures or even the execution in scalable and on-demand cloud computing environments.
Undergraduate Research Opportunities in OSS
NASA Astrophysics Data System (ADS)
Boldyreff, Cornelia; Capiluppi, Andrea; Knowles, Thomas; Munro, James
Using Open Source Software (OSS) in undergraduate teaching in universities is now commonplace. Students use OSS applications and systems in their courses on programming, operating systems, DBMS, web development to name but a few. Studying OSS projects from both a product and a process view also forms part of the software engineering curriculum at various universities. Many students have taken part in OSS projects as well as developers.
Computer Forensics Education - the Open Source Approach
NASA Astrophysics Data System (ADS)
Huebner, Ewa; Bem, Derek; Cheung, Hon
In this chapter we discuss the application of the open source software tools in computer forensics education at tertiary level. We argue that open source tools are more suitable than commercial tools, as they provide the opportunity for students to gain in-depth understanding and appreciation of the computer forensic process as opposed to familiarity with one software product, however complex and multi-functional. With the access to all source programs the students become more than just the consumers of the tools as future forensic investigators. They can also examine the code, understand the relationship between the binary images and relevant data structures, and in the process gain necessary background to become the future creators of new and improved forensic software tools. As a case study we present an advanced subject, Computer Forensics Workshop, which we designed for the Bachelor's degree in computer science at the University of Western Sydney. We based all laboratory work and the main take-home project in this subject on open source software tools. We found that without exception more than one suitable tool can be found to cover each topic in the curriculum adequately. We argue that this approach prepares students better for forensic field work, as they gain confidence to use a variety of tools, not just a single product they are familiar with.
Ensemble Eclipse: A Process for Prefab Development Environment for the Ensemble Project
NASA Technical Reports Server (NTRS)
Wallick, Michael N.; Mittman, David S.; Shams, Khawaja, S.; Bachmann, Andrew G.; Ludowise, Melissa
2013-01-01
This software simplifies the process of having to set up an Eclipse IDE programming environment for the members of the cross-NASA center project, Ensemble. It achieves this by assembling all the necessary add-ons and custom tools/preferences. This software is unique in that it allows developers in the Ensemble Project (approximately 20 to 40 at any time) across multiple NASA centers to set up a development environment almost instantly and work on Ensemble software. The software automatically has the source code repositories and other vital information and settings included. The Eclipse IDE is an open-source development framework. The NASA (Ensemble-specific) version of the software includes Ensemble-specific plug-ins as well as settings for the Ensemble project. This software saves developers the time and hassle of setting up a programming environment, making sure that everything is set up in the correct manner for Ensemble development. Existing software (i.e., standard Eclipse) requires an intensive setup process that is both time-consuming and error prone. This software is built once by a single user and tested, allowing other developers to simply download and use the software
Tools for open geospatial science
NASA Astrophysics Data System (ADS)
Petras, V.; Petrasova, A.; Mitasova, H.
2017-12-01
Open science uses open source to deal with reproducibility challenges in data and computational sciences. However, just using open source software or making the code public does not make the research reproducible. Moreover, the scientists face the challenge of learning new unfamiliar tools and workflows. In this contribution, we will look at a graduate-level course syllabus covering several software tools which make validation and reuse by a wider professional community possible. For the novices in the open science arena, we will look at how scripting languages such as Python and Bash help us reproduce research (starting with our own work). Jupyter Notebook will be introduced as a code editor, data exploration tool, and a lab notebook. We will see how Git helps us not to get lost in revisions and how Docker is used to wrap all the parts together using a single text file so that figures for a scientific paper or a technical report can be generated with a single command. We will look at examples of software and publications in the geospatial domain which use these tools and principles. Scientific contributions to GRASS GIS, a powerful open source desktop GIS and geoprocessing backend, will serve as an example of why and how to publish new algorithms and tools as part of a bigger open source project.
OPTiM: Optical projection tomography integrated microscope using open-source hardware and software
Andrews, Natalie; Davis, Samuel; Bugeon, Laurence; Dallman, Margaret D.; McGinty, James
2017-01-01
We describe the implementation of an OPT plate to perform optical projection tomography (OPT) on a commercial wide-field inverted microscope, using our open-source hardware and software. The OPT plate includes a tilt adjustment for alignment and a stepper motor for sample rotation as required by standard projection tomography. Depending on magnification requirements, three methods of performing OPT are detailed using this adaptor plate: a conventional direct OPT method requiring only the addition of a limiting aperture behind the objective lens; an external optical-relay method allowing conventional OPT to be performed at magnifications >4x; a remote focal scanning and region-of-interest method for improved spatial resolution OPT (up to ~1.6 μm). All three methods use the microscope’s existing incoherent light source (i.e. arc-lamp) and all of its inherent functionality is maintained for day-to-day use. OPT acquisitions are performed on in vivo zebrafish embryos to demonstrate the implementations’ viability. PMID:28700724
NASA Astrophysics Data System (ADS)
Mattmann, C. A.
2013-12-01
A wave of open source big data analytic infrastructure is currently shaping government, private sector, and academia. Projects are consuming, adapting, and contributing back to various ecosystems of software e.g., the Apache Hadoop project and its ecosystem of related efforts including Hive, HBase, Pig, Oozie, Ambari, Knox, Tez and Yarn, to name a few; the Berkeley AMPLab stack which includes Spark, Shark, Mesos, Tachyon, BlinkDB, MLBase, and other emerging efforts; MapR and its related stack of technologies, offerings from commercial companies building products around these tools e.g., Hortonworks Data Platform (HDP), Cloudera's CDH project, etc. Though the technologies all offer different capabilities including low latency support/in-memory, versus record oriented file I/O, high availability, support for the Map Reduce programming paradigm or other dataflow/workflow constructs, there is a common thread that binds these products - they are all released under an open source license e.g., Apache2, MIT, BSD, GPL/LGPL, etc.; all thrive in various ecosystems, such as Apache, or Berkeley AMPLab; all are developed collaboratively, and all technologies provide plug in architecture models and methodologies for allowing others to contribute, and participate via various community models. This talk will cover the open source aspects and governance aspects of the aforementioned Big Data ecosystems and point out the differences, subtleties, and implications of those differences. The discussion will be by example, using several national deployments and Big Data initiatives stemming from the Administration including DARPA's XDATA program; NASA's CMAC program; NSF's EarthCube and geosciences BigData projects. Lessons learned from these efforts in terms of the open source aspects of these technologies will help guide the AGU community in their use, deployment and understanding.
OpenStereo: Open Source, Cross-Platform Software for Structural Geology Analysis
NASA Astrophysics Data System (ADS)
Grohmann, C. H.; Campanha, G. A.
2010-12-01
Free and open source software (FOSS) are increasingly seen as synonyms of innovation and progress. Freedom to run, copy, distribute, study, change and improve the software (through access to the source code) assure a high level of positive feedback between users and developers, which results in stable, secure and constantly updated systems. Several software packages for structural geology analysis are available to the user, with commercial licenses or that can be downloaded at no cost from the Internet. Some provide basic tools of stereographic projections such as plotting poles, great circles, density contouring, eigenvector analysis, data rotation etc, while others perform more specific tasks, such as paleostress or geotechnical/rock stability analysis. This variety also means a wide range of data formating for input, Graphical User Interface (GUI) design and graphic export format. The majority of packages is built for MS-Windows and even though there are packages for the UNIX-based MacOS, there aren't native packages for *nix (UNIX, Linux, BSD etc) Operating Systems (OS), forcing the users to run these programs with emulators or virtual machines. Those limitations lead us to develop OpenStereo, an open source, cross-platform software for stereographic projections and structural geology. The software is written in Python, a high-level, cross-platform programming language and the GUI is designed with wxPython, which provide a consistent look regardless the OS. Numeric operations (like matrix and linear algebra) are performed with the Numpy module and all graphic capabilities are provided by the Matplolib library, including on-screen plotting and graphic exporting to common desktop formats (emf, eps, ps, pdf, png, svg). Data input is done with simple ASCII text files, with values of dip direction and dip/plunge separated by spaces, tabs or commas. The user can open multiple file at the same time (or the same file more than once), and overlay different elements of each dataset (poles, great circles etc). The GUI shows the opened files in a tree structure, similar to “layers” of many illustration software, where the vertical order of the files in the tree reflects the drawing order of the selected elements. At this stage, the software performs plotting operations of poles to planes, lineations, great circles, density contours and rose diagrams. A set of statistics is calculated for each file and its eigenvalues and eigenvectors are used to suggest if the data is clustered about a mean value or distributed along a girdle. Modified Flinn, Triangular and histograms plots are also available. Next step of development will focus on tools as merging and rotation of datasets, possibility to save 'projects' and paleostress analysis. In its current state, OpenStereo requires Python, wxPython, Numpy and Matplotlib installed in the system. We recommend installing PythonXY or the Enthought Python Distribution on MS-Windows and MacOS machines, since all dependencies are provided. Most Linux distributions provide an easy way to install all dependencies through software repositories. OpenStereo is released under the GNU General Public License. Programmers willing to contribute are encouraged to contact the authors directly. FAPESP Grant #09/17675-5
ggCyto: Next Generation Open-Source Visualization Software for Cytometry.
Van, Phu; Jiang, Wenxin; Gottardo, Raphael; Finak, Greg
2018-06-01
Open source software for computational cytometry has gained in popularity over the past few years. Efforts such as FlowCAP, the Lyoplate and Euroflow projects have highlighted the importance of efforts to standardize both experimental and computational aspects of cytometry data analysis. The R/BioConductor platform hosts the largest collection of open source cytometry software covering all aspects of data analysis and providing infrastructure to represent and analyze cytometry data with all relevant experimental, gating, and cell population annotations enabling fully reproducible data analysis. Data visualization frameworks to support this infrastructure have lagged behind. ggCyto is a new open-source BioConductor software package for cytometry data visualization built on ggplot2 that enables ggplot-like functionality with the core BioConductor flow cytometry data structures. Amongst its features are the ability to transform data and axes on-the-fly using cytometry-specific transformations, plot faceting by experimental meta-data variables, and partial matching of channel, marker and cell populations names to the contents of the BioConductor cytometry data structures. We demonstrate the salient features of the package using publicly available cytometry data with complete reproducible examples in a supplementary material vignette. https://bioconductor.org/packages/devel/bioc/html/ggcyto.html. gfinak@fredhutch.org. Supplementary data are available at Bioinformatics online and at http://rglab.org/ggcyto/.
A Flexible Method for Producing F.E.M. Analysis of Bone Using Open-Source Software
NASA Technical Reports Server (NTRS)
Boppana, Abhishektha; Sefcik, Ryan; Meyers, Jerry G.; Lewandowski, Beth E.
2016-01-01
This project, performed in support of the NASA GRC Space Academy summer program, sought to develop an open-source workflow methodology that segmented medical image data, created a 3D model from the segmented data, and prepared the model for finite-element analysis. In an initial step, a technological survey evaluated the performance of various existing open-source software that claim to perform these tasks. However, the survey concluded that no single software exhibited the wide array of functionality required for the potential NASA application in the area of bone, muscle and bio fluidic studies. As a result, development of a series of Python scripts provided the bridging mechanism to address the shortcomings of the available open source tools. The implementation of the VTK library provided the most quick and effective means of segmenting regions of interest from the medical images; it allowed for the export of a 3D model by using the marching cubes algorithm to build a surface mesh. To facilitate the development of the model domain from this extracted information required a surface mesh to be processed in the open-source software packages Blender and Gmsh. The Preview program of the FEBio suite proved to be sufficient for volume filling the model with an unstructured mesh and preparing boundaries specifications for finite element analysis. To fully allow FEM modeling, an in house developed Python script allowed assignment of material properties on an element by element basis by performing a weighted interpolation of voxel intensity of the parent medical image correlated to published information of image intensity to material properties, such as ash density. A graphical user interface combined the Python scripts and other software into a user friendly interface. The work using Python scripts provides a potential alternative to expensive commercial software and inadequate, limited open-source freeware programs for the creation of 3D computational models. More work will be needed to validate this approach in creating finite-element models.
Fostering successful scientific software communities
NASA Astrophysics Data System (ADS)
Bangerth, W.; Heister, T.; Hwang, L.; Kellogg, L. H.
2016-12-01
Developing sustainable open source software packages for the sciences appears at first to be primarily a technical challenge: How can one create stable and robust algorithms, appropriate software designs, sufficient documentation, quality assurance strategies such as continuous integration and test suites, or backward compatibility approaches that yield high-quality software usable not only by the authors, but also the broader community of scientists? However, our experience from almost two decades of leading the development of the deal.II software library (http://www.dealii.org, a widely-used finite element package) and the ASPECT code (http://aspect.dealii.org, used to simulate convection in the Earth's mantle) has taught us that technical aspects are not the most difficult ones in scientific open source software. Rather, it is the social challenge of building and maintaining a community of users and developers interested in answering questions on user forums, contributing code, and jointly finding solutions to common technical and non-technical challenges. These problems are posed in an environment where project leaders typically have no resources to reward the majority of contributors, where very few people are specifically paid for the work they do on the project, and with frequent turnover of contributors as project members rotate into and out of jobs. In particular, much software work is done by graduate students who may become fluent enough in a software only a year or two before they leave academia. We will discuss strategies we have found do and do not work in maintaining and growing communities around the scientific software projects we lead. Specifically, we will discuss the management style necessary to keep contributors engaged, ways to give credit where credit is due, and structuring documentation to decrease reliance on forums and thereby allow user communities to grow without straining those who answer questions.
Sustaining Open Source Communities through Hackathons - An Example from the ASPECT Community
NASA Astrophysics Data System (ADS)
Heister, T.; Hwang, L.; Bangerth, W.; Kellogg, L. H.
2016-12-01
The ecosystem surrounding a successful scientific open source software package combines both social and technical aspects. Much thought has been given to the technology side of writing sustainable software for large infrastructure projects and software libraries, but less about building the human capacity to perpetuate scientific software used in computational modeling. One effective format for building capacity is regular multi-day hackathons. Scientific hackathons bring together a group of science domain users and scientific software contributors to make progress on a specific software package. Innovation comes through the chance to work with established and new collaborations. Especially in the domain sciences with small communities, hackathons give geographically distributed scientists an opportunity to connect face-to-face. They foster lively discussions amongst scientists with different expertise, promote new collaborations, and increase transparency in both the technical and scientific aspects of code development. ASPECT is an open source, parallel, extensible finite element code to simulate thermal convection, that began development in 2011 under the Computational Infrastructure for Geodynamics. ASPECT hackathons for the past 3 years have grown the number of authors to >50, training new code maintainers in the process. Hackathons begin with leaders establishing project-specific conventions for development, demonstrating the workflow for code contributions, and reviewing relevant technical skills. Each hackathon expands the developer community. Over 20 scientists add >6,000 lines of code during the >1 week event. Participants grow comfortable contributing to the repository and over half continue to contribute afterwards. A high return rate of participants ensures continuity and stability of the group as well as mentoring for novice members. We hope to build other software communities on this model, but anticipate each to bring their own unique challenges.
Open source pipeline for ESPaDOnS reduction and analysis
NASA Astrophysics Data System (ADS)
Martioli, Eder; Teeple, Doug; Manset, Nadine; Devost, Daniel; Withington, Kanoa; Venne, Andre; Tannock, Megan
2012-09-01
OPERA is a Canada-France-Hawaii Telescope (CFHT) open source collaborative software project currently under development for an ESPaDOnS echelle spectro-polarimetric image reduction pipeline. OPERA is designed to be fully automated, performing calibrations and reduction, producing one-dimensional intensity and polarimetric spectra. The calibrations are performed on two-dimensional images. Spectra are extracted using an optimal extraction algorithm. While primarily designed for CFHT ESPaDOnS data, the pipeline is being written to be extensible to other echelle spectrographs. A primary design goal is to make use of fast, modern object-oriented technologies. Processing is controlled by a harness, which manages a set of processing modules, that make use of a collection of native OPERA software libraries and standard external software libraries. The harness and modules are completely parametrized by site configuration and instrument parameters. The software is open- ended, permitting users of OPERA to extend the pipeline capabilities. All these features have been designed to provide a portable infrastructure that facilitates collaborative development, code re-usability and extensibility. OPERA is free software with support for both GNU/Linux and MacOSX platforms. The pipeline is hosted on SourceForge under the name "opera-pipeline".
Four simple recommendations to encourage best practices in research software
Jiménez, Rafael C.; Kuzak, Mateusz; Alhamdoosh, Monther; Barker, Michelle; Batut, Bérénice; Borg, Mikael; Capella-Gutierrez, Salvador; Chue Hong, Neil; Cook, Martin; Corpas, Manuel; Flannery, Madison; Garcia, Leyla; Gelpí, Josep Ll.; Gladman, Simon; Goble, Carole; González Ferreiro, Montserrat; Gonzalez-Beltran, Alejandra; Griffin, Philippa C.; Grüning, Björn; Hagberg, Jonas; Holub, Petr; Hooft, Rob; Ison, Jon; Katz, Daniel S.; Leskošek, Brane; López Gómez, Federico; Oliveira, Luis J.; Mellor, David; Mosbergen, Rowland; Mulder, Nicola; Perez-Riverol, Yasset; Pergl, Robert; Pichler, Horst; Pope, Bernard; Sanz, Ferran; Schneider, Maria V.; Stodden, Victoria; Suchecki, Radosław; Svobodová Vařeková, Radka; Talvik, Harry-Anton; Todorov, Ilian; Treloar, Andrew; Tyagi, Sonika; van Gompel, Maarten; Vaughan, Daniel; Via, Allegra; Wang, Xiaochuan; Watson-Haigh, Nathan S.; Crouch, Steve
2017-01-01
Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provide simple recommendations that encourage the adoption of existing best practices. Software development best practices promote better quality software, and better quality software improves the reproducibility and reusability of research. These recommendations are designed around Open Source values, and provide practical suggestions that contribute to making research software and its source code more discoverable, reusable and transparent. This manuscript is aimed at developers, but also at organisations, projects, journals and funders that can increase the quality and sustainability of research software by encouraging the adoption of these recommendations. PMID:28751965
Four simple recommendations to encourage best practices in research software.
Jiménez, Rafael C; Kuzak, Mateusz; Alhamdoosh, Monther; Barker, Michelle; Batut, Bérénice; Borg, Mikael; Capella-Gutierrez, Salvador; Chue Hong, Neil; Cook, Martin; Corpas, Manuel; Flannery, Madison; Garcia, Leyla; Gelpí, Josep Ll; Gladman, Simon; Goble, Carole; González Ferreiro, Montserrat; Gonzalez-Beltran, Alejandra; Griffin, Philippa C; Grüning, Björn; Hagberg, Jonas; Holub, Petr; Hooft, Rob; Ison, Jon; Katz, Daniel S; Leskošek, Brane; López Gómez, Federico; Oliveira, Luis J; Mellor, David; Mosbergen, Rowland; Mulder, Nicola; Perez-Riverol, Yasset; Pergl, Robert; Pichler, Horst; Pope, Bernard; Sanz, Ferran; Schneider, Maria V; Stodden, Victoria; Suchecki, Radosław; Svobodová Vařeková, Radka; Talvik, Harry-Anton; Todorov, Ilian; Treloar, Andrew; Tyagi, Sonika; van Gompel, Maarten; Vaughan, Daniel; Via, Allegra; Wang, Xiaochuan; Watson-Haigh, Nathan S; Crouch, Steve
2017-01-01
Scientific research relies on computer software, yet software is not always developed following practices that ensure its quality and sustainability. This manuscript does not aim to propose new software development best practices, but rather to provide simple recommendations that encourage the adoption of existing best practices. Software development best practices promote better quality software, and better quality software improves the reproducibility and reusability of research. These recommendations are designed around Open Source values, and provide practical suggestions that contribute to making research software and its source code more discoverable, reusable and transparent. This manuscript is aimed at developers, but also at organisations, projects, journals and funders that can increase the quality and sustainability of research software by encouraging the adoption of these recommendations.
Using FLOSS Project Metadata in the Undergraduate Classroom
NASA Astrophysics Data System (ADS)
Squire, Megan; Duvall, Shannon
This paper describes our efforts to use the large amounts of data available from public repositories of free, libre, and open source software (FLOSS) in our undergraduate classrooms to teach concepts that would have previously been taught using other types of data from other sources.
gemcWeb: A Cloud Based Nuclear Physics Simulation Software
NASA Astrophysics Data System (ADS)
Markelon, Sam
2017-09-01
gemcWeb allows users to run nuclear physics simulations from the web. Being completely device agnostic, scientists can run simulations from anywhere with an Internet connection. Having a full user system, gemcWeb allows users to revisit and revise their projects, and share configurations and results with collaborators. gemcWeb is based on simulation software gemc, which is based on standard GEant4. gemcWeb requires no C++, gemc, or GEant4 knowledge. Using a simple but powerful GUI allows users to configure their project from geometries and configurations stored on the deployment server. Simulations are then run on the server, with results being posted to the user, and then securely stored. Python based and open-source, the main version of gemcWeb is hosted internally at Jefferson National Labratory and used by the CLAS12 and Electron-Ion Collider Project groups. However, as the software is open-source, and hosted as a GitHub repository, an instance can be deployed on the open web, or any institution's intra-net. An instance can be configured to host experiments specific to an institution, and the code base can be modified by any individual or group. Special thanks to: Maurizio Ungaro, PhD., creator of gemc; Markus Diefenthaler, PhD., advisor; and Kyungseon Joo, PhD., advisor.
NASA Astrophysics Data System (ADS)
Engel, P.; Schweimler, B.
2016-04-01
The deformation monitoring of structures and buildings is an important task field of modern engineering surveying, ensuring the standing and reliability of supervised objects over a long period. Several commercial hardware and software solutions for the realization of such monitoring measurements are available on the market. In addition to them, a research team at the Neubrandenburg University of Applied Sciences (NUAS) is actively developing a software package for monitoring purposes in geodesy and geotechnics, which is distributed under an open source licence and free of charge. The task of managing an open source project is well-known in computer science, but it is fairly new in a geodetic context. This paper contributes to that issue by detailing applications, frameworks, and interfaces for the design and implementation of open hardware and software solutions for sensor control, sensor networks, and data management in automatic deformation monitoring. It will be discussed how the development effort of networked applications can be reduced by using free programming tools, cloud computing technologies, and rapid prototyping methods.
Behind Linus's Law: Investigating Peer Review Processes in Open Source
ERIC Educational Resources Information Center
Wang, Jing
2013-01-01
Open source software has revolutionized the way people develop software, organize collaborative work, and innovate. The numerous open source software systems that have been created and adopted over the past decade are influential and vital in all aspects of work and daily life. The understanding of open source software development can enhance its…
ObsPy: Establishing and maintaining an open-source community package
NASA Astrophysics Data System (ADS)
Krischer, L.; Megies, T.; Barsch, R.
2017-12-01
Python's ecosystem evolved into one of the most powerful and productive research environment across disciplines. ObsPy (https://obspy.org) is a fully community driven, open-source project dedicated to provide a bridge for seismology into that ecosystem. It does so by offering Read and write support for essentially every commonly used data format in seismology, Integrated access to the largest data centers, web services, and real-time data streams, A powerful signal processing toolbox tuned to the specific needs of seismologists, and Utility functionality like travel time calculations, geodetic functions, and data visualizations. ObsPy has been in constant unfunded development for more than eight years and is developed and used by scientists around the world with successful applications in all branches of seismology. By now around 70 people directly contributed code to ObsPy and we aim to make it a self-sustaining community project.This contributions focusses on several meta aspects of open-source software in science, in particular how we experienced them. During the panel we would like to discuss obvious questions like long-term sustainability with very limited to no funding, insufficient computer science training in many sciences, and gaining hard scientific credits for software development, but also the following questions: How to best deal with the fact that a lot of scientific software is very specialized thus usually solves a complex problem but at the same time can only ever reach a limited pool of developers and users by virtue of it being so specialized? Therefore the "many eyes on the code" approach to develop and improve open-source software only applies in a limited fashion. An initial publication for a significant new scientific software package is fairly straightforward. How to on-board and motivate potential new contributors when they can no longer be lured by a potential co-authorship? When is spending significant time and effort on reusable scientific open-source development a reasonable choice for young researchers? The effort to go from purpose tailored code for a single application resulting in a scientific publication is significantly less compared to generalising and engineering it well enough so it can be used by others.
Automated Report Generation for Research Data Repositories: From i2b2 to PDF.
Thiemann, Volker S; Xu, Tingyan; Röhrig, Rainer; Majeed, Raphael W
2017-01-01
We developed an automated toolchain to generate reports of i2b2 data. It is based on free open source software and runs on a Java Application Server. It is sucessfully used in an ED registry project. The solution is highly configurable and portable to other projects based on i2b2 or compatible factual data sources.
OpenSQUID: A Flexible Open-Source Software Framework for the Control of SQUID Electronics
Jaeckel, Felix T.; Lafler, Randy J.; Boyd, S. T. P.
2013-02-06
We report commercially available computer-controlled SQUID electronics are usually delivered with software providing a basic user interface for adjustment of SQUID tuning parameters, such as bias current, flux offset, and feedback loop settings. However, in a research context it would often be useful to be able to modify this code and/or to have full control over all these parameters from researcher-written software. In the case of the STAR Cryoelectronics PCI/PFL family of SQUID control electronics, the supplied software contains modules for automatic tuning and noise characterization, but does not provide an interface for user code. On the other hand, themore » Magnicon SQUIDViewer software package includes a public application programming interface (API), but lacks auto-tuning and noise characterization features. To overcome these and other limitations, we are developing an "open-source" framework for controlling SQUID electronics which should provide maximal interoperability with user software, a unified user interface for electronics from different manufacturers, and a flexible platform for the rapid development of customized SQUID auto-tuning and other advanced features. Finally, we have completed a first implementation for the STAR Cryoelectronics hardware and have made the source code for this ongoing project available to the research community on SourceForge (http://opensquid.sourceforge.net) under the GNU public license.« less
Voet, T; Devolder, P; Pynoo, B; Vercruysse, J; Duyck, P
2007-11-01
This paper hopes to share the insights we experienced during designing, building, and running an indexing solution for a large set of radiological reports and images in a production environment for more than 3 years. Several technical challenges were encountered and solved in the course of this project. One hundred four million words in 1.8 million radiological reports from 1989 to the present were indexed and became instantaneously searchable in a user-friendly fashion; the median query duration is only 31 ms. Currently, our highly tuned index holds 332,088 unique words in four languages. The indexing system is feature-rich and language-independent and allows for making complex queries. For research and training purposes it certainly is a valuable and convenient addition to our radiology informatics toolbox. Extended use of open-source technology dramatically reduced both implementation time and cost. All software we developed related to the indexing project has been made available to the open-source community covered by an unrestricted Berkeley Software Distribution-style license.
PD5: a general purpose library for primer design software.
Riley, Michael C; Aubrey, Wayne; Young, Michael; Clare, Amanda
2013-01-01
Complex PCR applications for large genome-scale projects require fast, reliable and often highly sophisticated primer design software applications. Presently, such applications use pipelining methods to utilise many third party applications and this involves file parsing, interfacing and data conversion, which is slow and prone to error. A fully integrated suite of software tools for primer design would considerably improve the development time, the processing speed, and the reliability of bespoke primer design software applications. The PD5 software library is an open-source collection of classes and utilities, providing a complete collection of software building blocks for primer design and analysis. It is written in object-oriented C(++) with an emphasis on classes suitable for efficient and rapid development of bespoke primer design programs. The modular design of the software library simplifies the development of specific applications and also integration with existing third party software where necessary. We demonstrate several applications created using this software library that have already proved to be effective, but we view the project as a dynamic environment for building primer design software and it is open for future development by the bioinformatics community. Therefore, the PD5 software library is published under the terms of the GNU General Public License, which guarantee access to source-code and allow redistribution and modification. The PD5 software library is downloadable from Google Code and the accompanying Wiki includes instructions and examples: http://code.google.com/p/primer-design.
Open Source Software Projects Needing Security Investments
2015-06-19
modtls, BouncyCastle, gpg, otr, axolotl. 7. Static analyzers: Clang, Frama-C. 8. Nginx. 9. OpenVPN . It was noted that the funding model may be similar...to OpenSSL, where consulting funds the company. It was also noted that OpenVPN needs to correctly use OpenSSL in order to be secure, so focusing on...Dovecot 4. Other high-impact network services: OpenSSH, OpenVPN , BIND, ISC DHCP, University of Delaware NTPD 5. Core infrastructure data parsers
The Emergence of Open-Source Software in North America
ERIC Educational Resources Information Center
Pan, Guohua; Bonk, Curtis J.
2007-01-01
Unlike conventional models of software development, the open source model is based on the collaborative efforts of users who are also co-developers of the software. Interest in open source software has grown exponentially in recent years. A "Google" search for the phrase open source in early 2005 returned 28.8 million webpage hits, while…
OpenFLUID: an open-source software environment for modelling fluxes in landscapes
NASA Astrophysics Data System (ADS)
Fabre, Jean-Christophe; Rabotin, Michaël; Crevoisier, David; Libres, Aline; Dagès, Cécile; Moussa, Roger; Lagacherie, Philippe; Raclot, Damien; Voltz, Marc
2013-04-01
Integrative landscape functioning has become a common concept in environmental management. Landscapes are complex systems where many processes interact in time and space. In agro-ecosystems, these processes are mainly physical processes, including hydrological-processes, biological processes and human activities. Modelling such systems requires an interdisciplinary approach, coupling models coming from different disciplines, developed by different teams. In order to support collaborative works, involving many models coupled in time and space for integrative simulations, an open software modelling platform is a relevant answer. OpenFLUID is an open source software platform for modelling landscape functioning, mainly focused on spatial fluxes. It provides an advanced object-oriented architecture allowing to i) couple models developed de novo or from existing source code, and which are dynamically plugged to the platform, ii) represent landscapes as hierarchical graphs, taking into account multi-scale, spatial heterogeneities and landscape objects connectivity, iii) run and explore simulations in many ways : using the OpenFLUID software interfaces for users (command line interface, graphical user interface), or using external applications such as GNU R through the provided ROpenFLUID package. OpenFLUID is developed in C++ and relies on open source libraries only (Boost, libXML2, GLib/GTK, OGR/GDAL, …). For modelers and developers, OpenFLUID provides a dedicated environment for model development, which is based on an open source toolchain, including the Eclipse editor, the GCC compiler and the CMake build system. OpenFLUID is distributed under the GPLv3 open source license, with a special exception allowing to plug existing models licensed under any license. It is clearly in the spirit of sharing knowledge and favouring collaboration in a community of modelers. OpenFLUID has been involved in many research applications, such as modelling of hydrological network transfer, diagnosis and prediction of water quality taking into account human activities, study of the effect of spatial organization on hydrological fluxes, modelling of surface-subsurface water exchanges, … At LISAH research unit, OpenFLUID is the supporting development platform of the MHYDAS model, which is a distributed model for agrosystems (Moussa et al., 2002, Hydrological Processes, 16, 393-412). OpenFLUID web site : http://www.openfluid-project.org
Open Source Hbim for Cultural Heritage: a Project Proposal
NASA Astrophysics Data System (ADS)
Diara, F.; Rinaudo, F.
2018-05-01
Actual technologies are changing Cultural Heritage research, analysis, conservation and development ways, allowing new innovative approaches. The possibility of integrating Cultural Heritage data, like archaeological information, inside a three-dimensional environment system (like a Building Information Modelling) involve huge benefits for its management, monitoring and valorisation. Nowadays there are many commercial BIM solutions. However, these tools are thought and developed mostly for architecture design or technical installations. An example of better solution could be a dynamic and open platform that might consider Cultural Heritage needs as priority. Suitable solution for better and complete data usability and accessibility could be guaranteed by open source protocols. This choice would allow adapting software to Cultural Heritage needs and not the opposite, thus avoiding methodological stretches. This work will focus exactly on analysis and experimentations about specific characteristics of these kind of open source software (DBMS, CAD, Servers) applied to a Cultural Heritage example, in order to verifying their flexibility, reliability and then creating a dynamic HBIM open source prototype. Indeed, it might be a starting point for a future creation of a complete HBIM open source solution that we could adapt to others Cultural Heritage researches and analysis.
NASA Astrophysics Data System (ADS)
Lippincott, M.; Lewis, E. S.; Gehrke, G. E.; Wise, A.; Pyle, S.; Sinatra, V.; Bland, G.; Bydlowski, D.; Henry, A.; Gilberts, P. A.
2016-12-01
Community groups are interested in low-cost sensors to monitor their environment. However, many new commercial sensors are unknown devices without peer-reviewed evaluations of data quality or pathways to regulatory acceptance, and the time to achieve these outcomes may be beyond a community's patience and attention. Rather than developing a device from scratch or validating a new commercial product, a workflow is presented whereby existing technologies, especially those that are out of patent, are replicated through open online collaboration between communities affected by environmental pollution, volunteers, academic institutions, and existing open hardware and open source software projects. Technology case studies will be presented, focusing primarily on a passive PM monitor based on the UNC Passive Monitor. Stages of the project will be detailed moving from identifying community needs, reviewing existing technology, partnership development, technology replication, IP review and licensing, data quality assurance (in process), and field evaluation with community partners (in process), with special attention to partnership development and technology review. We have leveraged open hardware and open source software to lower the cost and access barriers of existing technologies for PM10-2.5 and other atmospheric measures that have already been validated through peer review. Existing validation of and regulatory familiarity with a technology enables a rapid pathway towards collecting data, shortening the time it takes for communities to leverage data in environmental management decisions. Online collaboration requires rigorous documentation that aids in spreading research methods and promoting deep engagement by interested community researchers outside academia. At the same time, careful choice of technology and the use of small-scale fabrication through laser cutting, 3D printing, and open, shared repositories of plans and software enables educational engagement that broadens a project's reach.
NASA Astrophysics Data System (ADS)
Das, I.; Oberai, K.; Sarathi Roy, P.
2012-07-01
Landslides exhibit themselves in different mass movement processes and are considered among the most complex natural hazards occurring on the earth surface. Making landslide database available online via WWW (World Wide Web) promotes the spreading and reaching out of the landslide information to all the stakeholders. The aim of this research is to present a comprehensive database for generating landslide hazard scenario with the help of available historic records of landslides and geo-environmental factors and make them available over the Web using geospatial Free & Open Source Software (FOSS). FOSS reduces the cost of the project drastically as proprietary software's are very costly. Landslide data generated for the period 1982 to 2009 were compiled along the national highway road corridor in Indian Himalayas. All the geo-environmental datasets along with the landslide susceptibility map were served through WEBGIS client interface. Open source University of Minnesota (UMN) mapserver was used as GIS server software for developing web enabled landslide geospatial database. PHP/Mapscript server-side application serve as a front-end application and PostgreSQL with PostGIS extension serve as a backend application for the web enabled landslide spatio-temporal databases. This dynamic virtual visualization process through a web platform brings an insight into the understanding of the landslides and the resulting damage closer to the affected people and user community. The landslide susceptibility dataset is also made available as an Open Geospatial Consortium (OGC) Web Feature Service (WFS) which can be accessed through any OGC compliant open source or proprietary GIS Software.
NASA Astrophysics Data System (ADS)
Zelt, C. A.
2017-12-01
Earth science attempts to understand how the earth works. This research often depends on software for modeling, processing, inverting or imaging. Freely sharing open-source software is essential to prevent reinventing the wheel and allows software to be improved and applied in ways the original author may never have envisioned. For young scientists, releasing software can increase their name ID when applying for jobs and funding, and create opportunities for collaborations when scientists who collect data want the software's creator to be involved in their project. However, we frequently hear scientists say software is a tool, it's not science. Creating software that implements a new or better way of earth modeling or geophysical processing, inverting or imaging should be viewed as earth science. Creating software for things like data visualization, format conversion, storage, or transmission, or programming to enhance computational performance, may be viewed as computer science. The former, ideally with an application to real data, can be published in earth science journals, the latter possibly in computer science journals. Citations in either case should accurately reflect the impact of the software on the community. Funding agencies need to support more software development and open-source releasing, and the community should give more high-profile awards for developing impactful open-source software. Funding support and community recognition for software development can have far reaching benefits when the software is used in foreseen and unforeseen ways, potentially for years after the original investment in the software development. For funding, an open-source release that is well documented should be required, with example input and output files. Appropriate funding will provide the incentive and time to release user-friendly software, and minimize the need for others to duplicate the effort. All funded software should be available through a single web site, ideally maintained by someone in a funded position. Perhaps the biggest challenge is the reality that researches who use software, as opposed to develop software, are more attractive university hires because they are more likely to be "big picture" scientists that publish in the highest profile journals, although sometimes the two go together.
Using Rose and Compass for Authentication
DOE Office of Scientific and Technical Information (OSTI.GOV)
White, G
2009-07-09
Many recent non-proliferation software projects include a software authentication component. In this context, 'authentication' is defined as determining that a software package performs only its intended purpose and performs that purpose correctly and reliably over many years. In addition to visual inspection by knowledgeable computer scientists, automated tools are needed to highlight suspicious code constructs both to aid the visual inspection and to guide program development. While many commercial tools are available for portions of the authentication task, they are proprietary, and have limited extensibility. An open-source, extensible tool can be customized to the unique needs of each project. ROSEmore » is an LLNL-developed robust source-to-source analysis and optimization infrastructure currently addressing large, million-line DOE applications in C, C++, and FORTRAN. It continues to be extended to support the automated analysis of binaries (x86, ARM, and PowerPC). We continue to extend ROSE to address a number of security specific requirements and apply it to software authentication for non-proliferation projects. We will give an update on the status of our work.« less
ProteoWizard: open source software for rapid proteomics tools development.
Kessner, Darren; Chambers, Matt; Burke, Robert; Agus, David; Mallick, Parag
2008-11-01
The ProteoWizard software project provides a modular and extensible set of open-source, cross-platform tools and libraries. The tools perform proteomics data analyses; the libraries enable rapid tool creation by providing a robust, pluggable development framework that simplifies and unifies data file access, and performs standard proteomics and LCMS dataset computations. The library contains readers and writers of the mzML data format, which has been written using modern C++ techniques and design principles and supports a variety of platforms with native compilers. The software has been specifically released under the Apache v2 license to ensure it can be used in both academic and commercial projects. In addition to the library, we also introduce a rapidly growing set of companion tools whose implementation helps to illustrate the simplicity of developing applications on top of the ProteoWizard library. Cross-platform software that compiles using native compilers (i.e. GCC on Linux, MSVC on Windows and XCode on OSX) is available for download free of charge, at http://proteowizard.sourceforge.net. This website also provides code examples, and documentation. It is our hope the ProteoWizard project will become a standard platform for proteomics development; consequently, code use, contribution and further development are strongly encouraged.
Free for All: Open Source Software
ERIC Educational Resources Information Center
Schneider, Karen
2008-01-01
Open source software has become a catchword in libraryland. Yet many remain unclear about open source's benefits--or even what it is. So what is open source software (OSS)? It's software that is free in every sense of the word: free to download, free to use, and free to view or modify. Most OSS is distributed on the Web and one doesn't need to…
Survivability as a Tool for Evaluating Open Source Software
2015-06-01
the thesis limited the program development, so it is only able to process project issues (bugs or feature requests), which is an important metric for...Ideally, these insights may provide an analytic framework to generate guidance for decision makers that may support the inclusion of OSS to more...refine their efforts to build quality software and to strengthen their software development communities. 1.4 Research Questions This thesis addresses
Analyzing huge pathology images with open source software.
Deroulers, Christophe; Ameisen, David; Badoual, Mathilde; Gerin, Chloé; Granier, Alexandre; Lartaud, Marc
2013-06-06
Digital pathology images are increasingly used both for diagnosis and research, because slide scanners are nowadays broadly available and because the quantitative study of these images yields new insights in systems biology. However, such virtual slides build up a technical challenge since the images occupy often several gigabytes and cannot be fully opened in a computer's memory. Moreover, there is no standard format. Therefore, most common open source tools such as ImageJ fail at treating them, and the others require expensive hardware while still being prohibitively slow. We have developed several cross-platform open source software tools to overcome these limitations. The NDPITools provide a way to transform microscopy images initially in the loosely supported NDPI format into one or several standard TIFF files, and to create mosaics (division of huge images into small ones, with or without overlap) in various TIFF and JPEG formats. They can be driven through ImageJ plugins. The LargeTIFFTools achieve similar functionality for huge TIFF images which do not fit into RAM. We test the performance of these tools on several digital slides and compare them, when applicable, to standard software. A statistical study of the cells in a tissue sample from an oligodendroglioma was performed on an average laptop computer to demonstrate the efficiency of the tools. Our open source software enables dealing with huge images with standard software on average computers. They are cross-platform, independent of proprietary libraries and very modular, allowing them to be used in other open source projects. They have excellent performance in terms of execution speed and RAM requirements. They open promising perspectives both to the clinician who wants to study a single slide and to the research team or data centre who do image analysis of many slides on a computer cluster. The virtual slide(s) for this article can be found here:http://www.diagnosticpathology.diagnomx.eu/vs/5955513929846272.
Analyzing huge pathology images with open source software
2013-01-01
Background Digital pathology images are increasingly used both for diagnosis and research, because slide scanners are nowadays broadly available and because the quantitative study of these images yields new insights in systems biology. However, such virtual slides build up a technical challenge since the images occupy often several gigabytes and cannot be fully opened in a computer’s memory. Moreover, there is no standard format. Therefore, most common open source tools such as ImageJ fail at treating them, and the others require expensive hardware while still being prohibitively slow. Results We have developed several cross-platform open source software tools to overcome these limitations. The NDPITools provide a way to transform microscopy images initially in the loosely supported NDPI format into one or several standard TIFF files, and to create mosaics (division of huge images into small ones, with or without overlap) in various TIFF and JPEG formats. They can be driven through ImageJ plugins. The LargeTIFFTools achieve similar functionality for huge TIFF images which do not fit into RAM. We test the performance of these tools on several digital slides and compare them, when applicable, to standard software. A statistical study of the cells in a tissue sample from an oligodendroglioma was performed on an average laptop computer to demonstrate the efficiency of the tools. Conclusions Our open source software enables dealing with huge images with standard software on average computers. They are cross-platform, independent of proprietary libraries and very modular, allowing them to be used in other open source projects. They have excellent performance in terms of execution speed and RAM requirements. They open promising perspectives both to the clinician who wants to study a single slide and to the research team or data centre who do image analysis of many slides on a computer cluster. Virtual slides The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/5955513929846272 PMID:23829479
Establishing a Professional Development Network around Dynamic Mathematics Software in England
ERIC Educational Resources Information Center
Lavicza, Zsolt; Hohenwarter, Markus; Jones, Keith; Lu, Allison; Dawes, Mark
2010-01-01
In this paper, we will outline some results of an NCETM (National Centre for Excellence in the Teaching of Mathematics) funded project that aimed to establish a professional development network with an open-source mathematical software--GeoGebra--in England. During the past few years a large international user and developer community has formed…
Evaluation of open source data mining software packages
Bonnie Ruefenacht; Greg Liknes; Andrew J. Lister; Haans Fisk; Dan Wendt
2009-01-01
Since 2001, the USDA Forest Service (USFS) has used classification and regression-tree technology to map USFS Forest Inventory and Analysis (FIA) biomass, forest type, forest type groups, and National Forest vegetation. This prior work used Cubist/See5 software for the analyses. The objective of this project, sponsored by the Remote Sensing Steering Committee (RSSC),...
An efficient approach to the deployment of complex open source information systems
Cong, Truong Van Chi; Groeneveld, Eildert
2011-01-01
Complex open source information systems are usually implemented as component-based software to inherit the available functionality of existing software packages developed by third parties. Consequently, the deployment of these systems not only requires the installation of operating system, application framework and the configuration of services but also needs to resolve the dependencies among components. The problem becomes more challenging when the application must be installed and used on different platforms such as Linux and Windows. To address this, an efficient approach using the virtualization technology is suggested and discussed in this paper. The approach has been applied in our project to deploy a web-based integrated information system in molecular genetics labs. It is a low-cost solution to benefit both software developers and end-users. PMID:22102770
Strengthening Software Authentication with the ROSE Software Suite
DOE Office of Scientific and Technical Information (OSTI.GOV)
White, G
2006-06-15
Many recent nonproliferation and arms control software projects include a software authentication regime. These include U.S. Government-sponsored projects both in the United States and in the Russian Federation (RF). This trend toward requiring software authentication is only accelerating. Demonstrating assurance that software performs as expected without hidden ''backdoors'' is crucial to a project's success. In this context, ''authentication'' is defined as determining that a software package performs only its intended purpose and performs said purpose correctly and reliably over the planned duration of an agreement. In addition to visual inspections by knowledgeable computer scientists, automated tools are needed to highlightmore » suspicious code constructs, both to aid visual inspection and to guide program development. While many commercial tools are available for portions of the authentication task, they are proprietary and not extensible. An open-source, extensible tool can be customized to the unique needs of each project (projects can have both common and custom rules to detect flaws and security holes). Any such extensible tool has to be based on a complete language compiler. ROSE is precisely such a compiler infrastructure developed within the Department of Energy (DOE) and targeted at the optimization of scientific applications and user-defined libraries within large-scale applications (typically applications of a million lines of code). ROSE is a robust, source-to-source analysis and optimization infrastructure currently addressing large, million-line DOE applications in C and C++ (handling the full C, C99, C++ languages and with current collaborations to support Fortran90). We propose to extend ROSE to address a number of security-specific requirements, and apply it to software authentication for nonproliferation and arms control projects.« less
PYCHEM: a multivariate analysis package for python.
Jarvis, Roger M; Broadhurst, David; Johnson, Helen; O'Boyle, Noel M; Goodacre, Royston
2006-10-15
We have implemented a multivariate statistical analysis toolbox, with an optional standalone graphical user interface (GUI), using the Python scripting language. This is a free and open source project that addresses the need for a multivariate analysis toolbox in Python. Although the functionality provided does not cover the full range of multivariate tools that are available, it has a broad complement of methods that are widely used in the biological sciences. In contrast to tools like MATLAB, PyChem 2.0.0 is easily accessible and free, allows for rapid extension using a range of Python modules and is part of the growing amount of complementary and interoperable scientific software in Python based upon SciPy. One of the attractions of PyChem is that it is an open source project and so there is an opportunity, through collaboration, to increase the scope of the software and to continually evolve a user-friendly platform that has applicability across a wide range of analytical and post-genomic disciplines. http://sourceforge.net/projects/pychem
A Stigmergy Collaboration Approach in the Open Source Software Developer Community
DOE Office of Scientific and Technical Information (OSTI.GOV)
Cui, Xiaohui; Pullum, Laura L; Treadwell, Jim N
2009-01-01
The communication model of some self-organized online communities is significantly different from the traditional social network based community. It is problematic to use social network analysis to analyze the collaboration structure and emergent behaviors in these communities because these communities lack peer-to-peer connections. Stigmergy theory provides an explanation of the collaboration model of these communities. In this research, we present a stigmergy approach for building an agent-based simulation to simulate the collaboration model in the open source software (OSS) developer community. We used a group of actors who collaborate on OSS projects through forums as our frame of reference andmore » investigated how the choices actors make in contributing their work on the projects determines the global status of the whole OSS project. In our simulation, the forum posts serve as the digital pheromone and the modified Pierre-Paul Grasse pheromone model is used for computing the developer agents behavior selection probability.« less
Guidance and Control Software Project Data - Volume 1: Planning Documents
NASA Technical Reports Server (NTRS)
Hayhurst, Kelly J. (Editor)
2008-01-01
The Guidance and Control Software (GCS) project was the last in a series of software reliability studies conducted at Langley Research Center between 1977 and 1994. The technical results of the GCS project were recorded after the experiment was completed. Some of the support documentation produced as part of the experiment, however, is serving an unexpected role far beyond its original project context. Some of the software used as part of the GCS project was developed to conform to the RTCA/DO-178B software standard, "Software Considerations in Airborne Systems and Equipment Certification," used in the civil aviation industry. That standard requires extensive documentation throughout the software development life cycle, including plans, software requirements, design and source code, verification cases and results, and configuration management and quality control data. The project documentation that includes this information is open for public scrutiny without the legal or safety implications associated with comparable data from an avionics manufacturer. This public availability has afforded an opportunity to use the GCS project documents for DO-178B training. This report provides a brief overview of the GCS project, describes the 4-volume set of documents and the role they are playing in training, and includes the planning documents from the GCS project. Volume 1 contains five appendices: A. Plan for Software Aspects of Certification for the Guidance and Control Software Project; B. Software Development Standards for the Guidance and Control Software Project; C. Software Verification Plan for the Guidance and Control Software Project; D. Software Configuration Management Plan for the Guidance and Control Software Project; and E. Software Quality Assurance Activities.
Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS.
Zaidan, A A; Zaidan, B B; Al-Haiqi, Ahmed; Kiah, M L M; Hussain, Muzammil; Abdulnabi, Mohamed
2015-02-01
Evaluating and selecting software packages that meet the requirements of an organization are difficult aspects of software engineering process. Selecting the wrong open-source EMR software package can be costly and may adversely affect business processes and functioning of the organization. This study aims to evaluate and select open-source EMR software packages based on multi-criteria decision-making. A hands-on study was performed and a set of open-source EMR software packages were implemented locally on separate virtual machines to examine the systems more closely. Several measures as evaluation basis were specified, and the systems were selected based a set of metric outcomes using Integrated Analytic Hierarchy Process (AHP) and TOPSIS. The experimental results showed that GNUmed and OpenEMR software can provide better basis on ranking score records than other open-source EMR software packages. Copyright © 2014 Elsevier Inc. All rights reserved.
Adopting Open Source Software to Address Software Risks during the Scientific Data Life Cycle
NASA Astrophysics Data System (ADS)
Vinay, S.; Downs, R. R.
2012-12-01
Software enables the creation, management, storage, distribution, discovery, and use of scientific data throughout the data lifecycle. However, the capabilities offered by software also present risks for the stewardship of scientific data, since future access to digital data is dependent on the use of software. From operating systems to applications for analyzing data, the dependence of data on software presents challenges for the stewardship of scientific data. Adopting open source software provides opportunities to address some of the proprietary risks of data dependence on software. For example, in some cases, open source software can be deployed to avoid licensing restrictions for using, modifying, and transferring proprietary software. The availability of the source code of open source software also enables the inclusion of modifications, which may be contributed by various community members who are addressing similar issues. Likewise, an active community that is maintaining open source software can be a valuable source of help, providing an opportunity to collaborate to address common issues facing adopters. As part of the effort to meet the challenges of software dependence for scientific data stewardship, risks from software dependence have been identified that exist during various times of the data lifecycle. The identification of these risks should enable the development of plans for mitigating software dependencies, where applicable, using open source software, and to improve understanding of software dependency risks for scientific data and how they can be reduced during the data life cycle.
ERIC Educational Resources Information Center
Ketterl, Markus; Schulte, Olaf A.; Hochman, Adam
2010-01-01
Purpose: The purpose of this paper is to introduce the Opencast Community, a global community of individuals, institutions, and commercial stakeholders exchanging knowledge about all matters relevant in the context of academic video and promoting projects in this context. It also gives an overview of the most prominent of these projects, Opencast…
ERIC Educational Resources Information Center
Kahle, Brewster; Prelinger, Rick; Jackson, Mary E.; Boyack, Kevin W.; Wylie, Brian N.; Davidson, George S.; Witten, Ian H.; Bainbridge, David; Boddie, Stefan J.; Garrison, William A.; Cunningham, Sally Jo; Borgman, Christine L.; Hessel, Heather
2001-01-01
These six articles discuss various issues relating to digital libraries. Highlights include public access to digital materials; intellectual property concerns; the need for collaboration across disciplines; Greenstone software for construction and presentation of digital information collections; the Colorado Digitization Project; and conferences…
An Analysis of Open Source Security Software Products Downloads
ERIC Educational Resources Information Center
Barta, Brian J.
2014-01-01
Despite the continued demand for open source security software, a gap in the identification of success factors related to the success of open source security software persists. There are no studies that accurately assess the extent of this persistent gap, particularly with respect to the strength of the relationships of open source software…
Open-source software: not quite endsville.
Stahl, Matthew T
2005-02-01
Open-source software will never achieve ubiquity. There are environments in which it simply does not flourish. By its nature, open-source development requires free exchange of ideas, community involvement, and the efforts of talented and dedicated individuals. However, pressures can come from several sources that prevent this from happening. In addition, openness and complex licensing issues invite misuse and abuse. Care must be taken to avoid the pitfalls of open-source software.
Lan, Hongzhi; Updegrove, Adam; Wilson, Nathan M; Maher, Gabriel D; Shadden, Shawn C; Marsden, Alison L
2018-02-01
Patient-specific simulation plays an important role in cardiovascular disease research, diagnosis, surgical planning and medical device design, as well as education in cardiovascular biomechanics. simvascular is an open-source software package encompassing an entire cardiovascular modeling and simulation pipeline from image segmentation, three-dimensional (3D) solid modeling, and mesh generation, to patient-specific simulation and analysis. SimVascular is widely used for cardiovascular basic science and clinical research as well as education, following increased adoption by users and development of a GATEWAY web portal to facilitate educational access. Initial efforts of the project focused on replacing commercial packages with open-source alternatives and adding increased functionality for multiscale modeling, fluid-structure interaction (FSI), and solid modeling operations. In this paper, we introduce a major SimVascular (SV) release that includes a new graphical user interface (GUI) designed to improve user experience. Additional improvements include enhanced data/project management, interactive tools to facilitate user interaction, new boundary condition (BC) functionality, plug-in mechanism to increase modularity, a new 3D segmentation tool, and new computer-aided design (CAD)-based solid modeling capabilities. Here, we focus on major changes to the software platform and outline features added in this new release. We also briefly describe our recent experiences using SimVascular in the classroom for bioengineering education.
NASA Technical Reports Server (NTRS)
Hayhurst, Kelly J. (Editor)
2008-01-01
The Guidance and Control Software (GCS) project was the last in a series of software reliability studies conducted at Langley Research Center between 1977 and 1994. The technical results of the GCS project were recorded after the experiment was completed. Some of the support documentation produced as part of the experiment, however, is serving an unexpected role far beyond its original project context. Some of the software used as part of the GCS project was developed to conform to the RTCA/DO-178B software standard, "Software Considerations in Airborne Systems and Equipment Certification," used in the civil aviation industry. That standard requires extensive documentation throughout the software development life cycle, including plans, software requirements, design and source code, verification cases and results, and configuration management and quality control data. The project documentation that includes this information is open for public scrutiny without the legal or safety implications associated with comparable data from an avionics manufacturer. This public availability has afforded an opportunity to use the GCS project documents for DO-178B training. This report provides a brief overview of the GCS project, describes the 4-volume set of documents and the role they are playing in training, and includes configuration management and quality assurance documents from the GCS project. Volume 4 contains six appendices: A. Software Accomplishment Summary for the Guidance and Control Software Project; B. Software Configuration Index for the Guidance and Control Software Project; C. Configuration Management Records for the Guidance and Control Software Project; D. Software Quality Assurance Records for the Guidance and Control Software Project; E. Problem Report for the Pluto Implementation of the Guidance and Control Software Project; and F. Support Documentation Change Reports for the Guidance and Control Software Project.
77 FR 15369 - Mobility Fund Phase I Auction GIS Data of Potentially Eligible Census Blocks
Federal Register 2010, 2011, 2012, 2013, 2014
2012-03-15
....fcc.gov/auctions/901/ , are the following: Downloadable shapefile Web mapping service MapBox map tiles... GIS software allows you to add this service as a layer to your session or project. 6. MapBox map tiles are cached map tiles of the data. With this open source software approach, these image tiles can be...
Ciobanu, O
2009-01-01
The objective of this study was to obtain three-dimensional (3D) images and to perform biomechanical simulations starting from DICOM images obtained by computed tomography (CT). Open source software were used to prepare digitized 2D images of tissue sections and to create 3D reconstruction from the segmented structures. Finally, 3D images were used in open source software in order to perform biomechanic simulations. This study demonstrates the applicability and feasibility of open source software developed in our days for the 3D reconstruction and biomechanic simulation. The use of open source software may improve the efficiency of investments in imaging technologies and in CAD/CAM technologies for implants and prosthesis fabrication which need expensive specialized software.
NASA Astrophysics Data System (ADS)
Barlow, P. M.; Filali-Meknassi, Y.; Sanford, W. E.; Winston, R. B.; Kuniansky, E.; Dawson, C.
2015-12-01
UNESCO's HOPE Initiative—the Hydro Free and (or) Open-source Platform of Experts—was launched in June 2013 as part of UNESCO's International Hydrological Programme. The Initiative arose in response to a recognized need to make free and (or) open-source water-resources software more widely accessible to Africa's water sector. A kit of software is being developed to provide African water authorities, teachers, university lecturers, and researchers with a set of programs that can be enhanced and (or) applied to the development of efficient and sustainable management strategies for Africa's water resources. The Initiative brings together experts from the many fields of water resources to identify software that might be included in the kit, to oversee an objective process for selecting software for the kit, and to engage in training and other modes of capacity building to enhance dissemination of the software. To date, teams of experts from the fields of wastewater treatment, groundwater hydrology, surface-water hydrology, and data management have been formed to identify relevant software from their respective fields. An initial version of the HOPE Software Kit was released in late August 2014 and consists of the STOAT model for wastewater treatment developed by the Water Research Center (United Kingdom) and the MODFLOW-2005 model for groundwater-flow simulation developed by the U.S. Geological Survey. The Kit is available on the UNESCO HOPE website (http://www.hope-initiative.net/).Training in the theory and use of MODFLOW-2005 is planned in southern Africa in conjunction with UNESCO's study of the Kalahari-Karoo/Stampriet Transboundary Aquifer, which extends over an area that includes parts of Botswana, Namibia, and South Africa, and in support of the European Commission's Horizon 2020 FREEWAT project (FREE and open source software tools for WATer resource management; see the UNESCO HOPE website).
Installing a Local Copy of the Reactome Web Site and Knowledgebase
McKay, Sheldon J; Weiser, Joel
2015-01-01
The Reactome project builds, maintains, and publishes a knowledgebase of biological pathways. The information in the knowledgebase is gathered from the experts in the field, peer reviewed, and edited by Reactome editorial staff and then published to the Reactome Web site, http://www.reactome.org (see UNIT 8.7; Croft et al., 2013). The Reactome software is open source and builds on top of other open-source or freely available software. Reactome data and code can be freely downloaded in its entirety and the Web site installed locally. This allows for more flexible interrogation of the data and also makes it possible to add one’s own information to the knowledgebase. PMID:26087747
General Mission Analysis Tool (GMAT): Mission, Vision, and Business Case
NASA Technical Reports Server (NTRS)
Hughes, Steven P.
2007-01-01
The Goal of the GMAT project is to develop new space trajectory optimization and mission design technology by working inclusively with ordinary people, universities businesses and other government organizations; and to share that technology in an open and unhindered way. GMAT's a free and open source software system; free for anyone to use in development of new mission concepts or to improve current missions, freely available in source code form for enhancement or future technology development.
Hybrid Optimization Parallel Search PACKage
DOE Office of Scientific and Technical Information (OSTI.GOV)
2009-11-10
HOPSPACK is open source software for solving optimization problems without derivatives. Application problems may have a fully nonlinear objective function, bound constraints, and linear and nonlinear constraints. Problem variables may be continuous, integer-valued, or a mixture of both. The software provides a framework that supports any derivative-free type of solver algorithm. Through the framework, solvers request parallel function evaluation, which may use MPI (multiple machines) or multithreading (multiple processors/cores on one machine). The framework provides a Cache and Pending Cache of saved evaluations that reduces execution time and facilitates restarts. Solvers can dynamically create other algorithms to solve subproblems, amore » useful technique for handling multiple start points and integer-valued variables. HOPSPACK ships with the Generating Set Search (GSS) algorithm, developed at Sandia as part of the APPSPACK open source software project.« less
Government Technology Acquisition Policy: The Case of Proprietary versus Open Source Software
ERIC Educational Resources Information Center
Hemphill, Thomas A.
2005-01-01
This article begins by explaining the concepts of proprietary and open source software technology, which are now competing in the marketplace. A review of recent individual and cooperative technology development and public policy advocacy efforts, by both proponents of open source software and advocates of proprietary software, subsequently…
NASA Astrophysics Data System (ADS)
De Vecchi, Daniele; Harb, Mostapha; Dell'Acqua, Fabio; Aurelio Galeazzo, Daniel
2015-04-01
Aim: The paper introduces an integrated set of open-source tools designed to process medium and high-resolution imagery with the aim to extract vulnerability indicators [1]. Problem: In the context of risk monitoring [2], a series of vulnerability proxies can be defined, such as the extension of a built-up area or buildings regularity [3]. Different open-source C and Python libraries are already available for image processing and geospatial information (e.g. OrfeoToolbox, OpenCV and GDAL). They include basic processing tools but not vulnerability-oriented workflows. Therefore, it is of significant importance to provide end-users with a set of tools capable to return information at a higher level. Solution: The proposed set of python algorithms is a combination of low-level image processing and geospatial information handling tools along with high-level workflows. In particular, two main products are released under the GPL license: source code, developers-oriented, and a QGIS plugin. These tools were produced within the SENSUM project framework (ended December 2014) where the main focus was on earthquake and landslide risk. Further development and maintenance is guaranteed by the decision to include them in the platform designed within the FP 7 RASOR project . Conclusion: With the lack of a unified software suite for vulnerability indicators extraction, the proposed solution can provide inputs for already available models like the Global Earthquake Model. The inclusion of the proposed set of algorithms within the RASOR platforms can guarantee support and enlarge the community of end-users. Keywords: Vulnerability monitoring, remote sensing, optical imagery, open-source software tools References [1] M. Harb, D. De Vecchi, F. Dell'Acqua, "Remote sensing-based vulnerability proxies in the EU FP7 project SENSUM", Symposium on earthquake and landslide risk in Central Asia and Caucasus: exploiting remote sensing and geo-spatial information management, 29-30th January 2014, Bishkek, Kyrgyz Republic. [2] UNISDR, "Living with Risk", Geneva, Switzerland, 2004. [3] P. Bisch, E. Carvalho, H. Degree, P. Fajfar, M. Fardis, P. Franchin, M. Kreslin, A. Pecker, "Eurocode 8: Seismic Design of Buildings", Lisbon, 2011. (SENSUM: www.sensum-project.eu, grant number: 312972 ) (RASOR: www.rasor-project.eu, grant number: 606888 )
NASA Astrophysics Data System (ADS)
Ames, D. P.; Kadlec, J.; Cao, Y.; Grover, D.; Horsburgh, J. S.; Whiteaker, T.; Goodall, J. L.; Valentine, D. W.
2010-12-01
A growing number of hydrologic information servers are being deployed by government agencies, university networks, and individual researchers using the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) Hydrologic Information System (HIS). The CUAHSI HIS Project has developed a standard software stack, called HydroServer, for publishing hydrologic observations data. It includes the Observations Data Model (ODM) database and Water Data Service web services, which together enable publication of data on the Internet in a standard format called Water Markup Language (WaterML). Metadata describing available datasets hosted on these servers is compiled within a central metadata catalog called HIS Central at the San Diego Supercomputer Center and is searchable through a set of predefined web services based queries. Together, these servers and central catalog service comprise a federated HIS of a scale and comprehensiveness never previously available. This presentation will briefly review/introduce the CUAHSI HIS system with special focus on a new HIS software tool called "HydroDesktop" and the open source software development web portal, www.HydroDesktop.org, which supports community development and maintenance of the software. HydroDesktop is a client-side, desktop software application that acts as a search and discovery tool for exploring the distributed network of HydroServers, downloading specific data series, visualizing and summarizing data series and exporting these to formats needed for analysis by external software. HydroDesktop is based on the open source DotSpatial GIS developer toolkit which provides it with map-based data interaction and visualization, and a plug-in interface that can be used by third party developers and researchers to easily extend the software using Microsoft .NET programming languages. HydroDesktop plug-ins that are presently available or currently under development within the project and by third party collaborators include functions for data search and discovery, extensive graphing, data editing and export, HydroServer exploration, integration with the OpenMI workflow and modeling system, and an interface for data analysis through the R statistical package.
Design and Implementation of a Modern Automatic Deformation Monitoring System
NASA Astrophysics Data System (ADS)
Engel, Philipp; Schweimler, Björn
2016-03-01
The deformation monitoring of structures and buildings is an important task field of modern engineering surveying, ensuring the standing and reliability of supervised objects over a long period. Several commercial hardware and software solutions for the realization of such monitoring measurements are available on the market. In addition to them, a research team at the University of Applied Sciences in Neubrandenburg (NUAS) is actively developing a software package for monitoring purposes in geodesy and geotechnics, which is distributed under an open source licence and free of charge. The task of managing an open source project is well-known in computer science, but it is fairly new in a geodetic context. This paper contributes to that issue by detailing applications, frameworks, and interfaces for the design and implementation of open hardware and software solutions for sensor control, sensor networks, and data management in automatic deformation monitoring. It will be discussed how the development effort of networked applications can be reduced by using free programming tools, cloud computing technologies, and rapid prototyping methods.
PLUME-FEATHER, Referencing and Finding Software for Research and Education
NASA Astrophysics Data System (ADS)
Bénassy, O.; Caron, C.; Ferret-Canape, C.; Cheylus, A.; Courcelle, E.; Dantec, C.; Dayre, P.; Dostes, T.; Durand, A.; Facq, A.; Gambini, G.; Geahchan, E.; Helft, C.; Hoffmann, D.; Ingarao, M.; Joly, P.; Kieffer, J.; Larré, J.-M.; Libes, M.; Morris, F.; Parmentier, H.; Pérochon, L.; Porte, O.; Romier, G.; Rousse, D.; Tournoy, R.; Valeins, H.
2014-06-01
PLUME-FEATHER is a non-profit project created to Promote economicaL, Useful and Maintained softwarEFor theHigher Education And THE Research communities. The site references software, mainly Free/Libre Open Source Software (FLOSS) from French universities and national research organisations, (CNRS, INRA...), laboratories or departments as well as other FLOSS software used and evaluated by users within these institutions. Each software is represented by a reference card, which describes origin, aim, installation, cost (if applicable) and user experience from the point of view of an academic user for academic users. Presently over 1000 programs are referenced on PLUME by more than 900 contributors. Although the server is maintained by a French institution, it is open to international contributions in the academic domain. All contained and validated contents are visible to anonymous public, whereas (presently more than 2000) registered users can contribute, starting with comments on single software reference cards up to help with the organisation and presentation of the referenced software products. The project has been presented to the HEP community in 2012 for the first time [1]. This is an update of the status and a call for (further) contributions.
Hoffman, John M; Noo, Frédéric; Young, Stefano; Hsieh, Scott S; McNitt-Gray, Michael
2018-06-01
To facilitate investigations into the impacts of acquisition and reconstruction parameters on quantitative imaging, radiomics and CAD using CT imaging, we previously released an open source implementation of a conventional weighted filtered backprojection reconstruction called FreeCT_wFBP. Our purpose was to extend that work by providing an open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization, called FreeCT_ICD. Model-based iterative reconstruction offers the potential for substantial radiation dose reduction, but can impose substantial computational processing and storage requirements. FreeCT_ICD is an open source implementation of a model-based iterative reconstruction method that provides a reasonable tradeoff between these requirements. This was accomplished by adapting a previously proposed method that allows the system matrix to be stored with a reasonable memory requirement. The method amounts to describing the attenuation coefficient using rotating slices that follow the helical geometry. In the initially-proposed version, the rotating slices are themselves described using blobs. We have replaced this description by a unique model that relies on tri-linear interpolation together with the principles of Joseph's method. This model offers an improvement in memory requirement while still allowing highly accurate reconstruction for conventional CT geometries. The system matrix is stored column-wise and combined with an iterative coordinate descent (ICD) optimization. The result is FreeCT_ICD, which is a reconstruction program developed on the Linux platform using C++ libraries and the open source GNU GPL v2.0 license. The software is capable of reconstructing raw projection data of helical CT scans. In this work, the software has been described and evaluated by reconstructing datasets exported from a clinical scanner which consisted of an ACR accreditation phantom dataset and a clinical pediatric thoracic scan. For the ACR phantom, image quality was comparable to clinical reconstructions as well as reconstructions using open-source FreeCT_wFBP software. The pediatric thoracic scan also yielded acceptable results. In addition, we did not observe any deleterious impact in image quality associated with the utilization of rotating slices. These evaluations also demonstrated reasonable tradeoffs in storage requirements and computational demands. FreeCT_ICD is an open-source implementation of a model-based iterative reconstruction method that extends the capabilities of previously released open source reconstruction software and provides the ability to perform vendor-independent reconstructions of clinically acquired raw projection data. This implementation represents a reasonable tradeoff between storage and computational requirements and has demonstrated acceptable image quality in both simulated and clinical image datasets. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
The case for open-source software in drug discovery.
DeLano, Warren L
2005-02-01
Widespread adoption of open-source software for network infrastructure, web servers, code development, and operating systems leads one to ask how far it can go. Will "open source" spread broadly, or will it be restricted to niches frequented by hopeful hobbyists and midnight hackers? Here we identify reasons for the success of open-source software and predict how consumers in drug discovery will benefit from new open-source products that address their needs with increased flexibility and in ways complementary to proprietary options.
Empirical tests of Zipf's law mechanism in open source Linux distribution.
Maillart, T; Sornette, D; Spaeth, S; von Krogh, G
2008-11-21
Zipf's power law is a ubiquitous empirical regularity found in many systems, thought to result from proportional growth. Here, we establish empirically the usually assumed ingredients of stochastic growth models that have been previously conjectured to be at the origin of Zipf's law. We use exceptionally detailed data on the evolution of open source software projects in Linux distributions, which offer a remarkable example of a growing complex self-organizing adaptive system, exhibiting Zipf's law over four full decades.
Time Resolved Phonon Spectroscopy, Version 1.0
DOE Office of Scientific and Technical Information (OSTI.GOV)
Goett, Johnny; Zhu, Brian
TRPS code was developed for the project "Time Resolved Phonon Spectroscopy". Routines contained in this piece of software were specially created to model phonon generation and tracking within materials that interact with ionizing radiation, particularly applicable to the modeling of cryogenic radiation detectors for dark matter and neutrino research. These routines were created to link seamlessly with the open source Geant4 framework for the modeling of radiation transport in matter, with the explicit intent of open sourcing them for eventual integration into that code base.
Guidance and Control Software Project Data - Volume 3: Verification Documents
NASA Technical Reports Server (NTRS)
Hayhurst, Kelly J. (Editor)
2008-01-01
The Guidance and Control Software (GCS) project was the last in a series of software reliability studies conducted at Langley Research Center between 1977 and 1994. The technical results of the GCS project were recorded after the experiment was completed. Some of the support documentation produced as part of the experiment, however, is serving an unexpected role far beyond its original project context. Some of the software used as part of the GCS project was developed to conform to the RTCA/DO-178B software standard, "Software Considerations in Airborne Systems and Equipment Certification," used in the civil aviation industry. That standard requires extensive documentation throughout the software development life cycle, including plans, software requirements, design and source code, verification cases and results, and configuration management and quality control data. The project documentation that includes this information is open for public scrutiny without the legal or safety implications associated with comparable data from an avionics manufacturer. This public availability has afforded an opportunity to use the GCS project documents for DO-178B training. This report provides a brief overview of the GCS project, describes the 4-volume set of documents and the role they are playing in training, and includes the verification documents from the GCS project. Volume 3 contains four appendices: A. Software Verification Cases and Procedures for the Guidance and Control Software Project; B. Software Verification Results for the Pluto Implementation of the Guidance and Control Software; C. Review Records for the Pluto Implementation of the Guidance and Control Software; and D. Test Results Logs for the Pluto Implementation of the Guidance and Control Software.
Developing an Open Source Option for NASA Software
NASA Technical Reports Server (NTRS)
Moran, Patrick J.; Parks, John W. (Technical Monitor)
2003-01-01
We present arguments in favor of developing an Open Source option for NASA software; in particular we discuss how Open Source is compatible with NASA's mission. We compare and contrast several of the leading Open Source licenses, and propose one - the Mozilla license - for use by NASA. We also address some of the related issues for NASA with respect to Open Source. In particular, we discuss some of the elements in the External Release of NASA Software document (NPG 2210.1A) that will likely have to be changed in order to make Open Source a reality withm the agency.
OOSTethys - Open Source Software for the Global Earth Observing Systems of Systems
NASA Astrophysics Data System (ADS)
Bridger, E.; Bermudez, L. E.; Maskey, M.; Rueda, C.; Babin, B. L.; Blair, R.
2009-12-01
An open source software project is much more than just picking the right license, hosting modular code and providing effective documentation. Success in advancing in an open collaborative way requires that the process match the expected code functionality to the developer's personal expertise and organizational needs as well as having an enthusiastic and responsive core lead group. We will present the lessons learned fromOOSTethys , which is a community of software developers and marine scientists who develop open source tools, in multiple languages, to integrate ocean observing systems into an Integrated Ocean Observing System (IOOS). OOSTethys' goal is to dramatically reduce the time it takes to install, adopt and update standards-compliant web services. OOSTethys has developed servers, clients and a registry. Open source PERL, PYTHON, JAVA and ASP tool kits and reference implementations are helping the marine community publish near real-time observation data in interoperable standard formats. In some cases publishing an OpenGeospatial Consortium (OGC), Sensor Observation Service (SOS) from NetCDF files or a database or even CSV text files could take only minutes depending on the skills of the developer. OOSTethys is also developing an OGC standard registry, Catalog Service for Web (CSW). This open source CSW registry was implemented to easily register and discover SOSs using ISO 19139 service metadata. A web interface layer over the CSW registry simplifies the registration process by harvesting metadata describing the observations and sensors from the “GetCapabilities” response of SOS. OPENIOOS is the web client, developed in PERL to visualize the sensors in the SOS services. While the number of OOSTethys software developers is small, currently about 10 around the world, the number of OOSTethys toolkit implementers is larger and growing and the ease of use has played a large role in spreading the use of interoperable standards compliant web services widely in the marine community.
Sanyal, Parikshit; Ganguli, Prosenjit; Barui, Sanghita; Deb, Prabal
2018-01-01
The Pap stained cervical smear is a screening tool for cervical cancer. Commercial systems are used for automated screening of liquid based cervical smears. However, there is no image analysis software used for conventional cervical smears. The aim of this study was to develop and test the diagnostic accuracy of a software for analysis of conventional smears. The software was developed using Python programming language and open source libraries. It was standardized with images from Bethesda Interobserver Reproducibility Project. One hundred and thirty images from smears which were reported Negative for Intraepithelial Lesion or Malignancy (NILM), and 45 images where some abnormality has been reported, were collected from the archives of the hospital. The software was then tested on the images. The software was able to segregate images based on overall nuclear: cytoplasmic ratio, coefficient of variation (CV) in nuclear size, nuclear membrane irregularity, and clustering. 68.88% of abnormal images were flagged by the software, as well as 19.23% of NILM images. The major difficulties faced were segmentation of overlapping cell clusters and separation of neutrophils. The software shows potential as a screening tool for conventional cervical smears; however, further refinement in technique is required.
ERIC Educational Resources Information Center
Pfaffman, Jay
2008-01-01
Free/Open Source Software (FOSS) applications meet many of the software needs of high school science classrooms. In spite of the availability and quality of FOSS tools, they remain unknown to many teachers and utilized by fewer still. In a world where most software has restrictions on copying and use, FOSS is an anomaly, free to use and to…
Demonstrating High-Accuracy Orbital Access Using Open-Source Tools
NASA Technical Reports Server (NTRS)
Gilbertson, Christian; Welch, Bryan
2017-01-01
Orbit propagation is fundamental to almost every space-based analysis. Currently, many system analysts use commercial software to predict the future positions of orbiting satellites. This is one of many capabilities that can replicated, with great accuracy, without using expensive, proprietary software. NASAs SCaN (Space Communication and Navigation) Center for Engineering, Networks, Integration, and Communications (SCENIC) project plans to provide its analysis capabilities using a combination of internal and open-source software, allowing for a much greater measure of customization and flexibility, while reducing recurring software license costs. MATLAB and the open-source Orbit Determination Toolbox created by Goddard Space Flight Center (GSFC) were utilized to develop tools with the capability to propagate orbits, perform line-of-sight (LOS) availability analyses, and visualize the results. The developed programs are modular and can be applied for mission planning and viability analysis in a variety of Solar System applications. The tools can perform 2 and N-body orbit propagation, find inter-satellite and satellite to ground station LOS access (accounting for intermediate oblate spheroid body blocking, geometric restrictions of the antenna field-of-view (FOV), and relativistic corrections), and create animations of planetary movement, satellite orbits, and LOS accesses. The code is the basis for SCENICs broad analysis capabilities including dynamic link analysis, dilution-of-precision navigation analysis, and orbital availability calculations.
Software for Real-Time Analysis of Subsonic Test Shot Accuracy
2014-03-01
used the C++ programming language, the Open Source Computer Vision ( OpenCV ®) software library, and Microsoft Windows® Application Programming...video for comparison through OpenCV image analysis tools. Based on the comparison, the software then computed the coordinates of each shot relative to...DWB researchers wanted to use the Open Source Computer Vision ( OpenCV ) software library for capturing and analyzing frames of video. OpenCV contains
Open Source Paradigm: A Synopsis of The Cathedral and the Bazaar for Health and Social Care.
Benson, Tim
2016-07-04
Open source software (OSS) is becoming more fashionable in health and social care, although the ideas are not new. However progress has been slower than many had expected. The purpose is to summarise the Free/Libre Open Source Software (FLOSS) paradigm in terms of what it is, how it impacts users and software engineers and how it can work as a business model in health and social care sectors. Much of this paper is a synopsis of Eric Raymond's seminal book The Cathedral and the Bazaar, which was the first comprehensive description of the open source ecosystem, set out in three long essays. Direct quotes from the book are used liberally, without reference to specific passages. The first part contrasts open and closed source approaches to software development and support. The second part describes the culture and practices of the open source movement. The third part considers business models. A key benefit of open source is that users can access and collaborate on improving the software if they wish. Closed source code may be regarded as a strategic business risk that that may be unacceptable if there is an open source alternative. The sharing culture of the open source movement fits well with that of health and social care.
NASA Astrophysics Data System (ADS)
Ames, D.; Kadlec, J.; Horsburgh, J. S.; Maidment, D. R.
2009-12-01
The Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI) Hydrologic Information System (HIS) project includes extensive development of data storage and delivery tools and standards including WaterML (a language for sharing hydrologic data sets via web services); and HIS Server (a software tool set for delivering WaterML from a server); These and other CUASHI HIS tools have been under development and deployment for several years and together, present a relatively complete software “stack” to support the consistent storage and delivery of hydrologic and other environmental observation data. This presentation describes the development of a new HIS software tool called “HydroDesktop” and the development of an online open source software development community to update and maintain the software. HydroDesktop is a local (i.e. not server-based) client side software tool that ultimately will run on multiple operating systems and will provide a highly usable level of access to HIS services. The software provides many key capabilities including data query, map-based visualization, data download, local data maintenance, editing, graphing, data export to selected model-specific data formats, linkage with integrated modeling systems such as OpenMI, and ultimately upload to HIS servers from the local desktop software. As the software is presently in the early stages of development, this presentation will focus on design approach and paradigm and is viewed as an opportunity to encourage participation in the open development community. Indeed, recognizing the value of community based code development as a means of ensuring end-user adoption, this project has adopted an “iterative” or “spiral” software development approach which will be described in this presentation.
Open Source Molecular Modeling
Pirhadi, Somayeh; Sunseri, Jocelyn; Koes, David Ryan
2016-01-01
The success of molecular modeling and computational chemistry efforts are, by definition, dependent on quality software applications. Open source software development provides many advantages to users of modeling applications, not the least of which is that the software is free and completely extendable. In this review we categorize, enumerate, and describe available open source software packages for molecular modeling and computational chemistry. PMID:27631126
openECA Platform and Analytics Alpha Test Results
DOE Office of Scientific and Technical Information (OSTI.GOV)
Robertson, Russell
The objective of the Open and Extensible Control and Analytics (openECA) Platform for Phasor Data project is to develop an open source software platform that significantly accelerates the production, use, and ongoing development of real-time decision support tools, automated control systems, and off-line planning systems that (1) incorporate high-fidelity synchrophasor data and (2) enhance system reliability while enabling the North American Electric Reliability Corporation (NERC) operating functions of reliability coordinator, transmission operator, and/or balancing authority to be executed more effectively.
openECA Platform and Analytics Beta Demonstration Results
DOE Office of Scientific and Technical Information (OSTI.GOV)
Robertson, Russell
The objective of the Open and Extensible Control and Analytics (openECA) Platform for Phasor Data project is to develop an open source software platform that significantly accelerates the production, use, and ongoing development of real-time decision support tools, automated control systems, and off-line planning systems that (1) incorporate high-fidelity synchrophasor data and (2) enhance system reliability while enabling the North American Electric Reliability Corporation (NERC) operating functions of reliability coordinator, transmission operator, and/or balancing authority to be executed more effectively.
Creating a Rackspace and NASA Nebula compatible cloud using the OpenStack project (Invited)
NASA Astrophysics Data System (ADS)
Clark, R.
2010-12-01
NASA and Rackspace have both provided technology to the OpenStack that allows anyone to create a private Infrastructure as a Service (IaaS) cloud using open source software and commodity hardware. OpenStack is designed and developed completely in the open and with an open governance process. NASA donated Nova, which powers the compute portion of NASA Nebula Cloud Computing Platform, and Rackspace donated Swift, which powers Rackspace Cloud Files. The project is now in continuous development by NASA, Rackspace, and hundreds of other participants. When you create a private cloud using Openstack, you will have the ability to easily interact with your private cloud, a government cloud, and an ecosystem of public cloud providers, using the same API.
GENERATING SOPHISTICATED SPATIAL SURROGATES USING THE MIMS SPATIAL ALLOCATOR
The Multimedia Integrated Modeling System (MIMS) Spatial Allocator is open-source software for generating spatial surrogates for emissions modeling, changing the map projection of Shapefiles, and performing other types of spatial allocation that does not require the use of a comm...
76 FR 75875 - Defense Federal Acquisition Regulation Supplement; Open Source Software Public Meeting
Federal Register 2010, 2011, 2012, 2013, 2014
2011-12-05
... Regulation Supplement; Open Source Software Public Meeting AGENCY: Defense Acquisition Regulations System... initiate a dialogue with industry regarding the use of open source software in DoD contracts. DATES: Public... be held in the General Services Administration (GSA), Central Office Auditorium, 1800 F Street NW...
Open Source Software Development and Lotka's Law: Bibliometric Patterns in Programming.
ERIC Educational Resources Information Center
Newby, Gregory B.; Greenberg, Jane; Jones, Paul
2003-01-01
Applies Lotka's Law to metadata on open source software development. Authoring patterns found in software development productivity are found to be comparable to prior studies of Lotka's Law for scientific and scholarly publishing, and offer promise in predicting aggregate behavior of open source developers. (Author/LRW)
Open source IPSEC software in manned and unmanned space missions
NASA Astrophysics Data System (ADS)
Edwards, Jacob
Network security is a major topic of research because cyber attackers pose a threat to national security. Securing ground-space communications for NASA missions is important because attackers could endanger mission success and human lives. This thesis describes how an open source IPsec software package was used to create a secure and reliable channel for ground-space communications. A cost efficient, reproducible hardware testbed was also created to simulate ground-space communications. The testbed enables simulation of low-bandwidth and high latency communications links to experiment how the open source IPsec software reacts to these network constraints. Test cases were built that allowed for validation of the testbed and the open source IPsec software. The test cases also simulate using an IPsec connection from mission control ground routers to points of interest in outer space. Tested open source IPsec software did not meet all the requirements. Software changes were suggested to meet requirements.
NASA Astrophysics Data System (ADS)
Foglia, L.; Rossetto, R.; Borsi, I.; Josef, S.; Boukalova, Z.; Triana, F.; Ghetta, M.; Sabbatini, T.; Bonari, E.; Cannata, M.; De Filippis, G.
2016-12-01
The EU H2020 FREEWAT project (FREE and open source software tools for WATer resource management) aims at simplifying the application of EU-water related Directives, by developing an open source and public domain, GIS-integrated platform for planning and management of ground- and surface-water resources. The FREEWAT platform is conceived as a canvas, where several distributed and physically-based simulation codes are virtually integrated. The choice of such codes was supported by the result of a survey performed by means of questionnaires distributed to 14 case study FREEWAT project partners and several stakeholders. This was performed in the first phase of the project within the WP 6 (Enhanced science and participatory approach evidence-based decision making), Task 6.1 (Definition of a "needs/tools" evaluation grid). About 30% among all the invited entities and institutions from several EU and non-EU Countries expressed their interest in contributing to the survey. Most of them were research institutions, government and geoenvironmental companies and river basin authorities.The result of the questionnaire provided a spectrum of needs and priorities of partners/stakeholders, which were addressed during the development phase of the FREEWAT platform. The main needs identified were related to ground- and surface-water quality, sustainable water management, interaction between groundwater/surface-water bodies, and design and management of Managed Aquifer Recharge schemes. Needs and priorities were then connected to the specific EU Directives and Regulations to be addressed.One of the main goals of the questionnaires was to collect information and suggestions regarding the use of existing commercial/open-source software tools to address needs and priorities, and regarding the needs to address specific water-related processes/problems.
NASA Astrophysics Data System (ADS)
Steiger, Damian S.; Haener, Thomas; Troyer, Matthias
Quantum computers promise to transform our notions of computation by offering a completely new paradigm. A high level quantum programming language and optimizing compilers are essential components to achieve scalable quantum computation. In order to address this, we introduce the ProjectQ software framework - an open source effort to support both theorists and experimentalists by providing intuitive tools to implement and run quantum algorithms. Here, we present our ProjectQ quantum compiler, which compiles a quantum algorithm from our high-level Python-embedded language down to low-level quantum gates available on the target system. We demonstrate how this compiler can be used to control actual hardware and to run high-performance simulations.
ProjectQ: Compiling quantum programs for various backends
NASA Astrophysics Data System (ADS)
Haener, Thomas; Steiger, Damian S.; Troyer, Matthias
In order to control quantum computers beyond the current generation, a high level quantum programming language and optimizing compilers will be essential. Therefore, we have developed ProjectQ - an open source software framework to facilitate implementing and running quantum algorithms both in software and on actual quantum hardware. Here, we introduce the backends available in ProjectQ. This includes a high-performance simulator and emulator to test and debug quantum algorithms, tools for resource estimation, and interfaces to several small-scale quantum devices. We demonstrate the workings of the framework and show how easily it can be further extended to control upcoming quantum hardware.
OpenClimateGIS - A Web Service Providing Climate Model Data in Commonly Used Geospatial Formats
NASA Astrophysics Data System (ADS)
Erickson, T. A.; Koziol, B. W.; Rood, R. B.
2011-12-01
The goal of the OpenClimateGIS project is to make climate model datasets readily available in commonly used, modern geospatial formats used by GIS software, browser-based mapping tools, and virtual globes.The climate modeling community typically stores climate data in multidimensional gridded formats capable of efficiently storing large volumes of data (such as netCDF, grib) while the geospatial community typically uses flexible vector and raster formats that are capable of storing small volumes of data (relative to the multidimensional gridded formats). OpenClimateGIS seeks to address this difference in data formats by clipping climate data to user-specified vector geometries (i.e. areas of interest) and translating the gridded data on-the-fly into multiple vector formats. The OpenClimateGIS system does not store climate data archives locally, but rather works in conjunction with external climate archives that expose climate data via the OPeNDAP protocol. OpenClimateGIS provides a RESTful API web service for accessing climate data resources via HTTP, allowing a wide range of applications to access the climate data.The OpenClimateGIS system has been developed using open source development practices and the source code is publicly available. The project integrates libraries from several other open source projects (including Django, PostGIS, numpy, Shapely, and netcdf4-python).OpenClimateGIS development is supported by a grant from NOAA's Climate Program Office.
Human factors for capacity building: lessons learned from the OpenMRS implementers network.
Seebregts, C J; Mamlin, B W; Biondich, P G; Fraser, H S F; Wolfe, B A; Jazayeri, D; Miranda, J; Blaya, J; Sinha, C; Bailey, C T; Kanter, A S
2010-01-01
The overall objective of this project was to investigate ways to strengthen the OpenMRS community by (i) developing capacity and implementing a network focusing specifically on the needs of OpenMRS implementers, (ii) strengthening community-driven aspects of OpenMRS and providing a dedicated forum for implementation-specific issues, and; (iii) providing regional support for OpenMRS implementations as well as mentorship and training. The methods used included (i) face-to-face networking using meetings and workshops; (ii) online collaboration tools, peer support and mentorship programmes; (iii) capacity and community development programmes, and; (iv) community outreach programmes. The community-driven approach, combined with a few simple interventions, has been a key factor in the growth and success of the OpenMRS Implementers Network. It has contributed to implementations in at least twenty-three different countries using basic online tools; and provided mentorship and peer support through an annual meeting, workshops and an internship program. The OpenMRS Implementers Network has formed collaborations with several other open source networks and is evolving regional OpenMRS Centres of Excellence to provide localized support for OpenMRS development and implementation. These initiatives are increasing the range of functionality and sustainability of open source software in the health domain, resulting in improved adoption and enterprise-readiness. Social organization and capacity development activities are important in growing a successful community-driven open source software model.
Preparing a scientific manuscript in Linux: Today's possibilities and limitations.
Tchantchaleishvili, Vakhtang; Schmitto, Jan D
2011-10-22
Increasing number of scientists are enthusiastic about using free, open source software for their research purposes. Authors' specific goal was to examine whether a Linux-based operating system with open source software packages would allow to prepare a submission-ready scientific manuscript without the need to use the proprietary software. Preparation and editing of scientific manuscripts is possible using Linux and open source software. This letter to the editor describes key steps for preparation of a publication-ready scientific manuscript in a Linux-based operating system, as well as discusses the necessary software components. This manuscript was created using Linux and open source programs for Linux.
2008-06-01
project is not an isolated OSSD project. Instead, the NetBeans IDE which is the focus of development activities in the NetBeans.org project community...facilitate or constrain the intended usage of the NetBeans IDE. Figure 1 provides a rendering of some of the more visible OSSD projects that...as BioBeans and RefactorIT communities build tools on top of or extending the NetBeans platform or IDE. How do these organizations interact with
Instrumentino: An Open-Source Software for Scientific Instruments.
Koenka, Israel Joel; Sáiz, Jorge; Hauser, Peter C
2015-01-01
Scientists often need to build dedicated computer-controlled experimental systems. For this purpose, it is becoming common to employ open-source microcontroller platforms, such as the Arduino. These boards and associated integrated software development environments provide affordable yet powerful solutions for the implementation of hardware control of transducers and acquisition of signals from detectors and sensors. It is, however, a challenge to write programs that allow interactive use of such arrangements from a personal computer. This task is particularly complex if some of the included hardware components are connected directly to the computer and not via the microcontroller. A graphical user interface framework, Instrumentino, was therefore developed to allow the creation of control programs for complex systems with minimal programming effort. By writing a single code file, a powerful custom user interface is generated, which enables the automatic running of elaborate operation sequences and observation of acquired experimental data in real time. The framework, which is written in Python, allows extension by users, and is made available as an open source project.
ERIC Educational Resources Information Center
Simpson, James Daniel
2014-01-01
Free, libre, and open source software (FLOSS) is software that is collaboratively developed. FLOSS provides end-users with the source code and the freedom to adapt or modify a piece of software to fit their needs (Deek & McHugh, 2008; Stallman, 2010). FLOSS has a 30 year history that dates to the open hacker community at the Massachusetts…
A Survey of Techniques for Security Architecture Analysis
2003-05-01
to be corrected immediately. 49 DSTO-TR-1438 A software phenomenon is the "user innovation network", examples of such networks being "free" and "open...source" software projects. These networks have innovation development, production, distribution and consumption all being performed by users/self...manufacturers. "User innovation networks can function entirely independently of manufacturers because (1) at least some users have sufficient incentive to
NASA Astrophysics Data System (ADS)
Pellegrin, F.; Jeram, B.; Haucke, J.; Feyrin, S.
2016-07-01
The paper describes the introduction of a new automatized build and test infrastructure, based on the open-source software Jenkins1, into the ESO Very Large Telescope control software to replace the preexisting in-house solution. A brief introduction to software quality practices is given, a description of the previous solution, the limitations of it and new upcoming requirements. Modifications required to adapt the new system are described, how these were implemented to current software and the results obtained. An overview on how the new system may be used in future projects is also presented.
Open Source Software Development
2011-01-01
Software, 2002, 149(1), 3-17. 3. DiBona , C., Cooper, D., and Stone, M. (Eds.), Open Sources 2.0, 2005, O’Reilly Media, Sebastopol, CA. Also see, C... DiBona , S. Ockman, and M. Stone (Eds.). Open Sources: Vocides from the Open Source Revolution, 1999. O’Reilly Media, Sebastopol, CA. 4. Ducheneaut, N
Magare, Steve; Monda, Jonathan; Kamau, Onesmus; Houston, Stuart; Fraser, Hamish; Powell, John; English, Mike; Paton, Chris
2018-01-01
Background The Kenyan government, working with international partners and local organizations, has developed an eHealth strategy, specified standards, and guidelines for electronic health record adoption in public hospitals and implemented two major health information technology projects: District Health Information Software Version 2, for collating national health care indicators and a rollout of the KenyaEMR and International Quality Care Health Management Information Systems, for managing 600 HIV clinics across the country. Following these projects, a modified version of the Open Medical Record System electronic health record was specified and developed to fulfill the clinical and administrative requirements of health care facilities operated by devolved counties in Kenya and to automate the process of collating health care indicators and entering them into the District Health Information Software Version 2 system. Objective We aimed to present a descriptive case study of the implementation of an open source electronic health record system in public health care facilities in Kenya. Methods We conducted a landscape review of existing literature concerning eHealth policies and electronic health record development in Kenya. Following initial discussions with the Ministry of Health, the World Health Organization, and implementing partners, we conducted a series of visits to implementing sites to conduct semistructured individual interviews and group discussions with stakeholders to produce a historical case study of the implementation. Results This case study describes how consultants based in Kenya, working with developers in India and project stakeholders, implemented the new system into several public hospitals in a county in rural Kenya. The implementation process included upgrading the hospital information technology infrastructure, training users, and attempting to garner administrative and clinical buy-in for adoption of the system. The initial deployment was ultimately scaled back due to a complex mix of sociotechnical and administrative issues. Learning from these early challenges, the system is now being redesigned and prepared for deployment in 6 new counties across Kenya. Conclusions Implementing electronic health record systems is a challenging process in high-income settings. In low-income settings, such as Kenya, open source software may offer some respite from the high costs of software licensing, but the familiar challenges of clinical and administration buy-in, the need to adequately train users, and the need for the provision of ongoing technical support are common across the North-South divide. Strategies such as creating local support teams, using local development resources, ensuring end user buy-in, and rolling out in smaller facilities before larger hospitals are being incorporated into the project. These are positive developments to help maintain momentum as the project continues. Further integration with existing open source communities could help ongoing development and implementations of the project. We hope this case study will provide some lessons and guidance for other challenging implementations of electronic health record systems as they continue across Africa. PMID:29669709
Towards Cross-Organizational Innovative Business Process Interoperability Services
NASA Astrophysics Data System (ADS)
Karacan, Ömer; Del Grosso, Enrico; Carrez, Cyril; Taglino, Francesco
This paper presents the vision and initial results of the COIN (FP7-IST-216256) European project for the development of open source Collaborative Business Process Interoperability (CBPip) in cross-organisational business collaboration environments following the Software-as-a-Service Utility (SaaS-U) paradigm.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Vatsavai, Raju; Burk, Thomas E; Lime, Steve
2012-01-01
The components making up an Open Source GIS are explained in this chapter. A map server (Sect. 30.1) can broadly be defined as a software platform for dynamically generating spatially referenced digital map products. The University of Minnesota MapServer (UMN Map Server) is one such system. Its basic features are visualization, overlay, and query. Section 30.2 names and explains many of the geospatial open source libraries, such as GDAL and OGR. The other libraries are FDO, JTS, GEOS, JCS, MetaCRS, and GPSBabel. The application examples include derived GIS-software and data format conversions. Quantum GIS, its origin and its applications explainedmore » in detail in Sect. 30.3. The features include a rich GUI, attribute tables, vector symbols, labeling, editing functions, projections, georeferencing, GPS support, analysis, and Web Map Server functionality. Future developments will address mobile applications, 3-D, and multithreading. The origins of PostgreSQL are outlined and PostGIS discussed in detail in Sect. 30.4. It extends PostgreSQL by implementing the Simple Feature standard. Section 30.5 details the most important open source licenses such as the GPL, the LGPL, the MIT License, and the BSD License, as well as the role of the Creative Commons.« less
Agile Methods for Open Source Safety-Critical Software
Enquobahrie, Andinet; Ibanez, Luis; Cheng, Patrick; Yaniv, Ziv; Cleary, Kevin; Kokoori, Shylaja; Muffih, Benjamin; Heidenreich, John
2011-01-01
The introduction of software technology in a life-dependent environment requires the development team to execute a process that ensures a high level of software reliability and correctness. Despite their popularity, agile methods are generally assumed to be inappropriate as a process family in these environments due to their lack of emphasis on documentation, traceability, and other formal techniques. Agile methods, notably Scrum, favor empirical process control, or small constant adjustments in a tight feedback loop. This paper challenges the assumption that agile methods are inappropriate for safety-critical software development. Agile methods are flexible enough to encourage the right amount of ceremony; therefore if safety-critical systems require greater emphasis on activities like formal specification and requirements management, then an agile process will include these as necessary activities. Furthermore, agile methods focus more on continuous process management and code-level quality than classic software engineering process models. We present our experiences on the image-guided surgical toolkit (IGSTK) project as a backdrop. IGSTK is an open source software project employing agile practices since 2004. We started with the assumption that a lighter process is better, focused on evolving code, and only adding process elements as the need arose. IGSTK has been adopted by teaching hospitals and research labs, and used for clinical trials. Agile methods have matured since the academic community suggested they are not suitable for safety-critical systems almost a decade ago, we present our experiences as a case study for renewing the discussion. PMID:21799545
Agile Methods for Open Source Safety-Critical Software.
Gary, Kevin; Enquobahrie, Andinet; Ibanez, Luis; Cheng, Patrick; Yaniv, Ziv; Cleary, Kevin; Kokoori, Shylaja; Muffih, Benjamin; Heidenreich, John
2011-08-01
The introduction of software technology in a life-dependent environment requires the development team to execute a process that ensures a high level of software reliability and correctness. Despite their popularity, agile methods are generally assumed to be inappropriate as a process family in these environments due to their lack of emphasis on documentation, traceability, and other formal techniques. Agile methods, notably Scrum, favor empirical process control, or small constant adjustments in a tight feedback loop. This paper challenges the assumption that agile methods are inappropriate for safety-critical software development. Agile methods are flexible enough to encourage the rightamount of ceremony; therefore if safety-critical systems require greater emphasis on activities like formal specification and requirements management, then an agile process will include these as necessary activities. Furthermore, agile methods focus more on continuous process management and code-level quality than classic software engineering process models. We present our experiences on the image-guided surgical toolkit (IGSTK) project as a backdrop. IGSTK is an open source software project employing agile practices since 2004. We started with the assumption that a lighter process is better, focused on evolving code, and only adding process elements as the need arose. IGSTK has been adopted by teaching hospitals and research labs, and used for clinical trials. Agile methods have matured since the academic community suggested they are not suitable for safety-critical systems almost a decade ago, we present our experiences as a case study for renewing the discussion.
NASA Technical Reports Server (NTRS)
Hart, Andrew F.; Verma, Rishi; Mattmann, Chris A.; Crichton, Daniel J.; Kelly, Sean; Kincaid, Heather; Hughes, Steven; Ramirez, Paul; Goodale, Cameron; Anton, Kristen;
2012-01-01
For the past decade, the NASA Jet Propulsion Laboratory, in collaboration with Dartmouth University has served as the center for informatics for the Early Detection Research Network (EDRN). The EDRN is a multi-institution research effort funded by the U.S. National Cancer Institute (NCI) and tasked with identifying and validating biomarkers for the early detection of cancer. As the distributed network has grown, increasingly formal processes have been developed for the acquisition, curation, storage, and dissemination of heterogeneous research information assets, and an informatics infrastructure has emerged. In this paper we discuss the evolution of EDRN informatics, its success as a mechanism for distributed information integration, and the potential sustainability and reuse benefits of emerging efforts to make the platform components themselves open source. We describe our experience transitioning a large closed-source software system to a community driven, open source project at the Apache Software Foundation, and point to lessons learned that will guide our present efforts to promote the reuse of the EDRN informatics infrastructure by a broader community.
Concierge: Personal Database Software for Managing Digital Research Resources
Sakai, Hiroyuki; Aoyama, Toshihiro; Yamaji, Kazutsuna; Usui, Shiro
2007-01-01
This article introduces a desktop application, named Concierge, for managing personal digital research resources. Using simple operations, it enables storage of various types of files and indexes them based on content descriptions. A key feature of the software is a high level of extensibility. By installing optional plug-ins, users can customize and extend the usability of the software based on their needs. In this paper, we also introduce a few optional plug-ins: literature management, electronic laboratory notebook, and XooNlps client plug-ins. XooNIps is a content management system developed to share digital research resources among neuroscience communities. It has been adopted as the standard database system in Japanese neuroinformatics projects. Concierge, therefore, offers comprehensive support from management of personal digital research resources to their sharing in open-access neuroinformatics databases such as XooNIps. This interaction between personal and open-access neuroinformatics databases is expected to enhance the dissemination of digital research resources. Concierge is developed as an open source project; Mac OS X and Windows XP versions have been released at the official site (http://concierge.sourceforge.jp). PMID:18974800
Kapur, Tina; Pieper, Steve; Fedorov, Andriy; Fillion-Robin, J-C; Halle, Michael; O'Donnell, Lauren; Lasso, Andras; Ungi, Tamas; Pinter, Csaba; Finet, Julien; Pujol, Sonia; Jagadeesan, Jayender; Tokuda, Junichi; Norton, Isaiah; Estepar, Raul San Jose; Gering, David; Aerts, Hugo J W L; Jakab, Marianna; Hata, Nobuhiko; Ibanez, Luiz; Blezek, Daniel; Miller, Jim; Aylward, Stephen; Grimson, W Eric L; Fichtinger, Gabor; Wells, William M; Lorensen, William E; Schroeder, Will; Kikinis, Ron
2016-10-01
The National Alliance for Medical Image Computing (NA-MIC) was launched in 2004 with the goal of investigating and developing an open source software infrastructure for the extraction of information and knowledge from medical images using computational methods. Several leading research and engineering groups participated in this effort that was funded by the US National Institutes of Health through a variety of infrastructure grants. This effort transformed 3D Slicer from an internal, Boston-based, academic research software application into a professionally maintained, robust, open source platform with an international leadership and developer and user communities. Critical improvements to the widely used underlying open source libraries and tools-VTK, ITK, CMake, CDash, DCMTK-were an additional consequence of this effort. This project has contributed to close to a thousand peer-reviewed publications and a growing portfolio of US and international funded efforts expanding the use of these tools in new medical computing applications every year. In this editorial, we discuss what we believe are gaps in the way medical image computing is pursued today; how a well-executed research platform can enable discovery, innovation and reproducible science ("Open Science"); and how our quest to build such a software platform has evolved into a productive and rewarding social engineering exercise in building an open-access community with a shared vision. Copyright © 2016 Elsevier B.V. All rights reserved.
Preparing a scientific manuscript in Linux: Today's possibilities and limitations
2011-01-01
Background Increasing number of scientists are enthusiastic about using free, open source software for their research purposes. Authors' specific goal was to examine whether a Linux-based operating system with open source software packages would allow to prepare a submission-ready scientific manuscript without the need to use the proprietary software. Findings Preparation and editing of scientific manuscripts is possible using Linux and open source software. This letter to the editor describes key steps for preparation of a publication-ready scientific manuscript in a Linux-based operating system, as well as discusses the necessary software components. This manuscript was created using Linux and open source programs for Linux. PMID:22018246
Simplified Deployment of Health Informatics Applications by Providing Docker Images.
Löbe, Matthias; Ganslandt, Thomas; Lotzmann, Lydia; Mate, Sebastian; Christoph, Jan; Baum, Benjamin; Sariyar, Murat; Wu, Jie; Stäubert, Sebastian
2016-01-01
Due to the specific needs of biomedical researchers, in-house development of software is widespread. A common problem is to maintain and enhance software after the funded project has ended. Even if many tools are made open source, only a couple of projects manage to attract a user basis large enough to ensure sustainability. Reasons for this include complex installation and configuration of biomedical software as well as an ambiguous terminology of the features provided; all of which make evaluation of software laborious. Docker is a para-virtualization technology based on Linux containers that eases deployment of applications and facilitates evaluation. We investigated a suite of software developments funded by a large umbrella organization for networked medical research within the last 10 years and created Docker containers for a number of applications to support utilization and dissemination.
Open source software integrated into data services of Japanese planetary explorations
NASA Astrophysics Data System (ADS)
Yamamoto, Y.; Ishihara, Y.; Otake, H.; Imai, K.; Masuda, K.
2015-12-01
Scientific data obtained by Japanese scientific satellites and lunar and planetary explorations are archived in DARTS (Data ARchives and Transmission System). DARTS provides the data with a simple method such as HTTP directory listing for long-term preservation while DARTS tries to provide rich web applications for ease of access with modern web technologies based on open source software. This presentation showcases availability of open source software through our services. KADIAS is a web-based application to search, analyze, and obtain scientific data measured by SELENE(Kaguya), a Japanese lunar orbiter. KADIAS uses OpenLayers to display maps distributed from Web Map Service (WMS). As a WMS server, open source software MapServer is adopted. KAGUYA 3D GIS (KAGUYA 3D Moon NAVI) provides a virtual globe for the SELENE's data. The main purpose of this application is public outreach. NASA World Wind Java SDK is used to develop. C3 (Cross-Cutting Comparisons) is a tool to compare data from various observations and simulations. It uses Highcharts to draw graphs on web browsers. Flow is a tool to simulate a Field-Of-View of an instrument onboard a spacecraft. This tool itself is open source software developed by JAXA/ISAS, and the license is BSD 3-Caluse License. SPICE Toolkit is essential to compile FLOW. SPICE Toolkit is also open source software developed by NASA/JPL, and the website distributes many spacecrafts' data. Nowadays, open source software is an indispensable tool to integrate DARTS services.
Crosstalk: The Journal of Defense Software Engineering. Volume 18, Number 1
2005-01-01
d o t . o r g / a s k slashdot/04/04/12/1757244.shtml>. 5. Dibona , C., et al. Open Sources: Voices From the Open Source Rev- olution. 1st ed. O’Reilly...Volume 18, Number 1, January 2005 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR( S ) 5d. PROJECT NUMBER 5e. TASK NUMBER...5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME( S ) AND ADDRESS(ES) OO-ALC/MASE,6022 Fir Ave,Hill AFB,UT,84056-5820 8. PERFORMING
Astronomical activities with disabled people
NASA Astrophysics Data System (ADS)
Ortiz-Gil, Amelia; Blay, Pere; Gallego Calvente, A. Teresa; Gómez, Miquel; Guirado, José Carlos; Lanzara, Mariana; Martínez Núñez, Silvia
2011-06-01
As we celebrate the International Year of Astronomy, we have been working on four different projects with the goal of making astronomy more accessible to people with special needs. These projects are 1) an astronomy book and web site for blind people, 2) an open source software for people with motor disabilities, 3) a planetarium program for the visually impaired and 4) educational material for intellectually disabled people.
Final Report for Project FG02-05ER25685
DOE Office of Scientific and Technical Information (OSTI.GOV)
Xiaosong Ma
2009-05-07
In this report, the PI summarizes the results and achievements obtained in the sponsored project. Overall, the project has been very successful and produced both research results in massive data-intensive computing and data management for large scale supercomputers today, and in open-source software products. During the project period, 14 conference/journal publications, as well as two PhD students, have been produced due to exclusive or shared support from this award. In addition, the PI has recently been granted tenure from NC State University.
PRay - A graphical user interface for interactive visualization and modification of rayinvr models
NASA Astrophysics Data System (ADS)
Fromm, T.
2016-01-01
PRay is a graphical user interface for interactive displaying and editing of velocity models for seismic refraction. It is optimized for editing rayinvr models but can also be used as a dynamic viewer for ray tracing results from other software. The main features are the graphical editing of nodes and fast adjusting of the display (stations and phases). It can be extended by user-defined shell scripts and links to phase picking software. PRay is open source software written in the scripting language Perl, runs on Unix-like operating systems including Mac OS X and provides a version controlled source code repository for community development (https://sourceforge.net/projects/pray-plot-rayinvr/).
Open Source, Openness, and Higher Education
ERIC Educational Resources Information Center
Wiley, David
2006-01-01
In this article David Wiley provides an overview of how the general expansion of open source software has affected the world of education in particular. In doing so, Wiley not only addresses the development of open source software applications for teachers and administrators, he also discusses how the fundamental philosophy of the open source…
Reflections on the role of open source in health information system interoperability.
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.
NASA Astrophysics Data System (ADS)
Abdullah, Johari Yap; Omar, Marzuki; Pritam, Helmi Mohd Hadi; Husein, Adam; Rajion, Zainul Ahmad
2016-12-01
3D printing of mandible is important for pre-operative planning, diagnostic purposes, as well as for education and training. Currently, the processing of CT data is routinely performed with commercial software which increases the cost of operation and patient management for a small clinical setting. Usage of open-source software as an alternative to commercial software for 3D reconstruction of the mandible from CT data is scarce. The aim of this study is to compare two methods of 3D reconstruction of the mandible using commercial Materialise Mimics software and open-source Medical Imaging Interaction Toolkit (MITK) software. Head CT images with a slice thickness of 1 mm and a matrix of 512x512 pixels each were retrieved from the server located at the Radiology Department of Hospital Universiti Sains Malaysia. The CT data were analysed and the 3D models of mandible were reconstructed using both commercial Materialise Mimics and open-source MITK software. Both virtual 3D models were saved in STL format and exported to 3matic and MeshLab software for morphometric and image analyses. Both models were compared using Wilcoxon Signed Rank Test and Hausdorff Distance. No significant differences were obtained between the 3D models of the mandible produced using Mimics and MITK software. The 3D model of the mandible produced using MITK open-source software is comparable to the commercial MIMICS software. Therefore, open-source software could be used in clinical setting for pre-operative planning to minimise the operational cost.
The 2017 Bioinformatics Open Source Conference (BOSC)
Harris, Nomi L.; Cock, Peter J.A.; Chapman, Brad; Fields, Christopher J.; Hokamp, Karsten; Lapp, Hilmar; Munoz-Torres, Monica; Tzovaras, Bastian Greshake; Wiencko, Heather
2017-01-01
The Bioinformatics Open Source Conference (BOSC) is a meeting organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of Open Source software development and Open Science within the biological research community. The 18th annual BOSC ( http://www.open-bio.org/wiki/BOSC_2017) took place in Prague, Czech Republic in July 2017. The conference brought together nearly 250 bioinformatics researchers, developers and users of open source software to interact and share ideas about standards, bioinformatics software development, open and reproducible science, and this year’s theme, open data. As in previous years, the conference was preceded by a two-day collaborative coding event open to the bioinformatics community, called the OBF Codefest. PMID:29118973
The 2017 Bioinformatics Open Source Conference (BOSC).
Harris, Nomi L; Cock, Peter J A; Chapman, Brad; Fields, Christopher J; Hokamp, Karsten; Lapp, Hilmar; Munoz-Torres, Monica; Tzovaras, Bastian Greshake; Wiencko, Heather
2017-01-01
The Bioinformatics Open Source Conference (BOSC) is a meeting organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of Open Source software development and Open Science within the biological research community. The 18th annual BOSC ( http://www.open-bio.org/wiki/BOSC_2017) took place in Prague, Czech Republic in July 2017. The conference brought together nearly 250 bioinformatics researchers, developers and users of open source software to interact and share ideas about standards, bioinformatics software development, open and reproducible science, and this year's theme, open data. As in previous years, the conference was preceded by a two-day collaborative coding event open to the bioinformatics community, called the OBF Codefest.
Network models of biology, whether curated or derived from large-scale data analysis, are critical tools in the understanding of cancer mechanisms and in the design and personalization of therapies. The NDEx Project (Network Data Exchange) will create, deploy, and maintain an open-source, web-based software platform and public website to enable scientists, organizations, and software applications to share, store, manipulate, and publish biological networks.
Certification of COTS Software in NASA Human Rated Flight Systems
NASA Technical Reports Server (NTRS)
Goforth, Andre
2012-01-01
Adoption of commercial off-the-shelf (COTS) products in safety critical systems has been seen as a promising acquisition strategy to improve mission affordability and, yet, has come with significant barriers and challenges. Attempts to integrate COTS software components into NASA human rated flight systems have been, for the most part, complicated by verification and validation (V&V) requirements necessary for flight certification per NASA s own standards. For software that is from COTS sources, and, in general from 3rd party sources, either commercial, government, modified or open source, the expectation is that it meets the same certification criteria as those used for in-house and that it does so as if it were built in-house. The latter is a critical and hidden issue. This paper examines the longstanding barriers and challenges in the use of 3rd party software in safety critical systems and cover recent efforts to use COTS software in NASA s Multi-Purpose Crew Vehicle (MPCV) project. It identifies some core artifacts that without them, the use of COTS and 3rd party software is, for all practical purposes, a nonstarter for affordable and timely insertion into flight critical systems. The paper covers the first use in a flight critical system by NASA of COTS software that has prior FAA certification heritage, which was shown to meet the RTCA-DO-178B standard, and how this certification may, in some cases, be leveraged to allow the use of analysis in lieu of testing. Finally, the paper proposes the establishment of an open source forum for development of safety critical 3rd party software.
SWMM5 Application Programming Interface and PySWMM: A ...
In support of the OpenWaterAnalytics open source initiative, the PySWMM project encompasses the development of a Python interfacing wrapper to SWMM5 with parallel ongoing development of the USEPA Stormwater Management Model (SWMM5) application programming interface (API). ... The purpose of this work is to increase the utility of the SWMM dll by creating a Toolkit API for accessing its functionality. The utility of the Toolkit is further enhanced with a wrapper to allow access from the Python scripting language. This work is being prosecuted as part of an Open Source development strategy and is being performed by volunteer software developers.
QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials.
Giannozzi, Paolo; Baroni, Stefano; Bonini, Nicola; Calandra, Matteo; Car, Roberto; Cavazzoni, Carlo; Ceresoli, Davide; Chiarotti, Guido L; Cococcioni, Matteo; Dabo, Ismaila; Dal Corso, Andrea; de Gironcoli, Stefano; Fabris, Stefano; Fratesi, Guido; Gebauer, Ralph; Gerstmann, Uwe; Gougoussis, Christos; Kokalj, Anton; Lazzeri, Michele; Martin-Samos, Layla; Marzari, Nicola; Mauri, Francesco; Mazzarello, Riccardo; Paolini, Stefano; Pasquarello, Alfredo; Paulatto, Lorenzo; Sbraccia, Carlo; Scandolo, Sandro; Sclauzero, Gabriele; Seitsonen, Ari P; Smogunov, Alexander; Umari, Paolo; Wentzcovitch, Renata M
2009-09-30
QUANTUM ESPRESSO is an integrated suite of computer codes for electronic-structure calculations and materials modeling, based on density-functional theory, plane waves, and pseudopotentials (norm-conserving, ultrasoft, and projector-augmented wave). The acronym ESPRESSO stands for opEn Source Package for Research in Electronic Structure, Simulation, and Optimization. It is freely available to researchers around the world under the terms of the GNU General Public License. QUANTUM ESPRESSO builds upon newly-restructured electronic-structure codes that have been developed and tested by some of the original authors of novel electronic-structure algorithms and applied in the last twenty years by some of the leading materials modeling groups worldwide. Innovation and efficiency are still its main focus, with special attention paid to massively parallel architectures, and a great effort being devoted to user friendliness. QUANTUM ESPRESSO is evolving towards a distribution of independent and interoperable codes in the spirit of an open-source project, where researchers active in the field of electronic-structure calculations are encouraged to participate in the project by contributing their own codes or by implementing their own ideas into existing codes.
Karopka, T; Schmuhl, H; Marcelo, A; Molin, J Dal; Wright, G
2011-01-01
: To analyze the contribution of Free/Libre Open Source Software in health care (FLOSS-HC) and to give perspectives for future developments. The paper summarizes FLOSS-related trends in health care as anticipated by members of the IMIA Open Source Working Group. Data were obtained through literature review and personal experience and observations of the authors in the last two decades. A status quo is given by a frequency analysis of the database of Medfloss.org, one of the world's largest platforms dedicated to FLOSS-HC. The authors discuss current problems in the field of health care and finally give a prospective roadmap, a projection of the potential influences of FLOSS in health care. FLOSS-HC already exists for more than 2 decades. Several projects have shown that FLOSS may produce highly competitive alternatives to proprietary solutions that are at least equivalent in usability and have a better total cost of ownership ratio. The Medfloss.org database currently lists 221 projects of diverse application types. FLOSS principles hold a great potential for addressing several of the most critical problems in health care IT. The authors argue that an ecosystem perspective is relevant and that FLOSS principles are best suited to create health IT systems that are able to evolve over time as medical knowledge, technologies, insights, workflows etc. continuously change. All these factors that inherently influence the development of health IT systems are changing at an ever growing pace. Traditional models of software engineering are not able to follow these changes and provide up-to-date systems for an acceptable cost/value ratio. To allow FLOSS to positively influence Health IT in the future a "FLOSS-friendly" environment has to be provided. Policy makers should resolve uncertainties in the legal framework that disfavor FLOSS. Certification procedures should be specified in a way that they do not raise additional barriers for FLOSS.
Looking toward the Future: A Case Study of Open Source Software in the Humanities
ERIC Educational Resources Information Center
Quamen, Harvey
2006-01-01
In this article Harvey Quamen examines how the philosophy of open source software might be of particular benefit to humanities scholars in the near future--particularly for academic journals with limited financial resources. To this end he provides a case study in which he describes his use of open source technology (MySQL database software and…
Integrating open-source software applications to build molecular dynamics systems.
Allen, Bruce M; Predecki, Paul K; Kumosa, Maciej
2014-04-05
Three open-source applications, NanoEngineer-1, packmol, and mis2lmp are integrated using an open-source file format to quickly create molecular dynamics (MD) cells for simulation. The three software applications collectively make up the open-source software (OSS) suite known as MD Studio (MDS). The software is validated through software engineering practices and is verified through simulation of the diglycidyl ether of bisphenol-a and isophorone diamine (DGEBA/IPD) system. Multiple simulations are run using the MDS software to create MD cells, and the data generated are used to calculate density, bulk modulus, and glass transition temperature of the DGEBA/IPD system. Simulation results compare well with published experimental and numerical results. The MDS software prototype confirms that OSS applications can be analyzed against real-world research requirements and integrated to create a new capability. Copyright © 2014 Wiley Periodicals, Inc.
General Mission Analysis Tool (GMAT)
NASA Technical Reports Server (NTRS)
Hughes, Steven P.
2007-01-01
The General Mission Analysis Tool (GMAT) is a space trajectory optimization and mission analysis system developed by NASA and private industry in the spirit of the NASA Mission. GMAT contains new technology and is a testbed for future technology development. The goal of the GMAT project is to develop new space trajectory optimization and mission design technology by working inclusively with ordinary people, universities, businesses, and other government organizations, and to share that technology in an open and unhindered way. GMAT is a free and open source software system licensed under the NASA Open Source Agreement: free for anyone to use in development of new mission concepts or to improve current missions, freely available in source code form for enhancement or further technology development.
Clawpack: Building an open source ecosystem for solving hyperbolic PDEs
Iverson, Richard M.; Mandli, K.T.; Ahmadia, Aron J.; Berger, M.J.; Calhoun, Donna; George, David L.; Hadjimichael, Y.; Ketcheson, David I.; Lemoine, Grady L.; LeVeque, Randall J.
2016-01-01
Clawpack is a software package designed to solve nonlinear hyperbolic partial differential equations using high-resolution finite volume methods based on Riemann solvers and limiters. The package includes a number of variants aimed at different applications and user communities. Clawpack has been actively developed as an open source project for over 20 years. The latest major release, Clawpack 5, introduces a number of new features and changes to the code base and a new development model based on GitHub and Git submodules. This article provides a summary of the most significant changes, the rationale behind some of these changes, and a description of our current development model. Clawpack: building an open source ecosystem for solving hyperbolic PDEs.
Data for Environmental Modeling (D4EM): Background and Applications of Data Automation
The Data for Environmental Modeling (D4EM) project demonstrates the development of a comprehensive set of open source software tools that overcome obstacles to accessing data needed by automating the process of populating model input data sets with environmental data available fr...
Integrating "GeoGebra" into IWB-Equipped Teaching Environments: Preliminary Results
ERIC Educational Resources Information Center
Lavicza, Zsolt; Papp-Varga, Zsuzsanna
2010-01-01
The aims of the project described in this paper are threefold. Firstly, the authors aim to examine how "GeoGebra", an open-source dynamic mathematics software application, can be used successfully for mathematics teaching in interactive whiteboard (IWB)-equipped teaching environments. Secondly, they intend to uncover how professional…
Open Source Platform Application to Groundwater Characterization and Monitoring
NASA Astrophysics Data System (ADS)
Ntarlagiannis, D.; Day-Lewis, F. D.; Falzone, S.; Lane, J. W., Jr.; Slater, L. D.; Robinson, J.; Hammett, S.
2017-12-01
Groundwater characterization and monitoring commonly rely on the use of multiple point sensors and human labor. Due to the number of sensors, labor, and other resources needed, establishing and maintaining an adequate groundwater monitoring network can be both labor intensive and expensive. To improve and optimize the monitoring network design, open source software and hardware components could potentially provide the platform to control robust and efficient sensors thereby reducing costs and labor. This work presents early attempts to create a groundwater monitoring system incorporating open-source software and hardware that will control the remote operation of multiple sensors along with data management and file transfer functions. The system is built around a Raspberry PI 3, that controls multiple sensors in order to perform on-demand, continuous or `smart decision' measurements while providing flexibility to incorporate additional sensors to meet the demands of different projects. The current objective of our technology is to monitor exchange of ionic tracers between mobile and immobile porosity using a combination of fluid and bulk electrical-conductivity measurements. To meet this objective, our configuration uses four sensors (pH, specific conductance, pressure, temperature) that can monitor the fluid electrical properties of interest and guide the bulk electrical measurement. This system highlights the potential of using open source software and hardware components for earth sciences applications. The versatility of the system makes it ideal for use in a large number of applications, and the low cost allows for high resolution (spatially and temporally) monitoring.
Incorporating an ERP Project into Undergraduate Instruction
Nyhus, Erika; Curtis, Nancy
2016-01-01
Electroencephalogram (EEG) is a relatively non-invasive, simple technique, and recent advances in open source analysis tools make it feasible to implement EEG as a component in undergraduate neuroscience curriculum. We have successfully led students to design novel experiments, record EEG data, and analyze event-related potentials (ERPs) during a one-semester laboratory course for undergraduates in cognitive neuroscience. First, students learned how to set up an EEG recording and completed an analysis tutorial. Students then learned how to set up a novel EEG experiment; briefly, they formed groups of four and designed an EEG experiment on a topic of their choice. Over the course of two weeks students collected behavioral and EEG data. Each group then analyzed their behavioral and ERP data and presented their results both as a presentation and as a final paper. Upon completion of the group project students reported a deeper understanding of cognitive neuroscience methods and a greater appreciation for the strengths and weaknesses of the EEG technique. Although recent advances in open source software made this project possible, it also required access to EEG recording equipment and proprietary software. Future efforts should be directed at making publicly available datasets to learn ERP analysis techniques and making publicly available EEG recording and analysis software to increase the accessibility of hands-on research experience in undergraduate cognitive neuroscience laboratory courses. PMID:27385925
Investigating interoperability of the LSST data management software stack with Astropy
NASA Astrophysics Data System (ADS)
Jenness, Tim; Bosch, James; Owen, Russell; Parejko, John; Sick, Jonathan; Swinbank, John; de Val-Borro, Miguel; Dubois-Felsmann, Gregory; Lim, K.-T.; Lupton, Robert H.; Schellart, Pim; Krughoff, K. S.; Tollerud, Erik J.
2016-07-01
The Large Synoptic Survey Telescope (LSST) will be an 8.4m optical survey telescope sited in Chile and capable of imaging the entire sky twice a week. The data rate of approximately 15TB per night and the requirements to both issue alerts on transient sources within 60 seconds of observing and create annual data releases means that automated data management systems and data processing pipelines are a key deliverable of the LSST construction project. The LSST data management software has been in development since 2004 and is based on a C++ core with a Python control layer. The software consists of nearly a quarter of a million lines of code covering the system from fundamental WCS and table libraries to pipeline environments and distributed process execution. The Astropy project began in 2011 as an attempt to bring together disparate open source Python projects and build a core standard infrastructure that can be used and built upon by the astronomy community. This project has been phenomenally successful in the years since it has begun and has grown to be the de facto standard for Python software in astronomy. Astropy brings with it considerable expectations from the community on how astronomy Python software should be developed and it is clear that by the time LSST is fully operational in the 2020s many of the prospective users of the LSST software stack will expect it to be fully interoperable with Astropy. In this paper we describe the overlap between the LSST science pipeline software and Astropy software and investigate areas where the LSST software provides new functionality. We also discuss the possibilities of re-engineering the LSST science pipeline software to build upon Astropy, including the option of contributing affliated packages.
National Geothermal Data System: Open Access to Geoscience Data, Maps, and Documents
NASA Astrophysics Data System (ADS)
Caudill, C. M.; Richard, S. M.; Musil, L.; Sonnenschein, A.; Good, J.
2014-12-01
The U.S. National Geothermal Data System (NGDS) provides free open access to millions of geoscience data records, publications, maps, and reports via distributed web services to propel geothermal research, development, and production. NGDS is built on the US Geoscience Information Network (USGIN) data integration framework, which is a joint undertaking of the USGS and the Association of American State Geologists (AASG), and is compliant with international standards and protocols. NGDS currently serves geoscience information from 60+ data providers in all 50 states. Free and open source software is used in this federated system where data owners maintain control of their data. This interactive online system makes geoscience data easily discoverable, accessible, and interoperable at no cost to users. The dynamic project site http://geothermaldata.org serves as the information source and gateway to the system, allowing data and applications discovery and availability of the system's data feed. It also provides access to NGDS specifications and the free and open source code base (on GitHub), a map-centric and library style search interface, other software applications utilizing NGDS services, NGDS tutorials (via YouTube and USGIN site), and user-created tools and scripts. The user-friendly map-centric web-based application has been created to support finding, visualizing, mapping, and acquisition of data based on topic, location, time, provider, or key words. Geographic datasets visualized through the map interface also allow users to inspect the details of individual GIS data points (e.g. wells, geologic units, etc.). In addition, the interface provides the information necessary for users to access the GIS data from third party software applications such as GoogleEarth, UDig, and ArcGIS. A redistributable, free and open source software package called GINstack (USGIN software stack) was also created to give data providers a simple way to release data using interoperable and shareable standards, upload data and documents, and expose those data as a node in the NGDS or any larger data system through a CSW endpoint. The easy-to-use interface is supported by back-end software including Postgres, GeoServer, and custom CKAN extensions among others.
Mercury: Reusable software application for Metadata Management, Data Discovery and Access
NASA Astrophysics Data System (ADS)
Devarakonda, Ranjeet; Palanisamy, Giri; Green, James; Wilson, Bruce E.
2009-12-01
Mercury is a federated metadata harvesting, data discovery and access tool based on both open source packages and custom developed software. It was originally developed for NASA, and the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury is itself a reusable toolset for metadata, with current use in 12 different projects. Mercury also supports the reuse of metadata by enabling searching across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury provides a single portal to information contained in distributed data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. One of the major goals of the recent redesign of Mercury was to improve the software reusability across the projects which currently fund the continuing development of Mercury. These projects span a range of land, atmosphere, and ocean ecological communities and have a number of common needs for metadata searches, but they also have a number of needs specific to one or a few projects To balance these common and project-specific needs, Mercury’s architecture includes three major reusable components; a harvester engine, an indexing system and a user interface component. The harvester engine is responsible for harvesting metadata records from various distributed servers around the USA and around the world. The harvester software was packaged in such a way that all the Mercury projects will use the same harvester scripts but each project will be driven by a set of configuration files. The harvested files are then passed to the Indexing system, where each of the fields in these structured metadata records are indexed properly, so that the query engine can perform simple, keyword, spatial and temporal searches across these metadata sources. The search user interface software has two API categories; a common core API which is used by all the Mercury user interfaces for querying the index and a customized API for project specific user interfaces. For our work in producing a reusable, portable, robust, feature-rich application, Mercury received a 2008 NASA Earth Science Data Systems Software Reuse Working Group Peer-Recognition Software Reuse Award. The new Mercury system is based on a Service Oriented Architecture and effectively reuses components for various services such as Thesaurus Service, Gazetteer Web Service and UDDI Directory Services. The software also provides various search services including: RSS, Geo-RSS, OpenSearch, Web Services and Portlets, integrated shopping cart to order datasets from various data centers (ORNL DAAC, NSIDC) and integrated visualization tools. Other features include: Filtering and dynamic sorting of search results, book-markable search results, save, retrieve, and modify search criteria.
Open source molecular modeling.
Pirhadi, Somayeh; Sunseri, Jocelyn; Koes, David Ryan
2016-09-01
The success of molecular modeling and computational chemistry efforts are, by definition, dependent on quality software applications. Open source software development provides many advantages to users of modeling applications, not the least of which is that the software is free and completely extendable. In this review we categorize, enumerate, and describe available open source software packages for molecular modeling and computational chemistry. An updated online version of this catalog can be found at https://opensourcemolecularmodeling.github.io. Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved.
The 2016 Bioinformatics Open Source Conference (BOSC).
Harris, Nomi L; Cock, Peter J A; Chapman, Brad; Fields, Christopher J; Hokamp, Karsten; Lapp, Hilmar; Muñoz-Torres, Monica; Wiencko, Heather
2016-01-01
Message from the ISCB: The Bioinformatics Open Source Conference (BOSC) is a yearly meeting organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of Open Source software development and Open Science within the biological research community. BOSC has been run since 2000 as a two-day Special Interest Group (SIG) before the annual ISMB conference. The 17th annual BOSC ( http://www.open-bio.org/wiki/BOSC_2016) took place in Orlando, Florida in July 2016. As in previous years, the conference was preceded by a two-day collaborative coding event open to the bioinformatics community. The conference brought together nearly 100 bioinformatics researchers, developers and users of open source software to interact and share ideas about standards, bioinformatics software development, and open and reproducible science.
The Ensembl genome database project.
Hubbard, T; Barker, D; Birney, E; Cameron, G; Chen, Y; Clark, L; Cox, T; Cuff, J; Curwen, V; Down, T; Durbin, R; Eyras, E; Gilbert, J; Hammond, M; Huminiecki, L; Kasprzyk, A; Lehvaslaiho, H; Lijnzaad, P; Melsopp, C; Mongin, E; Pettett, R; Pocock, M; Potter, S; Rust, A; Schmidt, E; Searle, S; Slater, G; Smith, J; Spooner, W; Stabenau, A; Stalker, J; Stupka, E; Ureta-Vidal, A; Vastrik, I; Clamp, M
2002-01-01
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organise biology around the sequences of large genomes. It is a comprehensive source of stable automatic annotation of the human genome sequence, with confirmed gene predictions that have been integrated with external data sources, and is available as either an interactive web site or as flat files. It is also an open source software engineering project to develop a portable system able to handle very large genomes and associated requirements from sequence analysis to data storage and visualisation. The Ensembl site is one of the leading sources of human genome sequence annotation and provided much of the analysis for publication by the international human genome project of the draft genome. The Ensembl system is being installed around the world in both companies and academic sites on machines ranging from supercomputers to laptops.
NASA Astrophysics Data System (ADS)
Triantafyllou, Antoine; Bastin, Christophe; Watlet, Arnaud
2016-04-01
GIS software suites are today's essential tools to gather and visualise geological data, to apply spatial and temporal analysis and in fine, to create and share interactive maps for further geosciences' investigations. For these purposes, we developed GeolOkit: an open-source, freeware and lightweight software, written in Python, a high-level, cross-platform programming language. GeolOkit software is accessible through a graphical user interface, designed to run in parallel with Google Earth. It is a super user-friendly toolbox that allows 'geo-users' to import their raw data (e.g. GPS, sample locations, structural data, field pictures, maps), to use fast data analysis tools and to plot these one into Google Earth environment using KML code. This workflow requires no need of any third party software, except Google Earth itself. GeolOkit comes with large number of geosciences' labels, symbols, colours and placemarks and may process : (i) multi-points data, (ii) contours via several interpolations methods, (iii) discrete planar and linear structural data in 2D or 3D supporting large range of structures input format, (iv) clustered stereonets and rose diagram, (v) drawn cross-sections as vertical sections, (vi) georeferenced maps and vectors, (vii) field pictures using either geo-tracking metadata from a camera built-in GPS module, or the same-day track of an external GPS. We are looking for you to discover all the functionalities of GeolOkit software. As this project is under development, we are definitely looking to discussions regarding your proper needs, your ideas and contributions to GeolOkit project.
Free and open source software for the manipulation of digital images.
Solomon, Robert W
2009-06-01
Free and open source software is a type of software that is nearly as powerful as commercial software but is freely downloadable. This software can do almost everything that the expensive programs can. GIMP (gnu image manipulation program) is the free program that is comparable to Photoshop, and versions are available for Windows, Macintosh, and Linux platforms. This article briefly describes how GIMP can be installed and used to manipulate radiology images. It is no longer necessary to budget large amounts of money for high-quality software to achieve the goals of image processing and document creation because free and open source software is available for the user to download at will.
The HEP Software and Computing Knowledge Base
NASA Astrophysics Data System (ADS)
Wenaus, T.
2017-10-01
HEP software today is a rich and diverse domain in itself and exists within the mushrooming world of open source software. As HEP software developers and users we can be more productive and effective if our work and our choices are informed by a good knowledge of what others in our community have created or found useful. The HEP Software and Computing Knowledge Base, hepsoftware.org, was created to facilitate this by serving as a collection point and information exchange on software projects and products, services, training, computing facilities, and relating them to the projects, experiments, organizations and science domains that offer them or use them. It was created as a contribution to the HEP Software Foundation, for which a HEP S&C knowledge base was a much requested early deliverable. This contribution will motivate and describe the system, what it offers, its content and contributions both existing and needed, and its implementation (node.js based web service and javascript client app) which has emphasized ease of use for both users and contributors.
GABBs: Cyberinfrastructure for Self-Service Geospatial Data Exploration, Computation, and Sharing
NASA Astrophysics Data System (ADS)
Song, C. X.; Zhao, L.; Biehl, L. L.; Merwade, V.; Villoria, N.
2016-12-01
Geospatial data are present everywhere today with the proliferation of location-aware computing devices. This is especially true in the scientific community where large amounts of data are driving research and education activities in many domains. Collaboration over geospatial data, for example, in modeling, data analysis and visualization, must still overcome the barriers of specialized software and expertise among other challenges. In addressing these needs, the Geospatial data Analysis Building Blocks (GABBs) project aims at building geospatial modeling, data analysis and visualization capabilities in an open source web platform, HUBzero. Funded by NSF's Data Infrastructure Building Blocks initiative, GABBs is creating a geospatial data architecture that integrates spatial data management, mapping and visualization, and interfaces in the HUBzero platform for scientific collaborations. The geo-rendering enabled Rappture toolkit, a generic Python mapping library, geospatial data exploration and publication tools, and an integrated online geospatial data management solution are among the software building blocks from the project. The GABBS software will be available through Amazon's AWS Marketplace VM images and open source. Hosting services are also available to the user community. The outcome of the project will enable researchers and educators to self-manage their scientific data, rapidly create GIS-enable tools, share geospatial data and tools on the web, and build dynamic workflows connecting data and tools, all without requiring significant software development skills, GIS expertise or IT administrative privileges. This presentation will describe the GABBs architecture, toolkits and libraries, and showcase the scientific use cases that utilize GABBs capabilities, as well as the challenges and solutions for GABBs to interoperate with other cyberinfrastructure platforms.
Weather forecasting with open source software
NASA Astrophysics Data System (ADS)
Rautenhaus, Marc; Dörnbrack, Andreas
2013-04-01
To forecast the weather situation during aircraft-based atmospheric field campaigns, we employ a tool chain of existing and self-developed open source software tools and open standards. Of particular value are the Python programming language with its extension libraries NumPy, SciPy, PyQt4, Matplotlib and the basemap toolkit, the NetCDF standard with the Climate and Forecast (CF) Metadata conventions, and the Open Geospatial Consortium Web Map Service standard. These open source libraries and open standards helped to implement the "Mission Support System", a Web Map Service based tool to support weather forecasting and flight planning during field campaigns. The tool has been implemented in Python and has also been released as open source (Rautenhaus et al., Geosci. Model Dev., 5, 55-71, 2012). In this presentation we discuss the usage of free and open source software for weather forecasting in the context of research flight planning, and highlight how the field campaign work benefits from using open source tools and open standards.
Muinga, Naomi; Magare, Steve; Monda, Jonathan; Kamau, Onesmus; Houston, Stuart; Fraser, Hamish; Powell, John; English, Mike; Paton, Chris
2018-04-18
The Kenyan government, working with international partners and local organizations, has developed an eHealth strategy, specified standards, and guidelines for electronic health record adoption in public hospitals and implemented two major health information technology projects: District Health Information Software Version 2, for collating national health care indicators and a rollout of the KenyaEMR and International Quality Care Health Management Information Systems, for managing 600 HIV clinics across the country. Following these projects, a modified version of the Open Medical Record System electronic health record was specified and developed to fulfill the clinical and administrative requirements of health care facilities operated by devolved counties in Kenya and to automate the process of collating health care indicators and entering them into the District Health Information Software Version 2 system. We aimed to present a descriptive case study of the implementation of an open source electronic health record system in public health care facilities in Kenya. We conducted a landscape review of existing literature concerning eHealth policies and electronic health record development in Kenya. Following initial discussions with the Ministry of Health, the World Health Organization, and implementing partners, we conducted a series of visits to implementing sites to conduct semistructured individual interviews and group discussions with stakeholders to produce a historical case study of the implementation. This case study describes how consultants based in Kenya, working with developers in India and project stakeholders, implemented the new system into several public hospitals in a county in rural Kenya. The implementation process included upgrading the hospital information technology infrastructure, training users, and attempting to garner administrative and clinical buy-in for adoption of the system. The initial deployment was ultimately scaled back due to a complex mix of sociotechnical and administrative issues. Learning from these early challenges, the system is now being redesigned and prepared for deployment in 6 new counties across Kenya. Implementing electronic health record systems is a challenging process in high-income settings. In low-income settings, such as Kenya, open source software may offer some respite from the high costs of software licensing, but the familiar challenges of clinical and administration buy-in, the need to adequately train users, and the need for the provision of ongoing technical support are common across the North-South divide. Strategies such as creating local support teams, using local development resources, ensuring end user buy-in, and rolling out in smaller facilities before larger hospitals are being incorporated into the project. These are positive developments to help maintain momentum as the project continues. Further integration with existing open source communities could help ongoing development and implementations of the project. We hope this case study will provide some lessons and guidance for other challenging implementations of electronic health record systems as they continue across Africa. ©Naomi Muinga, Steve Magare, Jonathan Monda, Onesmus Kamau, Stuart Houston, Hamish Fraser, John Powell, Mike English, Chris Paton. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 18.04.2018.
Managing Digital Archives Using Open Source Software Tools
NASA Astrophysics Data System (ADS)
Barve, S.; Dongare, S.
2007-10-01
This paper describes the use of open source software tools such as MySQL and PHP for creating database-backed websites. Such websites offer many advantages over ones built from static HTML pages. This paper will discuss how OSS tools are used and their benefits, and after the successful implementation of these tools how the library took the initiative in implementing an institutional repository using DSpace open source software.
Open Source Cloud-Based Technologies for Bim
NASA Astrophysics Data System (ADS)
Logothetis, S.; Karachaliou, E.; Valari, E.; Stylianidis, E.
2018-05-01
This paper presents a Cloud-based open source system for storing and processing data from a 3D survey approach. More specifically, we provide an online service for viewing, storing and analysing BIM. Cloud technologies were used to develop a web interface as a BIM data centre, which can handle large BIM data using a server. The server can be accessed by many users through various electronic devices anytime and anywhere so they can view online 3D models using browsers. Nowadays, the Cloud computing is engaged progressively in facilitating BIM-based collaboration between the multiple stakeholders and disciplinary groups for complicated Architectural, Engineering and Construction (AEC) projects. Besides, the development of Open Source Software (OSS) has been rapidly growing and their use tends to be united. Although BIM and Cloud technologies are extensively known and used, there is a lack of integrated open source Cloud-based platforms able to support all stages of BIM processes. The present research aims to create an open source Cloud-based BIM system that is able to handle geospatial data. In this effort, only open source tools will be used; from the starting point of creating the 3D model with FreeCAD to its online presentation through BIMserver. Python plug-ins will be developed to link the two software which will be distributed and freely available to a large community of professional for their use. The research work will be completed by benchmarking four Cloud-based BIM systems: Autodesk BIM 360, BIMserver, Graphisoft BIMcloud and Onuma System, which present remarkable results.
NASA Astrophysics Data System (ADS)
Huba, J. D.; Joyce, G.
2001-05-01
In the past decade, the Open Source Model for software development has gained popularity and has had numerous major achievements: emacs, Linux, the Gimp, and Python, to name a few. The basic idea is to provide the source code of the model or application, a tutorial on its use, and a feedback mechanism with the community so that the model can be tested, improved, and archived. Given the success of the Open Source Model, we believe it may prove valuable in the development of scientific research codes. With this in mind, we are `Open Sourcing' the low to mid-latitude ionospheric model that has recently been developed at the Naval Research Laboratory: SAMI2 (Sami2 is Another Model of the Ionosphere). The model is comprehensive and uses modern numerical techniques. The structure and design of SAMI2 make it relatively easy to understand and modify: the numerical algorithms are simple and direct, and the code is reasonably well-written. Furthermore, SAMI2 is designed to run on personal computers; prohibitive computational resources are not necessary, thereby making the model accessible and usable by virtually all researchers. For these reasons, SAMI2 is an excellent candidate to explore and test the open source modeling paradigm in space physics research. We will discuss various topics associated with this project. Research supported by the Office of Naval Research.
Modern software approaches applied to a Hydrological model: the GEOtop Open-Source Software Project
NASA Astrophysics Data System (ADS)
Cozzini, Stefano; Endrizzi, Stefano; Cordano, Emanuele; Bertoldi, Giacomo; Dall'Amico, Matteo
2017-04-01
The GEOtop hydrological scientific package is an integrated hydrological model that simulates the heat and water budgets at and below the soil surface. It describes the three-dimensional water flow in the soil and the energy exchange with the atmosphere, considering the radiative and turbulent fluxes. Furthermore, it reproduces the highly non-linear interactions between the water and energy balance during soil freezing and thawing, and simulates the temporal evolution of snow cover, soil temperature and moisture. The core components of the package were presented in the 2.0 version (Endrizzi et al, 2014), which was released as Free Software Open-source project. However, despite the high scientific quality of the project, a modern software engineering approach was still missing. Such weakness hindered its scientific potential and its use both as a standalone package and, more importantly, in an integrate way with other hydrological software tools. In this contribution we present our recent software re-engineering efforts to create a robust and stable scientific software package open to the hydrological community, easily usable by researchers and experts, and interoperable with other packages. The activity takes as a starting point the 2.0 version, scientifically tested and published. This version, together with several test cases based on recent published or available GEOtop applications (Cordano and Rigon, 2013, WRR, Kollet et al, 2016, WRR) provides the baseline code and a certain number of referenced results as benchmark. Comparison and scientific validation can then be performed for each software re-engineering activity performed on the package. To keep track of any single change the package is published on its own github repository geotopmodel.github.io/geotop/ under GPL v3.0 license. A Continuous Integration mechanism by means of Travis-CI has been enabled on the github repository on master and main development branches. The usage of CMake configuration tool and the suite of tests (easily manageable by means of ctest tools) greatly reduces the burden of the installation and allows us to enhance portability on different compilers and Operating system platforms. The package was also complemented by several software tools which provide web-based visualization of results based on R plugins, in particular "shiny" (Chang at al, 2016), "geotopbricks" and "geotopOptim2" (Cordano et al, 2016) packages, which allow rapid and efficient scientific validation of new examples and tests. The software re-engineering activities are still under development. However, our first results are promising enough to eventually reach a robust and stable software project that manages in a flexible way a complex state-of-the-art hydrological model like GEOtop and integrates it into wider workflows.
Interim Open Source Software (OSS) Policy
This interim Policy establishes a framework to implement the requirements of the Office of Management and Budget's (OMB) Federal Source Code Policy to achieve efficiency, transparency and innovation through reusable and open source software.
A Clustering-Based Approach to Enriching Code Foraging Environment.
Niu, Nan; Jin, Xiaoyu; Niu, Zhendong; Cheng, Jing-Ru C; Li, Ling; Kataev, Mikhail Yu
2016-09-01
Developers often spend valuable time navigating and seeking relevant code in software maintenance. Currently, there is a lack of theoretical foundations to guide tool design and evaluation to best shape the code base to developers. This paper contributes a unified code navigation theory in light of the optimal food-foraging principles. We further develop a novel framework for automatically assessing the foraging mechanisms in the context of program investigation. We use the framework to examine to what extent the clustering of software entities affects code foraging. Our quantitative analysis of long-lived open-source projects suggests that clustering enriches the software environment and improves foraging efficiency. Our qualitative inquiry reveals concrete insights into real developer's behavior. Our research opens the avenue toward building a new set of ecologically valid code navigation tools.
Leveraging Open Standards and Technologies to Enhance Community Access to Earth Science Lidar Data
NASA Astrophysics Data System (ADS)
Crosby, C. J.; Nandigam, V.; Krishnan, S.; Cowart, C.; Baru, C.; Arrowsmith, R.
2011-12-01
Lidar (Light Detection and Ranging) data, collected from space, airborne and terrestrial platforms, have emerged as an invaluable tool for a variety of Earth science applications ranging from ice sheet monitoring to modeling of earth surface processes. However, lidar present a unique suite of challenges from the perspective of building cyberinfrastructure systems that enable the scientific community to access these valuable research datasets. Lidar data are typically characterized by millions to billions of individual measurements of x,y,z position plus attributes; these "raw" data are also often accompanied by derived raster products and are frequently terabytes in size. As a relatively new and rapidly evolving data collection technology, relevant open data standards and software projects are immature compared to those for other remote sensing platforms. The NSF-funded OpenTopography Facility project has developed an online lidar data access and processing system that co-locates data with on-demand processing tools to enable users to access both raw point cloud data as well as custom derived products and visualizations. OpenTopography is built on a Service Oriented Architecture (SOA) in which applications and data resources are deployed as standards compliant (XML and SOAP) Web services with the open source Opal Toolkit. To develop the underlying applications for data access, filtering and conversion, and various processing tasks, OpenTopography has heavily leveraged existing open source software efforts for both lidar and raster data. Operating on the de facto LAS binary point cloud format (maintained by ASPRS), open source libLAS and LASlib libraries provide OpenTopography data ingestion, query and translation capabilities. Similarly, raster data manipulation is performed through a suite of services built on the Geospatial Data Abstraction Library (GDAL). OpenTopography has also developed our own algorithm for high-performance gridding of lidar point cloud data, Points2Grid, and have released the code as an open source project. An emerging conversation that the lidar community and OpenTopography are actively engaged in is the need for open, community supported standards and metadata for both full waveform and terrestrial (waveform and discrete return) lidar data. Further, given the immature nature of many lidar data archives and limited online access to public domain data, there is an opportunity to develop interoperable data catalogs based on an open standard such as the OGC CSW specification to facilitate discovery and access to Earth science oriented lidar data.
Geowall: Investigations into low-cost stereo display technologies
Steinwand, Daniel R.; Davis, Brian; Weeks, Nathan
2003-01-01
Recently, the combination of new projection technology, fast, low-cost graphics cards, and Linux-powered personal computers has made it possible to provide a stereoprojection and stereoviewing system that is much more affordable than previous commercial solutions. These Geowall systems are low-cost visualization systems built with commodity off-the-shelf components, run on open-source (and other) operating systems, and using open-source applications software. In short, they are ?Beowulf-class? visualization systems that provide a cost-effective way for the U. S. Geological Survey to broaden participation in the visualization community and view stereoimagery and three-dimensional models2.
Social network of PESCA (Open Source Platform for eHealth).
Sanchez, Carlos L; Romero-Cuevas, Miguel; Lopez, Diego M; Lorca, Julio; Alcazar, Francisco J; Ruiz, Sergio; Mercado, Carmen; Garcia-Fortea, Pedro
2008-01-01
Information and Communication Technologies (ICTs) are revolutionizing how healthcare systems deliver top-quality care to citizens. In this way, Open Source Software (OSS) has demonstrated to be an important strategy to spread ICTs use. Several human and technological barriers in adopting OSS for healthcare have been identified. Human barriers include user acceptance, limited support, technical skillfulness, awareness, resistance to change, etc., while Technological barriers embrace need for open standards, heterogeneous OSS developed without normalization and metrics, lack of initiatives to evaluate existing health OSS and need for quality control and functional validation. The goals of PESCA project are to create a platform of interoperable modules to evaluate, classify and validate good practices in health OSS. Furthermore, a normalization platform will provide interoperable solutions in the fields of healthcare services, health surveillance, health literature, and health education, knowledge and research. Within the platform, the first goal to achieve is the setup of the collaborative work infrastructure. The platform is being organized as a Social Network which works to evaluate five scopes of every existing open source tools for eHealth: Open Source Software, Quality, Pedagogical, Security and privacy and Internationalization/I18N. In the meantime, the knowledge collected from the networking will configure a Good Practice Repository on eHealth promoting the effective use of ICT on behalf of the citizen's health.
The open-source movement: an introduction for forestry professionals
Patrick Proctor; Paul C. Van Deusen; Linda S. Heath; Jeffrey H. Gove
2005-01-01
In recent years, the open-source movement has yielded a generous and powerful suite of software and utilities that rivals those developed by many commercial software companies. Open-source programs are available for many scientific needs: operating systems, databases, statistical analysis, Geographic Information System applications, and object-oriented programming....
Open Data and Open Science for better Research in the Geo and Space Domain
NASA Astrophysics Data System (ADS)
Ritschel, B.; Seelus, C.; Neher, G.; Iyemori, T.; Koyama, Y.; Yatagai, A. I.; Murayama, Y.; King, T. A.; Hughes, S.; Fung, S. F.; Galkin, I. A.; Hapgood, M. A.; Belehaki, A.
2015-12-01
Main open data principles had been worked out in the run-up and finally adopted in the Open Data Charta at the G8 summit in Lough Erne, Northern Ireland in June 2013. Important principles are also valid for science data, such as Open Data by Default, Quality and Quantity, Useable by All, Releasing Data for Improved Governance, Releasing Data for Innovation. There is also an explicit relationship to such areas of high values as earth observation, education and geospatial data. The European union implementation plan of the Open Data Charta identifies among other things objectives such as making data available in an open format, enabling semantic interoperability, ensuring quality, documentation and where appropriate reconciliation across different data sources, implementing software solutionsallowing easy management, publication or visualization of datasets and simplifying clearance of intellectual property rights.Open Science is not just a list of already for a longer time known principles but stands for a lot of initiatives and projects around a better handling of scientific data and openly shared scientific knowledge. It is also about transparency in methodology and collection of data, availability and reuse of scientific data, public accessibility to scientific communication and using of social media to facility scientific collaboration. Some projects are concentrating on open sharing of free and open source software and even further hardware in kind of processing capabilities. In addition question about the mashup of data and publication and an open peer review process are addressed.Following the principles of open data and open science the newest results of the collaboration efforts in mashing up the data servers related to the Japanese IUGONET, the European Union ESPAS and the GFZ ISDC semantic Web projects will be presented here. The semantic Web based approach for the mashup is focusing on the design and implementation of a common but still distributed data catalog based on semantical interoperability including the transparent access to data in relational data bases. References: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/207772/Open_Data_Charter.pdfhttp://www.openscience.org/blog/wp-content/uploads/2013/06/OpenSciencePoster.pdf
The 2016 Bioinformatics Open Source Conference (BOSC)
Harris, Nomi L.; Cock, Peter J.A.; Chapman, Brad; Fields, Christopher J.; Hokamp, Karsten; Lapp, Hilmar; Muñoz-Torres, Monica; Wiencko, Heather
2016-01-01
Message from the ISCB: The Bioinformatics Open Source Conference (BOSC) is a yearly meeting organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of Open Source software development and Open Science within the biological research community. BOSC has been run since 2000 as a two-day Special Interest Group (SIG) before the annual ISMB conference. The 17th annual BOSC ( http://www.open-bio.org/wiki/BOSC_2016) took place in Orlando, Florida in July 2016. As in previous years, the conference was preceded by a two-day collaborative coding event open to the bioinformatics community. The conference brought together nearly 100 bioinformatics researchers, developers and users of open source software to interact and share ideas about standards, bioinformatics software development, and open and reproducible science. PMID:27781083
HELI-DEM portal for geo-processing services
NASA Astrophysics Data System (ADS)
Cannata, Massimiliano; Antonovic, Milan; Molinari, Monia
2014-05-01
HELI-DEM (Helvetia-Italy Digital Elevation Model) is a project developed in the framework of Italy/Switzerland Operational Programme for Trans-frontier Cooperation 2007-2013 whose major aim is to create a unified digital terrain model that includes the alpine and sub-alpine areas between Italy and Switzerland. The partners of the project are: Lombardy Region, Piedmont Region, Polytechnic of Milan, Polytechnic of Turin and Fondazione Politecnico from Italy; Institute of Earth Sciences (SUPSI) from Switzerland. The digital terrain model has been produced by integrating and validating the different elevation data available for the areas of interest, characterized by different reference frame, resolutions and accuracies: DHM at 25 m resolution from Swisstopo, DTM at 20 m resolution from Lombardy Region, DTM at 5 m resolution from Piedmont Region and DTM LiDAR PST-A at about 1 m resolution, that covers the main river bed areas and is produced by the Italian Ministry of the Environment. Further results of the project are: the generation of a unique Italian Swiss geoid with an accuracy of few centimeters (Gilardoni et al. 2012); the establishment of a GNSS permanent network, prototype of a transnational positioning service; the development of a geo-portal, entirely based on open source technologies and open standards, which provides the cross-border DTM and offers some capabilities of analysis and processing through the Internet. With this talk, the authors want to present the main steps of the project with a focus on the HELI-DEM geo-portal development carried out by the Institute of Earth Sciences, which is the access point to the DTM outputted from the project. The portal, accessible at http://geoservice.ist.supsi.ch/helidem, is a demonstration of open source technologies combined for providing access to geospatial functionalities to wide non GIS expert public. In fact, the system is entirely developed using only Open Standards and Free and Open Source Software (FOSS) both on the server side (services) and on the client side (interface). In addition to self developed code the system relies mainly on teh software GRASS 7 [1], ZOO-project [2], Geoserver [3] and OpenLayers [4] and the standards WMS [5], WCS [6] and WPS [7]. At the time of writing, the portal offers features like profiling, contour extraction, watershed delineation and analysis, derivatives calculation, data extraction, coordinate conversion but it is evolving and it is planned to extend to a series of environmental modeling that the IST developed in the past like dam break simulation, landslide run-out estimation and floods due to landslide impact in artificial basins. [1] Neteler M., Mitasova H., Open Source GIS: A GRASS GIS Approach. 3rd Ed. 406 pp, Springer, New York, 2008. [2] Fenoy G., Bozon N., Raghavan V., ZOO Project: The Open Wps Platform. Proceeding of 1st International Workshop on Pervasive Web Mapping, Geoprocessing and Services (WebMGS). Como, http://www.isprs.org/proceedings/XXXVIII/4-W13/ID_32.pdf, 26-27 agosto 2010. [3] Giannecchini S., Aime A., GeoServer, il server open source per la gestione interoperabile dei dati geospaziali. Atti 15a Conferenza Nazionale ASITA. Reggia di Colorno, 15-18 novembre 2011. [4] Perez A.S., OpenLayers Cookbook. Packt Publishing, 2012. ISBN 1849517843. [5] OGC, OpenGIS Web Map Server Implementation Specification, http://www.opengeospatial.org/standards/wms, 2006. [6] OGC, OGC WCS 2.0 Interface Standard - Core, http://portal.opengeospatial.org/files/?artifact_id=41437, 2010b. [7] OGC, OpenGIS Web Processing Service, http://portal.opengeospatial.org/files/?artifact_id=24151, 2007.
A survey of quality assurance practices in biomedical open source software projects.
Koru, Günes; El Emam, Khaled; Neisa, Angelica; Umarji, Medha
2007-05-07
Open source (OS) software is continuously gaining recognition and use in the biomedical domain, for example, in health informatics and bioinformatics. Given the mission critical nature of applications in this domain and their potential impact on patient safety, it is important to understand to what degree and how effectively biomedical OS developers perform standard quality assurance (QA) activities such as peer reviews and testing. This would allow the users of biomedical OS software to better understand the quality risks, if any, and the developers to identify process improvement opportunities to produce higher quality software. A survey of developers working on biomedical OS projects was conducted to examine the QA activities that are performed. We took a descriptive approach to summarize the implementation of QA activities and then examined some of the factors that may be related to the implementation of such practices. Our descriptive results show that 63% (95% CI, 54-72) of projects did not include peer reviews in their development process, while 82% (95% CI, 75-89) did include testing. Approximately 74% (95% CI, 67-81) of developers did not have a background in computing, 80% (95% CI, 74-87) were paid for their contributions to the project, and 52% (95% CI, 43-60) had PhDs. A multivariate logistic regression model to predict the implementation of peer reviews was not significant (likelihood ratio test = 16.86, 9 df, P = .051) and neither was a model to predict the implementation of testing (likelihood ratio test = 3.34, 9 df, P = .95). Less attention is paid to peer review than testing. However, the former is a complementary, and necessary, QA practice rather than an alternative. Therefore, one can argue that there are quality risks, at least at this point in time, in transitioning biomedical OS software into any critical settings that may have operational, financial, or safety implications. Developers of biomedical OS applications should invest more effort in implementing systemic peer review practices throughout the development and maintenance processes.
Rey-Martinez, Jorge; Pérez-Fernández, Nicolás
2016-12-01
The proposed validation goal of 0.9 in intra-class correlation coefficient was reached with the results of this study. With the obtained results we consider that the developed software (RombergLab) is a validated balance assessment software. The reliability of this software is dependent of the used force platform technical specifications. Develop and validate a posturography software and share its source code in open source terms. Prospective non-randomized validation study: 20 consecutive adults underwent two balance assessment tests, six condition posturography was performed using a clinical approved software and force platform and the same conditions were measured using the new developed open source software using a low cost force platform. Intra-class correlation index of the sway area obtained from the center of pressure variations in both devices for the six conditions was the main variable used for validation. Excellent concordance between RombergLab and clinical approved force platform was obtained (intra-class correlation coefficient =0.94). A Bland and Altman graphic concordance plot was also obtained. The source code used to develop RombergLab was published in open source terms.
GNU Data Language (GDL) - a free and open-source implementation of IDL
NASA Astrophysics Data System (ADS)
Arabas, Sylwester; Schellens, Marc; Coulais, Alain; Gales, Joel; Messmer, Peter
2010-05-01
GNU Data Language (GDL) is developed with the aim of providing an open-source drop-in replacement for the ITTVIS's Interactive Data Language (IDL). It is free software developed by an international team of volunteers led by Marc Schellens - the project's founder (a list of contributors is available on the project's website). The development is hosted on SourceForge where GDL continuously ranks in the 99th percentile of most active projects. GDL with its library routines is designed as a tool for numerical data analysis and visualisation. As its proprietary counterparts (IDL and PV-WAVE), GDL is used particularly in geosciences and astronomy. GDL is dynamically-typed, vectorized and has object-oriented programming capabilities. The library routines handle numerical calculations, data visualisation, signal/image processing, interaction with host OS and data input/output. GDL supports several data formats such as netCDF, HDF4, HDF5, GRIB, PNG, TIFF, DICOM, etc. Graphical output is handled by X11, PostScript, SVG or z-buffer terminals, the last one allowing output to be saved in a variety of raster graphics formats. GDL is an incremental compiler with integrated debugging facilities. It is written in C++ using the ANTLR language-recognition framework. Most of the library routines are implemented as interfaces to open-source packages such as GNU Scientific Library, PLPlot, FFTW, ImageMagick, and others. GDL features a Python bridge (Python code can be called from GDL; GDL can be compiled as a Python module). Extensions to GDL can be written in C++, GDL, and Python. A number of open software libraries written in IDL, such as the NASA Astronomy Library, MPFIT, CMSVLIB and TeXtoIDL are fully or partially functional under GDL. Packaged versions of GDL are available for several Linux distributions and Mac OS X. The source code compiles on some other UNIX systems, including BSD and OpenSolaris. The presentation will cover the current status of the project, the key accomplishments, and the weaknesses - areas where contributions and users' feedback are welcome! While still being in beta-stage of development, GDL proved to be a useful tool for classroom work on data analysis. Its usage for teaching meteorological-data processing at the University of Warsaw will serve as an example.
2009-09-01
be complete MMOG solutions such as Multiverse are not within the scope of this thesis, though it is recommended that readers compare this type of...software to the middleware described here ( Multiverse , 2009). 1. University of Munster: Real-Time Framework The Real-Time Framework (RTF) project is...10, 2009, from http://wiki.secondlife.com/wiki/MMOX Multiverse . (2009). Multiverse platform architecture. Retrieved September 9, 2009, from http
Develop Direct Geo-referencing System Based on Open Source Software and Hardware Platform
NASA Astrophysics Data System (ADS)
Liu, H. S.; Liao, H. M.
2015-08-01
Direct geo-referencing system uses the technology of remote sensing to quickly grasp images, GPS tracks, and camera position. These data allows the construction of large volumes of images with geographic coordinates. So that users can be measured directly on the images. In order to properly calculate positioning, all the sensor signals must be synchronized. Traditional aerial photography use Position and Orientation System (POS) to integrate image, coordinates and camera position. However, it is very expensive. And users could not use the result immediately because the position information does not embed into image. To considerations of economy and efficiency, this study aims to develop a direct geo-referencing system based on open source software and hardware platform. After using Arduino microcontroller board to integrate the signals, we then can calculate positioning with open source software OpenCV. In the end, we use open source panorama browser, panini, and integrate all these to open source GIS software, Quantum GIS. A wholesome collection of data - a data processing system could be constructed.
Project Management Software for Distributed Industrial Companies
NASA Astrophysics Data System (ADS)
Dobrojević, M.; Medjo, B.; Rakin, M.; Sedmak, A.
This paper gives an overview of the development of a new software solution for project management, intended mainly to use in industrial environment. The main concern of the proposed solution is application in everyday engineering practice in various, mainly distributed industrial companies. Having this in mind, special care has been devoted to development of appropriate tools for tracking, storing and analysis of the information about the project, and in-time delivering to the right team members or other responsible persons. The proposed solution is Internet-based and uses LAMP/WAMP (Linux or Windows - Apache - MySQL - PHP) platform, because of its stability, versatility, open source technology and simple maintenance. Modular structure of the software makes it easy for customization according to client specific needs, with a very short implementation period. Its main advantages are simple usage, quick implementation, easy system maintenance, short training and only basic computer skills needed for operators.
Security of patient data when decommissioning ultrasound systems.
Moggridge, James
2017-02-01
Although ultrasound systems generally archive to Picture Archiving and Communication Systems (PACS), their archiving workflow typically involves storage to an internal hard disk before data are transferred onwards. Deleting records from the local system will delete entries in the database and from the file allocation table or equivalent but, as with a PC, files can be recovered. Great care is taken with disposal of media from a healthcare organisation to prevent data breaches, but ultrasound systems are routinely returned to lease companies, sold on or donated to third parties without such controls. In this project, five methods of hard disk erasure were tested on nine ultrasound systems being decommissioned: the system's own delete function; full reinstallation of system software; the manufacturer's own disk wiping service; open source disk wiping software for full and just blank space erasure. Attempts were then made to recover data using open source recovery tools. All methods deleted patient data as viewable from the ultrasound system and from browsing the disk from a PC. However, patient identifiable data (PID) could be recovered following the system's own deletion and the reinstallation methods. No PID could be recovered after using the manufacturer's wiping service or the open source wiping software. The typical method of reinstalling an ultrasound system's software may not prevent PID from being recovered. When transferring ownership, care should be taken that an ultrasound system's hard disk has been wiped to a sufficient level, particularly if the scanner is to be returned with approved parts and in a fully working state.
NASA Astrophysics Data System (ADS)
Daniell, James; Simpson, Alanna; Gunasekara, Rashmin; Baca, Abigail; Schaefer, Andreas; Ishizawa, Oscar; Murnane, Rick; Tijssen, Annegien; Deparday, Vivien; Forni, Marc; Himmelfarb, Anne; Leder, Jan
2015-04-01
Over the past few decades, a plethora of open access software packages for the calculation of earthquake, volcanic, tsunami, storm surge, wind and flood have been produced globally. As part of the World Bank GFDRR Review released at the Understanding Risk 2014 Conference, over 80 such open access risk assessment software packages were examined. Commercial software was not considered in the evaluation. A preliminary analysis was used to determine whether the 80 models were currently supported and if they were open access. This process was used to select a subset of 31 models that include 8 earthquake models, 4 cyclone models, 11 flood models, and 8 storm surge/tsunami models for more detailed analysis. By using multi-criteria analysis (MCDA) and simple descriptions of the software uses, the review allows users to select a few relevant software packages for their own testing and development. The detailed analysis evaluated the models on the basis of over 100 criteria and provides a synopsis of available open access natural hazard risk modelling tools. In addition, volcano software packages have since been added making the compendium of risk software tools in excess of 100. There has been a huge increase in the quality and availability of open access/source software over the past few years. For example, private entities such as Deltares now have an open source policy regarding some flood models (NGHS). In addition, leaders in developing risk models in the public sector, such as Geoscience Australia (EQRM, TCRM, TsuDAT, AnuGA) or CAPRA (ERN-Flood, Hurricane, CRISIS2007 etc.), are launching and/or helping many other initiatives. As we achieve greater interoperability between modelling tools, we will also achieve a future wherein different open source and open access modelling tools will be increasingly connected and adapted towards unified multi-risk model platforms and highly customised solutions. It was seen that many software tools could be improved by enabling user-defined exposure and vulnerability. Without this function, many tools can only be used regionally and not at global or continental scale. It is becoming increasingly easy to use multiple packages for a single region and/or hazard to characterize the uncertainty in the risk, or use as checks for the sensitivities in the analysis. There is a potential for valuable synergy between existing software. A number of open source software packages could be combined to generate a multi-risk model with multiple views of a hazard. This extensive review has simply attempted to provide a platform for dialogue between all open source and open access software packages and to hopefully inspire collaboration between developers, given the great work done by all open access and open source developers.
Fokkema, Ivo F A C; den Dunnen, Johan T; Taschner, Peter E M
2005-08-01
The completion of the human genome project has initiated, as well as provided the basis for, the collection and study of all sequence variation between individuals. Direct access to up-to-date information on sequence variation is currently provided most efficiently through web-based, gene-centered, locus-specific databases (LSDBs). We have developed the Leiden Open (source) Variation Database (LOVD) software approaching the "LSDB-in-a-Box" idea for the easy creation and maintenance of a fully web-based gene sequence variation database. LOVD is platform-independent and uses PHP and MySQL open source software only. The basic gene-centered and modular design of the database follows the recommendations of the Human Genome Variation Society (HGVS) and focuses on the collection and display of DNA sequence variations. With minimal effort, the LOVD platform is extendable with clinical data. The open set-up should both facilitate and promote functional extension with scripts written by the community. The LOVD software is freely available from the Leiden Muscular Dystrophy pages (www.DMD.nl/LOVD/). To promote the use of LOVD, we currently offer curators the possibility to set up an LSDB on our Leiden server. (c) 2005 Wiley-Liss, Inc.
Open-Source as a strategy for operational software - the case of Enki
NASA Astrophysics Data System (ADS)
Kolberg, Sjur; Bruland, Oddbjørn
2014-05-01
Since 2002, SINTEF Energy has been developing what is now known as the Enki modelling system. This development has been financed by Norway's largest hydropower producer Statkraft, motivated by a desire for distributed hydrological models in operational use. As the owner of the source code, Statkraft has recently decided on Open Source as a strategy for further development, and for migration from an R&D context to operational use. A current cooperation project is currently carried out between SINTEF Energy, 7 large Norwegian hydropower producers including Statkraft, three universities and one software company. Of course, the most immediate task is that of software maturing. A more important challenge, however, is one of gaining experience within the operational hydropower industry. A transition from lumped to distributed models is likely to also require revision of measurement program, calibration strategy, use of GIS and modern data sources like weather radar and satellite imagery. On the other hand, map based visualisations enable a richer information exchange between hydrologic forecasters and power market traders. The operating context of a distributed hydrology model within hydropower planning is far from settled. Being both a modelling framework and a library of plugin-routines to build models from, Enki supports the flexibility needed in this situation. Recent development has separated the core from the user interface, paving the way for a scripting API, cross-platform compilation, and front-end programs serving different degrees of flexibility, robustness and security. The open source strategy invites anyone to use Enki and to develop and contribute new modules. Once tested, the same modules are available for the operational versions of the program. A core challenge is to offer rigid testing procedures and mechanisms to reject routines in an operational setting, without limiting the experimentation with new modules. The Open Source strategy also has implications for building and maintaining competence around the source code and the advanced hydrological and statistical routines in Enki. Originally developed by hydrologists, the Enki code is now approaching a state where maintenance requires a background in professional software development. Without the advantage of proprietary source code, both hydrologic improvements and software maintenance depend on donations or development support on a case-to-case basis, a situation well known within the open source community. It remains to see whether these mechanisms suffice to keep Enki at the maintenance level required by the hydropower sector. ENKI is available from www.opensource-enki.org.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Campbell, Michael T.; Safdari, Masoud; Kress, Jessica E.
The project described in this report constructed and exercised an innovative multiphysics coupling toolkit called the Illinois Rocstar MultiPhysics Application Coupling Toolkit (IMPACT). IMPACT is an open source, flexible, natively parallel infrastructure for coupling multiple uniphysics simulation codes into multiphysics computational systems. IMPACT works with codes written in several high-performance-computing (HPC) programming languages, and is designed from the beginning for HPC multiphysics code development. It is designed to be minimally invasive to the individual physics codes being integrated, and has few requirements on those physics codes for integration. The goal of IMPACT is to provide the support needed to enablemore » coupling existing tools together in unique and innovative ways to produce powerful new multiphysics technologies without extensive modification and rewrite of the physics packages being integrated. There are three major outcomes from this project: 1) construction, testing, application, and open-source release of the IMPACT infrastructure, 2) production of example open-source multiphysics tools using IMPACT, and 3) identification and engagement of interested organizations in the tools and applications resulting from the project. This last outcome represents the incipient development of a user community and application echosystem being built using IMPACT. Multiphysics coupling standardization can only come from organizations working together to define needs and processes that span the space of necessary multiphysics outcomes, which Illinois Rocstar plans to continue driving toward. The IMPACT system, including source code, documentation, and test problems are all now available through the public gitHUB.org system to anyone interested in multiphysics code coupling. Many of the basic documents explaining use and architecture of IMPACT are also attached as appendices to this document. Online HTML documentation is available through the gitHUB site. There are over 100 unit tests provided that run through the Illinois Rocstar Application Development (IRAD) lightweight testing infrastructure that is also supplied along with IMPACT. The package as a whole provides an excellent base for developing high-quality multiphysics applications using modern software development practices. To facilitate understanding how to utilize IMPACT effectively, two multiphysics systems have been developed and are available open-source through gitHUB. The simpler of the two systems, named ElmerFoamFSI in the repository, is a multiphysics, fluid-structure-interaction (FSI) coupling of the solid mechanics package Elmer with a fluid dynamics module from OpenFOAM. This coupling illustrates how to combine software packages that are unrelated by either author or architecture and combine them into a robust, parallel multiphysics system. A more complex multiphysics tool is the Illinois Rocstar Rocstar Multiphysics code that was rebuilt during the project around IMPACT. Rocstar Multiphysics was already an HPC multiphysics tool, but now that it has been rearchitected around IMPACT, it can be readily expanded to capture new and different physics in the future. In fact, during this project, the Elmer and OpenFOAM tools were also coupled into Rocstar Multiphysics and demonstrated. The full Rocstar Multiphysics codebase is also available on gitHUB, and licensed for any organization to use as they wish. Finally, the new IMPACT product is already being used in several multiphysics code coupling projects for the Air Force, NASA and the Missile Defense Agency, and initial work on expansion of the IMPACT-enabled Rocstar Multiphysics has begun in support of a commercial company. These initiatives promise to expand the interest and reach of IMPACT and Rocstar Multiphysics, ultimately leading to the envisioned standardization and consortium of users that was one of the goals of this project.« less
Open Source Software in Medium Size Organizations: Key Factors for Adoption
ERIC Educational Resources Information Center
Solomon, Jerry T.
2010-01-01
For-profit organizations are constantly evaluating new technologies to gain competitive advantage. One such technology, application software, has changed significantly over the past 25 years with the introduction of Open Source Software (OSS). In contrast to commercial software that is developed by private companies and sold to organizations, OSS…
DAQ: Software Architecture for Data Acquisition in Sounding Rockets
NASA Technical Reports Server (NTRS)
Ahmad, Mohammad; Tran, Thanh; Nichols, Heidi; Bowles-Martinez, Jessica N.
2011-01-01
A multithreaded software application was developed by Jet Propulsion Lab (JPL) to collect a set of correlated imagery, Inertial Measurement Unit (IMU) and GPS data for a Wallops Flight Facility (WFF) sounding rocket flight. The data set will be used to advance Terrain Relative Navigation (TRN) technology algorithms being researched at JPL. This paper describes the software architecture and the tests used to meet the timing and data rate requirements for the software used to collect the dataset. Also discussed are the challenges of using commercial off the shelf (COTS) flight hardware and open source software. This includes multiple Camera Link (C-link) based cameras, a Pentium-M based computer, and Linux Fedora 11 operating system. Additionally, the paper talks about the history of the software architecture's usage in other JPL projects and its applicability for future missions, such as cubesats, UAVs, and research planes/balloons. Also talked about will be the human aspect of project especially JPL's Phaeton program and the results of the launch.
An open-source wireless sensor stack: from Arduino to SDI-12 to Water One Flow
NASA Astrophysics Data System (ADS)
Hicks, S.; Damiano, S. G.; Smith, K. M.; Olexy, J.; Horsburgh, J. S.; Mayorga, E.; Aufdenkampe, A. K.
2013-12-01
Implementing a large-scale streaming environmental sensor network has previously been limited by the high cost of the datalogging and data communication infrastructure. The Christina River Basin Critical Zone Observatory (CRB-CZO) is overcoming the obstacles to large near-real-time data collection networks by using Arduino, an open source electronics platform, in combination with XBee ZigBee wireless radio modules. These extremely low-cost and easy-to-use open source electronics are at the heart of the new DIY movement and have provided solutions to countless projects by over half a million users worldwide. However, their use in environmental sensing is in its infancy. At present a primary limitation to widespread deployment of open-source electronics for environmental sensing is the lack of a simple, open-source software stack to manage streaming data from heterogeneous sensor networks. Here we present a functioning prototype software stack that receives sensor data over a self-meshing ZigBee wireless network from over a hundred sensors, stores the data locally and serves it on demand as a CUAHSI Water One Flow (WOF) web service. We highlight a few new, innovative components, including: (1) a versatile open data logger design based the Arduino electronics platform and ZigBee radios; (2) a software library implementing SDI-12 communication protocol between any Arduino platform and SDI12-enabled sensors without the need for additional hardware (https://github.com/StroudCenter/Arduino-SDI-12); and (3) 'midStream', a light-weight set of Python code that receives streaming sensor data, appends it with metadata on the fly by querying a relational database structured on an early version of the Observations Data Model version 2.0 (ODM2), and uses the WOFpy library to serve the data as WaterML via SOAP and REST web services.
Getting Open Source Software into Schools: Strategies and Challenges
ERIC Educational Resources Information Center
Hepburn, Gary; Buley, Jan
2006-01-01
In this article Gary Hepburn and Jan Buley outline different approaches to implementing open source software (OSS) in schools; they also address the challenges that open source advocates should anticipate as they try to convince educational leaders to adopt OSS. With regard to OSS implementation, they note that schools have a flexible range of…
Open Source as Appropriate Technology for Global Education
ERIC Educational Resources Information Center
Carmichael, Patrick; Honour, Leslie
2002-01-01
Economic arguments for the adoption of "open source" software in business have been widely discussed. In this paper we draw on personal experience in the UK, South Africa and Southeast Asia to forward compelling reasons why open source software should be considered as an appropriate and affordable alternative to the currently prevailing…
Perceptions of Open Source versus Commercial Software: Is Higher Education Still on the Fence?
ERIC Educational Resources Information Center
van Rooij, Shahron Williams
2007-01-01
This exploratory study investigated the perceptions of technology and academic decision-makers about open source benefits and risks versus commercial software applications. The study also explored reactions to a concept for outsourcing campus-wide deployment and maintenance of open source. Data collected from telephone interviews were analyzed,…
Tethys: A Platform for Water Resources Modeling and Decision Support Apps
NASA Astrophysics Data System (ADS)
Swain, N. R.; Christensen, S. D.; Jones, N.; Nelson, E. J.
2014-12-01
Cloud-based applications or apps are a promising medium through which water resources models and data can be conveyed in a user-friendly environment—making them more accessible to decision-makers and stakeholders. In the context of this work, a water resources web app is a web application that exposes limited modeling functionality for a scenario exploration activity in a structured workflow (e.g.: land use change runoff analysis, snowmelt runoff prediction, and flood potential analysis). The technical expertise required to develop water resources web apps can be a barrier to many potential developers of water resources apps. One challenge that developers face is in providing spatial storage, analysis, and visualization for the spatial data that is inherent to water resources models. The software projects that provide this functionality are non-standard to web development and there are a large number of free and open source software (FOSS) projects to choose from. In addition, it is often required to synthesize several software projects to provide all of the needed functionality. Another challenge for the developer will be orchestrating the use of several software components. Consequently, the initial software development investment required to deploy an effective water resources cloud-based application can be substantial. The Tethys Platform has been developed to lower the technical barrier and minimize the initial development investment that prohibits many scientists and engineers from making use of the web app medium. Tethys synthesizes several software projects including PostGIS for spatial storage, 52°North WPS for spatial analysis, GeoServer for spatial publishing, Google Earth™, Google Maps™ and OpenLayers for spatial visualization, and Highcharts for plotting tabular data. The software selection came after a literature review of software projects being used to create existing earth sciences web apps. All of the software is linked via a Python-powered software development kit (SDK). Tethys developers use the SDK to build their apps and incorporate the needed functionality from the software suite. The presentation will include several apps that have been developed using Tethys to demonstrate its capabilities. Based upon work supported by the National Science Foundation under Grant No. 1135483.
Note: Tormenta: An open source Python-powered control software for camera based optical microscopy.
Barabas, Federico M; Masullo, Luciano A; Stefani, Fernando D
2016-12-01
Until recently, PC control and synchronization of scientific instruments was only possible through closed-source expensive frameworks like National Instruments' LabVIEW. Nowadays, efficient cost-free alternatives are available in the context of a continuously growing community of open-source software developers. Here, we report on Tormenta, a modular open-source software for the control of camera-based optical microscopes. Tormenta is built on Python, works on multiple operating systems, and includes some key features for fluorescence nanoscopy based on single molecule localization.
Note: Tormenta: An open source Python-powered control software for camera based optical microscopy
NASA Astrophysics Data System (ADS)
Barabas, Federico M.; Masullo, Luciano A.; Stefani, Fernando D.
2016-12-01
Until recently, PC control and synchronization of scientific instruments was only possible through closed-source expensive frameworks like National Instruments' LabVIEW. Nowadays, efficient cost-free alternatives are available in the context of a continuously growing community of open-source software developers. Here, we report on Tormenta, a modular open-source software for the control of camera-based optical microscopes. Tormenta is built on Python, works on multiple operating systems, and includes some key features for fluorescence nanoscopy based on single molecule localization.
Visualization and Quality Control Web Tools for CERES Products
NASA Astrophysics Data System (ADS)
Mitrescu, C.; Doelling, D. R.
2017-12-01
The NASA CERES project continues to provide the scientific communities a wide variety of satellite-derived data products such as observed TOA broadband shortwave and longwave observed fluxes, computed TOA and Surface fluxes, as well as cloud, aerosol, and other atmospheric parameters. They encompass a wide range of temporal and spatial resolutions, suited to specific applications. CERES data is used mostly by climate modeling communities but also by a wide variety of educational institutions. To better serve our users, a web-based Ordering and Visualization Tool (OVT) was developed by using Opens Source Software such as Eclipse, java, javascript, OpenLayer, Flot, Google Maps, python, and others. Due to increased demand by our own scientists, we also implemented a series of specialized functions to be used in the process of CERES Data Quality Control (QC) such as 1- and 2-D histograms, anomalies and differences, temporal and spatial averaging, side-by-side parameter comparison, and others that made the process of QC far easier and faster, but more importantly far more portable. With the integration of ground site observed surface fluxes we further facilitate the CERES project to QC the CERES computed surface fluxes. An overview of the CERES OVT basic functions using Open Source Software, as well as future steps in expanding its capabilities will be presented at the meeting.
Learning from hackers: open-source clinical trials.
Dunn, Adam G; Day, Richard O; Mandl, Kenneth D; Coiera, Enrico
2012-05-02
Open sharing of clinical trial data has been proposed as a way to address the gap between the production of clinical evidence and the decision-making of physicians. A similar gap was addressed in the software industry by their open-source software movement. Here, we examine how the social and technical principles of the movement can guide the growth of an open-source clinical trial community.
3D reconstruction software comparison for short sequences
NASA Astrophysics Data System (ADS)
Strupczewski, Adam; Czupryński, BłaŻej
2014-11-01
Large scale multiview reconstruction is recently a very popular area of research. There are many open source tools that can be downloaded and run on a personal computer. However, there are few, if any, comparisons between all the available software in terms of accuracy on small datasets that a single user can create. The typical datasets for testing of the software are archeological sites or cities, comprising thousands of images. This paper presents a comparison of currently available open source multiview reconstruction software for small datasets. It also compares the open source solutions with a simple structure from motion pipeline developed by the authors from scratch with the use of OpenCV and Eigen libraries.
Menegidio, Fabiano B; Jabes, Daniela L; Costa de Oliveira, Regina; Nunes, Luiz R
2018-02-01
This manuscript introduces and describes Dugong, a Docker image based on Ubuntu 16.04, which automates installation of more than 3500 bioinformatics tools (along with their respective libraries and dependencies), in alternative computational environments. The software operates through a user-friendly XFCE4 graphic interface that allows software management and installation by users not fully familiarized with the Linux command line and provides the Jupyter Notebook to assist in the delivery and exchange of consistent and reproducible protocols and results across laboratories, assisting in the development of open science projects. Source code and instructions for local installation are available at https://github.com/DugongBioinformatics, under the MIT open source license. Luiz.nunes@ufabc.edu.br. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com
ERIC Educational Resources Information Center
Thankachan, Briju; Moore, David Richard
2017-01-01
The use of Free and Open Source Software (FOSS), a subset of Information and Communication Technology (ICT), can reduce the cost of purchasing software. Despite the benefit in the initial purchase price of software, deploying software requires total cost that goes beyond the initial purchase price. Total cost is a silent issue of FOSS and can only…
ERIC Educational Resources Information Center
Lin, Yu-Wei; Zini, Enrico
2008-01-01
This empirical paper shows how free/libre open source software (FLOSS) contributes to mutual and collaborative learning in an educational environment. Unlike proprietary software, FLOSS allows extensive customisation of software to support the needs of local users better. This also allows users to participate more proactively in the development…
The Value of Open Source Software Tools in Qualitative Research
ERIC Educational Resources Information Center
Greenberg, Gary
2011-01-01
In an era of global networks, researchers using qualitative methods must consider the impact of any software they use on the sharing of data and findings. In this essay, I identify researchers' main areas of concern regarding the use of qualitative software packages for research. I then examine how open source software tools, wherein the publisher…
ERIC Educational Resources Information Center
Wen, Wen
2012-01-01
While open source software (OSS) emphasizes open access to the source code and avoids the use of formal appropriability mechanisms, there has been little understanding of how the existence and exercise of formal intellectual property rights (IPR) such as patents influence the direction of OSS innovation. This dissertation seeks to bridge this gap…
Converging Work-Talk Patterns in Online Task-Oriented Communities.
Xuan, Qi; Devanbu, Premkumar; Filkov, Vladimir
2016-01-01
Much of what we do is accomplished by working collaboratively with others, and a large portion of our lives are spent working and talking; the patterns embodied in the alternation of working and talking can provide much useful insight into task-oriented social behaviors. The available electronic traces of the different kinds of human activities in online communities are an empirical goldmine that can enable the holistic study and understanding of these social systems. Open Source Software (OSS) projects are prototypical examples of collaborative, task-oriented communities, depending on volunteers for high-quality work. Here, we use sequence analysis methods to identify the work-talk patterns of software developers in online communities of Open Source Software projects. We find that software developers prefer to persist in same kinds of activities, i.e., a string of work activities followed by a string of talk activities and so forth, rather than switch them frequently; this tendency strengthens with time, suggesting that developers become more efficient, and can work longer with fewer interruptions. This process is accompanied by the formation of community culture: developers' patterns in the same communities get closer with time while different communities get relatively more different. The emergence of community culture is apparently driven by both "talk" and "work". Finally, we also find that workers with good balance between "work" and "talk" tend to produce just as much work as those that focus strongly on "work"; however, the former appear to be more likely to continue to be active contributors in the communities.
RGG: A general GUI Framework for R scripts
Visne, Ilhami; Dilaveroglu, Erkan; Vierlinger, Klemens; Lauss, Martin; Yildiz, Ahmet; Weinhaeusel, Andreas; Noehammer, Christa; Leisch, Friedrich; Kriegner, Albert
2009-01-01
Background R is the leading open source statistics software with a vast number of biostatistical and bioinformatical analysis packages. To exploit the advantages of R, extensive scripting/programming skills are required. Results We have developed a software tool called R GUI Generator (RGG) which enables the easy generation of Graphical User Interfaces (GUIs) for the programming language R by adding a few Extensible Markup Language (XML) – tags. RGG consists of an XML-based GUI definition language and a Java-based GUI engine. GUIs are generated in runtime from defined GUI tags that are embedded into the R script. User-GUI input is returned to the R code and replaces the XML-tags. RGG files can be developed using any text editor. The current version of RGG is available as a stand-alone software (RGGRunner) and as a plug-in for JGR. Conclusion RGG is a general GUI framework for R that has the potential to introduce R statistics (R packages, built-in functions and scripts) to users with limited programming skills and helps to bridge the gap between R developers and GUI-dependent users. RGG aims to abstract the GUI development from individual GUI toolkits by using an XML-based GUI definition language. Thus RGG can be easily integrated in any software. The RGG project further includes the development of a web-based repository for RGG-GUIs. RGG is an open source project licensed under the Lesser General Public License (LGPL) and can be downloaded freely at PMID:19254356
Open source EMR software: profiling, insights and hands-on analysis.
Kiah, M L M; Haiqi, Ahmed; Zaidan, B B; Zaidan, A A
2014-11-01
The use of open source software in health informatics is increasingly advocated by authors in the literature. Although there is no clear evidence of the superiority of the current open source applications in the healthcare field, the number of available open source applications online is growing and they are gaining greater prominence. This repertoire of open source options is of a great value for any future-planner interested in adopting an electronic medical/health record system, whether selecting an existent application or building a new one. The following questions arise. How do the available open source options compare to each other with respect to functionality, usability and security? Can an implementer of an open source application find sufficient support both as a user and as a developer, and to what extent? Does the available literature provide adequate answers to such questions? This review attempts to shed some light on these aspects. The objective of this study is to provide more comprehensive guidance from an implementer perspective toward the available alternatives of open source healthcare software, particularly in the field of electronic medical/health records. The design of this study is twofold. In the first part, we profile the published literature on a sample of existent and active open source software in the healthcare area. The purpose of this part is to provide a summary of the available guides and studies relative to the sampled systems, and to identify any gaps in the published literature with respect to our research questions. In the second part, we investigate those alternative systems relative to a set of metrics, by actually installing the software and reporting a hands-on experience of the installation process, usability, as well as other factors. The literature covers many aspects of open source software implementation and utilization in healthcare practice. Roughly, those aspects could be distilled into a basic taxonomy, making the literature landscape more perceivable. Nevertheless, the surveyed articles fall short of fulfilling the targeted objective of providing clear reference to potential implementers. The hands-on study contributed a more detailed comparative guide relative to our set of assessment measures. Overall, no system seems to satisfy an industry-standard measure, particularly in security and interoperability. The systems, as software applications, feel similar from a usability perspective and share a common set of functionality, though they vary considerably in community support and activity. More detailed analysis of popular open source software can benefit the potential implementers of electronic health/medical records systems. The number of examined systems and the measures by which to compare them vary across studies, but still rewarding insights start to emerge. Our work is one step toward that goal. Our overall conclusion is that open source options in the medical field are still far behind the highly acknowledged open source products in other domains, e.g. operating systems market share. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
Open Source Software and the Intellectual Commons.
ERIC Educational Resources Information Center
Dorman, David
2002-01-01
Discusses the Open Source Software method of software development and its relationship to control over information content. Topics include digital library resources; reference services; preservation; the legal and economic status of information; technical standards; access to digital data; control of information use; and copyright and patent laws.…
ERIC Educational Resources Information Center
Williams van Rooij, Shahron
2010-01-01
This paper contrasts the arguments offered in the literature advocating the adoption of open source software (OSS)--software delivered with its source code--for teaching and learning applications, with the reality of limited enterprise-wide deployment of those applications in U.S. higher education. Drawing on the fields of organizational…
GIS-Based Noise Simulation Open Source Software: N-GNOIS
NASA Astrophysics Data System (ADS)
Vijay, Ritesh; Sharma, A.; Kumar, M.; Shende, V.; Chakrabarti, T.; Gupta, Rajesh
2015-12-01
Geographical information system (GIS)-based noise simulation software (N-GNOIS) has been developed to simulate the noise scenario due to point and mobile sources considering the impact of geographical features and meteorological parameters. These have been addressed in the software through attenuation modules of atmosphere, vegetation and barrier. N-GNOIS is a user friendly, platform-independent and open geospatial consortia (OGC) compliant software. It has been developed using open source technology (QGIS) and open source language (Python). N-GNOIS has unique features like cumulative impact of point and mobile sources, building structure and honking due to traffic. Honking is the most common phenomenon in developing countries and is frequently observed on any type of roads. N-GNOIS also helps in designing physical barrier and vegetation cover to check the propagation of noise and acts as a decision making tool for planning and management of noise component in environmental impact assessment (EIA) studies.
Software Writing Skills for Your Research - Lessons Learned from Workshops in the Geosciences
NASA Astrophysics Data System (ADS)
Hammitzsch, Martin
2016-04-01
Findings presented in scientific papers are based on data and software. Once in a while they come along with data - but not commonly with software. However, the software used to gain findings plays a crucial role in the scientific work. Nevertheless, software is rarely seen publishable. Thus researchers may not reproduce the findings without the software which is in conflict with the principle of reproducibility in sciences. For both, the writing of publishable software and the reproducibility issue, the quality of software is of utmost importance. For many programming scientists the treatment of source code, e.g. with code design, version control, documentation, and testing is associated with additional work that is not covered in the primary research task. This includes the adoption of processes following the software development life cycle. However, the adoption of software engineering rules and best practices has to be recognized and accepted as part of the scientific performance. Most scientists have little incentive to improve code and do not publish code because software engineering habits are rarely practised by researchers or students. Software engineering skills are not passed on to followers as for paper writing skill. Thus it is often felt that the software or code produced is not publishable. The quality of software and its source code has a decisive influence on the quality of research results obtained and their traceability. So establishing best practices from software engineering to serve scientific needs is crucial for the success of scientific software. Even though scientists use existing software and code, i.e., from open source software repositories, only few contribute their code back into the repositories. So writing and opening code for Open Science means that subsequent users are able to run the code, e.g. by the provision of sufficient documentation, sample data sets, tests and comments which in turn can be proven by adequate and qualified reviews. This assumes that scientist learn to write and release code and software as they learn to write and publish papers. Having this in mind, software could be valued and assessed as a contribution to science. But this requires the relevant skills that can be passed to colleagues and followers. Therefore, the GFZ German Research Centre for Geosciences performed three workshops in 2015 to address the passing of software writing skills to young scientists, the next generation of researchers in the Earth, planetary and space sciences. Experiences in running these workshops and the lessons learned will be summarized in this presentation. The workshops have received support and funding by Software Carpentry, a volunteer organization whose goal is to make scientists more productive, and their work more reliable, by teaching them basic computing skills, and by FOSTER (Facilitate Open Science Training for European Research), a two-year, EU-Funded (FP7) project, whose goal to produce a European-wide training programme that will help to incorporate Open Access approaches into existing research methodologies and to integrate Open Science principles and practice in the current research workflow by targeting the young researchers and other stakeholders.
FreeTure: A Free software to capTure meteors for FRIPON
NASA Astrophysics Data System (ADS)
Audureau, Yoan; Marmo, Chiara; Bouley, Sylvain; Kwon, Min-Kyung; Colas, François; Vaubaillon, Jérémie; Birlan, Mirel; Zanda, Brigitte; Vernazza, Pierre; Caminade, Stephane; Gattecceca, Jérôme
2014-02-01
The Fireball Recovery and Interplanetary Observation Network (FRIPON) is a French project started in 2014 which will monitor the sky, using 100 all-sky cameras to detect meteors and to retrieve related meteorites on the ground. There are several detection software all around. Some of them are proprietary. Also, some of them are hardware dependent. We present here the open source software for meteor detection to be installed on the FRIPON network's stations. The software will run on Linux with gigabit Ethernet cameras and we plan to make it cross platform. This paper is focused on the meteor detection method used for the pipeline development and the present capabilities.
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, Robert C; Carey, Vincent J; Bates, Douglas M; Bolstad, Ben; Dettling, Marcel; Dudoit, Sandrine; Ellis, Byron; Gautier, Laurent; Ge, Yongchao; Gentry, Jeff; Hornik, Kurt; Hothorn, Torsten; Huber, Wolfgang; Iacus, Stefano; Irizarry, Rafael; Leisch, Friedrich; Li, Cheng; Maechler, Martin; Rossini, Anthony J; Sawitzki, Gunther; Smith, Colin; Smyth, Gordon; Tierney, Luke; Yang, Jean YH; Zhang, Jianhua
2004-01-01
The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into interdisciplinary scientific research, and promoting the achievement of remote reproducibility of research results. We describe details of our aims and methods, identify current challenges, compare Bioconductor to other open bioinformatics projects, and provide working examples. PMID:15461798
PASSIM--an open source software system for managing information in biomedical studies.
Viksna, Juris; Celms, Edgars; Opmanis, Martins; Podnieks, Karlis; Rucevskis, Peteris; Zarins, Andris; Barrett, Amy; Neogi, Sudeshna Guha; Krestyaninova, Maria; McCarthy, Mark I; Brazma, Alvis; Sarkans, Ugis
2007-02-09
One of the crucial aspects of day-to-day laboratory information management is collection, storage and retrieval of information about research subjects and biomedical samples. An efficient link between sample data and experiment results is absolutely imperative for a successful outcome of a biomedical study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but often implies sufficient investment of time, effort and funds, which are not always available. There is a clear need for lightweight open source systems for patient and sample information management. We present a web-based tool for submission, management and retrieval of sample and research subject data. The system secures confidentiality by separating anonymized sample information from individuals' records. It is simple and generic, and can be customised for various biomedical studies. Information can be both entered and accessed using the same web interface. User groups and their privileges can be defined. The system is open-source and is supplied with an on-line tutorial and necessary documentation. It has proven to be successful in a large international collaborative project. The presented system closes the gap between the need and the availability of lightweight software solutions for managing information in biomedical studies involving human research subjects.
Evaluation of DICOM viewer software for workflow integration in clinical trials
NASA Astrophysics Data System (ADS)
Haak, Daniel; Page, Charles E.; Kabino, Klaus; Deserno, Thomas M.
2015-03-01
The digital imaging and communications in medicine (DICOM) protocol is nowadays the leading standard for capture, exchange and storage of image data in medical applications. A broad range of commercial, free, and open source software tools supporting a variety of DICOM functionality exists. However, different from patient's care in hospital, DICOM has not yet arrived in electronic data capture systems (EDCS) for clinical trials. Due to missing integration, even just the visualization of patient's image data in electronic case report forms (eCRFs) is impossible. Four increasing levels for integration of DICOM components into EDCS are conceivable, raising functionality but also demands on interfaces with each level. Hence, in this paper, a comprehensive evaluation of 27 DICOM viewer software projects is performed, investigating viewing functionality as well as interfaces for integration. Concerning general, integration, and viewing requirements the survey involves the criteria (i) license, (ii) support, (iii) platform, (iv) interfaces, (v) two-dimensional (2D) and (vi) three-dimensional (3D) image viewing functionality. Optimal viewers are suggested for applications in clinical trials for 3D imaging, hospital communication, and workflow. Focusing on open source solutions, the viewers ImageJ and MicroView are superior for 3D visualization, whereas GingkoCADx is advantageous for hospital integration. Concerning workflow optimization in multi-centered clinical trials, we suggest the open source viewer Weasis. Covering most use cases, an EDCS and PACS interconnection with Weasis is suggested.
The Earth System Documentation (ES-DOC) Software Process
NASA Astrophysics Data System (ADS)
Greenslade, M. A.; Murphy, S.; Treshansky, A.; DeLuca, C.; Guilyardi, E.; Denvil, S.
2013-12-01
Earth System Documentation (ES-DOC) is an international project supplying high-quality tools & services in support of earth system documentation creation, analysis and dissemination. It is nurturing a sustainable standards based documentation eco-system that aims to become an integral part of the next generation of exa-scale dataset archives. ES-DOC leverages open source software, and applies a software development methodology that places end-user narratives at the heart of all it does. ES-DOC has initially focused upon nurturing the Earth System Model (ESM) documentation eco-system and currently supporting the following projects: * Coupled Model Inter-comparison Project Phase 5 (CMIP5); * Dynamical Core Model Inter-comparison Project (DCMIP); * National Climate Predictions and Projections Platforms Quantitative Evaluation of Downscaling Workshop. This talk will demonstrate that ES-DOC implements a relatively mature software development process. Taking a pragmatic Agile process as inspiration, ES-DOC: * Iteratively develops and releases working software; * Captures user requirements via a narrative based approach; * Uses online collaboration tools (e.g. Earth System CoG) to manage progress; * Prototypes applications to validate their feasibility; * Leverages meta-programming techniques where appropriate; * Automates testing whenever sensibly feasible; * Streamlines complex deployments to a single command; * Extensively leverages GitHub and Pivotal Tracker; * Enforces strict separation of the UI from underlying API's; * Conducts code reviews.
Dem Generation from Close-Range Photogrammetry Using Extended Python Photogrammetry Toolbox
NASA Astrophysics Data System (ADS)
Belmonte, A. A.; Biong, M. M. P.; Macatulad, E. G.
2017-10-01
Digital elevation models (DEMs) are widely used raster data for different applications concerning terrain, such as for flood modelling, viewshed analysis, mining, land development, engineering design projects, to name a few. DEMs can be obtained through various methods, including topographic survey, LiDAR or photogrammetry, and internet sources. Terrestrial close-range photogrammetry is one of the alternative methods to produce DEMs through the processing of images using photogrammetry software. There are already powerful photogrammetry software that are commercially-available and can produce high-accuracy DEMs. However, this entails corresponding cost. Although, some of these software have free or demo trials, these trials have limits in their usable features and usage time. One alternative is the use of free and open-source software (FOSS), such as the Python Photogrammetry Toolbox (PPT), which provides an interface for performing photogrammetric processes implemented through python script. For relatively small areas such as in mining or construction excavation, a relatively inexpensive, fast and accurate method would be advantageous. In this study, PPT was used to generate 3D point cloud data from images of an open pit excavation. The PPT was extended to add an algorithm converting the generated point cloud data into a usable DEM.
OpenSpace: From Data Visualization Research to Planetariums and Classrooms Worldwide
NASA Astrophysics Data System (ADS)
Emmart, C.; Ynnerman, A.; Bock, A.; Kuznetsova, M. M.; Kinzler, R. J.; Trakinski, V.; Mac Low, M. M.; Ebel, D. S. S.
2016-12-01
"OpenSpace" is a new NASA supported open source software that brings the latest techniques from data visualization research to the planetarium community and general public. The American Museum of Natural History (AMNH), in collaboration with informal science institutions (ISI), academic partners, key vendors that support planetariums worldwide, and NASA mission teams and Subject Matter Experts (SME), is creating OpenSpace to enable STEM education and improve U.S. scientific literacy by engaging a broad spectrum of the American public and STEM learners in cutting-edge NASA science and engineering content. The project's primary focus is the interactive presentation of dynamic data from observations (image sequences), astrophysical simulation (volumetric rendering), and space missions (observation geometry visualization). Development of the software began several years ago in collaboration with NASA Goddard's space weather modeling center and in conjunction with academic support from Linköping University (LiU) in Sweden, and continued last year with visualizations of NASA's New Horizons mission and ESA's Rosetta mission. For the New Horizons Pluto encounter, a dozen sites around the world running OpenSpace networked simultaneously to view the close approach to Pluto as narrated in real time by mission control scientists at NASA's Jet Propulsion Laboratory. Subsequent image data from the Long Range Reconnaissance Imaging (LORRI) camera was released by NASA as it downloaded from the spacecraft in the following months. These images, along with post encounter navigation reconstruction data (NASA SPICE) were then used to update the OpenSpace New Horizons visualization, and create a February 2016 public program in which Deputy Project Scientist, Cathy Olkin, demonstrated these results visualized in OpenSpace to a sold out crowd in the AMNH Hayden Planetarium. As demonstrated with the New Horizons visualization in OpenSpace, the goals of the project are to make visible mission planning, discoveries and theoretical simulations within an evolving software designed for live demonstration accompanied by authoritative description.
NASA Astrophysics Data System (ADS)
Kwon, N.; Gentle, J.; Pierce, S. A.
2015-12-01
Software code developed for research is often used for a relatively short period of time before it is abandoned, lost, or becomes outdated. This unintentional abandonment of code is a valid problem in the 21st century scientific process, hindering widespread reusability and increasing the effort needed to develop research software. Potentially important assets, these legacy codes may be resurrected and documented digitally for long-term reuse, often with modest effort. Furthermore, the revived code may be openly accessible in a public repository for researchers to reuse or improve. For this study, the research team has begun to revive the codebase for Groundwater Decision Support System (GWDSS), originally developed for participatory decision making to aid urban planning and groundwater management, though it may serve multiple use cases beyond those originally envisioned. GWDSS was designed as a java-based wrapper with loosely federated commercial and open source components. If successfully revitalized, GWDSS will be useful for both practical applications as a teaching tool and case study for groundwater management, as well as informing theoretical research. Using the knowledge-sharing approaches documented by the NSF-funded Ontosoft project, digital documentation of GWDSS is underway, from conception to development, deployment, characterization, integration, composition, and dissemination through open source communities and geosciences modeling frameworks. Information assets, documentation, and examples are shared using open platforms for data sharing and assigned digital object identifiers. Two instances of GWDSS version 3.0 are being created: 1) a virtual machine instance for the original case study to serve as a live demonstration of the decision support tool, assuring the original version is usable, and 2) an open version of the codebase, executable installation files, and developer guide available via an open repository, assuring the source for the application is accessible with version control and potential for new branch developments. Finally, metadata about the software has been completed within the OntoSoft portal to provide descriptive curation, make GWDSS searchable, and complete documentation of the scientific software lifecycle.
NASA Technical Reports Server (NTRS)
Fountain T.; Tilak, S.; Shin, P.; Hubbard, P.; Freudinger, L.
2009-01-01
The Open Source DataTurbine Initiative is an international community of scientists and engineers sharing a common interest in real-time streaming data middleware and applications. The technology base of the OSDT Initiative is the DataTurbine open source middleware. Key applications of DataTurbine include coral reef monitoring, lake monitoring and limnology, biodiversity and animal tracking, structural health monitoring and earthquake engineering, airborne environmental monitoring, and environmental sustainability. DataTurbine software emerged as a commercial product in the 1990 s from collaborations between NASA and private industry. In October 2007, a grant from the USA National Science Foundation (NSF) Office of Cyberinfrastructure allowed us to transition DataTurbine from a proprietary software product into an open source software initiative. This paper describes the DataTurbine software and highlights key applications in environmental monitoring.
PACS for Bhutan: a cost effective open source architecture for emerging countries.
Ratib, Osman; Roduit, Nicolas; Nidup, Dechen; De Geer, Gerard; Rosset, Antoine; Geissbuhler, Antoine
2016-10-01
This paper reports the design and implementation of an innovative and cost-effective imaging management infrastructure suitable for radiology centres in emerging countries. It was implemented in the main referring hospital of Bhutan equipped with a CT, an MRI, digital radiology, and a suite of several ultrasound units. They lacked the necessary informatics infrastructure for image archiving and interpretation and needed a system for distribution of images to clinical wards. The solution developed for this project combines several open source software platforms in a robust and versatile archiving and communication system connected to analysis workstations equipped with a FDA-certified version of the highly popular Open-Source software. The whole system was implemented on standard off-the-shelf hardware. The system was installed in three days, and training of the radiologists as well as the technical and IT staff was provided onsite to ensure full ownership of the system by the local team. Radiologists were rapidly capable of reading and interpreting studies on the diagnostic workstations, which had a significant benefit on their workflow and ability to perform diagnostic tasks more efficiently. Furthermore, images were also made available to several clinical units on standard desktop computers through a web-based viewer. • Open source imaging informatics platforms can provide cost-effective alternatives for PACS • Robust and cost-effective open architecture can provide adequate solutions for emerging countries • Imaging informatics is often lacking in hospitals equipped with digital modalities.
[GNU Pattern: open source pattern hunter for biological sequences based on SPLASH algorithm].
Xu, Ying; Li, Yi-xue; Kong, Xiang-yin
2005-06-01
To construct a high performance open source software engine based on IBM SPLASH algorithm for later research on pattern discovery. Gpat, which is based on SPLASH algorithm, was developed by using open source software. GNU Pattern (Gpat) software was developped, which efficiently implemented the core part of SPLASH algorithm. Full source code of Gpat was also available for other researchers to modify the program under the GNU license. Gpat is a successful implementation of SPLASH algorithm and can be used as a basic framework for later research on pattern recognition in biological sequences.
Improving Data Catalogs with Free and Open Source Software
NASA Astrophysics Data System (ADS)
Schweitzer, R.; Hankin, S.; O'Brien, K.
2013-12-01
The Global Earth Observation Integrated Data Environment (GEO-IDE) is NOAA's effort to successfully integrate data and information with partners in the national US-Global Earth Observation System (US-GEO) and the international Global Earth Observation System of Systems (GEOSS). As part of the GEO-IDE, the Unified Access Framework (UAF) is working to build momentum towards the goal of increased data integration and interoperability. The UAF project is moving towards this goal with an approach that includes leveraging well known and widely used standards, as well as free and open source software. The UAF project shares the widely held conviction that the use of data standards is a key ingredient necessary to achieve interoperability. Many community-based consensus standards fail, though, due to poor compliance. Compliance problems emerge for many reasons: because the standards evolve through versions, because documentation is ambiguous or because individual data providers find the standard inadequate as-is to meet their special needs. In addition, minimalist use of standards will lead to a compliant service, but one which is of low quality. In this presentation, we will be discussing the UAF effort to build a catalog cleaning tool which is designed to crawl THREDDS catalogs, analyze the data available, and then build a 'clean' catalog of data which is standards compliant and has a uniform set of data access services available. These data services include, among others, OPeNDAP, Web Coverage Service (WCS) and Web Mapping Service (WMS). We will also discuss how we are utilizing free and open source software and services to both crawl, analyze and build the clean data catalog, as well as our efforts to help data providers improve their data catalogs. We'll discuss the use of open source software such as DataNucleus, Thematic Realtime Environmental Distributed Data Services (THREDDS), ncISO and the netCDF Java Common Data Model (CDM). We'll also demonstrate how we are using free services such as Google Charts to create an easily identifiable visual metaphor which describes the quality of data catalogs. Using this rubric, in conjunction with the ncISO metadata quality rubric, will allow data providers to identify non-compliance issues in their data catalogs, thereby improving data availability to their users and to data discovery systems
Open source hardware and software platform for robotics and artificial intelligence applications
NASA Astrophysics Data System (ADS)
Liang, S. Ng; Tan, K. O.; Lai Clement, T. H.; Ng, S. K.; Mohammed, A. H. Ali; Mailah, Musa; Azhar Yussof, Wan; Hamedon, Zamzuri; Yussof, Zulkifli
2016-02-01
Recent developments in open source hardware and software platforms (Android, Arduino, Linux, OpenCV etc.) have enabled rapid development of previously expensive and sophisticated system within a lower budget and flatter learning curves for developers. Using these platform, we designed and developed a Java-based 3D robotic simulation system, with graph database, which is integrated in online and offline modes with an Android-Arduino based rubbish picking remote control car. The combination of the open source hardware and software system created a flexible and expandable platform for further developments in the future, both in the software and hardware areas, in particular in combination with graph database for artificial intelligence, as well as more sophisticated hardware, such as legged or humanoid robots.
ERIC Educational Resources Information Center
van Rooij, Shahron Williams
2009-01-01
Higher Education institutions in the United States are considering Open Source software applications such as the Moodle and Sakai course management systems and the Kuali financial system to build integrated learning environments that serve both academic and administrative needs. Open Source is presumed to be more flexible and less costly than…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Thomas, Gregory S.; Nickless, William K.; Thiede, David R.
Enterprise level cyber security requires the deployment, operation, and monitoring of many sensors across geographically dispersed sites. Communicating with the sensors to gather data and control behavior is a challenging task when the number of sensors is rapidly growing. This paper describes the system requirements, design, and implementation of T3, the third generation of our transport software that performs this task. T3 relies on open source software and open Internet standards. Data is encoded in MIME format messages and transported via NNTP, which provides scalability. OpenSSL and public key cryptography are used to secure the data. Robustness and ease ofmore » development are increased by defining an internal cryptographic API, implemented by modules in C, Perl, and Python. We are currently using T3 in a production environment. It is freely available to download and use for other projects.« less
Experience of public procurement of Open Compute servers
NASA Astrophysics Data System (ADS)
Bärring, Olof; Guerri, Marco; Bonfillou, Eric; Valsan, Liviu; Grigore, Alexandru; Dore, Vincent; Gentit, Alain; Clement, Benoît; Grossir, Anthony
2015-12-01
The Open Compute Project. OCP (http://www.opencompute.org/). was launched by Facebook in 2011 with the objective of building efficient computing infrastructures at the lowest possible cost. The technologies are released as open hardware. with the goal to develop servers and data centres following the model traditionally associated with open source software projects. In 2013 CERN acquired a few OCP servers in order to compare performance and power consumption with standard hardware. The conclusions were that there are sufficient savings to motivate an attempt to procure a large scale installation. One objective is to evaluate if the OCP market is sufficiently mature and broad enough to meet the constraints of a public procurement. This paper summarizes this procurement. which started in September 2014 and involved the Request for information (RFI) to qualify bidders and Request for Tender (RFT).
NASA Astrophysics Data System (ADS)
Fadakar Alghalandis, Younes
2017-05-01
Rapidly growing topic, the discrete fracture network engineering (DFNE), has already attracted many talents from diverse disciplines in academia and industry around the world to challenge difficult problems related to mining, geothermal, civil, oil and gas, water and many other projects. Although, there are few commercial software capable of providing some useful functionalities fundamental for DFNE, their costs, closed code (black box) distributions and hence limited programmability and tractability encouraged us to respond to this rising demand with a new solution. This paper introduces an open source comprehensive software package for stochastic modeling of fracture networks in two- and three-dimension in discrete formulation. Functionalities included are geometric modeling (e.g., complex polygonal fracture faces, and utilizing directional statistics), simulations, characterizations (e.g., intersection, clustering and connectivity analyses) and applications (e.g., fluid flow). The package is completely written in Matlab scripting language. Significant efforts have been made to bring maximum flexibility to the functions in order to solve problems in both two- and three-dimensions in an easy and united way that is suitable for beginners, advanced and experienced users.
LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data.
Kyle, Jennifer E; Crowell, Kevin L; Casey, Cameron P; Fujimoto, Grant M; Kim, Sangtae; Dautel, Sydney E; Smith, Richard D; Payne, Samuel H; Metz, Thomas O
2017-06-01
We introduce an open-source software, LIQUID, for semi-automated processing and visualization of LC-MS/MS-based lipidomics data. LIQUID provides users with the capability to process high throughput data and contains a customizable target library and scoring model per project needs. The graphical user interface provides visualization of multiple lines of spectral evidence for each lipid identification, allowing rapid examination of data for making confident identifications of lipid molecular species. LIQUID was compared to other freely available software commonly used to identify lipids and other small molecules (e.g. CFM-ID, MetFrag, GNPS, LipidBlast and MS-DIAL), and was found to have a faster processing time to arrive at a higher number of validated lipid identifications. LIQUID is available at http://github.com/PNNL-Comp-Mass-Spec/LIQUID . jennifer.kyle@pnnl.gov or thomas.metz@pnnl.gov. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com
Open-source meteor detection software for low-cost single-board computers
NASA Astrophysics Data System (ADS)
Vida, D.; Zubović, D.; Šegon, D.; Gural, P.; Cupec, R.
2016-01-01
This work aims to overcome the current price threshold of meteor stations which can sometimes deter meteor enthusiasts from owning one. In recent years small card-sized computers became widely available and are used for numerous applications. To utilize such computers for meteor work, software which can run on them is needed. In this paper we present a detailed description of newly-developed open-source software for fireball and meteor detection optimized for running on low-cost single board computers. Furthermore, an update on the development of automated open-source software which will handle video capture, fireball and meteor detection, astrometry and photometry is given.
PYTHON for Variable Star Astronomy (Abstract)
NASA Astrophysics Data System (ADS)
Craig, M.
2018-06-01
(Abstract only) Open source PYTHON packages that are useful for data reduction, photometry, and other tasks relevant to variable star astronomy have been developed over the last three to four years as part of the Astropy project. Using this software, it is relatively straightforward to reduce images, automatically detect sources, and match them to catalogs. Over the last year browser-based tools for performing some of those tasks have been developed that minimize or eliminate the need to write any of your own code. After providing an overview of the current state of the software, an application that calculates transformation coefficients on a frame-by-frame basis by matching stars in an image to the APASS catalog will be described.
Evaluation of Open-Source Hard Real Time Software Packages
NASA Technical Reports Server (NTRS)
Mattei, Nicholas S.
2004-01-01
Reliable software is, at times, hard to find. No piece of software can be guaranteed to work in every situation that may arise during its use here at Glenn Research Center or in space. The job of the Software Assurance (SA) group in the Risk Management Office is to rigorously test the software in an effort to ensure it matches the contract specifications. In some cases the SA team also researches new alternatives for selected software packages. This testing and research is an integral part of the department of Safety and Mission Assurance. Real Time operation in reference to a computer system is a particular style of handing the timing and manner with which inputs and outputs are handled. A real time system executes these commands and appropriate processing within a defined timing constraint. Within this definition there are two other classifications of real time systems: hard and soft. A soft real time system is one in which if the particular timing constraints are not rigidly met there will be no critical results. On the other hand, a hard real time system is one in which if the timing constraints are not met the results could be catastrophic. An example of a soft real time system is a DVD decoder. If the particular piece of data from the input is not decoded and displayed to the screen at exactly the correct moment nothing critical will become of it, the user may not even notice it. However, a hard real time system is needed to control the timing of fuel injections or steering on the Space Shuttle; a delay of even a fraction of a second could be catastrophic in such a complex system. The current real time system employed by most NASA projects is Wind River's VxWorks operating system. This is a proprietary operating system that can be configured to work with many of NASA s needs and it provides very accurate and reliable hard real time performance. The down side is that since it is a proprietary operating system it is also costly to implement. The prospect of replacing this somewhat costly implementation is the focus of one of the SA group s current research projects. The explosion of open source software in the last ten years has led to the development of a multitude of software solutions which were once only produced by major corporations. The benefits of these open projects include faster release and bug patching cycles as well as inexpensive if not free software solutions. The main packages for hard real time solutions under Linux are Real Time Application Interface (RTAI) and two varieties of Real Time Linux (RTL), RTLFree and RTLPro. During my time here at NASA I have been testing various hard real time solutions operating as layers on the Linux Operating System. All testing is being run on an Intel SBC 2590 which is a common embedded hardware platform. The test plan was provided to me by the Software Assurance group at the start of my internship and my job has been to test the systems by developing and executing the test cases on the hardware. These tests are constructed so that the Software Assurance group can get hard test data for a comparison between the open source and proprietary implementations of hard real time solutions.
Security of patient data when decommissioning ultrasound systems
2017-01-01
Background Although ultrasound systems generally archive to Picture Archiving and Communication Systems (PACS), their archiving workflow typically involves storage to an internal hard disk before data are transferred onwards. Deleting records from the local system will delete entries in the database and from the file allocation table or equivalent but, as with a PC, files can be recovered. Great care is taken with disposal of media from a healthcare organisation to prevent data breaches, but ultrasound systems are routinely returned to lease companies, sold on or donated to third parties without such controls. Methods In this project, five methods of hard disk erasure were tested on nine ultrasound systems being decommissioned: the system’s own delete function; full reinstallation of system software; the manufacturer’s own disk wiping service; open source disk wiping software for full and just blank space erasure. Attempts were then made to recover data using open source recovery tools. Results All methods deleted patient data as viewable from the ultrasound system and from browsing the disk from a PC. However, patient identifiable data (PID) could be recovered following the system’s own deletion and the reinstallation methods. No PID could be recovered after using the manufacturer’s wiping service or the open source wiping software. Conclusion The typical method of reinstalling an ultrasound system’s software may not prevent PID from being recovered. When transferring ownership, care should be taken that an ultrasound system’s hard disk has been wiped to a sufficient level, particularly if the scanner is to be returned with approved parts and in a fully working state. PMID:28228821
Ludwig, Kai; Speiser, Bernd
2004-01-01
We describe a modeling software component Ecco, implemented in the C++ programming language. It assists in the formulation of physicochemical systems including, in particular, electrochemical processes within general geometries. Ecco's kinetic part then translates any user defined reaction mechanism into an object-oriented representation and generates the according mathematical model equations. The input language, its grammar, the object-oriented design of Ecco, based on design patterns, and its integration into the open source software project EChem++ are discussed. Application Strategies are given.
The design and construction of a cost-efficient confocal laser scanning microscope
NASA Astrophysics Data System (ADS)
Xi, Peng; Rajwa, Bartlomiej; Jones, James T.; Robinson, J. Paul
2007-03-01
The optical dissection ability of confocal microscopy makes it a powerful tool for biological materials. However, the cost and complexity of confocal scanning laser microscopy hinders its wide application in education. We describe the construction of a simplified confocal scanning laser microscope and demonstrate three-dimensional projection based on cost-efficient commercial hardware, together with available open source software.
Using Open Source Software in Visual Simulation Development
2005-09-01
increased the use of the technology in training activities. Using open source/free software tools in the process can expand these possibilities...resulting in even greater cost reduction and allowing the flexibility needed in a training environment. This thesis presents a configuration and architecture...to be used when developing training visual simulations using both personal computers and open source tools. Aspects of the requirements needed in a
What an open source clinical trial community can learn from hackers
Dunn, Adam G.; Day, Richard O.; Mandl, Kenneth D.; Coiera, Enrico
2014-01-01
Summary Open sharing of clinical trial data has been proposed as a way to address the gap between the production of clinical evidence and the decision-making of physicians. Since a similar gap has already been addressed in the software industry by the open source software movement, we examine how the social and technical principles of the movement can be used to guide the growth of an open source clinical trial community. PMID:22553248
GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor.
Davis, Sean; Meltzer, Paul S
2007-07-15
Microarray technology has become a standard molecular biology tool. Experimental data have been generated on a huge number of organisms, tissue types, treatment conditions and disease states. The Gene Expression Omnibus (Barrett et al., 2005), developed by the National Center for Bioinformatics (NCBI) at the National Institutes of Health is a repository of nearly 140,000 gene expression experiments. The BioConductor project (Gentleman et al., 2004) is an open-source and open-development software project built in the R statistical programming environment (R Development core Team, 2005) for the analysis and comprehension of genomic data. The tools contained in the BioConductor project represent many state-of-the-art methods for the analysis of microarray and genomics data. We have developed a software tool that allows access to the wealth of information within GEO directly from BioConductor, eliminating many the formatting and parsing problems that have made such analyses labor-intensive in the past. The software, called GEOquery, effectively establishes a bridge between GEO and BioConductor. Easy access to GEO data from BioConductor will likely lead to new analyses of GEO data using novel and rigorous statistical and bioinformatic tools. Facilitating analyses and meta-analyses of microarray data will increase the efficiency with which biologically important conclusions can be drawn from published genomic data. GEOquery is available as part of the BioConductor project.
Scalable computing for evolutionary genomics.
Prins, Pjotr; Belhachemi, Dominique; Möller, Steffen; Smant, Geert
2012-01-01
Genomic data analysis in evolutionary biology is becoming so computationally intensive that analysis of multiple hypotheses and scenarios takes too long on a single desktop computer. In this chapter, we discuss techniques for scaling computations through parallelization of calculations, after giving a quick overview of advanced programming techniques. Unfortunately, parallel programming is difficult and requires special software design. The alternative, especially attractive for legacy software, is to introduce poor man's parallelization by running whole programs in parallel as separate processes, using job schedulers. Such pipelines are often deployed on bioinformatics computer clusters. Recent advances in PC virtualization have made it possible to run a full computer operating system, with all of its installed software, on top of another operating system, inside a "box," or virtual machine (VM). Such a VM can flexibly be deployed on multiple computers, in a local network, e.g., on existing desktop PCs, and even in the Cloud, to create a "virtual" computer cluster. Many bioinformatics applications in evolutionary biology can be run in parallel, running processes in one or more VMs. Here, we show how a ready-made bioinformatics VM image, named BioNode, effectively creates a computing cluster, and pipeline, in a few steps. This allows researchers to scale-up computations from their desktop, using available hardware, anytime it is required. BioNode is based on Debian Linux and can run on networked PCs and in the Cloud. Over 200 bioinformatics and statistical software packages, of interest to evolutionary biology, are included, such as PAML, Muscle, MAFFT, MrBayes, and BLAST. Most of these software packages are maintained through the Debian Med project. In addition, BioNode contains convenient configuration scripts for parallelizing bioinformatics software. Where Debian Med encourages packaging free and open source bioinformatics software through one central project, BioNode encourages creating free and open source VM images, for multiple targets, through one central project. BioNode can be deployed on Windows, OSX, Linux, and in the Cloud. Next to the downloadable BioNode images, we provide tutorials online, which empower bioinformaticians to install and run BioNode in different environments, as well as information for future initiatives, on creating and building such images.
Open Drug Discovery Toolkit (ODDT): a new open-source player in the drug discovery field.
Wójcikowski, Maciej; Zielenkiewicz, Piotr; Siedlecki, Pawel
2015-01-01
There has been huge progress in the open cheminformatics field in both methods and software development. Unfortunately, there has been little effort to unite those methods and software into one package. We here describe the Open Drug Discovery Toolkit (ODDT), which aims to fulfill the need for comprehensive and open source drug discovery software. The Open Drug Discovery Toolkit was developed as a free and open source tool for both computer aided drug discovery (CADD) developers and researchers. ODDT reimplements many state-of-the-art methods, such as machine learning scoring functions (RF-Score and NNScore) and wraps other external software to ease the process of developing CADD pipelines. ODDT is an out-of-the-box solution designed to be easily customizable and extensible. Therefore, users are strongly encouraged to extend it and develop new methods. We here present three use cases for ODDT in common tasks in computer-aided drug discovery. Open Drug Discovery Toolkit is released on a permissive 3-clause BSD license for both academic and industrial use. ODDT's source code, additional examples and documentation are available on GitHub (https://github.com/oddt/oddt).
The role of open-source software in innovation and standardization in radiology.
Erickson, Bradley J; Langer, Steve; Nagy, Paul
2005-11-01
The use of open-source software (OSS), in which developers release the source code to applications they have developed, is popular in the software industry. This is done to allow others to modify and improve software (which may or may not be shared back to the community) and to allow others to learn from the software. Radiology was an early participant in this model, supporting OSS that implemented the ACR-National Electrical Manufacturers Association (now Digital Imaging and Communications in Medicine) standard for medical image communications. In radiology and in other fields, OSS has promoted innovation and the adoption of standards. Popular OSS is of high quality because access to source code allows many people to identify and resolve errors. Open-source software is analogous to the peer-review scientific process: one must be able to see and reproduce results to understand and promote what is shared. The authors emphasize that support for OSS need not threaten vendors; most vendors embrace and benefit from standards. Open-source development does not replace vendors but more clearly defines their roles, typically focusing on areas in which proprietary differentiators benefit customers and on professional services such as implementation planning and service. Continued support for OSS is essential for the success of our field.
NASA Astrophysics Data System (ADS)
Darch, Peter T.; Sands, Ashley E.
2016-06-01
Sky surveys, such as the Sloan Digital Sky Survey (SDSS) and the Large Synoptic Survey Telescope (LSST), generate data on an unprecedented scale. While many scientific projects span a few years from conception to completion, sky surveys are typically on the scale of decades. This paper focuses on critical challenges arising from long timescales, and how sky surveys address these challenges.We present findings from a study of LSST, comprising interviews (n=58) and observation. Conceived in the 1990s, the LSST Corporation was formed in 2003, and construction began in 2014. LSST will commence data collection operations in 2022 for ten years.One challenge arising from this long timescale is uncertainty about future needs of the astronomers who will use these data many years hence. Sources of uncertainty include scientific questions to be posed, astronomical phenomena to be studied, and tools and practices these astronomers will have at their disposal. These uncertainties are magnified by the rapid technological and scientific developments anticipated between now and the start of LSST operations.LSST is implementing a range of strategies to address these challenges. Some strategies involve delaying resolution of uncertainty, placing this resolution in the hands of future data users. Other strategies aim to reduce uncertainty by shaping astronomers’ data analysis practices so that these practices will integrate well with LSST once operations begin.One approach that exemplifies both types of strategy is the decision to make LSST data management software open source, even now as it is being developed. This policy will enable future data users to adapt this software to evolving needs. In addition, LSST intends for astronomers to start using this software well in advance of 2022, thereby embedding LSST software and data analysis approaches in the practices of astronomers.These findings strengthen arguments for making the software supporting sky surveys available as open source. Such arguments usually focus on reuse potential of software, and enhancing replicability of analyses. In this case, however, open source software also promises to mitigate the critical challenge of anticipating the needs of future data users.
NASA Astrophysics Data System (ADS)
Melton, R.; Thomas, J.
With the rapid growth in the number of space actors, there has been a marked increase in the complexity and diversity of software systems utilized to support SSA target tracking, indication, warning, and collision avoidance. Historically, most SSA software has been constructed with "closed" proprietary code, which limits interoperability, inhibits the code transparency that some SSA customers need to develop domain expertise, and prevents the rapid injection of innovative concepts into these systems. Open-source aerospace software, a rapidly emerging, alternative trend in code development, is based on open collaboration, which has the potential to bring greater transparency, interoperability, flexibility, and reduced development costs. Open-source software is easily adaptable, geared to rapidly changing mission needs, and can generally be delivered at lower costs to meet mission requirements. This paper outlines Ball's COSMOS C2 system, a fully open-source, web-enabled, command-and-control software architecture which provides several unique capabilities to move the current legacy SSA software paradigm to an open source model that effectively enables pre- and post-launch asset command and control. Among the unique characteristics of COSMOS is the ease with which it can integrate with diverse hardware. This characteristic enables COSMOS to serve as the command-and-control platform for the full life-cycle development of SSA assets, from board test, to box test, to system integration and test, to on-orbit operations. The use of a modern scripting language, Ruby, also permits automated procedures to provide highly complex decision making for the tasking of SSA assets based on both telemetry data and data received from outside sources. Detailed logging enables quick anomaly detection and resolution. Integrated real-time and offline data graphing renders the visualization of the both ground and on-orbit assets simple and straightforward.
Maintaining Quality and Confidence in Open-Source, Evolving Software: Lessons Learned with PFLOTRAN
NASA Astrophysics Data System (ADS)
Frederick, J. M.; Hammond, G. E.
2017-12-01
Software evolution in an open-source framework poses a major challenge to a geoscientific simulator, but when properly managed, the pay-off can be enormous for both the developers and the community at large. Developers must juggle implementing new scientific process models, adopting increasingly efficient numerical methods and programming paradigms, changing funding sources (or total lack of funding), while also ensuring that legacy code remains functional and reported bugs are fixed in a timely manner. With robust software engineering and a plan for long-term maintenance, a simulator can evolve over time incorporating and leveraging many advances in the computational and domain sciences. In this positive light, what practices in software engineering and code maintenance can be employed within open-source development to maximize the positive aspects of software evolution and community contributions while minimizing its negative side effects? This presentation will discusses steps taken in the development of PFLOTRAN (www.pflotran.org), an open source, massively parallel subsurface simulator for multiphase, multicomponent, and multiscale reactive flow and transport processes in porous media. As PFLOTRAN's user base and development team continues to grow, it has become increasingly important to implement strategies which ensure sustainable software development while maintaining software quality and community confidence. In this presentation, we will share our experiences and "lessons learned" within the context of our open-source development framework and community engagement efforts. Topics discussed will include how we've leveraged both standard software engineering principles, such as coding standards, version control, and automated testing, as well unique advantages of object-oriented design in process model coupling, to ensure software quality and confidence. We will also be prepared to discuss the major challenges faced by most open-source software teams, such as on-boarding new developers or one-time contributions, dealing with competitors or lookie-loos, and other downsides of complete transparency, as well as our approach to community engagement, including a user group email list, hosting short courses and workshops for new users, and maintaining a website. SAND2017-8174A
Understanding How the "Open" of Open Source Software (OSS) Will Improve Global Health Security.
Hahn, Erin; Blazes, David; Lewis, Sheri
2016-01-01
Improving global health security will require bold action in all corners of the world, particularly in developing settings, where poverty often contributes to an increase in emerging infectious diseases. In order to mitigate the impact of emerging pandemic threats, enhanced disease surveillance is needed to improve early detection and rapid response to outbreaks. However, the technology to facilitate this surveillance is often unattainable because of high costs, software and hardware maintenance needs, limited technical competence among public health officials, and internet connectivity challenges experienced in the field. One potential solution is to leverage open source software, a concept that is unfortunately often misunderstood. This article describes the principles and characteristics of open source software and how it may be applied to solve global health security challenges.
Software Management for the NOνAExperiment
NASA Astrophysics Data System (ADS)
Davies, G. S.; Davies, J. P.; C Group; Rebel, B.; Sachdev, K.; Zirnstein, J.
2015-12-01
The NOvAsoftware (NOνASoft) is written in C++, and built on the Fermilab Computing Division's art framework that uses ROOT analysis software. NOνASoftmakes use of more than 50 external software packages, is developed by more than 50 developers and is used by more than 100 physicists from over 30 universities and laboratories in 3 continents. The software builds are handled by Fermilab's custom version of Software Release Tools (SRT), a UNIX based software management system for large, collaborative projects that is used by several experiments at Fermilab. The system provides software version control with SVN configured in a client-server mode and is based on the code originally developed by the BaBar collaboration. In this paper, we present efforts towards distributing the NOvA software via the CernVM File System distributed file system. We will also describe our recent work to use a CMake build system and Jenkins, the open source continuous integration system, for NOνASoft.
Open Source and Design Thinking at NASA: A Vision for Future Software
NASA Technical Reports Server (NTRS)
Trimble, Jay
2017-01-01
NASA Mission Control Software for the Visualization of data has historically been closed, accessible only to small groups of flight controllers, often bound to a specific mission discipline such as flight dynamics, health and status or mission planning. Open Mission Control Technologies (MCT) provides new capability for NASA mission controllers and, by being fully open source, opens up NASA software for the visualization of mission data to broader communities inside and outside of NASA. Open MCT is the product of a design thinking process within NASA, using participatory design and design sprints to build a product that serves users.
Software Attribution for Geoscience Applications in the Computational Infrastructure for Geodynamics
NASA Astrophysics Data System (ADS)
Hwang, L.; Dumit, J.; Fish, A.; Soito, L.; Kellogg, L. H.; Smith, M.
2015-12-01
Scientific software is largely developed by individual scientists and represents a significant intellectual contribution to the field. As the scientific culture and funding agencies move towards an expectation that software be open-source, there is a corresponding need for mechanisms to cite software, both to provide credit and recognition to developers, and to aid in discoverability of software and scientific reproducibility. We assess the geodynamic modeling community's current citation practices by examining more than 300 predominantly self-reported publications utilizing scientific software in the past 5 years that is available through the Computational Infrastructure for Geodynamics (CIG). Preliminary results indicate that authors cite and attribute software either through citing (in rank order) peer-reviewed scientific publications, a user's manual, and/or a paper describing the software code. Attributions maybe found directly in the text, in acknowledgements, in figure captions, or in footnotes. What is considered citable varies widely. Citations predominantly lack software version numbers or persistent identifiers to find the software package. Versioning may be implied through reference to a versioned user manual. Authors sometimes report code features used and whether they have modified the code. As an open-source community, CIG requests that researchers contribute their modifications to the repository. However, such modifications may not be contributed back to a repository code branch, decreasing the chances of discoverability and reproducibility. Survey results through CIG's Software Attribution for Geoscience Applications (SAGA) project suggest that lack of knowledge, tools, and workflows to cite codes are barriers to effectively implement the emerging citation norms. Generated on-demand attributions on software landing pages and a prototype extensible plug-in to automatically generate attributions in codes are the first steps towards reproducibility.
Exploring the Role of Value Networks for Software Innovation
NASA Astrophysics Data System (ADS)
Morgan, Lorraine; Conboy, Kieran
This paper describes a research-in-progress that aims to explore the applicability and implications of open innovation practices in two firms - one that employs agile development methods and another that utilizes open source software. The open innovation paradigm has a lot in common with open source and agile development methodologies. A particular strength of agile approaches is that they move away from 'introverted' development, involving only the development personnel, and intimately involves the customer in all areas of software creation, supposedly leading to the development of a more innovative and hence more valuable information system. Open source software (OSS) development also shares two key elements of the open innovation model, namely the collaborative development of the technology and shared rights to the use of the technology. However, one shortfall with agile development in particular is the narrow focus on a single customer representative. In response to this, we argue that current thinking regarding innovation needs to be extended to include multiple stakeholders both across and outside the organization. Additionally, for firms utilizing open source, it has been found that their position in a network of potential complementors determines the amount of superior value they create for their customers. Thus, this paper aims to get a better understanding of the applicability and implications of open innovation practices in firms that employ open source and agile development methodologies. In particular, a conceptual framework is derived for further testing.
Is There Such a Thing as Free Software? The Pros and Cons of Open-Source Software
ERIC Educational Resources Information Center
Trappler, Thomas J.
2009-01-01
Today's higher education environment is marked by heightened accountability and decreased budgets. In such an environment, no higher education institution can afford to ignore alternative approaches that could result in more effective and less costly solutions. Open-source software (OSS) can serve as a viable alternative to traditional proprietary…
SBSI: an extensible distributed software infrastructure for parameter estimation in systems biology.
Adams, Richard; Clark, Allan; Yamaguchi, Azusa; Hanlon, Neil; Tsorman, Nikos; Ali, Shakir; Lebedeva, Galina; Goltsov, Alexey; Sorokin, Anatoly; Akman, Ozgur E; Troein, Carl; Millar, Andrew J; Goryanin, Igor; Gilmore, Stephen
2013-03-01
Complex computational experiments in Systems Biology, such as fitting model parameters to experimental data, can be challenging to perform. Not only do they frequently require a high level of computational power, but the software needed to run the experiment needs to be usable by scientists with varying levels of computational expertise, and modellers need to be able to obtain up-to-date experimental data resources easily. We have developed a software suite, the Systems Biology Software Infrastructure (SBSI), to facilitate the parameter-fitting process. SBSI is a modular software suite composed of three major components: SBSINumerics, a high-performance library containing parallelized algorithms for performing parameter fitting; SBSIDispatcher, a middleware application to track experiments and submit jobs to back-end servers; and SBSIVisual, an extensible client application used to configure optimization experiments and view results. Furthermore, we have created a plugin infrastructure to enable project-specific modules to be easily installed. Plugin developers can take advantage of the existing user-interface and application framework to customize SBSI for their own uses, facilitated by SBSI's use of standard data formats. All SBSI binaries and source-code are freely available from http://sourceforge.net/projects/sbsi under an Apache 2 open-source license. The server-side SBSINumerics runs on any Unix-based operating system; both SBSIVisual and SBSIDispatcher are written in Java and are platform independent, allowing use on Windows, Linux and Mac OS X. The SBSI project website at http://www.sbsi.ed.ac.uk provides documentation and tutorials.
EarthCollab, building geoscience-centric implementations of the VIVO semantic software suite
NASA Astrophysics Data System (ADS)
Rowan, L. R.; Gross, M. B.; Mayernik, M. S.; Daniels, M. D.; Krafft, D. B.; Kahn, H. J.; Allison, J.; Snyder, C. B.; Johns, E. M.; Stott, D.
2017-12-01
EarthCollab, an EarthCube Building Block project, is extending an existing open-source semantic web application, VIVO, to enable the exchange of information about scientific researchers and resources across institutions. EarthCollab is a collaboration between UNAVCO, a geodetic facility and consortium that supports diverse research projects informed by geodesy, The Bering Sea Project, an interdisciplinary field program whose data archive is hosted by NCAR's Earth Observing Laboratory, and Cornell University. VIVO has been implemented by more than 100 universities and research institutions to highlight research and institutional achievements. This presentation will discuss benefits and drawbacks of working with and extending open source software. Some extensions include plotting georeferenced objects on a map, a mobile-friendly theme, integration of faceting via Elasticsearch, extending the VIVO ontology to capture geoscience-centric objects and relationships, and the ability to cross-link between VIVO instances. Most implementations of VIVO gather information about a single organization. The EarthCollab project created VIVO extensions to enable cross-linking of VIVO instances to reduce the amount of duplicate information about the same people and scientific resources and to enable dynamic linking of related information across VIVO installations. As the list of customizations grows, so does the effort required to maintain compatibility between the EarthCollab forks and the main VIVO code. For example, dozens of libraries and dependencies were updated prior to the VIVO v1.10 release, which introduced conflicts in the EarthCollab cross-linking code. The cross-linking code has been developed to enable sharing of data across different versions of VIVO, however, using a JSON output schema standardized across versions. We will outline lessons learned in working with VIVO and its open source dependencies, which include Jena, Solr, Freemarker, and jQuery and discuss future work by EarthCollab, which includes refining the cross-linking VIVO capabilities by continued integration of persistent and unique identifiers to enable automated lookup and matching across institutional VIVOs.
Birney, E; Andrews, D; Bevan, P; Caccamo, M; Cameron, G; Chen, Y; Clarke, L; Coates, G; Cox, T; Cuff, J; Curwen, V; Cutts, T; Down, T; Durbin, R; Eyras, E; Fernandez-Suarez, X M; Gane, P; Gibbins, B; Gilbert, J; Hammond, M; Hotz, H; Iyer, V; Kahari, A; Jekosch, K; Kasprzyk, A; Keefe, D; Keenan, S; Lehvaslaiho, H; McVicker, G; Melsopp, C; Meidl, P; Mongin, E; Pettett, R; Potter, S; Proctor, G; Rae, M; Searle, S; Slater, G; Smedley, D; Smith, J; Spooner, W; Stabenau, A; Stalker, J; Storey, R; Ureta-Vidal, A; Woodwark, C; Clamp, M; Hubbard, T
2004-01-01
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organize biology around the sequences of large genomes. It is a comprehensive and integrated source of annotation of large genome sequences, available via interactive website, web services or flat files. As well as being one of the leading sources of genome annotation, Ensembl is an open source software engineering project to develop a portable system able to handle very large genomes and associated requirements. The facilities of the system range from sequence analysis to data storage and visualization and installations exist around the world both in companies and at academic sites. With a total of nine genome sequences available from Ensembl and more genomes to follow, recent developments have focused mainly on closer integration between genomes and external data.
The AR Sandbox: Augmented Reality in Geoscience Education
NASA Astrophysics Data System (ADS)
Kreylos, O.; Kellogg, L. H.; Reed, S.; Hsi, S.; Yikilmaz, M. B.; Schladow, G.; Segale, H.; Chan, L.
2016-12-01
The AR Sandbox is a combination of a physical box full of sand, a 3D (depth) camera such as a Microsoft Kinect, a data projector, and a computer running open-source software, creating a responsive and interactive system to teach geoscience concepts in formal or informal contexts. As one or more users shape the sand surface to create planes, hills, or valleys, the 3D camera scans the surface in real-time, the software creates a dynamic topographic map including elevation color maps and contour lines, and the projector projects that map back onto the sand surface such that real and projected features match exactly. In addition, users can add virtual water to the sandbox, which realistically flows over the real surface driven by a real-time fluid flow simulation. The AR Sandbox can teach basic geographic and hydrologic skills and concepts such as reading topographic maps, interpreting contour lines, formation of watersheds, flooding, or surface wave propagation in a hands-on and explorative manner. AR Sandbox installations in more than 150 institutions have shown high audience engagement and long dwell times of often 20 minutes and more. In a more formal context, the AR Sandbox can be used in field trip preparation, and can teach advanced geoscience skills such as extrapolating 3D sub-surface shapes from surface expression, via advanced software features such as the ability to load digital models of real landscapes and guiding users towards recreating them in the sandbox. Blueprints, installation instructions, and the open-source AR Sandbox software package are available at http://arsandbox.org .
Simrank: Rapid and sensitive general-purpose k-mer search tool
2011-01-01
Background Terabyte-scale collections of string-encoded data are expected from consortia efforts such as the Human Microbiome Project http://nihroadmap.nih.gov/hmp. Intra- and inter-project data similarity searches are enabled by rapid k-mer matching strategies. Software applications for sequence database partitioning, guide tree estimation, molecular classification and alignment acceleration have benefited from embedded k-mer searches as sub-routines. However, a rapid, general-purpose, open-source, flexible, stand-alone k-mer tool has not been available. Results Here we present a stand-alone utility, Simrank, which allows users to rapidly identify database strings the most similar to query strings. Performance testing of Simrank and related tools against DNA, RNA, protein and human-languages found Simrank 10X to 928X faster depending on the dataset. Conclusions Simrank provides molecular ecologists with a high-throughput, open source choice for comparing large sequence sets to find similarity. PMID:21524302
Sanchez-Parcerisa, Daniel; Udías, Jose
2018-05-12
Open-source, MATLAB-based treatment planning systems FoCa and matRAD were used in a pilot project for training prospective medical physicists and postgraduate physics students in treatment planning and beam modeling techniques for proton therapy. In the four exercises designed, students learnt how proton pencil beams are modeled and how dose is calculated in three-dimensional voxelized geometries, how pencil beam scanning plans (PBS) are constructed, the rationale behind the choice of spot spacing in patient plans, and the dosimetric differences between photon IMRT and proton PBS plans. Sixty students of two courses participated in the pilot project, with over 90% of satisfactory rating from student surveys. The pilot experience will certainly be continued. © 2018 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.
R classes and methods for SNP array data.
Scharpf, Robert B; Ruczinski, Ingo
2010-01-01
The Bioconductor project is an "open source and open development software project for the analysis and comprehension of genomic data" (1), primarily based on the R programming language. Infrastructure packages, such as Biobase, are maintained by Bioconductor core developers and serve several key roles to the broader community of Bioconductor software developers and users. In particular, Biobase introduces an S4 class, the eSet, for high-dimensional assay data. Encapsulating the assay data as well as meta-data on the samples, features, and experiment in the eSet class definition ensures propagation of the relevant sample and feature meta-data throughout an analysis. Extending the eSet class promotes code reuse through inheritance as well as interoperability with other R packages and is less error-prone. Recently proposed class definitions for high-throughput SNP arrays extend the eSet class. This chapter highlights the advantages of adopting and extending Biobase class definitions through a working example of one implementation of classes for the analysis of high-throughput SNP arrays.
Technology collaboration by means of an open source government
NASA Astrophysics Data System (ADS)
Berardi, Steven M.
2009-05-01
The idea of open source software originally began in the early 1980s, but it never gained widespread support until recently, largely due to the explosive growth of the Internet. Only the Internet has made this kind of concept possible, bringing together millions of software developers from around the world to pool their knowledge. The tremendous success of open source software has prompted many corporations to adopt the culture of open source and thus share information they previously held secret. The government, and specifically the Department of Defense (DoD), could also benefit from adopting an open source culture. In acquiring satellite systems, the DoD often builds walls between program offices, but installing doors between programs can promote collaboration and information sharing. This paper addresses the challenges and consequences of adopting an open source culture to facilitate technology collaboration for DoD space acquisitions. DISCLAIMER: The views presented here are the views of the author, and do not represent the views of the United States Government, United States Air Force, or the Missile Defense Agency.
NASA Astrophysics Data System (ADS)
Villoria, Nelson B.; Elliott, Joshua; Müller, Christoph; Shin, Jaewoo; Zhao, Lan; Song, Carol
2018-01-01
Access to climate and spatial datasets by non-specialists is restricted by technical barriers involving hardware, software and data formats. We discuss an open-source online tool that facilitates downloading the climate data from the global circulation models used by the Inter-Sectoral Impacts Model Intercomparison Project. The tool also offers temporal and spatial aggregation capabilities for incorporating future climate scenarios in applications where spatial aggregation is important. We hope that streamlined access to these data facilitates analysis of climate related issues while considering the uncertainties derived from future climate projections and temporal aggregation choices.
ExpertEyes: open-source, high-definition eyetracking.
Parada, Francisco J; Wyatte, Dean; Yu, Chen; Akavipat, Ruj; Emerick, Brandi; Busey, Thomas
2015-03-01
ExpertEyes is a low-cost, open-source package of hardware and software that is designed to provide portable high-definition eyetracking. The project involves several technological innovations, including portability, high-definition video recording, and multiplatform software support. It was designed for challenging recording environments, and all processing is done offline to allow for optimization of parameter estimation. The pupil and corneal reflection are estimated using a novel forward eye model that simultaneously fits both the pupil and the corneal reflection with full ellipses, addressing a common situation in which the corneal reflection sits at the edge of the pupil and therefore breaks the contour of the ellipse. The accuracy and precision of the system are comparable to or better than what is available in commercial eyetracking systems, with a typical accuracy of less than 0.4° and best accuracy below 0.3°, and with a typical precision (SD method) around 0.3° and best precision below 0.2°. Part of the success of the system comes from a high-resolution eye image. The high image quality results from uncasing common digital camcorders and recording directly to SD cards, which avoids the limitations of the analog NTSC format. The software is freely downloadable, and complete hardware plans are available, along with sources for custom parts.
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets.
Clark, Alex M; Dole, Krishna; Coulon-Spektor, Anna; McNutt, Andrew; Grass, George; Freundlich, Joel S; Reynolds, Robert C; Ekins, Sean
2015-06-22
On the order of hundreds of absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) models have been described in the literature in the past decade which are more often than not inaccessible to anyone but their authors. Public accessibility is also an issue with computational models for bioactivity, and the ability to share such models still remains a major challenge limiting drug discovery. We describe the creation of a reference implementation of a Bayesian model-building software module, which we have released as an open source component that is now included in the Chemistry Development Kit (CDK) project, as well as implemented in the CDD Vault and in several mobile apps. We use this implementation to build an array of Bayesian models for ADME/Tox, in vitro and in vivo bioactivity, and other physicochemical properties. We show that these models possess cross-validation receiver operator curve values comparable to those generated previously in prior publications using alternative tools. We have now described how the implementation of Bayesian models with FCFP6 descriptors generated in the CDD Vault enables the rapid production of robust machine learning models from public data or the user's own datasets. The current study sets the stage for generating models in proprietary software (such as CDD) and exporting these models in a format that could be run in open source software using CDK components. This work also demonstrates that we can enable biocomputation across distributed private or public datasets to enhance drug discovery.
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery Datasets
2015-01-01
On the order of hundreds of absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) models have been described in the literature in the past decade which are more often than not inaccessible to anyone but their authors. Public accessibility is also an issue with computational models for bioactivity, and the ability to share such models still remains a major challenge limiting drug discovery. We describe the creation of a reference implementation of a Bayesian model-building software module, which we have released as an open source component that is now included in the Chemistry Development Kit (CDK) project, as well as implemented in the CDD Vault and in several mobile apps. We use this implementation to build an array of Bayesian models for ADME/Tox, in vitro and in vivo bioactivity, and other physicochemical properties. We show that these models possess cross-validation receiver operator curve values comparable to those generated previously in prior publications using alternative tools. We have now described how the implementation of Bayesian models with FCFP6 descriptors generated in the CDD Vault enables the rapid production of robust machine learning models from public data or the user’s own datasets. The current study sets the stage for generating models in proprietary software (such as CDD) and exporting these models in a format that could be run in open source software using CDK components. This work also demonstrates that we can enable biocomputation across distributed private or public datasets to enhance drug discovery. PMID:25994950
Developing Open Source Software To Advance High End Computing. Report to the President.
ERIC Educational Resources Information Center
National Coordination Office for Information Technology Research and Development, Arlington, VA.
This is part of a series of reports to the President and Congress developed by the President's Information Technology Advisory Committee (PITAC) on key contemporary issues in information technology. This report defines open source software, explains PITAC's interest in this model, describes the process used to investigate issues in open source…
2016-01-06
of- breed software components and software products lines (SPLs) that are subject to different IP license and cybersecurity requirements. The... commercially priced closed source software components, to be used in the design, implementation, deployment, and evolution of open architecture (OA... breed software components and software products lines (SPLs) that are subject to different IP license and cybersecurity requirements. The Department
Mercury: An Example of Effective Software Reuse for Metadata Management, Data Discovery and Access
NASA Astrophysics Data System (ADS)
Devarakonda, Ranjeet; Palanisamy, Giri; Green, James; Wilson, Bruce E.
2008-12-01
Mercury is a federated metadata harvesting, data discovery and access tool based on both open source packages and custom developed software. Though originally developed for NASA, the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury supports the reuse of metadata by enabling searching across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury provides a single portal to information contained in distributed data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. One of the major goals of the recent redesign of Mercury was to improve the software reusability across the 12 projects which currently fund the continuing development of Mercury. These projects span a range of land, atmosphere, and ocean ecological communities and have a number of common needs for metadata searches, but they also have a number of needs specific to one or a few projects. To balance these common and project-specific needs, Mercury's architecture has three major reusable components; a harvester engine, an indexing system and a user interface component. The harvester engine is responsible for harvesting metadata records from various distributed servers around the USA and around the world. The harvester software was packaged in such a way that all the Mercury projects will use the same harvester scripts but each project will be driven by a set of project specific configuration files. The harvested files are structured metadata records that are indexed against the search library API consistently, so that it can render various search capabilities such as simple, fielded, spatial and temporal. This backend component is supported by a very flexible, easy to use Graphical User Interface which is driven by cascading style sheets, which make it even simpler for reusable design implementation. The new Mercury system is based on a Service Oriented Architecture and effectively reuses components for various services such as Thesaurus Service, Gazetteer Web Service and UDDI Directory Services. The software also provides various search services including: RSS, Geo-RSS, OpenSearch, Web Services and Portlets, integrated shopping cart to order datasets from various data centers (ORNL DAAC, NSIDC) and integrated visualization tools. Other features include: Filtering and dynamic sorting of search results, book- markable search results, save, retrieve, and modify search criteria.
Mercury: An Example of Effective Software Reuse for Metadata Management, Data Discovery and Access
DOE Office of Scientific and Technical Information (OSTI.GOV)
Devarakonda, Ranjeet
2008-01-01
Mercury is a federated metadata harvesting, data discovery and access tool based on both open source packages and custom developed software. Though originally developed for NASA, the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury supports the reuse of metadata by enabling searching across a range of metadata specification and standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115. Mercury provides a single portal to information contained in distributed data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfacesmore » then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. One of the major goals of the recent redesign of Mercury was to improve the software reusability across the 12 projects which currently fund the continuing development of Mercury. These projects span a range of land, atmosphere, and ocean ecological communities and have a number of common needs for metadata searches, but they also have a number of needs specific to one or a few projects. To balance these common and project-specific needs, Mercury's architecture has three major reusable components; a harvester engine, an indexing system and a user interface component. The harvester engine is responsible for harvesting metadata records from various distributed servers around the USA and around the world. The harvester software was packaged in such a way that all the Mercury projects will use the same harvester scripts but each project will be driven by a set of project specific configuration files. The harvested files are structured metadata records that are indexed against the search library API consistently, so that it can render various search capabilities such as simple, fielded, spatial and temporal. This backend component is supported by a very flexible, easy to use Graphical User Interface which is driven by cascading style sheets, which make it even simpler for reusable design implementation. The new Mercury system is based on a Service Oriented Architecture and effectively reuses components for various services such as Thesaurus Service, Gazetteer Web Service and UDDI Directory Services. The software also provides various search services including: RSS, Geo-RSS, OpenSearch, Web Services and Portlets, integrated shopping cart to order datasets from various data centers (ORNL DAAC, NSIDC) and integrated visualization tools. Other features include: Filtering and dynamic sorting of search results, book- markable search results, save, retrieve, and modify search criteria.« less
Kajihata, Shuichi; Furusawa, Chikara; Matsuda, Fumio; Shimizu, Hiroshi
2014-01-01
The in vivo measurement of metabolic flux by (13)C-based metabolic flux analysis ((13)C-MFA) provides valuable information regarding cell physiology. Bioinformatics tools have been developed to estimate metabolic flux distributions from the results of tracer isotopic labeling experiments using a (13)C-labeled carbon source. Metabolic flux is determined by nonlinear fitting of a metabolic model to the isotopic labeling enrichment of intracellular metabolites measured by mass spectrometry. Whereas (13)C-MFA is conventionally performed under isotopically constant conditions, isotopically nonstationary (13)C metabolic flux analysis (INST-(13)C-MFA) has recently been developed for flux analysis of cells with photosynthetic activity and cells at a quasi-steady metabolic state (e.g., primary cells or microorganisms under stationary phase). Here, the development of a novel open source software for INST-(13)C-MFA on the Windows platform is reported. OpenMebius (Open source software for Metabolic flux analysis) provides the function of autogenerating metabolic models for simulating isotopic labeling enrichment from a user-defined configuration worksheet. Analysis using simulated data demonstrated the applicability of OpenMebius for INST-(13)C-MFA. Confidence intervals determined by INST-(13)C-MFA were less than those determined by conventional methods, indicating the potential of INST-(13)C-MFA for precise metabolic flux analysis. OpenMebius is the open source software for the general application of INST-(13)C-MFA.
System Advisor Model (SAM) General Description (Version 2017.9.5)
DOE Office of Scientific and Technical Information (OSTI.GOV)
Freeman, Janine M; DiOrio, Nicholas A; Blair, Nathan J
This document describes the capabilities of the System Advisor Model (SAM) developed and distributed by the U.S. Department of Energy's National Renewable Energy Laboratory. The document is for potential users and others wanting to learn about the model's capabilities. SAM is a techno-economic computer model that calculates performance and financial metrics of renewable energy projects. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of photovoltaic, concentrating solar power, solar water heating, wind, geothermal, biomass, andmore » conventional power systems. The financial models are for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (PPA). SAM's simulation tools facilitate parametric and sensitivity analyses, Monte Carlo simulation and weather variability (P50/P90) studies. SAM can also read input variables from Microsoft Excel worksheets. For software developers, the SAM software development kit (SDK) makes it possible to use SAM simulation modules in their applications written in C/C plus plus, C sharp, Java, Python, MATLAB, and other languages. NREL provides both SAM and the SDK as free downloads at https://sam.nrel.gov. SAM is an open source project, so its source code is available to the public. Researchers can study the code to understand the model algorithms, and software programmers can contribute their own models and enhancements to the project. Technical support and more information about the software are available on the website.« less
OnEarth: An Open Source Solution for Efficiently Serving High-Resolution Mapped Image Products
NASA Astrophysics Data System (ADS)
Thompson, C. K.; Plesea, L.; Hall, J. R.; Roberts, J. T.; Cechini, M. F.; Schmaltz, J. E.; Alarcon, C.; Huang, T.; McGann, J. M.; Chang, G.; Boller, R. A.; Ilavajhala, S.; Murphy, K. J.; Bingham, A. W.
2013-12-01
This presentation introduces OnEarth, a server side software package originally developed at the Jet Propulsion Laboratory (JPL), that facilitates network-based, minimum-latency geolocated image access independent of image size or spatial resolution. The key component in this package is the Meta Raster Format (MRF), a specialized raster file extension to the Geospatial Data Abstraction Library (GDAL) consisting of an internal indexed pyramid of image tiles. Imagery to be served is converted to the MRF format and made accessible online via an expandable set of server modules handling requests in several common protocols, including the Open Geospatial Consortium (OGC) compliant Web Map Tile Service (WMTS) as well as Tiled WMS and Keyhole Markup Language (KML). OnEarth has recently transitioned to open source status and is maintained and actively developed as part of GIBS (Global Imagery Browse Services), a collaborative project between JPL and Goddard Space Flight Center (GSFC). The primary function of GIBS is to enhance and streamline the data discovery process and to support near real-time (NRT) applications via the expeditious ingestion and serving of full-resolution imagery representing science products from across the NASA Earth Science spectrum. Open source software solutions are leveraged where possible in order to utilize existing available technologies, reduce development time, and enlist wider community participation. We will discuss some of the factors and decision points in transitioning OnEarth to a suitable open source paradigm, including repository and licensing agreement decision points, institutional hurdles, and perceived benefits. We will also provide examples illustrating how OnEarth is integrated within GIBS and other applications.
Open Source Software in Teaching Physics: A Case Study on Vector Algebra and Visual Representations
ERIC Educational Resources Information Center
Cataloglu, Erdat
2006-01-01
This study aims to report the effort on teaching vector algebra using free open source software (FOSS). Recent studies showed that students have difficulties in learning basic physics concepts. Constructivist learning theories suggest the use of visual and hands-on activities in learning. We will report on the software used for this purpose. The…
Building Energy Management Open Source Software
DOE Office of Scientific and Technical Information (OSTI.GOV)
This is the repository for Building Energy Management Open Source Software (BEMOSS), which is an open source operating system that is engineered to improve sensing and control of equipment in small- and medium-sized commercial buildings. BEMOSS offers the following key features: (1) Open source, open architecture – BEMOSS is an open source operating system that is built upon VOLTTRON – a distributed agent platform developed by Pacific Northwest National Laboratory (PNNL). BEMOSS was designed to make it easy for hardware manufacturers to seamlessly interface their devices with BEMOSS. Software developers can also contribute to adding additional BEMOSS functionalities and applications.more » (2) Plug & play – BEMOSS was designed to automatically discover supported load controllers (including smart thermostats, VAV/RTUs, lighting load controllers and plug load controllers) in commercial buildings. (3) Interoperability – BEMOSS was designed to work with load control devices form different manufacturers that operate on different communication technologies and data exchange protocols. (4) Cost effectiveness – Implementation of BEMOSS deemed to be cost-effective as it was built upon a robust open source platform that can operate on a low-cost single-board computer, such as Odroid. This feature could contribute to its rapid deployment in small- or medium-sized commercial buildings. (5) Scalability and ease of deployment – With its multi-node architecture, BEMOSS provides a distributed architecture where load controllers in a multi-floor and high occupancy building could be monitored and controlled by multiple single-board computers hosting BEMOSS. This makes it possible for a building engineer to deploy BEMOSS in one zone of a building, be comfortable with its operation, and later on expand the deployment to the entire building to make it more energy efficient. (6) Ability to provide local and remote monitoring – BEMOSS provides both local and remote monitoring ability with role-based access control. (7) Security – In addition to built-in security features provided by VOLTTRON, BEMOSS provides enhanced security features, including BEMOSS discovery approval process, encrypted core-to-node communication, thermostat anti-tampering feature and many more. (8) Support from the Advisory Committee – BEMOSS was developed in consultation with an advisory committee from the beginning of the project. BEMOSS advisory committee comprises representatives from 22 organizations from government and industry.« less
Improving Software Sustainability: Lessons Learned from Profiles in Science.
Gallagher, Marie E
2013-01-01
The Profiles in Science® digital library features digitized surrogates of historical items selected from the archival collections of the U.S. National Library of Medicine as well as collaborating institutions. In addition, it contains a database of descriptive, technical and administrative metadata. It also contains various software components that allow creation of the metadata, management of the digital items, and access to the items and metadata through the Profiles in Science Web site [1]. The choices made building the digital library were designed to maximize the sustainability and long-term survival of all of the components of the digital library [2]. For example, selecting standard and open digital file formats rather than proprietary formats increases the sustainability of the digital files [3]. Correspondingly, using non-proprietary software may improve the sustainability of the software--either through in-house expertise or through the open source community. Limiting our digital library software exclusively to open source software or to software developed in-house has not been feasible. For example, we have used proprietary operating systems, scanning software, a search engine, and office productivity software. We did this when either lack of essential capabilities or the cost-benefit trade-off favored using proprietary software. We also did so knowing that in the future we would need to replace or upgrade some of our proprietary software, analogous to migrating from an obsolete digital file format to a new format as the technological landscape changes. Since our digital library's start in 1998, all of its software has been upgraded or replaced, but the digitized items have not yet required migration to other formats. Technological changes that compelled us to replace proprietary software included the cost of product licensing, product support, incompatibility with other software, prohibited use due to evolving security policies, and product abandonment. Sometimes these changes happen on short notice, so we continually monitor our library's software for signs of endangerment. We have attempted to replace proprietary software with suitable in-house or open source software. When the replacement involves a standalone piece of software with a nearly equivalent version, such as replacing a commercial HTTP server with an open source HTTP server, the replacement is straightforward. Recently we replaced software that functioned not only as our search engine but also as the backbone of the architecture of our Web site. In this paper, we describe the lessons learned and the pros and cons of replacing this software with open source software.
NASA Astrophysics Data System (ADS)
Silva, F.; Maechling, P. J.; Goulet, C. A.; Somerville, P.; Jordan, T. H.
2014-12-01
The Southern California Earthquake Center (SCEC) Broadband Platform is a collaborative software development project involving geoscientists, earthquake engineers, graduate students, and the SCEC Community Modeling Environment. The SCEC Broadband Platform (BBP) is open-source scientific software that can generate broadband (0-100Hz) ground motions for earthquakes, integrating complex scientific modules that implement rupture generation, low and high-frequency seismogram synthesis, non-linear site effects calculation, and visualization into a software system that supports easy on-demand computation of seismograms. The Broadband Platform operates in two primary modes: validation simulations and scenario simulations. In validation mode, the Platform runs earthquake rupture and wave propagation modeling software to calculate seismograms for a well-observed historical earthquake. Then, the BBP calculates a number of goodness of fit measurements that quantify how well the model-based broadband seismograms match the observed seismograms for a certain event. Based on these results, the Platform can be used to tune and validate different numerical modeling techniques. In scenario mode, the Broadband Platform can run simulations for hypothetical (scenario) earthquakes. In this mode, users input an earthquake description, a list of station names and locations, and a 1D velocity model for their region of interest, and the Broadband Platform software then calculates ground motions for the specified stations. Working in close collaboration with scientists and research engineers, the SCEC software development group continues to add new capabilities to the Broadband Platform and to release new versions as open-source scientific software distributions that can be compiled and run on many Linux computer systems. Our latest release includes 5 simulation methods, 7 simulation regions covering California, Japan, and Eastern North America, the ability to compare simulation results against GMPEs, and several new data products, such as map and distance-based goodness of fit plots. As the number and complexity of scenarios simulated using the Broadband Platform increases, we have added batching utilities to substantially improve support for running large-scale simulations on computing clusters.
Electronic Health Record Application Support Service Enablers.
Neofytou, M S; Neokleous, K; Aristodemou, A; Constantinou, I; Antoniou, Z; Schiza, E C; Pattichis, C S; Schizas, C N
2015-08-01
There is a huge need for open source software solutions in the healthcare domain, given the flexibility, interoperability and resource savings characteristics they offer. In this context, this paper presents the development of three open source libraries - Specific Enablers (SEs) for eHealth applications that were developed under the European project titled "Future Internet Social and Technological Alignment Research" (FI-STAR) funded under the "Future Internet Public Private Partnership" (FI-PPP) program. The three SEs developed under the Electronic Health Record Application Support Service Enablers (EHR-EN) correspond to: a) an Electronic Health Record enabler (EHR SE), b) a patient summary enabler based on the EU project "European patient Summary Open Source services" (epSOS SE) supporting patient mobility and the offering of interoperable services, and c) a Picture Archiving and Communications System (PACS) enabler (PACS SE) based on the dcm4che open source system for the support of medical imaging functionality. The EHR SE follows the HL7 Clinical Document Architecture (CDA) V2.0 and supports the Integrating the Healthcare Enterprise (IHE) profiles (recently awarded in Connectathon 2015). These three FI-STAR platform enablers are designed to facilitate the deployment of innovative applications and value added services in the health care sector. They can be downloaded from the FI-STAR cataloque website. Work in progress focuses in the validation and evaluation scenarios for the proving and demonstration of the usability, applicability and adaptability of the proposed enablers.
Open source software to control Bioflo bioreactors.
Burdge, David A; Libourel, Igor G L
2014-01-01
Bioreactors are designed to support highly controlled environments for growth of tissues, cell cultures or microbial cultures. A variety of bioreactors are commercially available, often including sophisticated software to enhance the functionality of the bioreactor. However, experiments that the bioreactor hardware can support, but that were not envisioned during the software design cannot be performed without developing custom software. In addition, support for third party or custom designed auxiliary hardware is often sparse or absent. This work presents flexible open source freeware for the control of bioreactors of the Bioflo product family. The functionality of the software includes setpoint control, data logging, and protocol execution. Auxiliary hardware can be easily integrated and controlled through an integrated plugin interface without altering existing software. Simple experimental protocols can be entered as a CSV scripting file, and a Python-based protocol execution model is included for more demanding conditional experimental control. The software was designed to be a more flexible and free open source alternative to the commercially available solution. The source code and various auxiliary hardware plugins are publicly available for download from https://github.com/LibourelLab/BiofloSoftware. In addition to the source code, the software was compiled and packaged as a self-installing file for 32 and 64 bit windows operating systems. The compiled software will be able to control a Bioflo system, and will not require the installation of LabVIEW.
Open Source Software to Control Bioflo Bioreactors
Burdge, David A.; Libourel, Igor G. L.
2014-01-01
Bioreactors are designed to support highly controlled environments for growth of tissues, cell cultures or microbial cultures. A variety of bioreactors are commercially available, often including sophisticated software to enhance the functionality of the bioreactor. However, experiments that the bioreactor hardware can support, but that were not envisioned during the software design cannot be performed without developing custom software. In addition, support for third party or custom designed auxiliary hardware is often sparse or absent. This work presents flexible open source freeware for the control of bioreactors of the Bioflo product family. The functionality of the software includes setpoint control, data logging, and protocol execution. Auxiliary hardware can be easily integrated and controlled through an integrated plugin interface without altering existing software. Simple experimental protocols can be entered as a CSV scripting file, and a Python-based protocol execution model is included for more demanding conditional experimental control. The software was designed to be a more flexible and free open source alternative to the commercially available solution. The source code and various auxiliary hardware plugins are publicly available for download from https://github.com/LibourelLab/BiofloSoftware. In addition to the source code, the software was compiled and packaged as a self-installing file for 32 and 64 bit windows operating systems. The compiled software will be able to control a Bioflo system, and will not require the installation of LabVIEW. PMID:24667828
Open source software and low cost sensors for teaching UAV science
NASA Astrophysics Data System (ADS)
Kefauver, S. C.; Sanchez-Bragado, R.; El-Haddad, G.; Araus, J. L.
2016-12-01
Drones, also known as UASs (unmanned aerial systems), UAVs (Unmanned Aerial Vehicles) or RPAS (Remotely piloted aircraft systems), are both useful advanced scientific platforms and recreational toys that are appealing to younger generations. As such, they can make for excellent education tools as well as low-cost scientific research project alternatives. However, the process of taking pretty pictures to remote sensing science can be daunting if one is presented with only expensive software and sensor options. There are a number of open-source tools and low cost platform and sensor options available that can provide excellent scientific research results, and, by often requiring more user-involvement than commercial software and sensors, provide even greater educational benefits. Scale-invariant feature transform (SIFT) algorithm implementations, such as the Microsoft Image Composite Editor (ICE), which can create quality 2D image mosaics with some motion and terrain adjustments and VisualSFM (Structure from Motion), which can provide full image mosaicking with movement and orthorectification capacities. RGB image quantification using alternate color space transforms, such as the BreedPix indices, can be calculated via plugins in the open-source software Fiji (http://fiji.sc/Fiji; http://github.com/george-haddad/CIMMYT). Recent analyses of aerial images from UAVs over different vegetation types and environments have shown RGB metrics can outperform more costly commercial sensors. Specifically, Hue-based pixel counts, the Triangle Greenness Index (TGI), and the Normalized Green Red Difference Index (NGRDI) consistently outperformed NDVI in estimating abiotic and biotic stress impacts on crop health. Also, simple kits are available for NDVI camera conversions. Furthermore, suggestions for multivariate analyses of the different RGB indices in the "R program for statistical computing", such as classification and regression trees can allow for a more approachable interpretation of results in the classroom.
The SCEC Broadband Platform: Open-Source Software for Strong Ground Motion Simulation and Validation
NASA Astrophysics Data System (ADS)
Goulet, C.; Silva, F.; Maechling, P. J.; Callaghan, S.; Jordan, T. H.
2015-12-01
The Southern California Earthquake Center (SCEC) Broadband Platform (BBP) is a carefully integrated collection of open-source scientific software programs that can simulate broadband (0-100Hz) ground motions for earthquakes at regional scales. The BBP scientific software modules implement kinematic rupture generation, low and high-frequency seismogram synthesis using wave propagation through 1D layered velocity structures, seismogram ground motion amplitude calculations, and goodness of fit measurements. These modules are integrated into a software system that provides user-defined, repeatable, calculation of ground motion seismograms, using multiple alternative ground motion simulation methods, and software utilities that can generate plots, charts, and maps. The BBP has been developed over the last five years in a collaborative scientific, engineering, and software development project involving geoscientists, earthquake engineers, graduate students, and SCEC scientific software developers. The BBP can run earthquake rupture and wave propagation modeling software to simulate ground motions for well-observed historical earthquakes and to quantify how well the simulated broadband seismograms match the observed seismograms. The BBP can also run simulations for hypothetical earthquakes. In this case, users input an earthquake location and magnitude description, a list of station locations, and a 1D velocity model for the region of interest, and the BBP software then calculates ground motions for the specified stations. The SCEC BBP software released in 2015 can be compiled and run on recent Linux systems with GNU compilers. It includes 5 simulation methods, 7 simulation regions covering California, Japan, and Eastern North America, the ability to compare simulation results against GMPEs, updated ground motion simulation methods, and a simplified command line user interface.
NASA Technical Reports Server (NTRS)
Davis, Kirsch; Bankieris, Derek
2016-01-01
As an intern project for NASA Johnson Space Center (JSC), my job was to familiarize myself and operate a Robotics Operating System (ROS). The project outcome will convert existing software assets into ROS using nodes, enabling a robotic Hexapod to communicate and to be functional and controlled by an existing PlayStation 3 (PS3) controller. Existing control algorithms and current libraries have no ROS capabilities within the Hexapod C++ source code. Conversion of C++ codes to ROS will enable existing code to be compatible with ROS, and will be controlled using existing PS3 controller. Furthermore, my job description is to design ROS messages and script programs which will enable assets to participate in the ROS ecosystem. In addition, an open source software (IDE) Arduino board will be integrated in the ecosystem with designing circuitry on a breadboard to add additional behavior with push buttons, potentiometers and other simple elements in the electrical circuitry. Other projects with the Arduino will be a GPS module digital clock that will run off 22 satellites to show accurate real time using a GPS signal and internal patch antenna to communicate with satellites.
The Simple Video Coder: A free tool for efficiently coding social video data.
Barto, Daniel; Bird, Clark W; Hamilton, Derek A; Fink, Brandi C
2017-08-01
Videotaping of experimental sessions is a common practice across many disciplines of psychology, ranging from clinical therapy, to developmental science, to animal research. Audio-visual data are a rich source of information that can be easily recorded; however, analysis of the recordings presents a major obstacle to project completion. Coding behavior is time-consuming and often requires ad-hoc training of a student coder. In addition, existing software is either prohibitively expensive or cumbersome, which leaves researchers with inadequate tools to quickly process video data. We offer the Simple Video Coder-free, open-source software for behavior coding that is flexible in accommodating different experimental designs, is intuitive for students to use, and produces outcome measures of event timing, frequency, and duration. Finally, the software also offers extraction tools to splice video into coded segments suitable for training future human coders or for use as input for pattern classification algorithms.
NOAA's Data Catalog and the Federal Open Data Policy
NASA Astrophysics Data System (ADS)
Wengren, M. J.; de la Beaujardiere, J.
2014-12-01
The 2013 Open Data Policy Presidential Directive requires Federal agencies to create and maintain a 'public data listing' that includes all agency data that is currently or will be made publicly-available in the future. The directive requires the use of machine-readable and open formats that make use of 'common core' and extensible metadata formats according to the best practices published in an online repository called 'Project Open Data', to use open licenses where possible, and to adhere to existing metadata and other technology standards to promote interoperability. In order to meet the requirements of the Open Data Policy, the National Oceanic and Atmospheric Administration (NOAA) has implemented an online data catalog that combines metadata from all subsidiary NOAA metadata catalogs into a single master inventory. The NOAA Data Catalog is available to the public for search and discovery, providing access to the NOAA master data inventory through multiple means, including web-based text search, OGC CS-W endpoint, as well as a native Application Programming Interface (API) for programmatic query. It generates on a daily basis the Project Open Data JavaScript Object Notation (JSON) file required for compliance with the Presidential directive. The Data Catalog is based on the open source Comprehensive Knowledge Archive Network (CKAN) software and runs on the Amazon Federal GeoCloud. This presentation will cover topics including mappings of existing metadata in standard formats (FGDC-CSDGM and ISO 19115 XML ) to the Project Open Data JSON metadata schema, representation of metadata elements within the catalog, and compatible metadata sources used to feed the catalog to include Web Accessible Folder (WAF), Catalog Services for the Web (CS-W), and Esri ArcGIS.com. It will also discuss related open source technologies that can be used together to build a spatial data infrastructure compliant with the Open Data Policy.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Peffer, Therese; Blumstein, Carl; Culler, David
The Project uses state-of-the-art computer science to extend the benefits of Building Automation Systems (BAS) typically found in large buildings (>100,000 square foot) to medium-sized commercial buildings (<50,000 sq ft). The BAS developed in this project, termed OpenBAS, uses an open-source and open software architecture platform, user interface, and plug-and-play control devices to facilitate adoption of energy efficiency strategies in the commercial building sector throughout the United States. At the heart of this “turn key” BAS is the platform with three types of controllers—thermostat, lighting controller, and general controller—that are easily “discovered” by the platform in a plug-and-play fashion. Themore » user interface showcases the platform and provides the control system set-up, system status display and means of automatically mapping the control points in the system.« less
DOT National Transportation Integrated Search
2016-11-17
The ETFOMM (Enhanced Transportation Flow Open Source Microscopic Model) Cloud Service (ECS) is a software product sponsored by the U.S. Department of Transportation in conjunction with the Microscopic Traffic Simulation Models and SoftwareAn Op...
Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.
Silva, Ikaro; Behar, Joachim; Sameni, Reza; Zhu, Tingting; Oster, Julien; Clifford, Gari D; Moody, George B
2013-03-01
The PhysioNet/CinC 2013 Challenge aimed to stimulate rapid development and improvement of software for estimating fetal heart rate (FHR), fetal interbeat intervals (FRR), and fetal QT intervals (FQT), from multichannel recordings made using electrodes placed on the mother's abdomen. For the challenge, five data collections from a variety of sources were used to compile a large standardized database, which was divided into training, open test, and hidden test subsets. Gold-standard fetal QRS and QT interval annotations were developed using a novel crowd-sourcing framework. The challenge organizers used the hidden test subset to evaluate 91 open-source software entries submitted by 53 international teams of participants in three challenge events, estimating FHR, FRR, and FQT using the hidden test subset, which was not available for study by participants. Two additional events required only user-submitted QRS annotations to evaluate FHR and FRR estimation accuracy using the open test subset available to participants. The challenge yielded a total of 91 open-source software entries. The best of these achieved average estimation errors of 187bpm 2 for FHR, 20.9 ms for FRR, and 152.7 ms for FQT. The open data sets, scoring software, and open-source entries are available at PhysioNet for researchers interested on working on these problems.
A Dozen Years after Open Source's 1998 Birth, It's Time for "OpenTechComm"
ERIC Educational Resources Information Center
Still, Brian
2010-01-01
2008 marked the 10-year Anniversary of the Open Source movement, which has had a substantial impact on not only software production and adoption, but also on the sharing and distribution of information. Technical communication as a discipline has taken some advantage of the movement or its derivative software, but this article argues not as much…
Katzman, G L; Morris, D; Lauman, J; Cochella, C; Goede, P; Harnsberger, H R
2001-06-01
To foster a community supported evaluation processes for open-source digital teaching file (DTF) development and maintenance. The mechanisms used to support this process will include standard web browsers, web servers, forum software, and custom additions to the forum software to potentially enable a mediated voting protocol. The web server will also serve as a focal point for beta and release software distribution, which is the desired end-goal of this process. We foresee that www.mdtf.org will provide for widespread distribution of open source DTF software that will include function and interface design decisions from community participation on the website forums.
Open-Source web-based geographical information system for health exposure assessment
2012-01-01
This paper presents the design and development of an open source web-based Geographical Information System allowing users to visualise, customise and interact with spatial data within their web browser. The developed application shows that by using solely Open Source software it was possible to develop a customisable web based GIS application that provides functions necessary to convey health and environmental data to experts and non-experts alike without the requirement of proprietary software. PMID:22233606
ERIC Educational Resources Information Center
Krishnamurthy, M.
2008-01-01
Purpose: The purpose of this paper is to describe the open access and open source movement in the digital library world. Design/methodology/approach: A review of key developments in the open access and open source movement is provided. Findings: Open source software and open access to research findings are of great use to scholars in developing…
ERIC Educational Resources Information Center
Mukala, Patrick; Cerone, Antonio; Turini, Franco
2017-01-01
Free\\Libre Open Source Software (FLOSS) environments are increasingly dubbed as learning environments where practical software engineering skills can be acquired. Numerous studies have extensively investigated how knowledge is acquired in these environments through a collaborative learning model that define a learning process. Such a learning…
Singh, Kumar Saurabh; Thual, Dominique; Spurio, Roberto; Cannata, Nicola
2015-01-01
One of the most crucial characteristics of day-to-day laboratory information management is the collection, storage and retrieval of information about research subjects and environmental or biomedical samples. An efficient link between sample data and experimental results is absolutely important for the successful outcome of a collaborative project. Currently available software solutions are largely limited to large scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but most of the times this requires a sufficient investment of money, time and technical efforts. There is a clear need for a light weighted open source system which can easily be managed on local servers and handled by individual researchers. Here we present a software named SaDA for storing, retrieving and analyzing data originated from microorganism monitoring experiments. SaDA is fully integrated in the management of environmental samples, oligonucleotide sequences, microarray data and the subsequent downstream analysis procedures. It is simple and generic software, and can be extended and customized for various environmental and biomedical studies. PMID:26047146
Singh, Kumar Saurabh; Thual, Dominique; Spurio, Roberto; Cannata, Nicola
2015-06-03
One of the most crucial characteristics of day-to-day laboratory information management is the collection, storage and retrieval of information about research subjects and environmental or biomedical samples. An efficient link between sample data and experimental results is absolutely important for the successful outcome of a collaborative project. Currently available software solutions are largely limited to large scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but most of the times this requires a sufficient investment of money, time and technical efforts. There is a clear need for a light weighted open source system which can easily be managed on local servers and handled by individual researchers. Here we present a software named SaDA for storing, retrieving and analyzing data originated from microorganism monitoring experiments. SaDA is fully integrated in the management of environmental samples, oligonucleotide sequences, microarray data and the subsequent downstream analysis procedures. It is simple and generic software, and can be extended and customized for various environmental and biomedical studies.
DOE Office of Scientific and Technical Information (OSTI.GOV)
MCCLEAN, JARROD; HANER, THOMAS; STEIGER, DAMIAN
FermiLib is an open source software package designed to facilitate the development and testing of algorithms for simulations of fermionic systems on quantum computers. Fermionic simulations represent an important application of early quantum devices with a lot of potential high value targets, such as quantum chemistry for the development of new catalysts. This software strives to provide a link between the required domain expertise in specific fermionic applications and quantum computing to enable more users to directly interface with, and develop for, these applications. It is an extensible Python library designed to interface with the high performance quantum simulator, ProjectQ,more » as well as application specific software such as PSI4 from the domain of quantum chemistry. Such software is key to enabling effective user facilities in quantum computation research.« less
Implementation of highly parallel and large scale GW calculations within the OpenAtom software
NASA Astrophysics Data System (ADS)
Ismail-Beigi, Sohrab
The need to describe electronic excitations with better accuracy than provided by band structures produced by Density Functional Theory (DFT) has been a long-term enterprise for the computational condensed matter and materials theory communities. In some cases, appropriate theoretical frameworks have existed for some time but have been difficult to apply widely due to computational cost. For example, the GW approximation incorporates a great deal of important non-local and dynamical electronic interaction effects but has been too computationally expensive for routine use in large materials simulations. OpenAtom is an open source massively parallel ab initiodensity functional software package based on plane waves and pseudopotentials (http://charm.cs.uiuc.edu/OpenAtom/) that takes advantage of the Charm + + parallel framework. At present, it is developed via a three-way collaboration, funded by an NSF SI2-SSI grant (ACI-1339804), between Yale (Ismail-Beigi), IBM T. J. Watson (Glenn Martyna) and the University of Illinois at Urbana Champaign (Laxmikant Kale). We will describe the project and our current approach towards implementing large scale GW calculations with OpenAtom. Potential applications of large scale parallel GW software for problems involving electronic excitations in semiconductor and/or metal oxide systems will be also be pointed out.
Bagayoko, C O; Anne, A; Fieschi, M; Geissbuhler, A
2011-01-01
The aim of this study is to demonstrate from actual projects that ICT can contribute to the balance of health systems in developing countries and to equitable access to human resources and quality health care service. Our study is focused on two essential elements which are: i) Capacity building and support of health professionals, especially those in isolated areas using telemedicine tools; ii) Strengthening of hospital information systems by taking advantage of full potential offered by open-source software. Our research was performed on the activities carried out in Mali and in part through the RAFT (Réseau en Afrique Francophone pour la Télémédecine) Network. We focused mainly on the activities of e-learning, telemedicine, and hospital information systems. These include the use of platforms that work with low Internet connection bandwidth. With regard to information systems, our strategy is mainly focused on the improvement and implementation of open-source tools. Several telemedicine application projects were reviewed including continuing online medical education and the support of isolated health professionals through the usage of innovative tools. This review covers the RAFT project for continuing medical education in French-speaking Africa, the tele-radiology project in Mali, the "EQUI-ResHuS" project for equal access to health over ICT in Mali, The "Pact-e.Santé" project for community health workers in Mali. We also detailed a large-scale experience of an open-source hospital information system implemented in Mali: "Cinz@n". We report on successful experiences in the field of telemedicine and on the evaluation by the end-users of the Cinz@n project, a pilot hospital information system in Mali. These reflect the potential of healthcare-ICT for Sub-Saharan African countries.
NASA Astrophysics Data System (ADS)
Manaud, Nicolas; Rossi, Angelo Pio; Hare, Trent; Aye, Michael; Galluzzi, Valentina; van Gasselt, Stephan; Martinez, Santa; McAuliffe, Jonathan; Million, Chase; Nass, Andrea; Zinzi, Angelo
2016-10-01
"Open" has become attached to several concepts: science, data, and software are some of the most obvious. It is already common practice within the planetary science community to share spacecraft missions data freely and openly [1]. However, this is not historically the case for software tools, source code, and derived data sets, which are often reproduced independently by multiple individuals and groups. Sharing data, tools and overall knowledge would increase scientific return and benefits [e.g. 2], and recent projects and initiatives are helping toward this goal [e.g. 3,4,5,6].OpenPlanetary is a bottom-up initiative to address the need of the planetary science community for sharing ideas and collaborating on common planetary research and data analysis problems, new challenges, and opportunities. It started from an initial participants effort to stay connected and share information related to and beyond the ESA's first Planetary GIS Workshop [7]. It then continued during the 2nd (US) Planetary Data Workshop [8], and aggregated more people.Our objective is to build an online distributed framework enabling open collaborations within the planetary science community. We aim to co-create, curate and publish resource materials and data sets; to organise online events, to support community-based projects development; and to offer a real-time communication channel at and between conferences and workshops.We will present our current framework and resources, developing projects and ideas, and solicit for feedback and participation. OpenPlanetary is intended for research and education professionals: scientists, engineers, designers, teachers and students, as well as the general public that includes enthusiasts and citizen scientists. All are welcome to join and contribute at openplanetary.co[1] International Planetary Data Alliance, planetarydata.org. [2] Nosek et al (2015), dx.doi.org/10.1126/science.aab2374. [3] Erard S. et al. (2016), EGU2016-17527. [4] Proposal for a PDS Software Node, bit.ly/PDS_SN. [5] Zinzi et al. (2016), dx.doi.org/10.1016/j.ascom.2016.02.006. [6] Open Universe initiave, bit.ly/OpenUniverse, [7] Manaud N. et al. (2016), LPSC47-1387. [8] bit.ly/PlanetaryDataWorkshops
Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System
Abtahi, Farhad; Snäll, Jonatan; Aslamy, Benjamin; Abtahi, Shirin; Seoane, Fernando; Lindecrantz, Kaj
2015-01-01
Bioimedical pilot projects e.g., telemedicine, homecare, animal and human trials usually involve several physiological measurements. Technical development of these projects is time consuming and in particular costly. A versatile but affordable biosignal measurement platform can help to reduce time and risk while keeping the focus on the important goal and making an efficient use of resources. In this work, an affordable and open source platform for development of physiological signals is proposed. As a first step an 8–12 leads electrocardiogram (ECG) and respiration monitoring system is developed. Chips based on iCoupler technology have been used to achieve electrical isolation as required by IEC 60601 for patient safety. The result shows the potential of this platform as a base for prototyping compact, affordable, and medically safe measurement systems. Further work involves both hardware and software development to develop modules. These modules may require development of front-ends for other biosignals or just collect data wirelessly from different devices e.g., blood pressure, weight, bioimpedance spectrum, blood glucose, e.g., through Bluetooth. All design and development documents, files and source codes will be available for non-commercial use through project website, BiosignalPI.org. PMID:25545268
The SCEC Broadband Platform: Open-Source Software for Strong Ground Motion Simulation and Validation
NASA Astrophysics Data System (ADS)
Silva, F.; Goulet, C. A.; Maechling, P. J.; Callaghan, S.; Jordan, T. H.
2016-12-01
The Southern California Earthquake Center (SCEC) Broadband Platform (BBP) is a carefully integrated collection of open-source scientific software programs that can simulate broadband (0-100 Hz) ground motions for earthquakes at regional scales. The BBP can run earthquake rupture and wave propagation modeling software to simulate ground motions for well-observed historical earthquakes and to quantify how well the simulated broadband seismograms match the observed seismograms. The BBP can also run simulations for hypothetical earthquakes. In this case, users input an earthquake location and magnitude description, a list of station locations, and a 1D velocity model for the region of interest, and the BBP software then calculates ground motions for the specified stations. The BBP scientific software modules implement kinematic rupture generation, low- and high-frequency seismogram synthesis using wave propagation through 1D layered velocity structures, several ground motion intensity measure calculations, and various ground motion goodness-of-fit tools. These modules are integrated into a software system that provides user-defined, repeatable, calculation of ground-motion seismograms, using multiple alternative ground motion simulation methods, and software utilities to generate tables, plots, and maps. The BBP has been developed over the last five years in a collaborative project involving geoscientists, earthquake engineers, graduate students, and SCEC scientific software developers. The SCEC BBP software released in 2016 can be compiled and run on recent Linux and Mac OS X systems with GNU compilers. It includes five simulation methods, seven simulation regions covering California, Japan, and Eastern North America, and the ability to compare simulation results against empirical ground motion models (aka GMPEs). The latest version includes updated ground motion simulation methods, a suite of new validation metrics and a simplified command line user interface.
Gpufit: An open-source toolkit for GPU-accelerated curve fitting.
Przybylski, Adrian; Thiel, Björn; Keller-Findeisen, Jan; Stock, Bernd; Bates, Mark
2017-11-16
We present a general purpose, open-source software library for estimation of non-linear parameters by the Levenberg-Marquardt algorithm. The software, Gpufit, runs on a Graphics Processing Unit (GPU) and executes computations in parallel, resulting in a significant gain in performance. We measured a speed increase of up to 42 times when comparing Gpufit with an identical CPU-based algorithm, with no loss of precision or accuracy. Gpufit is designed such that it is easily incorporated into existing applications or adapted for new ones. Multiple software interfaces, including to C, Python, and Matlab, ensure that Gpufit is accessible from most programming environments. The full source code is published as an open source software repository, making its function transparent to the user and facilitating future improvements and extensions. As a demonstration, we used Gpufit to accelerate an existing scientific image analysis package, yielding significantly improved processing times for super-resolution fluorescence microscopy datasets.
A Business Case Study of Open Source Software
2001-07-01
LinuxPPC LinuxPPC www.linuxppc.com MandrakeSoft Linux -Mandrake www.linux-mandrake.com/ en / CLE Project CLE cle.linux.org.tw/CLE/e_index.shtml Red Hat... en Coyote Linux www2.vortech.net/coyte/coyte.htm MNIS www.mnis.fr Data-Portal www.data-portal.com Mr O’s Linux Emporium www.ouin.com DLX Linux www.wu...1998 1999 Year S h ip m en ts ( in m ill io n s) Source: IDC, 2000. Figure 11. Worldwide New Linux Shipments (Client and Server) 3.2.2 Market
Building a Snow Data System on the Apache OODT Open Technology Stack
NASA Astrophysics Data System (ADS)
Goodale, C. E.; Painter, T. H.; Mattmann, C. A.; Hart, A. F.; Ramirez, P.; Zimdars, P.; Bryant, A. C.; Snow Data System Team
2011-12-01
Snow cover and its melt dominate regional climate and hydrology in many of the world's mountainous regions. One-sixth of Earth's population depends on snow- or glacier-melt for water resources. Operationally, seasonal forecasts of snowmelt-generated streamflow are leveraged through empirical relations based on past snowmelt periods. These historical data show that climate is changing, but the changes reduce the reliability of the empirical relations. Therefore optimal future management of snowmelt derived water resources will require explicit physical models driven by remotely sensed snow property data. Toward this goal, the Snow Optics Laboratory at the Jet Propulsion Laboratory has initiated a near real-time processing pipeline to generate and publish post-processed snow data products within a few hours of satellite acquisition. To solve this challenge, a Scientific Data Management and Processing System was required and the JPL Team leveraged an open-source project called Object Oriented Data Technology (OODT). OODT was developed within NASA's Jet Propulsion Laboratory across the last 10 years. OODT has supported various scientific data management and processing projects, providing solutions in the Earth, Planetary, and Medical science fields. It became apparent that the project needed to be opened to a larger audience to foster and promote growth and adoption. OODT was open-sourced at the Apache Software Foundation in November 2010 and has a growing community of users and committers that are constantly improving the software. Leveraging OODT, the JPL Snow Data System (SnowDS) Team was able to install and configure a core Data Management System (DMS) that would download MODIS raw data files and archive the products in a local repository for post processing. The team has since built an online data portal, and an algorithm-processing pipeline using the Apache OODT software as the foundation. We will present the working SnowDS system with its core remote sensing components: the MODIS Snow Covered Area and Grain size model (MODSCAG) and the MODIS Dust Radiative Forcing in Snow (MOD-DRFS). These products will be delivered in near real time to water managers and the broader cryosphere and climate community beginning in Winter 2012. We will then present the challenges and opportunities we see in the future as the SnowDS matures and contributions are made back to the OODT project.
Firefox add-ons for medical reference.
Hoy, Matthew B
2010-07-01
Firefox is a Web browser created by the Mozilla project, an open-source software group. Features of the browser include automated updates, advanced security and standards compliance, and the ability to add functionality through add-ons and extensions. First introduced in 2004, Firefox now accounts for roughly 30% of the browser market. This article will focus primarily on add-ons and extensions available for the browser that are useful to medical researchers.
PyPedal, an open source software package for pedigree analysis
USDA-ARS?s Scientific Manuscript database
The open source software package PyPedal (http://pypedal.sourceforge.net/) was first released in 2002, and provided users with a set of simple tools for manipulating pedigrees. Its flexibility has been demonstrated by its used in a number of settings for large and small populations. After substantia...
ERIC Educational Resources Information Center
Baser, Mustafa
2006-01-01
This paper reports upon an active learning approach that promotes conceptual change when studying direct current electricity circuits, using free open source software, "Qucs". The study involved a total of 102 prospective mathematics teacher students. Prior to instruction, students' understanding of direct current electricity was…
Supporting Indonesia's National Forest Monitoring System with LiDAR Observations
NASA Astrophysics Data System (ADS)
Hagen, S. C.
2015-12-01
Scientists at Applied GeoSolutions, Jet Propulsion Laboratory, Winrock International, and the University of New Hampshire are working with the government of Indonesia to enhance the National Forest Monitoring System in Kalimantan, Indonesia. The establishment of a reliable, transparent, and comprehensive NFMS has been limited by a dearth of relevant data that are accurate, low-cost, and spatially resolved at subnational scales. In this NASA funded project, we are developing, evaluating, and validating several critical components of a NFMS in Kalimantan, Indonesia, focusing on the use of LiDAR and radar imagery for improved carbon stock and forest degradation information. Applied GeoSolutions and the University of New Hampshire have developed an Open Source Software package to process large amounts LiDAR data quickly, easily, and accurately. The Open Source project is called lidar2dems and includes the classification of raw LAS point clouds and the creation of Digital Terrain Models (DTMs), Digital Surface Models (DSMs), and Canopy Height Models (CHMs). Preliminary estimates of forest structure and forest damage from logging from these data sets support the idea that comprehensive, well documented, freely available software for processing LiDAR data can enable countries such as Indonesia to cost effectively monitor their forests with high precision.
NASA Astrophysics Data System (ADS)
Arias Muñoz, C.; Brovelli, M. A.; Kilsedar, C. E.; Moreno-Sanchez, R.; Oxoli, D.
2017-09-01
The availability of water-related data and information across different geographical and jurisdictional scales is of critical importance for the conservation and management of water resources in the 21st century. Today information assets are often found fragmented across multiple agencies that use incompatible data formats and procedures for data collection, storage, maintenance, analysis, and distribution. The growing adoption of Web mapping systems in the water domain is reducing the gap between data availability and its practical use and accessibility. Nevertheless, more attention must be given to the design and development of these systems to achieve high levels of interoperability and usability while fulfilling different end user informational needs. This paper first presents a brief overview of technologies used in the water domain, and then presents three examples of Web mapping architectures based on free and open source software (FOSS) and the use of open specifications (OS) that address different users' needs for data sharing, visualization, manipulation, scenario simulations, and map production. The purpose of the paper is to illustrate how the latest developments in OS for geospatial and water-related data collection, storage, and sharing, combined with the use of mature FOSS projects facilitate the creation of sophisticated interoperable Web-based information systems in the water domain.
R-CMap-An open-source software for concept mapping.
Bar, Haim; Mentch, Lucas
2017-02-01
Planning and evaluating projects often involves input from many stakeholders. Fusing and organizing many different ideas, opinions, and interpretations into a coherent and acceptable plan or project evaluation is challenging. This is especially true when seeking contributions from a large number of participants, especially when not all can participate in group discussions, or when some prefer to contribute their perspectives anonymously. One of the major breakthroughs in the area of evaluation and program planning has been the use of graphical tools to represent the brainstorming process. This provides a quantitative framework for organizing ideas and general concepts into simple-to-interpret graphs. We developed a new, open-source concept mapping software called R-CMap, which is implemented in R. This software provides a graphical user interface to guide users through the analytical process of concept mapping. The R-CMap software allows users to generate a variety of plots, including cluster maps, point rating and cluster rating maps, as well as pattern matching and go-zone plots. Additionally, R-CMap is capable of generating detailed reports that contain useful statistical summaries of the data. The plots and reports can be embedded in Microsoft Office tools such as Word and PowerPoint, where users may manually adjust various plot and table features to achieve the best visual results in their presentations and official reports. The graphical user interface of R-CMap allows users to define cluster names, change the number of clusters, select rating variables for relevant plots, and importantly, select subsets of respondents by demographic criteria. The latter is particularly useful to project managers in order to identify different patterns of preferences by subpopulations. R-CMap is user-friendly, and does not require any programming experience. However, proficient R users can add to its functionality by directly accessing built-in functions in R and sharing new features with the concept mapping community. Copyright © 2016 Elsevier Ltd. All rights reserved.
Lee, Young Han
2012-01-01
The objectives are (1) to introduce an easy open-source macro program as connection software and (2) to illustrate the practical usages in radiologic reading environment by simulating the radiologic reading process. The simulation is a set of radiologic reading process to do a practical task in the radiologic reading room. The principal processes are: (1) to view radiologic images on the Picture Archiving and Communicating System (PACS), (2) to connect the HIS/EMR (Hospital Information System/Electronic Medical Record) system, (3) to make an automatic radiologic reporting system, and (4) to record and recall information of interesting cases. This simulation environment was designed by using open-source macro program as connection software. The simulation performed well on the Window-based PACS workstation. Radiologists practiced the steps of the simulation comfortably by utilizing the macro-powered radiologic environment. This macro program could automate several manual cumbersome steps in the radiologic reading process. This program successfully acts as connection software for the PACS software, EMR/HIS, spreadsheet, and other various input devices in the radiologic reading environment. A user-friendly efficient radiologic reading environment could be established by utilizing open-source macro program as connection software. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Udell, C.; Selker, J. S.
2017-12-01
The increasing availability and functionality of Open-Source software and hardware along with 3D printing, low-cost electronics, and proliferation of open-access resources for learning rapid prototyping are contributing to fundamental transformations and new technologies in environmental sensing. These tools invite reevaluation of time-tested methodologies and devices toward more efficient, reusable, and inexpensive alternatives. Building upon Open-Source design facilitates community engagement and invites a Do-It-Together (DIT) collaborative framework for research where solutions to complex problems may be crowd-sourced. However, barriers persist that prevent researchers from taking advantage of the capabilities afforded by open-source software, hardware, and rapid prototyping. Some of these include: requisite technical skillsets, knowledge of equipment capabilities, identifying inexpensive sources for materials, money, space, and time. A university MAKER space staffed by engineering students to assist researchers is one proposed solution to overcome many of these obstacles. This presentation investigates the unique capabilities the USDA-funded Openly Published Environmental Sensing (OPEnS) Lab affords researchers, within Oregon State and internationally, and the unique functions these types of initiatives support at the intersection of MAKER spaces, Open-Source academic research, and open-access dissemination.
Use of Open Standards and Technologies at the Lunar Mapping and Modeling Project
NASA Astrophysics Data System (ADS)
Law, E.; Malhotra, S.; Bui, B.; Chang, G.; Goodale, C. E.; Ramirez, P.; Kim, R. M.; Sadaqathulla, S.; Rodriguez, L.
2011-12-01
The Lunar Mapping and Modeling Project (LMMP), led by the Marshall Space Flight center (MSFC), is tasked by NASA. The project is responsible for the development of an information system to support lunar exploration activities. It provides lunar explorers a set of tools and lunar map and model products that are predominantly derived from present lunar missions (e.g., the Lunar Reconnaissance Orbiter (LRO)) and from historical missions (e.g., Apollo). At Jet Propulsion Laboratory (JPL), we have built the LMMP interoperable geospatial information system's underlying infrastructure and a single point of entry - the LMMP Portal by employing a number of open standards and technologies. The Portal exposes a set of services to users to allow search, visualization, subset, and download of lunar data managed by the system. Users also have access to a set of tools that visualize, analyze and annotate the data. The infrastructure and Portal are based on web service oriented architecture. We designed the system to support solar system bodies in general including asteroids, earth and planets. We employed a combination of custom software, commercial and open-source components, off-the-shelf hardware and pay-by-use cloud computing services. The use of open standards and web service interfaces facilitate platform and application independent access to the services and data, offering for instances, iPad and Android mobile applications and large screen multi-touch with 3-D terrain viewing functions, for a rich browsing and analysis experience from a variety of platforms. The web services made use of open standards including: Representational State Transfer (REST); and Open Geospatial Consortium (OGC)'s Web Map Service (WMS), Web Coverage Service (WCS), Web Feature Service (WFS). Its data management services have been built on top of a set of open technologies including: Object Oriented Data Technology (OODT) - open source data catalog, archive, file management, data grid framework; openSSO - open source access management and federation platform; solr - open source enterprise search platform; redmine - open source project collaboration and management framework; GDAL - open source geospatial data abstraction library; and others. Its data products are compliant with Federal Geographic Data Committee (FGDC) metadata standard. This standardization allows users to access the data products via custom written applications or off-the-shelf applications such as GoogleEarth. We will demonstrate this ready-to-use system for data discovery and visualization by walking through the data services provided through the portal such as browse, search, and other tools. We will further demonstrate image viewing and layering of lunar map images from the Internet, via mobile devices such as Apple's iPad.
OpenCFU, a new free and open-source software to count cell colonies and other circular objects.
Geissmann, Quentin
2013-01-01
Counting circular objects such as cell colonies is an important source of information for biologists. Although this task is often time-consuming and subjective, it is still predominantly performed manually. The aim of the present work is to provide a new tool to enumerate circular objects from digital pictures and video streams. Here, I demonstrate that the created program, OpenCFU, is very robust, accurate and fast. In addition, it provides control over the processing parameters and is implemented in an intuitive and modern interface. OpenCFU is a cross-platform and open-source software freely available at http://opencfu.sourceforge.net.
Visualization and Quality Control Web Tools for CERES Products
NASA Astrophysics Data System (ADS)
Mitrescu, C.; Doelling, D. R.; Rutan, D. A.
2016-12-01
The CERES project continues to provide the scientific community a wide variety of satellite-derived data products such as observed TOA broadband shortwave and longwave observed fluxes, computed TOA and Surface fluxes, as well as cloud, aerosol, and other atmospheric parameters. They encompass a wide range of temporal and spatial resolutions, suited to specific applications. Now in its 16-year, CERES products are mostly used by climate modeling communities that focus on global mean energetics, meridianal heat transport, and climate trend studies. In order to serve all our users, we developed a web-based Ordering and Visualization Tool (OVT). Using Opens Source Software such as Eclipse, java, javascript, OpenLayer, Flot, Google Maps, python, and others, the OVT Team developed a series of specialized functions to be used in the process of CERES Data Quality Control (QC). We mention 1- and 2-D histogram, anomaly, deseasonalization, temporal and spatial averaging, side-by-side parameter comparison, and others that made the process of QC far easier and faster, but more importantly far more portable. We are now in the process of integrating ground site observed surface fluxes to further facilitate the CERES project to QC the CERES computed surface fluxes. These features will give users the opportunity to perform their own comparisons of the CERES computed surface fluxes and observed ground site fluxes. An overview of the CERES OVT basic functions using Open Source Software, as well as future steps in expanding its capabilities will be presented at the meeting.
Self-service for software development projects and HPC activities
NASA Astrophysics Data System (ADS)
Husejko, M.; Høimyr, N.; Gonzalez, A.; Koloventzos, G.; Asbury, D.; Trzcinska, A.; Agtzidis, I.; Botrel, G.; Otto, J.
2014-05-01
This contribution describes how CERN has implemented several essential tools for agile software development processes, ranging from version control (Git) to issue tracking (Jira) and documentation (Wikis). Running such services in a large organisation like CERN requires many administrative actions both by users and service providers, such as creating software projects, managing access rights, users and groups, and performing tool-specific customisation. Dealing with these requests manually would be a time-consuming task. Another area of our CERN computing services that has required dedicated manual support has been clusters for specific user communities with special needs. Our aim is to move all our services to a layered approach, with server infrastructure running on the internal cloud computing infrastructure at CERN. This contribution illustrates how we plan to optimise the management of our of services by means of an end-user facing platform acting as a portal into all the related services for software projects, inspired by popular portals for open-source developments such as Sourceforge, GitHub and others. Furthermore, the contribution will discuss recent activities with tests and evaluations of High Performance Computing (HPC) applications on different hardware and software stacks, and plans to offer a dynamically scalable HPC service at CERN, based on affordable hardware.
Prins, Pjotr; Goto, Naohisa; Yates, Andrew; Gautier, Laurent; Willis, Scooter; Fields, Christopher; Katayama, Toshiaki
2012-01-01
Open-source software (OSS) encourages computer programmers to reuse software components written by others. In evolutionary bioinformatics, OSS comes in a broad range of programming languages, including C/C++, Perl, Python, Ruby, Java, and R. To avoid writing the same functionality multiple times for different languages, it is possible to share components by bridging computer languages and Bio* projects, such as BioPerl, Biopython, BioRuby, BioJava, and R/Bioconductor. In this chapter, we compare the two principal approaches for sharing software between different programming languages: either by remote procedure call (RPC) or by sharing a local call stack. RPC provides a language-independent protocol over a network interface; examples are RSOAP and Rserve. The local call stack provides a between-language mapping not over the network interface, but directly in computer memory; examples are R bindings, RPy, and languages sharing the Java Virtual Machine stack. This functionality provides strategies for sharing of software between Bio* projects, which can be exploited more often. Here, we present cross-language examples for sequence translation, and measure throughput of the different options. We compare calling into R through native R, RSOAP, Rserve, and RPy interfaces, with the performance of native BioPerl, Biopython, BioJava, and BioRuby implementations, and with call stack bindings to BioJava and the European Molecular Biology Open Software Suite. In general, call stack approaches outperform native Bio* implementations and these, in turn, outperform RPC-based approaches. To test and compare strategies, we provide a downloadable BioNode image with all examples, tools, and libraries included. The BioNode image can be run on VirtualBox-supported operating systems, including Windows, OSX, and Linux.
Open Source Next Generation Visualization Software for Interplanetary Missions
NASA Technical Reports Server (NTRS)
Trimble, Jay; Rinker, George
2016-01-01
Mission control is evolving quickly, driven by the requirements of new missions, and enabled by modern computing capabilities. Distributed operations, access to data anywhere, data visualization for spacecraft analysis that spans multiple data sources, flexible reconfiguration to support multiple missions, and operator use cases, are driving the need for new capabilities. NASA's Advanced Multi-Mission Operations System (AMMOS), Ames Research Center (ARC) and the Jet Propulsion Laboratory (JPL) are collaborating to build a new generation of mission operations software for visualization, to enable mission control anywhere, on the desktop, tablet and phone. The software is built on an open source platform that is open for contributions (http://nasa.github.io/openmct).
Political Economy, the Internet and FL/OSS Development
NASA Astrophysics Data System (ADS)
Mansell, Robin; Berdou, Evangelia
Despite the growing amount of research on Free/Libre/Open Source Software (FL/OSS) development, there is little insight into how structural factors associated with institutions influence the patterns of software developer activity in this area. This article examines some of the dynamics of the development of this type of software and the extent to which these dynamics are associated with features of the gift economy as is frequently suggested in the literature. Drawing on an empirical analysis of contributors to the GNOME FL/OSS project, we suggest that greater attention should be given to the emergence of a mixed economy in which features of the exchange economy come to the fore with implications for the power relationships among those contributing to FL/OSS.
The Role of Free/Libre and Open Source Software in Learning Health Systems.
Paton, C; Karopka, T
2017-08-01
Objective: To give an overview of the role of Free/Libre and Open Source Software (FLOSS) in the context of secondary use of patient data to enable Learning Health Systems (LHSs). Methods: We conducted an environmental scan of the academic and grey literature utilising the MedFLOSS database of open source systems in healthcare to inform a discussion of the role of open source in developing LHSs that reuse patient data for research and quality improvement. Results: A wide range of FLOSS is identified that contributes to the information technology (IT) infrastructure of LHSs including operating systems, databases, frameworks, interoperability software, and mobile and web apps. The recent literature around the development and use of key clinical data management tools is also reviewed. Conclusions: FLOSS already plays a critical role in modern health IT infrastructure for the collection, storage, and analysis of patient data. The nature of FLOSS systems to be collaborative, modular, and modifiable may make open source approaches appropriate for building the digital infrastructure for a LHS. Georg Thieme Verlag KG Stuttgart.
Busby, Ben; Lesko, Matthew; Federer, Lisa
2016-01-01
In genomics, bioinformatics and other areas of data science, gaps exist between extant public datasets and the open-source software tools built by the community to analyze similar data types. The purpose of biological data science hackathons is to assemble groups of genomics or bioinformatics professionals and software developers to rapidly prototype software to address these gaps. The only two rules for the NCBI-assisted hackathons run so far are that 1) data either must be housed in public data repositories or be deposited to such repositories shortly after the hackathon's conclusion, and 2) all software comprising the final pipeline must be open-source or open-use. Proposed topics, as well as suggested tools and approaches, are distributed to participants at the beginning of each hackathon and refined during the event. Software, scripts, and pipelines are developed and published on GitHub, a web service providing publicly available, free-usage tiers for collaborative software development. The code resulting from each hackathon is published at https://github.com/NCBI-Hackathons/ with separate directories or repositories for each team.
Cooperative Work and Sustainable Scientific Software Practices in R
NASA Astrophysics Data System (ADS)
Weber, N.
2013-12-01
Most scientific software projects are dependent on the work of many diverse people, institutions and organizations. Incentivizing these actors to cooperatively develop software that is both reliable, and sustainable is complicated by the fact that the reward structures of these various actors greatly differ: research scientists want results from a software or model run in order to publish papers, produce new data, or test a hypothesis; software engineers and research centers want compilable, well documented code that is refactorable, reusable and reproducible in future research scenarios. While much research has been done on incentives and motivations for participating in open source software projects or cyberinfrastrcture development, little work has been done on what motivates or incentivizes developers to maintain scientific software projects beyond their original application. This poster will present early results of research into the incentives and motivation for cooperative scientific software development. In particular, this work focuses on motivations for the maintenance and repair of libraries on the software platform R. Our work here uses a sample of R packages that were created by research centers, or are specific to earth, environmental and climate science applications. We first mined 'check' logs from the Comprehensive R Archive Network (CRAN) to determine the amount of time a package has existed, the number of versions it has gone through over this time, the number of releases, and finally the contact information for each official package 'maintainer'. We then sent a survey to each official maintainer, asking them questions about what role they played in developing the original package, and what their motivations were for sustaining the project over time. We will present early results from this mining and our survey of R maintainers.
Evaluating Open Source Portals
ERIC Educational Resources Information Center
Goh, Dion; Luyt, Brendan; Chua, Alton; Yee, See-Yong; Poh, Kia-Ngoh; Ng, How-Yeu
2008-01-01
Portals have become indispensable for organizations of all types trying to establish themselves on the Web. Unfortunately, there have only been a few evaluative studies of portal software and even fewer of open source portal software. This study aims to add to the available literature in this important area by proposing and testing a checklist for…
MyMolDB: a micromolecular database solution with open source and free components.
Xia, Bing; Tai, Zheng-Fu; Gu, Yu-Cheng; Li, Bang-Jing; Ding, Li-Sheng; Zhou, Yan
2011-10-01
To manage chemical structures in small laboratories is one of the important daily tasks. Few solutions are available on the internet, and most of them are closed source applications. The open-source applications typically have limited capability and basic cheminformatics functionalities. In this article, we describe an open-source solution to manage chemicals in research groups based on open source and free components. It has a user-friendly interface with the functions of chemical handling and intensive searching. MyMolDB is a micromolecular database solution that supports exact, substructure, similarity, and combined searching. This solution is mainly implemented using scripting language Python with a web-based interface for compound management and searching. Almost all the searches are in essence done with pure SQL on the database by using the high performance of the database engine. Thus, impressive searching speed has been archived in large data sets for no external Central Processing Unit (CPU) consuming languages were involved in the key procedure of the searching. MyMolDB is an open-source software and can be modified and/or redistributed under GNU General Public License version 3 published by the Free Software Foundation (Free Software Foundation Inc. The GNU General Public License, Version 3, 2007. Available at: http://www.gnu.org/licenses/gpl.html). The software itself can be found at http://code.google.com/p/mymoldb/. Copyright © 2011 Wiley Periodicals, Inc.
Locking Down the Software Development Environment
2014-12-01
OpenSSL code [13]. The OpenSSL software is, as the name implies, open source, a result of many developers coding beginning in 1998 using the C...programming language to build crypto services. OpenSSL is used widely both on the Internet and in firmware [13], further delaying the ability of many
PLOCAN glider portal: a gateway for useful data management and visualization system
NASA Astrophysics Data System (ADS)
Morales, Tania; Lorenzo, Alvaro; Viera, Josue; Barrera, Carlos; José Rueda, María
2014-05-01
Nowadays monitoring ocean behavior and its characteristics involves a wide range of sources able to gather and provide a vast amount of data in spatio-temporal scales. Multiplatform infrastructures, like PLOCAN, hold a variety of autonomous Lagrangian and Eulerian devices addressed to collect information then transferred to land in near-real time. Managing all this data collection in an efficient way is a major issue. Advances in ocean observation technologies, where underwater autonomous gliders play a key role, has brought as a consequence an improvement of spatio-temporal resolution which offers a deeper understanding of the ocean but requires a bigger effort in the data management process. There are general requirements in terms of data management in that kind of environments, such as processing raw data at different levels to obtain valuable information, storing data coherently and providing accurate products to final users according to their specific needs. Managing large amount of data can be certainly tedious and complex without having right tools and operational procedures; hence automating these tasks through software applications saves time and reduces errors. Moreover, data distribution is highly relevant since scientist tent to assimilate different sources for comparison and validation. The use of web applications has boosted the necessary scientific dissemination. Within this argument, PLOCAN has implemented a set of independent but compatible applications to process, store and disseminate information gathered through different oceanographic platforms. These applications have been implemented using open standards, such as HTML and CSS, and open source software, like python as programming language and Django as framework web. More specifically, a glider application has been developed within the framework of FP7-GROOM project. Regarding data management, this project focuses on collecting and making available consistent and quality controlled datasets as well as fostering open access to glider data.
Implementation, reliability, and feasibility test of an Open-Source PACS.
Valeri, Gianluca; Zuccaccia, Matteo; Badaloni, Andrea; Ciriaci, Damiano; La Riccia, Luigi; Mazzoni, Giovanni; Maggi, Stefania; Giovagnoni, Andrea
2015-12-01
To implement a hardware and software system able to perform the major functions of an Open-Source PACS, and to analyze it in a simulated real-world environment. A small home network was implemented, and the Open-Source operating system Ubuntu 11.10 was installed in a laptop containing the Dcm4chee suite with the software devices needed. The Open-Source PACS implemented is compatible with Linux OS, Microsoft OS, and Mac OS X; furthermore, it was used with operating systems that guarantee the operation in portable devices (smartphone, tablet) Android and iOS. An OSS PACS is useful for making tutorials and workshops on post-processing techniques for educational and training purposes.
OPM: The Open Porous Media Initiative
NASA Astrophysics Data System (ADS)
Flemisch, B.; Flornes, K. M.; Lie, K.; Rasmussen, A.
2011-12-01
The principal objective of the Open Porous Media (OPM) initiative is to develop a simulation suite that is capable of modeling industrially and scientifically relevant flow and transport processes in porous media and bridge the gap between the different application areas of porous media modeling, including reservoir mechanics, CO2 sequestration, biological systems, and product development of engineered media. The OPM initiative will provide a long-lasting, efficient, and well-maintained open-source software for flow and transport in porous media built on modern software principles. The suite is released under the GNU General Public License (GPL). Our motivation is to provide a means to unite industry and public research on simulation of flow and transport in porous media. For academic users, we seek to provide a software infrastructure that facilitates testing of new ideas on models with industry-standard complexity, while at the same time giving the researcher control over discretization and solvers. Similarly, we aim to accelerate the technology transfer from academic institutions to professional companies by making new research results available as free software of professional standard. The OPM initiative is currently supported by six research groups in Norway and Germany and funded by existing grants from public research agencies as well as from Statoil Petroleum and Total E&P Norge. However, a full-scale development of the OPM initiative requires substantially more funding and involvement of more research groups and potential end users. In this talk, we will provide an overview of the current activities in the OPM initiative. Special emphasis will be given to the demonstration of the synergies achieved by combining the strengths of individual open-source software components. In particular, a new fully implicit solver developed within the DUNE-based simulator DuMux could be enhanced by the ability to read industry-standard Eclipse input files and to run on grids given in corner-point format. Examples taken from the SPE comparative solution projects and CO2 sequestration benchmarks illustrate the current capabilities of the simulation suite.
Scaling Agile Infrastructure to People
NASA Astrophysics Data System (ADS)
Jones, B.; McCance, G.; Traylen, S.; Barrientos Arias, N.
2015-12-01
When CERN migrated its infrastructure away from homegrown fabric management tools to emerging industry-standard open-source solutions, the immediate technical challenges and motivation were clear. The move to a multi-site Cloud Computing model meant that the tool chains that were growing around this ecosystem would be a good choice, the challenge was to leverage them. The use of open-source tools brings challenges other than merely how to deploy them. Homegrown software, for all the deficiencies identified at the outset of the project, has the benefit of growing with the organization. This paper will examine what challenges there were in adapting open-source tools to the needs of the organization, particularly in the areas of multi-group development and security. Additionally, the increase in scale of the plant required changes to how Change Management was organized and managed. Continuous Integration techniques are used in order to manage the rate of change across multiple groups, and the tools and workflow for this will be examined.
Ensembl 2002: accommodating comparative genomics.
Clamp, M; Andrews, D; Barker, D; Bevan, P; Cameron, G; Chen, Y; Clark, L; Cox, T; Cuff, J; Curwen, V; Down, T; Durbin, R; Eyras, E; Gilbert, J; Hammond, M; Hubbard, T; Kasprzyk, A; Keefe, D; Lehvaslaiho, H; Iyer, V; Melsopp, C; Mongin, E; Pettett, R; Potter, S; Rust, A; Schmidt, E; Searle, S; Slater, G; Smith, J; Spooner, W; Stabenau, A; Stalker, J; Stupka, E; Ureta-Vidal, A; Vastrik, I; Birney, E
2003-01-01
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organise biology around the sequences of large genomes. It is a comprehensive source of stable automatic annotation of human, mouse and other genome sequences, available as either an interactive web site or as flat files. Ensembl also integrates manually annotated gene structures from external sources where available. As well as being one of the leading sources of genome annotation, Ensembl is an open source software engineering project to develop a portable system able to handle very large genomes and associated requirements. These range from sequence analysis to data storage and visualisation and installations exist around the world in both companies and at academic sites. With both human and mouse genome sequences available and more vertebrate sequences to follow, many of the recent developments in Ensembl have focusing on developing automatic comparative genome analysis and visualisation.
Open source Modeling and optimization tools for Planning
DOE Office of Scientific and Technical Information (OSTI.GOV)
Peles, S.
Open source modeling and optimization tools for planning The existing tools and software used for planning and analysis in California are either expensive, difficult to use, or not generally accessible to a large number of participants. These limitations restrict the availability of participants for larger scale energy and grid studies in the state. The proposed initiative would build upon federal and state investments in open source software, and create and improve open source tools for use in the state planning and analysis activities. Computational analysis and simulation frameworks in development at national labs and universities can be brought forward tomore » complement existing tools. An open source platform would provide a path for novel techniques and strategies to be brought into the larger community and reviewed by a broad set of stakeholders.« less
Bridging the Particle Physics and Big Data Worlds
NASA Astrophysics Data System (ADS)
Pivarski, James
2017-09-01
For decades, particle physicists have developed custom software because the scale and complexity of our problems were unique. In recent years, however, the ``big data'' industry has begun to tackle similar problems, and has developed some novel solutions. Incorporating scientific Python libraries, Spark, TensorFlow, and machine learning tools into the physics software stack can improve abstraction, reliability, and in some cases performance. Perhaps more importantly, it can free physicists to concentrate on domain-specific problems. Building bridges isn't always easy, however. Physics software and open-source software from industry differ in many incidental ways and a few fundamental ways. I will show work from the DIANA-HEP project to streamline data flow from ROOT to Numpy and Spark, to incorporate ideas of functional programming into histogram aggregation, and to develop real-time, query-style manipulations of particle data.
Teaching Radiology Physics Interactively with Scientific Notebook Software.
Richardson, Michael L; Amini, Behrang
2018-06-01
The goal of this study is to demonstrate how the teaching of radiology physics can be enhanced with the use of interactive scientific notebook software. We used the scientific notebook software known as Project Jupyter, which is free, open-source, and available for the Macintosh, Windows, and Linux operating systems. We have created a scientific notebook that demonstrates multiple interactive teaching modules we have written for our residents using the Jupyter notebook system. Scientific notebook software allows educators to create teaching modules in a form that combines text, graphics, images, data, interactive calculations, and image analysis within a single document. These notebooks can be used to build interactive teaching modules, which can help explain complex topics in imaging physics to residents. Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
LSST communications middleware implementation
NASA Astrophysics Data System (ADS)
Mills, Dave; Schumacher, German; Lotz, Paul
2016-07-01
The LSST communications middleware is based on a set of software abstractions; which provide standard interfaces for common communications services. The observatory requires communication between diverse subsystems, implemented by different contractors, and comprehensive archiving of subsystem status data. The Service Abstraction Layer (SAL) is implemented using open source packages that implement open standards of DDS (Data Distribution Service1) for data communication, and SQL (Standard Query Language) for database access. For every subsystem, abstractions for each of the Telemetry datastreams, along with Command/Response and Events, have been agreed with the appropriate component vendor (such as Dome, TMA, Hexapod), and captured in ICD's (Interface Control Documents).The OpenSplice (Prismtech) Community Edition of DDS provides an LGPL licensed distribution which may be freely redistributed. The availability of the full source code provides assurances that the project will be able to maintain it over the full 10 year survey, independent of the fortunes of the original providers.
The tensor network theory library
NASA Astrophysics Data System (ADS)
Al-Assam, S.; Clark, S. R.; Jaksch, D.
2017-09-01
In this technical paper we introduce the tensor network theory (TNT) library—an open-source software project aimed at providing a platform for rapidly developing robust, easy to use and highly optimised code for TNT calculations. The objectives of this paper are (i) to give an overview of the structure of TNT library, and (ii) to help scientists decide whether to use the TNT library in their research. We show how to employ the TNT routines by giving examples of ground-state and dynamical calculations of one-dimensional bosonic lattice system. We also discuss different options for gaining access to the software available at www.tensornetworktheory.org.
BeadArray Expression Analysis Using Bioconductor
Ritchie, Matthew E.; Dunning, Mark J.; Smith, Mike L.; Shi, Wei; Lynch, Andy G.
2011-01-01
Illumina whole-genome expression BeadArrays are a popular choice in gene profiling studies. Aside from the vendor-provided software tools for analyzing BeadArray expression data (GenomeStudio/BeadStudio), there exists a comprehensive set of open-source analysis tools in the Bioconductor project, many of which have been tailored to exploit the unique properties of this platform. In this article, we explore a number of these software packages and demonstrate how to perform a complete analysis of BeadArray data in various formats. The key steps of importing data, performing quality assessments, preprocessing, and annotation in the common setting of assessing differential expression in designed experiments will be covered. PMID:22144879
OpenCFU, a New Free and Open-Source Software to Count Cell Colonies and Other Circular Objects
Geissmann, Quentin
2013-01-01
Counting circular objects such as cell colonies is an important source of information for biologists. Although this task is often time-consuming and subjective, it is still predominantly performed manually. The aim of the present work is to provide a new tool to enumerate circular objects from digital pictures and video streams. Here, I demonstrate that the created program, OpenCFU, is very robust, accurate and fast. In addition, it provides control over the processing parameters and is implemented in an intuitive and modern interface. OpenCFU is a cross-platform and open-source software freely available at http://opencfu.sourceforge.net. PMID:23457446
NASA Technical Reports Server (NTRS)
Davis, Kirsch; Bankieris, Derek
2016-01-01
As an intern project for NASA Johnson Space Center (JSC), my job was to familiarize myself and operate a Robotics Operating System (ROS). The project outcome converted existing software assets into ROS using nodes, enabling a robotic Hexapod to communicate to be functional and controlled by an existing PlayStation 3 (PS3) controller. Existing control algorithms and current libraries have no ROS capabilities within the Hexapod C++ source code when the internship started, but that has changed throughout my internship. Conversion of C++ codes to ROS enabled existing code to be compatible with ROS, and is now controlled using an existing PS3 controller. Furthermore, my job description was to design ROS messages and script programs that enabled assets to participate in the ROS ecosystem by subscribing and publishing messages. Software programming source code is written in directories using C++. Testing of software assets included compiling code within the Linux environment using a terminal. The terminal ran the code from a directory. Several problems occurred while compiling code and the code would not compile. So modifying code to where C++ can read the source code were made. Once the code was compiled and ran, the code was uploaded to Hexapod and then controlled by a PS3 controller. The project outcome has the Hexapod fully functional and compatible with ROS and operates using the PlayStation 3 controller. In addition, an open source software (IDE) Arduino board will be integrated into the ecosystem with designing circuitry on a breadboard to add additional behavior with push buttons, potentiometers and other simple elements in the electrical circuitry. Other projects with the Arduino will be a GPS module, digital clock that will run off 22 satellites to show accurate real time using a GPS signal and an internal patch antenna to communicate with satellites. In addition, this internship experience has led me to pursue myself to learn coding more efficiently and effectively to write, subscribe and publish my own source code in different programming languages. With some familiarity with software programming, it will enhance my skills in the electrical engineering field. In contrast, my experience here at JSC with the Simulation and Graphics Branch (ER7) has led me to take my coding skill to be more proficient to increase my knowledge in software programming, and also enhancing my skills in ROS. This knowledge will be taken back to my university to implement coding in a school project that will use source coding and ROS to work on the PR2 robot which is controlled by ROS software. My skills learned here will be used to integrate messages to subscribe and publish ROS messages to a PR2 robot. The PR2 robot will be controlled by an existing PS3 controller by changing C++ coding to subscribe and publish messages to ROS. Overall the skills that were obtained here will not be lost, but increased.
Open Standards, Open Source, and Open Innovation: Harnessing the Benefits of Openness
ERIC Educational Resources Information Center
Committee for Economic Development, 2006
2006-01-01
Digitization of information and the Internet have profoundly expanded the capacity for openness. This report details the benefits of openness in three areas--open standards, open-source software, and open innovation--and examines the major issues in the debate over whether openness should be encouraged or not. The report explains each of these…
NASA Technical Reports Server (NTRS)
Teubert, Christopher; Sankararaman, Shankar; Cullo, Aiden
2017-01-01
Readme for the Random Variable Toolbox usable manner. is a Web-based Git version control repository hosting service. It is mostly used for computer code. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for every project.[3] GitHub offers both plans for private and free repositories on the same account[4] which are commonly used to host open-source software projects.[5] As of April 2017, GitHub reports having almost 20 million users and 57 million repositories,[6] making it the largest host of source code in the world.[7] GitHub has a mascot called Octocat, a cat with five tentacles and a human-like face
Photogrammetric Measurements in Fixed Wing Uav Imagery
NASA Astrophysics Data System (ADS)
Gülch, E.
2012-07-01
Several flights have been undertaken with PAMS (Photogrammetric Aerial Mapping System) by Germap, Germany, which is briefly introduced. This system is based on the SmartPlane fixed-wing UAV and a CANON IXUS camera system. The plane is equipped with GPS and has an infrared sensor system to estimate attitude values. A software has been developed to link the PAMS output to a standard photogrammetric processing chain built on Trimble INPHO. The linking of the image files and image IDs and the handling of different cases with partly corrupted output have to be solved to generate an INPHO project file. Based on this project file the software packages MATCH-AT, MATCH-T DSM, OrthoMaster and OrthoVista for digital aerial triangulation, DTM/DSM generation and finally digital orthomosaik generation are applied. The focus has been on investigations on how to adapt the "usual" parameters for the digital aerial triangulation and other software to the UAV flight conditions, which are showing high overlaps, large kappa angles and a certain image blur in case of turbulences. It was found, that the selected parameter setup shows a quite stable behaviour and can be applied to other flights. A comparison is made to results from other open source multi-ray matching software to handle the issue of the described flight conditions. Flights over the same area at different times have been compared to each other. The major objective was here to see, on how far differences occur relative to each other, without having access to ground control data, which would have a potential for applications with low requirements on the absolute accuracy. The results show, that there are influences of weather and illumination visible. The "unusual" flight pattern, which shows big time differences for neighbouring strips has an influence on the AT and DTM/DSM generation. The results obtained so far do indicate problems in the stability of the camera calibration. This clearly requests a usage of GCPs for all projects, independent on the application. The effort is estimated to be even higher as expected, as also self-calibration will be an issue to handle a possibly instable camera calibration. To overcome some of the encountered problems with the very specific features of UAV flights a software UAVision was developed based on Open Source libraries to produce input data for bundle adjustment of UAV images by PAMS. The empirical test results show a considerable improvement in the matching of tie points. The results do, however, show that the Open Source bundle adjustment was not applicable to this type of imagery. This still leaves the possibility to use the improved tie point correspondences in the commercial AT package.
E-Standards For Mass Properties Engineering
NASA Technical Reports Server (NTRS)
Cerro, Jeffrey A.
2008-01-01
A proposal is put forth to promote the concept of a Society of Allied Weight Engineers developed voluntary consensus standard for mass properties engineering. This standard would be an e-standard, and would encompass data, data manipulation, and reporting functionality. The standard would be implemented via an open-source SAWE distribution site with full SAWE member body access. Engineering societies and global standards initiatives are progressing toward modern engineering standards, which become functioning deliverable data sets. These data sets, if properly standardized, will integrate easily between supplier and customer enabling technically precise mass properties data exchange. The concepts of object-oriented programming support all of these requirements, and the use of a JavaTx based open-source development initiative is proposed. Results are reported for activity sponsored by the NASA Langley Research Center Innovation Institute to scope out requirements for developing a mass properties engineering e-standard. An initial software distribution is proposed. Upon completion, an open-source application programming interface will be available to SAWE members for the development of more specific programming requirements that are tailored to company and project requirements. A fully functioning application programming interface will permit code extension via company proprietary techniques, as well as through continued open-source initiatives.
Solar wind monitor—a school geophysics project
NASA Astrophysics Data System (ADS)
Robinson, Ian
2018-05-01
Described is an established geophysics project to construct a solar wind monitor based on a nT resolution fluxgate magnetometer. Low-cost and appropriate from school to university level it incorporates elements of astrophysics, geophysics, electronics, programming, computer networking and signal processing. The system monitors the earth’s field in real-time uploading data and graphs to a website every few minutes. Modular design encourages construction and testing by teams of students as well as expansion and refinement. The system has been tested running unattended for months at a time. Both the hardware design and software is published as open-source [1, 10].
Picante: R tools for integrating phylogenies and ecology.
Kembel, Steven W; Cowan, Peter D; Helmus, Matthew R; Cornwell, William K; Morlon, Helene; Ackerly, David D; Blomberg, Simon P; Webb, Campbell O
2010-06-01
Picante is a software package that provides a comprehensive set of tools for analyzing the phylogenetic and trait diversity of ecological communities. The package calculates phylogenetic diversity metrics, performs trait comparative analyses, manipulates phenotypic and phylogenetic data, and performs tests for phylogenetic signal in trait distributions, community structure and species interactions. Picante is a package for the R statistical language and environment written in R and C, released under a GPL v2 open-source license, and freely available on the web (http://picante.r-forge.r-project.org) and from CRAN (http://cran.r-project.org).
ERIC Educational Resources Information Center
Vanfretti, L.; Milano, F.
2012-01-01
This paper describes how the use of free and open-source software (FOSS) can facilitate the application of constructive alignment theory in power systems engineering education by enabling the deep learning approach in power system analysis courses. With this aim, this paper describes the authors' approach in using the Power System Analysis Toolbox…
Learning and Best Practices for Learning in Open-Source Software Communities
ERIC Educational Resources Information Center
Singh, Vandana; Holt, Lila
2013-01-01
This research is about participants who use open-source software (OSS) discussion forums for learning. Learning in online communities of education as well as non-education-related online communities has been studied under the lens of social learning theory and situated learning for a long time. In this research, we draw parallels among these two…
Oostenveld, Robert; Fries, Pascal; Maris, Eric; Schoffelen, Jan-Mathijs
2011-01-01
This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.
Open Crowdsourcing: Leveraging Community Software Developers for IT Projects
ERIC Educational Resources Information Center
Phair, Derek
2012-01-01
This qualitative exploratory single-case study was designed to examine and understand the use of volunteer community participants as software developers and other project related roles, such as testers, in completing a web-based application project by a non-profit organization. This study analyzed the strategic decision to engage crowd…
Python for large-scale electrophysiology.
Spacek, Martin; Blanche, Tim; Swindale, Nicholas
2008-01-01
Electrophysiology is increasingly moving towards highly parallel recording techniques which generate large data sets. We record extracellularly in vivo in cat and rat visual cortex with 54-channel silicon polytrodes, under time-locked visual stimulation, from localized neuronal populations within a cortical column. To help deal with the complexity of generating and analysing these data, we used the Python programming language to develop three software projects: one for temporally precise visual stimulus generation ("dimstim"); one for electrophysiological waveform visualization and spike sorting ("spyke"); and one for spike train and stimulus analysis ("neuropy"). All three are open source and available for download (http://swindale.ecc.ubc.ca/code). The requirements and solutions for these projects differed greatly, yet we found Python to be well suited for all three. Here we present our software as a showcase of the extensive capabilities of Python in neuroscience.
OpenMx: An Open Source Extended Structural Equation Modeling Framework
ERIC Educational Resources Information Center
Boker, Steven; Neale, Michael; Maes, Hermine; Wilde, Michael; Spiegel, Michael; Brick, Timothy; Spies, Jeffrey; Estabrook, Ryne; Kenny, Sarah; Bates, Timothy; Mehta, Paras; Fox, John
2011-01-01
OpenMx is free, full-featured, open source, structural equation modeling (SEM) software. OpenMx runs within the "R" statistical programming environment on Windows, Mac OS-X, and Linux computers. The rationale for developing OpenMx is discussed along with the philosophy behind the user interface. The OpenMx data structures are…
Ganry, L; Hersant, B; Quilichini, J; Leyder, P; Meningaud, J P
2017-06-01
Tridimensional (3D) surgical modelling is a necessary step to create 3D-printed surgical tools, and expensive professional software is generally needed. Open-source software are functional, reliable, updated, may be downloaded for free and used to produce 3D models. Few surgical teams have used free solutions for mastering 3D surgical modelling for reconstructive surgery with osseous free flaps. We described an Open-source software 3D surgical modelling protocol to perform a fast and nearly free mandibular reconstruction with microvascular fibula free flap and its surgical guides, with no need for engineering support. Four successive specialised Open-source software were used to perform our 3D modelling: OsiriX ® , Meshlab ® , Netfabb ® and Blender ® . Digital Imaging and Communications in Medicine (DICOM) data on patient skull and fibula, obtained with a computerised tomography (CT) scan, were needed. The 3D modelling of the reconstructed mandible and its surgical guides were created. This new strategy may improve surgical management in Oral and Craniomaxillofacial surgery. Further clinical studies are needed to demonstrate the feasibility, reproducibility, transfer of know how and benefits of this technique. Copyright © 2017 Elsevier Masson SAS. All rights reserved.
FOUNTAIN: A JAVA open-source package to assist large sequencing projects
Buerstedde, Jean-Marie; Prill, Florian
2001-01-01
Background Better automation, lower cost per reaction and a heightened interest in comparative genomics has led to a dramatic increase in DNA sequencing activities. Although the large sequencing projects of specialized centers are supported by in-house bioinformatics groups, many smaller laboratories face difficulties managing the appropriate processing and storage of their sequencing output. The challenges include documentation of clones, templates and sequencing reactions, and the storage, annotation and analysis of the large number of generated sequences. Results We describe here a new program, named FOUNTAIN, for the management of large sequencing projects . FOUNTAIN uses the JAVA computer language and data storage in a relational database. Starting with a collection of sequencing objects (clones), the program generates and stores information related to the different stages of the sequencing project using a web browser interface for user input. The generated sequences are subsequently imported and annotated based on BLAST searches against the public databases. In addition, simple algorithms to cluster sequences and determine putative polymorphic positions are implemented. Conclusions A simple, but flexible and scalable software package is presented to facilitate data generation and storage for large sequencing projects. Open source and largely platform and database independent, we wish FOUNTAIN to be improved and extended in a community effort. PMID:11591214
Steiner, Andreas; Hella, Jerry; Grüninger, Servan; Mhalu, Grace; Mhimbira, Francis; Cercamondi, Colin I; Doulla, Basra; Maire, Nicolas; Fenner, Lukas
2016-09-01
A software tool is developed to facilitate data entry and to monitor research projects in under-resourced countries in real-time. The eManagement tool "odk_planner" is written in the scripting languages PHP and Python. The odk_planner is lightweight and uses minimal internet resources. It was designed to be used with the open source software Open Data Kit (ODK). The users can easily configure odk_planner to meet their needs, and the online interface displays data collected from ODK forms in a graphically informative way. The odk_planner also allows users to upload pictures and laboratory results and sends text messages automatically. User-defined access rights protect data and privacy. We present examples from four field applications in Tanzania successfully using the eManagement tool: 1) clinical trial; 2) longitudinal Tuberculosis (TB) Cohort Study with a complex visit schedule, where it was used to graphically display missing case report forms, upload digitalized X-rays, and send text message reminders to patients; 3) intervention study to improve TB case detection, carried out at pharmacies: a tablet-based electronic referral system monitored referred patients, and sent automated messages to remind pharmacy clients to visit a TB Clinic; and 4) TB retreatment case monitoring designed to improve drug resistance surveillance: clinicians at four public TB clinics and lab technicians at the TB reference laboratory used a smartphone-based application that tracked sputum samples, and collected clinical and laboratory data. The user friendly, open source odk_planner is a simple, but multi-functional, Web-based eManagement tool with add-ons that helps researchers conduct studies in under-resourced countries. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Shenoy, Shailesh M
2016-07-01
A challenge in any imaging laboratory, especially one that uses modern techniques, is to achieve a sustainable and productive balance between using open source and commercial software to perform quantitative image acquisition, analysis and visualization. In addition to considering the expense of software licensing, one must consider factors such as the quality and usefulness of the software's support, training and documentation. Also, one must consider the reproducibility with which multiple people generate results using the same software to perform the same analysis, how one may distribute their methods to the community using the software and the potential for achieving automation to improve productivity.
Moody, George B; Mark, Roger G; Goldberger, Ary L
2011-01-01
PhysioNet provides free web access to over 50 collections of recorded physiologic signals and time series, and related open-source software, in support of basic, clinical, and applied research in medicine, physiology, public health, biomedical engineering and computing, and medical instrument design and evaluation. Its three components (PhysioBank, the archive of signals; PhysioToolkit, the software library; and PhysioNetWorks, the virtual laboratory for collaborative development of future PhysioBank data collections and PhysioToolkit software components) connect researchers and students who need physiologic signals and relevant software with researchers who have data and software to share. PhysioNet's annual open engineering challenges stimulate rapid progress on unsolved or poorly solved questions of basic or clinical interest, by focusing attention on achievable solutions that can be evaluated and compared objectively using freely available reference data.
A New Architecture for Visualization: Open Mission Control Technologies
NASA Technical Reports Server (NTRS)
Trimble, Jay
2017-01-01
Open Mission Control Technologies (MCT) is a new architecture for visualisation of mission data. Driven by requirements for new mission capabilities, including distributed mission operations, access to data anywhere, customization by users, synthesis of multiple data sources, and flexibility for multi-mission adaptation, Open MCT provides users with an integrated customizable environment. Developed at NASAs Ames Research Center (ARC), in collaboration with NASAs Advanced Multimission Operations System (AMMOS) and NASAs Jet Propulsion Laboratory (JPL), Open MCT is getting its first mission use on the Jason 3 Mission, and is also available in the testbed for the Mars 2020 Rover and for development use for NASAs Resource Prospector Lunar Rover. The open source nature of the project provides for use outside of space missions, including open source contributions from a community of users. The defining features of Open MCT for mission users are data integration, end user composition and multiple views. Data integration provides access to mission data across domains in one place, making data such as activities, timelines, telemetry, imagery, event timers and procedures available in one place, without application switching. End user composition provides users with layouts, which act as a canvas to assemble visualisations. Multiple views provide the capability to view the same data in different ways, with live switching of data views in place. Open MCT is browser based, and works on the desktop as well as tablets and phones, providing access to data anywhere. An early use case for mobile data access took place on the Resource Prospector (RP) Mission Distributed Operations Test, in which rover engineers in the field were able to view telemetry on their phones. We envision this capability providing decision support to on console operators from off duty personnel. The plug-in architecture also allows for adaptation for different mission capabilities. Different data types and capabilities may be added or removed using plugins. An API provides a means to write new capabilities and to create data adaptors. Data plugins exist for mission data sources for NASA missions. Adaptors have been written by international and commercial users. Open MCT is open source. Open source enables collaborative development across organizations and also makes the product available outside of the space community, providing a potential source of usage and ideas to drive product design and development. The combination of open source with an Apache 2 license, and distribution on GitHub, has enabled an active community of users and contributors. The spectrum of users for Open MCT is, to our knowledge, unprecedented for mission software. In addition to our NASA users, we have, through open source, had users and inquires on projects ranging from Internet of Things, to radio hobbyists, to farming projects. We have an active community of contributors, enabling a flow of ideas inside and outside of the space community.
Wang, Anliang; Yan, Xiaolong; Wei, Zhijun
2018-04-27
This note presents the design of a scalable software package named ImagePy for analysing biological images. Our contribution is concentrated on facilitating extensibility and interoperability of the software through decoupling the data model from the user interface. Especially with assistance from the Python ecosystem, this software framework makes modern computer algorithms easier to be applied in bioimage analysis. ImagePy is free and open source software, with documentation and code available at https://github.com/Image-Py/imagepy under the BSD license. It has been tested on the Windows, Mac and Linux operating systems. wzjdlut@dlut.edu.cn or yxdragon@imagepy.org.
OpenMS: a flexible open-source software platform for mass spectrometry data analysis.
Röst, Hannes L; Sachsenberg, Timo; Aiche, Stephan; Bielow, Chris; Weisser, Hendrik; Aicheler, Fabian; Andreotti, Sandro; Ehrlich, Hans-Christian; Gutenbrunner, Petra; Kenar, Erhan; Liang, Xiao; Nahnsen, Sven; Nilse, Lars; Pfeuffer, Julianus; Rosenberger, George; Rurik, Marc; Schmitt, Uwe; Veit, Johannes; Walzer, Mathias; Wojnar, David; Wolski, Witold E; Schilling, Oliver; Choudhary, Jyoti S; Malmström, Lars; Aebersold, Ruedi; Reinert, Knut; Kohlbacher, Oliver
2016-08-30
High-resolution mass spectrometry (MS) has become an important tool in the life sciences, contributing to the diagnosis and understanding of human diseases, elucidating biomolecular structural information and characterizing cellular signaling networks. However, the rapid growth in the volume and complexity of MS data makes transparent, accurate and reproducible analysis difficult. We present OpenMS 2.0 (http://www.openms.de), a robust, open-source, cross-platform software specifically designed for the flexible and reproducible analysis of high-throughput MS data. The extensible OpenMS software implements common mass spectrometric data processing tasks through a well-defined application programming interface in C++ and Python and through standardized open data formats. OpenMS additionally provides a set of 185 tools and ready-made workflows for common mass spectrometric data processing tasks, which enable users to perform complex quantitative mass spectrometric analyses with ease.
Easy research data handling with an OpenEarth DataLab for geo-monitoring research
NASA Astrophysics Data System (ADS)
Vanderfeesten, Maurice; van der Kuil, Annemiek; Prinčič, Alenka; den Heijer, Kees; Rombouts, Jeroen
2015-04-01
OpenEarth DataLab is an open source-based collaboration and processing platform to enable streamlined research data management from raw data ingest and transformation to interoperable distribution. It enables geo-scientists to easily synchronise, share, compute and visualise the dynamic and most up-to-date research data, scripts and models in multi-stakeholder geo-monitoring programs. This DataLab is developed by the Research Data Services team of TU Delft Library and 3TU.Datacentrum together with coastal engineers of Delft University of Technology and Deltares. Based on the OpenEarth software stack an environment has been developed to orchestrate numerous geo-related open source software components that can empower researchers and increase the overall research quality by managing research data; enabling automatic and interoperable data workflows between all the components with track & trace, hit & run data transformation processing in cloud infrastructure using MatLab and Python, synchronisation of data and scripts (SVN), and much more. Transformed interoperable data products (KML, NetCDF, PostGIS) can be used by ready-made OpenEarth tools for further analyses and visualisation, and can be distributed via interoperable channels such as THREDDS (OpenDAP) and GeoServer. An example of a successful application of OpenEarth DataLab is the Sand Motor, an innovative method for coastal protection in the Netherlands. The Sand Motor is a huge volume of sand that has been applied along the coast to be spread naturally by wind, waves and currents. Different research disciplines are involved concerned with: weather, waves and currents, sand distribution, water table and water quality, flora and fauna, recreation and management. Researchers share and transform their data in the OpenEarth DataLab, that makes it possible to combine their data and to see influence of different aspects of the coastal protection on their models. During the project the data are available only for the researchers involved. After the project a large part of the data and scripts will be published with DOI in the Data Archive of 3TU.Datacentrum for reuse in new research. For the 83 project members of the Sand Motor, the OpenEarth DataLab is available on www.zandmotordata.nl. The OpenEarth DataLab not only saves time and increases quality, but has the potential to open new frontiers for exploring cross-domain analysis and visualisations, revealing new scientific insights.
SBSI: an extensible distributed software infrastructure for parameter estimation in systems biology
Adams, Richard; Clark, Allan; Yamaguchi, Azusa; Hanlon, Neil; Tsorman, Nikos; Ali, Shakir; Lebedeva, Galina; Goltsov, Alexey; Sorokin, Anatoly; Akman, Ozgur E.; Troein, Carl; Millar, Andrew J.; Goryanin, Igor; Gilmore, Stephen
2013-01-01
Summary: Complex computational experiments in Systems Biology, such as fitting model parameters to experimental data, can be challenging to perform. Not only do they frequently require a high level of computational power, but the software needed to run the experiment needs to be usable by scientists with varying levels of computational expertise, and modellers need to be able to obtain up-to-date experimental data resources easily. We have developed a software suite, the Systems Biology Software Infrastructure (SBSI), to facilitate the parameter-fitting process. SBSI is a modular software suite composed of three major components: SBSINumerics, a high-performance library containing parallelized algorithms for performing parameter fitting; SBSIDispatcher, a middleware application to track experiments and submit jobs to back-end servers; and SBSIVisual, an extensible client application used to configure optimization experiments and view results. Furthermore, we have created a plugin infrastructure to enable project-specific modules to be easily installed. Plugin developers can take advantage of the existing user-interface and application framework to customize SBSI for their own uses, facilitated by SBSI’s use of standard data formats. Availability and implementation: All SBSI binaries and source-code are freely available from http://sourceforge.net/projects/sbsi under an Apache 2 open-source license. The server-side SBSINumerics runs on any Unix-based operating system; both SBSIVisual and SBSIDispatcher are written in Java and are platform independent, allowing use on Windows, Linux and Mac OS X. The SBSI project website at http://www.sbsi.ed.ac.uk provides documentation and tutorials. Contact: stg@inf.ed.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. PMID:23329415
The Confluence of GIS, Cloud and Open Source, Enabling Big Raster Data Applications
NASA Astrophysics Data System (ADS)
Plesea, L.; Emmart, C. B.; Boller, R. A.; Becker, P.; Baynes, K.
2016-12-01
The rapid evolution of available cloud services is profoundly changing the way applications are being developed and used. Massive object stores, service scalability, continuous integration are some of the most important cloud technology advances that directly influence science applications and GIS. At the same time, more and more scientists are using GIS platforms in their day to day research. Yet with new opportunities there are always some challenges. Given the large amount of data commonly required in science applications, usually large raster datasets, connectivity is one of the biggest problems. Connectivity has two aspects, one being the limited bandwidth and latency of the communication link due to the geographical location of the resources, the other one being the interoperability and intrinsic efficiency of the interface protocol used to connect. NASA and Esri are actively helping each other and collaborating on a few open source projects, aiming to provide some of the core technology components to directly address the GIS enabled data connectivity problems. Last year Esri contributed LERC, a very fast and efficient compression algorithm to the GDAL/MRF format, which itself is a NASA/Esri collaboration project. The MRF raster format has some cloud aware features that make it possible to build high performance web services on cloud platforms, as some of the Esri projects demonstrate. Currently, another NASA open source project, the high performance OnEarth WMTS server is being refactored and enhanced to better integrate with MRF, GDAL and Esri software. Taken together, the GDAL, MRF and OnEarth form the core of an open source CloudGIS toolkit that is already showing results. Since it is well integrated with GDAL, which is the most common interoperability component of GIS applications, this approach should improve the connectivity and performance of many science and GIS applications in the cloud.
Walsh, James; Böcking, Till; Gaus, Katharina
2017-01-01
Modern fluorescence microscopy requires software-controlled illumination sources with high power across a wide range of wavelengths. Diode lasers meet the power requirements and combining multiple units into a single fiber launch expands their capability across the required spectral range. We present the NicoLase, an open-source diode laser combiner, fiber launch, and software sequence controller for fluorescence microscopy and super-resolution microscopy applications. Two configurations are described, giving four or six output wavelengths and one or two single-mode fiber outputs, with all CAD files, machinist drawings, and controller source code openly available. PMID:28301563
Environmental Information Management For Data Discovery and Access System
NASA Astrophysics Data System (ADS)
Giriprakash, P.
2011-01-01
Mercury is a federated metadata harvesting, search and retrieval tool based on both open source software and software developed at Oak Ridge National Laboratory. It was originally developed for NASA, and the Mercury development consortium now includes funding from NASA, USGS, and DOE. A major new version of Mercury was developed during 2007 and released in early 2008. This new version provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, support for RSS delivery of search results, and ready customization to meet the needs of the multiple projects which use Mercury. For the end users, Mercury provides a single portal to very quickly search for data and information contained in disparate data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow ! the users to perform simple, fielded, spatial and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data.
Fiji: an open-source platform for biological-image analysis.
Schindelin, Johannes; Arganda-Carreras, Ignacio; Frise, Erwin; Kaynig, Verena; Longair, Mark; Pietzsch, Tobias; Preibisch, Stephan; Rueden, Curtis; Saalfeld, Stephan; Schmid, Benjamin; Tinevez, Jean-Yves; White, Daniel James; Hartenstein, Volker; Eliceiri, Kevin; Tomancak, Pavel; Cardona, Albert
2012-06-28
Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
Herbst, Christian T; Oh, Jinook; Vydrová, Jitka; Švec, Jan G
2015-07-01
In this short report we introduce DigitalVHI, a free open-source software application for obtaining Voice Handicap Index (VHI) and other questionnaire data, which can be put on a computer in clinics and used in clinical practice. The software can simplify performing clinical studies since it makes the VHI scores directly available for analysis in a digital form. It can be downloaded from http://www.christian-herbst.org/DigitalVHI/.
An object oriented implementation of the Yeadon human inertia model
Dembia, Christopher; Moore, Jason K.; Hubbard, Mont
2015-01-01
We present an open source software implementation of a popular mathematical method developed by M.R. Yeadon for calculating the body and segment inertia parameters of a human body. The software is written in a high level open source language and provides three interfaces for manipulating the data and the model: a Python API, a command-line user interface, and a graphical user interface. Thus the software can fit into various data processing pipelines and requires only simple geometrical measures as input. PMID:25717365
An object oriented implementation of the Yeadon human inertia model.
Dembia, Christopher; Moore, Jason K; Hubbard, Mont
2014-01-01
We present an open source software implementation of a popular mathematical method developed by M.R. Yeadon for calculating the body and segment inertia parameters of a human body. The software is written in a high level open source language and provides three interfaces for manipulating the data and the model: a Python API, a command-line user interface, and a graphical user interface. Thus the software can fit into various data processing pipelines and requires only simple geometrical measures as input.
EarthEd Online: Open Source Online Software to Support Large Courses
NASA Astrophysics Data System (ADS)
Prothero, W. A.
2003-12-01
The purpose of the EarthEd Online software project is to support a modern instructional pedagogy in a large, college level, earth science course. It is an ongoing development project that has evolved in a large general education oceanography course over the last decade. Primary goals for the oceanography course are to support learners in acquiring a knowledge of science process, an appreciation for the relevance of science to society, and basic content knowledge. In order to support these goals, EarthEd incorporates: a) integrated access to various kinds of real earth data (and links to web-based data browsers), b) online discussions, live chat, with integrated graphics editing, linking, and upload, c) online writing, reviewing, and grading, d) online homework assignments, e) on demand grade calculation, and f) instructor grade entry and progress reports. The software was created using Macromedia Director. It is distributed to students on a CDROM and updates are downloaded and installed automatically. Data browsers for plate tectonics relevant data ("Our Dynamic Planet"), a virtual exploration of the East Pacific Rise, the World Ocean Atlas-98, and a fishing simulation game are integrated with the EarthEd software. The system is modular which allows new capabilities, such as new data browsers, to be added. Student reactions to the software are positive overall. They are especially appreciative of the on demand grade computation capability. The online writing, commenting and grading is particularly effective in managing the large number of papers that get submitted. The TA's grade the papers, but the instructor can provide feedback to them as they grade the papers, and a record is maintained of all comments and rubric item grades. Commenting is made easy by simply "dragging" a selection of pre-defined comments into the student's text. Scoring is supported by an integrated scoring rubric. All assignments, rubrics, etc. are configured in text files that are downloaded from the course web server. Students rate the writing assignments as the most effective learning activity in the course. This project is in an evaluation and dissemination phase. An open source model is planned for distribution. For documentation and information about the EarthEd team, see: http://oceanography.geol.ucsb.edu/Collab/software.html
Digital beacon receiver for ionospheric TEC measurement developed with GNU Radio
NASA Astrophysics Data System (ADS)
Yamamoto, M.
2008-11-01
A simple digital receiver named GNU Radio Beacon Receiver (GRBR) was developed for the satellite-ground beacon experiment to measure the ionospheric total electron content (TEC). The open-source software toolkit for the software defined radio, GNU Radio, is utilized to realize the basic function of the receiver and perform fast signal processing. The software is written in Python for a LINUX PC. The open-source hardware called Universal Software Radio Peripheral (USRP), which best matches the GNU Radio, is used as a front-end to acquire the satellite beacon signals of 150 and 400 MHz. The first experiment was successful as results from GRBR showed very good agreement to those from the co-located analog beacon receiver. Detailed design information and software codes are open at the URL http://www.rish.kyoto-u.ac.jp/digitalbeacon/.
Are Earth System model software engineering practices fit for purpose? A case study.
NASA Astrophysics Data System (ADS)
Easterbrook, S. M.; Johns, T. C.
2009-04-01
We present some analysis and conclusions from a case study of the culture and practices of scientists at the Met Office and Hadley Centre working on the development of software for climate and Earth System models using the MetUM infrastructure. The study examined how scientists think about software correctness, prioritize their requirements in making changes, and develop a shared understanding of the resulting models. We conclude that highly customized techniques driven strongly by scientific research goals have evolved for verification and validation of such models. In a formal software engineering context these represents costly, but invaluable, software integration tests with considerable benefits. The software engineering practices seen also exhibit recognisable features of both agile and open source software development projects - self-organisation of teams consistent with a meritocracy rather than top-down organisation, extensive use of informal communication channels, and software developers who are generally also users and science domain experts. We draw some general conclusions on whether these practices work well, and what new software engineering challenges may lie ahead as Earth System models become ever more complex and petascale computing becomes the norm.
Busby, Ben; Lesko, Matthew; Federer, Lisa
2016-01-01
In genomics, bioinformatics and other areas of data science, gaps exist between extant public datasets and the open-source software tools built by the community to analyze similar data types. The purpose of biological data science hackathons is to assemble groups of genomics or bioinformatics professionals and software developers to rapidly prototype software to address these gaps. The only two rules for the NCBI-assisted hackathons run so far are that 1) data either must be housed in public data repositories or be deposited to such repositories shortly after the hackathon’s conclusion, and 2) all software comprising the final pipeline must be open-source or open-use. Proposed topics, as well as suggested tools and approaches, are distributed to participants at the beginning of each hackathon and refined during the event. Software, scripts, and pipelines are developed and published on GitHub, a web service providing publicly available, free-usage tiers for collaborative software development. The code resulting from each hackathon is published at https://github.com/NCBI-Hackathons/ with separate directories or repositories for each team. PMID:27134733
BIAS: Bioinformatics Integrated Application Software.
Finak, G; Godin, N; Hallett, M; Pepin, F; Rajabi, Z; Srivastava, V; Tang, Z
2005-04-15
We introduce a development platform especially tailored to Bioinformatics research and software development. BIAS (Bioinformatics Integrated Application Software) provides the tools necessary for carrying out integrative Bioinformatics research requiring multiple datasets and analysis tools. It follows an object-relational strategy for providing persistent objects, allows third-party tools to be easily incorporated within the system and supports standards and data-exchange protocols common to Bioinformatics. BIAS is an OpenSource project and is freely available to all interested users at http://www.mcb.mcgill.ca/~bias/. This website also contains a paper containing a more detailed description of BIAS and a sample implementation of a Bayesian network approach for the simultaneous prediction of gene regulation events and of mRNA expression from combinations of gene regulation events. hallett@mcb.mcgill.ca.
TRACC: an open source software for processing sap flux data from thermal dissipation probes
Eric J. Ward; Jean-Christophe Domec; John King; Ge Sun; Steve McNulty; Asko Noormets
2017-01-01
Key message TRACC is an open-source software for standardizing the cleaning, conversion, and calibration of sap flux density data from thermal dissipation probes, which addresses issues of nighttime transpiration and water storage. Abstract Thermal dissipation probes (TDPs) have become a widely used method of monitoring plant water use in recent years. The use of TDPs...
ERIC Educational Resources Information Center
Britton, Todd Alan
2014-01-01
Purpose: The purpose of this study was to examine the key considerations of community, scalability, supportability, security, and functionality for selecting open-source software in California universities as perceived by technology leaders. Methods: After a review of the cogent literature, the key conceptual framework categories were identified…
Research on cross - Project software defect prediction based on transfer learning
NASA Astrophysics Data System (ADS)
Chen, Ya; Ding, Xiaoming
2018-04-01
According to the two challenges in the prediction of cross-project software defects, the distribution differences between the source project and the target project dataset and the class imbalance in the dataset, proposing a cross-project software defect prediction method based on transfer learning, named NTrA. Firstly, solving the source project data's class imbalance based on the Augmented Neighborhood Cleaning Algorithm. Secondly, the data gravity method is used to give different weights on the basis of the attribute similarity of source project and target project data. Finally, a defect prediction model is constructed by using Trad boost algorithm. Experiments were conducted using data, come from NASA and SOFTLAB respectively, from a published PROMISE dataset. The results show that the method has achieved good values of recall and F-measure, and achieved good prediction results.
When Free Isn't Free: The Realities of Running Open Source in School
ERIC Educational Resources Information Center
Derringer, Pam
2009-01-01
Despite the last few years' growth in awareness of open-source software in schools and the potential savings it represents, its widespread adoption is still hampered. Randy Orwin, technology director of the Bainbridge Island School District in Washington State and a strong open-source advocate, cautions that installing an open-source…
Tools for Modeling & Simulation of Molecular and Nanoelectronics Devices
2012-06-14
implemented a prototype DFT simulation software using two different open source Finite Element (FE) libraries: DEALII and FENICS . These two libraries have been...ATK. In the first part of this Phase I project we investigated two different candidate finite element libraries, DEAL II and FENICS . Although both...element libraries, Deal.II and FEniCS /dolfin, for use as back-ends to a finite element DFT in ATK, Quantum Insight and QuantumWise A/S, October 2011.
OpenSim: open-source software to create and analyze dynamic simulations of movement.
Delp, Scott L; Anderson, Frank C; Arnold, Allison S; Loan, Peter; Habib, Ayman; John, Chand T; Guendelman, Eran; Thelen, Darryl G
2007-11-01
Dynamic simulations of movement allow one to study neuromuscular coordination, analyze athletic performance, and estimate internal loading of the musculoskeletal system. Simulations can also be used to identify the sources of pathological movement and establish a scientific basis for treatment planning. We have developed a freely available, open-source software system (OpenSim) that lets users develop models of musculoskeletal structures and create dynamic simulations of a wide variety of movements. We are using this system to simulate the dynamics of individuals with pathological gait and to explore the biomechanical effects of treatments. OpenSim provides a platform on which the biomechanics community can build a library of simulations that can be exchanged, tested, analyzed, and improved through a multi-institutional collaboration. Developing software that enables a concerted effort from many investigators poses technical and sociological challenges. Meeting those challenges will accelerate the discovery of principles that govern movement control and improve treatments for individuals with movement pathologies.
Fonseca, Carissa G; Backhaus, Michael; Bluemke, David A; Britten, Randall D; Chung, Jae Do; Cowan, Brett R; Dinov, Ivo D; Finn, J Paul; Hunter, Peter J; Kadish, Alan H; Lee, Daniel C; Lima, Joao A C; Medrano-Gracia, Pau; Shivkumar, Kalyanam; Suinesiaputra, Avan; Tao, Wenchao; Young, Alistair A
2011-08-15
Integrative mathematical and statistical models of cardiac anatomy and physiology can play a vital role in understanding cardiac disease phenotype and planning therapeutic strategies. However, the accuracy and predictive power of such models is dependent upon the breadth and depth of noninvasive imaging datasets. The Cardiac Atlas Project (CAP) has established a large-scale database of cardiac imaging examinations and associated clinical data in order to develop a shareable, web-accessible, structural and functional atlas of the normal and pathological heart for clinical, research and educational purposes. A goal of CAP is to facilitate collaborative statistical analysis of regional heart shape and wall motion and characterize cardiac function among and within population groups. Three main open-source software components were developed: (i) a database with web-interface; (ii) a modeling client for 3D + time visualization and parametric description of shape and motion; and (iii) open data formats for semantic characterization of models and annotations. The database was implemented using a three-tier architecture utilizing MySQL, JBoss and Dcm4chee, in compliance with the DICOM standard to provide compatibility with existing clinical networks and devices. Parts of Dcm4chee were extended to access image specific attributes as search parameters. To date, approximately 3000 de-identified cardiac imaging examinations are available in the database. All software components developed by the CAP are open source and are freely available under the Mozilla Public License Version 1.1 (http://www.mozilla.org/MPL/MPL-1.1.txt). http://www.cardiacatlas.org a.young@auckland.ac.nz Supplementary data are available at Bioinformatics online.
Tools and Approaches for the Construction of Knowledge Models from the Neuroscientific Literature
Burns, Gully A. P. C.; Khan, Arshad M.; Ghandeharizadeh, Shahram; O’Neill, Mark A.; Chen, Yi-Shin
2015-01-01
Within this paper, we describe a neuroinformatics project (called “NeuroScholar,” http://www.neuroscholar.org/) that enables researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature. The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address large-scale questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a “real-world” neuroscience question: How is stress-related information processed in the brain? We then explain how the overall design of NeuroScholar enables the system to work and illustrate different components of the user interface. We then describe the knowledge management strategy we use to store interpretations. Finally, we describe the software engineering framework we have devised (called the “View-Primitive-Data Model framework,” [VPDMf]) to provide an open-source, accelerated software development environment for the project. We believe that NeuroScholar will be useful to experimental neuroscientists by helping them interact with the primary neuroscientific literature in a meaningful way, and to neuroinformaticians by providing them with useful, affordable software engineering tools. PMID:15055395
Open Source 2010: Reflections on 2007
ERIC Educational Resources Information Center
Wheeler, Brad
2007-01-01
Colleges and universities and commercial firms have demonstrated great progress in realizing the vision proffered for "Open Source 2007," and 2010 will mark even greater progress. Although much work remains in refining open source for higher education applications, the signals are now clear: the collaborative development of software can provide…
Development and Use of an Open-Source, User-Friendly Package to Simulate Voltammetry Experiments
ERIC Educational Resources Information Center
Wang, Shuo; Wang, Jing; Gao, Yanjing
2017-01-01
An open-source electrochemistry simulation package has been developed that simulates the electrode processes of four reaction mechanisms and two typical electroanalysis techniques: cyclic voltammetry and chronoamperometry. Unlike other open-source simulation software, this package balances the features with ease of learning and implementation and…
Oostenveld, Robert; Fries, Pascal; Maris, Eric; Schoffelen, Jan-Mathijs
2011-01-01
This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages. PMID:21253357
Hierarchical Petascale Simulation Framework For Stress Corrosion Cracking
DOE Office of Scientific and Technical Information (OSTI.GOV)
Grama, Ananth
2013-12-18
A number of major accomplishments resulted from the project. These include: • Data Structures, Algorithms, and Numerical Methods for Reactive Molecular Dynamics. We have developed a range of novel data structures, algorithms, and solvers (amortized ILU, Spike) for use with ReaxFF and charge equilibration. • Parallel Formulations of ReactiveMD (Purdue ReactiveMolecular Dynamics Package, PuReMD, PuReMD-GPU, and PG-PuReMD) for Messaging, GPU, and GPU Cluster Platforms. We have developed efficient serial, parallel (MPI), GPU (Cuda), and GPU Cluster (MPI/Cuda) implementations. Our implementations have been demonstrated to be significantly better than the state of the art, both in terms of performance and scalability.more » • Comprehensive Validation in the Context of Diverse Applications. We have demonstrated the use of our software in diverse systems, including silica-water, silicon-germanium nanorods, and as part of other projects, extended it to applications ranging from explosives (RDX) to lipid bilayers (biomembranes under oxidative stress). • Open Source Software Packages for Reactive Molecular Dynamics. All versions of our soft- ware have been released over the public domain. There are over 100 major research groups worldwide using our software. • Implementation into the Department of Energy LAMMPS Software Package. We have also integrated our software into the Department of Energy LAMMPS software package.« less
Boulos, Maged N Kamel; Honda, Kiyoshi
2006-01-01
Open Source Web GIS software systems have reached a stage of maturity, sophistication, robustness and stability, and usability and user friendliness rivalling that of commercial, proprietary GIS and Web GIS server products. The Open Source Web GIS community is also actively embracing OGC (Open Geospatial Consortium) standards, including WMS (Web Map Service). WMS enables the creation of Web maps that have layers coming from multiple different remote servers/sources. In this article we present one easy to implement Web GIS server solution that is based on the Open Source University of Minnesota (UMN) MapServer. By following the accompanying step-by-step tutorial instructions, interested readers running mainstream Microsoft® Windows machines and with no prior technical experience in Web GIS or Internet map servers will be able to publish their own health maps on the Web and add to those maps additional layers retrieved from remote WMS servers. The 'digital Asia' and 2004 Indian Ocean tsunami experiences in using free Open Source Web GIS software are also briefly described. PMID:16420699
An Open-Source Standard T-Wave Alternans Detector for Benchmarking.
Khaustov, A; Nemati, S; Clifford, Gd
2008-09-14
We describe an open source algorithm suite for T-Wave Alternans (TWA) detection and quantification. The software consists of Matlab implementations of the widely used Spectral Method and Modified Moving Average with libraries to read both WFDB and ASCII data under windows and Linux. The software suite can run in both batch mode and with a provided graphical user interface to aid waveform exploration. Our software suite was calibrated using an open source TWA model, described in a partner paper [1] by Clifford and Sameni. For the PhysioNet/CinC Challenge 2008 we obtained a score of 0.881 for the Spectral Method and 0.400 for the MMA method. However, our objective was not to provide the best TWA detector, but rather a basis for detailed discussion of algorithms.
NASA Astrophysics Data System (ADS)
Hasan, B.; Hasbullah; Purnama, W.; Hery, A.
2016-04-01
Creative industry development areas of software by using Free Open Source Software (FOSS) is expected to be one of the solutions to foster new entrepreneurs of the students who can open job opportunities and contribute to economic development in Indonesia. This study aims to create entrepreneurial coaching model based on the creative industries by utilizing FOSS software field as well as provide understanding and fostering entrepreneurial creative industries based field software for students of Universitas Pendidikan Indonesia. This activity phase begins with identifying entrepreneurs or business software technology that will be developed, training and mentoring, apprenticeship process at industrial partners, creation of business plans and monitoring and evaluation. This activity involves 30 UPI student which has the motivation to self-employment and have competence in the field of information technology. The results and outcomes expected from these activities is the birth of a number of new entrepreneurs from the students engaged in the software industry both software in the world of commerce (e-commerce) and education/learning (e-learning/LMS) and games.
The Earth System Documentation (ES-DOC) project
NASA Astrophysics Data System (ADS)
Murphy, S.; Greenslade, M. A.; Treshansky, A.; DeLuca, C.; Guilyardi, E.; Denvil, S.
2013-12-01
Earth System Documentation (ES-DOC) is an international project supplying high quality tools and services in support of Earth system documentation creation, analysis and dissemination. It is nurturing a sustainable standards based documentation ecosystem that aims to become an integral part of the next generation of exa-scale dataset archives. ES-DOC leverages open source software, and applies a software development methodology that places end-user narratives at the heart of all it does. ES-DOC has initially focused upon nurturing the Earth System Model (ESM) documentation eco-system. Within this context ES-DOC leverages the emerging Common Information Model (CIM) metadata standard, which has supported the following projects: ** Coupled Model Inter-comparison Project Phase 5 (CMIP5); ** Dynamical Core Model Inter-comparison Project (DCMIP-2012); ** National Climate Predictions and Projections Platforms (NCPP) Quantitative Evaluation of Downscaling Workshop (QED-2013). This presentation will introduce the project to a wider audience and will demonstrate the current production level capabilities of the eco-system: ** An ESM documentation Viewer embeddable into any website; ** An ESM Questionnaire configurable on a project by project basis; ** An ESM comparison tool reusable across projects; ** An ESM visualization tool reusable across projects; ** A search engine for speedily accessing published documentation; ** Libraries for streamlining document creation, validation and publishing pipelines.
Open Source software and social networks: disruptive alternatives for medical imaging.
Ratib, Osman; Rosset, Antoine; Heuberger, Joris
2011-05-01
In recent decades several major changes in computer and communication technology have pushed the limits of imaging informatics and PACS beyond the traditional system architecture providing new perspectives and innovative approach to a traditionally conservative medical community. Disruptive technologies such as the world-wide-web, wireless networking, Open Source software and recent emergence of cyber communities and social networks have imposed an accelerated pace and major quantum leaps in the progress of computer and technology infrastructure applicable to medical imaging applications. This paper reviews the impact and potential benefits of two major trends in consumer market software development and how they will influence the future of medical imaging informatics. Open Source software is emerging as an attractive and cost effective alternative to traditional commercial software developments and collaborative social networks provide a new model of communication that is better suited to the needs of the medical community. Evidence shows that successful Open Source software tools have penetrated the medical market and have proven to be more robust and cost effective than their commercial counterparts. Developed by developers that are themselves part of the user community, these tools are usually better adapted to the user's need and are more robust than traditional software programs being developed and tested by a large number of contributing users. This context allows a much faster and more appropriate development and evolution of the software platforms. Similarly, communication technology has opened up to the general public in a way that has changed the social behavior and habits adding a new dimension to the way people communicate and interact with each other. The new paradigms have also slowly penetrated the professional market and ultimately the medical community. Secure social networks allowing groups of people to easily communicate and exchange information is a new model that is particularly suitable for some specific groups of healthcare professional and for physicians. It has also changed the expectations of how patients wish to communicate with their physicians. Emerging disruptive technologies and innovative paradigm such as Open Source software are leading the way to a new generation of information systems that slowly will change the way physicians and healthcare providers as well as patients will interact and communicate in the future. The impact of these new technologies is particularly effective in image communication, PACS and teleradiology. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
The Seismic Tool-Kit (STK): an open source software for seismology and signal processing.
NASA Astrophysics Data System (ADS)
Reymond, Dominique
2016-04-01
We present an open source software project (GNU public license), named STK: Seismic ToolKit, that is dedicated mainly for seismology and signal processing. The STK project that started in 2007, is hosted by SourceForge.net, and count more than 19 500 downloads at the date of writing. The STK project is composed of two main branches: First, a graphical interface dedicated to signal processing (in the SAC format (SAC_ASCII and SAC_BIN): where the signal can be plotted, zoomed, filtered, integrated, derivated, ... etc. (a large variety of IFR and FIR filter is proposed). The estimation of spectral density of the signal are performed via the Fourier transform, with visualization of the Power Spectral Density (PSD) in linear or log scale, and also the evolutive time-frequency representation (or sonagram). The 3-components signals can be also processed for estimating their polarization properties, either for a given window, or either for evolutive windows along the time. This polarization analysis is useful for extracting the polarized noises, differentiating P waves, Rayleigh waves, Love waves, ... etc. Secondly, a panel of Utilities-Program are proposed for working in a terminal mode, with basic programs for computing azimuth and distance in spherical geometry, inter/auto-correlation, spectral density, time-frequency for an entire directory of signals, focal planes, and main components axis, radiation pattern of P waves, Polarization analysis of different waves (including noize), under/over-sampling the signals, cubic-spline smoothing, and linear/non linear regression analysis of data set. A MINimum library of Linear AlGebra (MIN-LINAG) is also provided for computing the main matrix process like: QR/QL decomposition, Cholesky solve of linear system, finding eigen value/eigen vectors, QR-solve/Eigen-solve of linear equations systems ... etc. STK is developed in C/C++, mainly under Linux OS, and it has been also partially implemented under MS-Windows. Usefull links: http://sourceforge.net/projects/seismic-toolkit/ http://sourceforge.net/p/seismic-toolkit/wiki/browse_pages/
Advancing global marine biogeography research with open-source GIS software and cloud-computing
Fujioka, Ei; Vanden Berghe, Edward; Donnelly, Ben; Castillo, Julio; Cleary, Jesse; Holmes, Chris; McKnight, Sean; Halpin, patrick
2012-01-01
Across many scientific domains, the ability to aggregate disparate datasets enables more meaningful global analyses. Within marine biology, the Census of Marine Life served as the catalyst for such a global data aggregation effort. Under the Census framework, the Ocean Biogeographic Information System was established to coordinate an unprecedented aggregation of global marine biogeography data. The OBIS data system now contains 31.3 million observations, freely accessible through a geospatial portal. The challenges of storing, querying, disseminating, and mapping a global data collection of this complexity and magnitude are significant. In the face of declining performance and expanding feature requests, a redevelopment of the OBIS data system was undertaken. Following an Open Source philosophy, the OBIS technology stack was rebuilt using PostgreSQL, PostGIS, GeoServer and OpenLayers. This approach has markedly improved the performance and online user experience while maintaining a standards-compliant and interoperable framework. Due to the distributed nature of the project and increasing needs for storage, scalability and deployment flexibility, the entire hardware and software stack was built on a Cloud Computing environment. The flexibility of the platform, combined with the power of the application stack, enabled rapid re-development of the OBIS infrastructure, and ensured complete standards-compliance.
The Global Earthquake Model and Disaster Risk Reduction
NASA Astrophysics Data System (ADS)
Smolka, A. J.
2015-12-01
Advanced, reliable and transparent tools and data to assess earthquake risk are inaccessible to most, especially in less developed regions of the world while few, if any, globally accepted standards currently allow a meaningful comparison of risk between places. The Global Earthquake Model (GEM) is a collaborative effort that aims to provide models, datasets and state-of-the-art tools for transparent assessment of earthquake hazard and risk. As part of this goal, GEM and its global network of collaborators have developed the OpenQuake engine (an open-source software for hazard and risk calculations), the OpenQuake platform (a web-based portal making GEM's resources and datasets freely available to all potential users), and a suite of tools to support modelers and other experts in the development of hazard, exposure and vulnerability models. These resources are being used extensively across the world in hazard and risk assessment, from individual practitioners to local and national institutions, and in regional projects to inform disaster risk reduction. Practical examples for how GEM is bridging the gap between science and disaster risk reduction are: - Several countries including Switzerland, Turkey, Italy, Ecuador, Papua-New Guinea and Taiwan (with more to follow) are computing national seismic hazard using the OpenQuake-engine. In some cases these results are used for the definition of actions in building codes. - Technical support, tools and data for the development of hazard, exposure, vulnerability and risk models for regional projects in South America and Sub-Saharan Africa. - Going beyond physical risk, GEM's scorecard approach evaluates local resilience by bringing together neighborhood/community leaders and the risk reduction community as a basis for designing risk reduction programs at various levels of geography. Actual case studies are Lalitpur in the Kathmandu Valley in Nepal and Quito/Ecuador. In agreement with GEM's collaborative approach, all projects are undertaken with strong involvement of local scientific and risk reduction communities. Open-source software and careful documentation of the methodologies create full transparency of the modelling process, so that results can be reproduced any time by third parties.
Pennington, Jeffrey W; Ruth, Byron; Italia, Michael J; Miller, Jeffrey; Wrazien, Stacey; Loutrel, Jennifer G; Crenshaw, E Bryan; White, Peter S
2014-01-01
Biomedical researchers share a common challenge of making complex data understandable and accessible as they seek inherent relationships between attributes in disparate data types. Data discovery in this context is limited by a lack of query systems that efficiently show relationships between individual variables, but without the need to navigate underlying data models. We have addressed this need by developing Harvest, an open-source framework of modular components, and using it for the rapid development and deployment of custom data discovery software applications. Harvest incorporates visualizations of highly dimensional data in a web-based interface that promotes rapid exploration and export of any type of biomedical information, without exposing researchers to underlying data models. We evaluated Harvest with two cases: clinical data from pediatric cardiology and demonstration data from the OpenMRS project. Harvest's architecture and public open-source code offer a set of rapid application development tools to build data discovery applications for domain-specific biomedical data repositories. All resources, including the OpenMRS demonstration, can be found at http://harvest.research.chop.edu.
Pennington, Jeffrey W; Ruth, Byron; Italia, Michael J; Miller, Jeffrey; Wrazien, Stacey; Loutrel, Jennifer G; Crenshaw, E Bryan; White, Peter S
2014-01-01
Biomedical researchers share a common challenge of making complex data understandable and accessible as they seek inherent relationships between attributes in disparate data types. Data discovery in this context is limited by a lack of query systems that efficiently show relationships between individual variables, but without the need to navigate underlying data models. We have addressed this need by developing Harvest, an open-source framework of modular components, and using it for the rapid development and deployment of custom data discovery software applications. Harvest incorporates visualizations of highly dimensional data in a web-based interface that promotes rapid exploration and export of any type of biomedical information, without exposing researchers to underlying data models. We evaluated Harvest with two cases: clinical data from pediatric cardiology and demonstration data from the OpenMRS project. Harvest's architecture and public open-source code offer a set of rapid application development tools to build data discovery applications for domain-specific biomedical data repositories. All resources, including the OpenMRS demonstration, can be found at http://harvest.research.chop.edu PMID:24131510
Dimensional Error in Rapid Prototyping with Open Source Software and Low-cost 3D-printer
Andrade-Delgado, Laura; Telich-Tarriba, Jose E.; Fuente-del-Campo, Antonio; Altamirano-Arcos, Carlos A.
2018-01-01
Summary: Rapid prototyping models (RPMs) had been extensively used in craniofacial and maxillofacial surgery, especially in areas such as orthognathic surgery, posttraumatic or oncological reconstructions, and implantology. Economic limitations are higher in developing countries such as Mexico, where resources dedicated to health care are limited, therefore limiting the use of RPM to few selected centers. This article aims to determine the dimensional error of a low-cost fused deposition modeling 3D printer (Tronxy P802MA, Shenzhen, Tronxy Technology Co), with Open source software. An ordinary dry human mandible was scanned with a computed tomography device. The data were processed with open software to build a rapid prototype with a fused deposition machine. Linear measurements were performed to find the mean absolute and relative difference. The mean absolute and relative difference was 0.65 mm and 1.96%, respectively (P = 0.96). Low-cost FDM machines and Open Source Software are excellent options to manufacture RPM, with the benefit of low cost and a similar relative error than other more expensive technologies. PMID:29464171
Dimensional Error in Rapid Prototyping with Open Source Software and Low-cost 3D-printer.
Rendón-Medina, Marco A; Andrade-Delgado, Laura; Telich-Tarriba, Jose E; Fuente-Del-Campo, Antonio; Altamirano-Arcos, Carlos A
2018-01-01
Rapid prototyping models (RPMs) had been extensively used in craniofacial and maxillofacial surgery, especially in areas such as orthognathic surgery, posttraumatic or oncological reconstructions, and implantology. Economic limitations are higher in developing countries such as Mexico, where resources dedicated to health care are limited, therefore limiting the use of RPM to few selected centers. This article aims to determine the dimensional error of a low-cost fused deposition modeling 3D printer (Tronxy P802MA, Shenzhen, Tronxy Technology Co), with Open source software. An ordinary dry human mandible was scanned with a computed tomography device. The data were processed with open software to build a rapid prototype with a fused deposition machine. Linear measurements were performed to find the mean absolute and relative difference. The mean absolute and relative difference was 0.65 mm and 1.96%, respectively ( P = 0.96). Low-cost FDM machines and Open Source Software are excellent options to manufacture RPM, with the benefit of low cost and a similar relative error than other more expensive technologies.
Viceconti, M; Testi, D; Gori, R; Zannoni, C
2000-01-01
The present work describes a technology transfer project called HIPCOM devoted to the re-engineering of the process used by a medical devices manufacturer to design custom-made hip prostheses. Although it started with insufficient support from the end-user management, a very tight scheduling and a moderate budget, the project developed into what is considered by all partners a success story. In particular, the development of the design software, called HIPCOM Interactive Design Environment (HIDE) was completed in a time shorter than any optimistic expectation. The software was quite stable since its first beta version, and once introduced at the user site it fully replaced the original procedure in less than two months. One year after the early adoption, more than 80 custom-made prostheses had been designed with HIDE and the user had reported only two bugs, both cosmetics. The scope of the present work was to report the development experience and to investigate the reasons for these positive results, with particular reference to the development procedure and the software architecture. The choice of TCL/TK as development language and the adoption of well-defined software architecture were found to be the success key factors. Other important determinants were found to be the adoption of an incremental software engineering strategy, well suited for small to medium projects and the presence in the development staff of a technology transfer expert.
A strategy to establish Food Safety Model Repositories.
Plaza-Rodríguez, C; Thoens, C; Falenski, A; Weiser, A A; Appel, B; Kaesbohrer, A; Filter, M
2015-07-02
Transferring the knowledge of predictive microbiology into real world food manufacturing applications is still a major challenge for the whole food safety modelling community. To facilitate this process, a strategy for creating open, community driven and web-based predictive microbial model repositories is proposed. These collaborative model resources could significantly improve the transfer of knowledge from research into commercial and governmental applications and also increase efficiency, transparency and usability of predictive models. To demonstrate the feasibility, predictive models of Salmonella in beef previously published in the scientific literature were re-implemented using an open source software tool called PMM-Lab. The models were made publicly available in a Food Safety Model Repository within the OpenML for Predictive Modelling in Food community project. Three different approaches were used to create new models in the model repositories: (1) all information relevant for model re-implementation is available in a scientific publication, (2) model parameters can be imported from tabular parameter collections and (3) models have to be generated from experimental data or primary model parameters. All three approaches were demonstrated in the paper. The sample Food Safety Model Repository is available via: http://sourceforge.net/projects/microbialmodelingexchange/files/models and the PMM-Lab software can be downloaded from http://sourceforge.net/projects/pmmlab/. This work also illustrates that a standardized information exchange format for predictive microbial models, as the key component of this strategy, could be established by adoption of resources from the Systems Biology domain. Copyright © 2015. Published by Elsevier B.V.
FREEWAT: an HORIZON 2020 project to build open source tools for water management.
NASA Astrophysics Data System (ADS)
Rossetto, Rudy; Borsi, Iacopo; Foglia, Laura
2015-04-01
FREEWAT is an HORIZON 2020 project financed by the EU Commission under the call WATER INNOVATION: BOOSTING ITS VALUE FOR EUROPE. FREEWAT main result will be an open source and public domain GIS integrated modelling environment for the simulation of water quantity and quality in surface water and groundwater with an integrated water management and planning module. FREEWAT aims at promoting water resource management by simplifying the application of the Water Framework Directive and other EU water related Directives. Specific objectives of the FREEWAT project are: to coordinate previous EU and national funded research to integrate existing software modules for water management in a single environment into the GIS based FREEWAT and to support the FREEWAT application in an innovative participatory approach gathering technical staff and relevant stakeholders (in primis policy and decision makers) in designing scenarios for the proper application of water policies. The open source characteristics of the platform allow to consider this an initiative "ad includendum" (looking for inclusion of other entities), as further research institutions, private developers etc. may contribute to the platform development. The core of the FREEWAT platform will be the SID&GRID framework in its version ported to the QGIS desktop. SID&GRID (GIS integrated physically-based distributed numerical hydrological model based on a modified version of MODFLOW 2005; Rossetto et al. 2013) is an open source and public domain modelling platform firstly developed within the EU-POR FSE 2007-2013 Regione Toscana - Italy and then ported to the QGIS desktop through a dedicated fund by Regione Toscana. SID&GRID will be complemented by June 2015 with solute transport (also density dependent) capabilities in aquifers within the MARSOL (2014) EU FPVII project. Activities will be mainly carried out on two branches: (i) integration of modules, so that the software will fit the end-users requirements, including tools for better producing feasibility and management plans; (ii) a set of activities devoted to fix bugs and to provide a well-integrated interface for the different tools implemented. Further capabilities to be integrated are: - a dedicated module for water management and planning that will help to manage and aggregate all the distributed data coming from the simulation scenarios; - a whole module for calibration, uncertainty and sensitivity analysis; - a module for solute transport in the unsaturated zone; - a module for crop growth and water requirements in agriculture; - tools for dealing with groundwater quality issues; - tools for the analysis, interpretation and visualization of hydrogeological data. Through creating a common environment among water research/professionals, policy makers and implementers, FREEWAT main impact will be on enhancing science- and participatory approach and evidence-based decision making in water resource management, hence producing relevant and appropriate outcomes for policy implementation. The Consortium is constituted by partners from various water sectors from 10 EU countries, plus Turkey and Ukraine. Synergies with the UNESCO HOPE initiative on free and open source software in water management greatly boost the value of the project. Large stakeholders involvement is thought to guarantee results dissemination and exploitation. Acknowledgements This paper is presented within the framework of the project FREEWAT, which has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement n. 642224. References MARSOL (2014). Demonstrating Managed Aquifer Recharge as a Solution to Water Scarcity and Drought www.marsol.eu [accessed 4 January 2015] Rossetto, R., Borsi, I., Schifani, C., Bonari, E., Mogorovich P. & Primicerio M. (2013) - SID&GRID: integrating hydrological modeling in GIS environment hydroinformatics system for the management of the water resource. Rendiconti Online Societa Geologica Italiana Volume 24, 282-283
Bonnal, Raoul J P; Aerts, Jan; Githinji, George; Goto, Naohisa; MacLean, Dan; Miller, Chase A; Mishima, Hiroyuki; Pagani, Massimiliano; Ramirez-Gonzalez, Ricardo; Smant, Geert; Strozzi, Francesco; Syme, Rob; Vos, Rutger; Wennblom, Trevor J; Woodcroft, Ben J; Katayama, Toshiaki; Prins, Pjotr
2012-04-01
Biogem provides a software development environment for the Ruby programming language, which encourages community-based software development for bioinformatics while lowering the barrier to entry and encouraging best practices. Biogem, with its targeted modular and decentralized approach, software generator, tools and tight web integration, is an improved general model for scaling up collaborative open source software development in bioinformatics. Biogem and modules are free and are OSS. Biogem runs on all systems that support recent versions of Ruby, including Linux, Mac OS X and Windows. Further information at http://www.biogems.info. A tutorial is available at http://www.biogems.info/howto.html bonnal@ingm.org.
BioMart: a data federation framework for large collaborative projects.
Zhang, Junjun; Haider, Syed; Baran, Joachim; Cros, Anthony; Guberman, Jonathan M; Hsu, Jack; Liang, Yong; Yao, Long; Kasprzyk, Arek
2011-01-01
BioMart is a freely available, open source, federated database system that provides a unified access to disparate, geographically distributed data sources. It is designed to be data agnostic and platform independent, such that existing databases can easily be incorporated into the BioMart framework. BioMart allows databases hosted on different servers to be presented seamlessly to users, facilitating collaborative projects between different research groups. BioMart contains several levels of query optimization to efficiently manage large data sets and offers a diverse selection of graphical user interfaces and application programming interfaces to ensure that queries can be performed in whatever manner is most convenient for the user. The software has now been adopted by a large number of different biological databases spanning a wide range of data types and providing a rich source of annotation available to bioinformaticians and biologists alike.
BYMUR software: a free and open source tool for quantifying and visualizing multi-risk analyses
NASA Astrophysics Data System (ADS)
Tonini, Roberto; Selva, Jacopo
2013-04-01
The BYMUR software aims to provide an easy-to-use open source tool for both computing multi-risk and managing/visualizing/comparing all the inputs (e.g. hazard, fragilities and exposure) as well as the corresponding results (e.g. risk curves, risk indexes). For all inputs, a complete management of inter-model epistemic uncertainty is considered. The BYMUR software will be one of the final products provided by the homonymous ByMuR project (http://bymur.bo.ingv.it/) funded by Italian Ministry of Education, Universities and Research (MIUR), focused to (i) provide a quantitative and objective general method for a comprehensive long-term multi-risk analysis in a given area, accounting for inter-model epistemic uncertainty through Bayesian methodologies, and (ii) apply the methodology to seismic, volcanic and tsunami risks in Naples (Italy). More specifically, the BYMUR software will be able to separately account for the probabilistic hazard assessment of different kind of hazardous phenomena, the relative (time-dependent/independent) vulnerabilities and exposure data, and their possible (predefined) interactions: the software will analyze these inputs and will use them to estimate both single- and multi- risk associated to a specific target area. In addition, it will be possible to connect the software to further tools (e.g., a full hazard analysis), allowing a dynamic I/O of results. The use of Python programming language guarantees that the final software will be open source and platform independent. Moreover, thanks to the integration of some most popular and rich-featured Python scientific modules (Numpy, Matplotlib, Scipy) with the wxPython graphical user toolkit, the final tool will be equipped with a comprehensive Graphical User Interface (GUI) able to control and visualize (in the form of tables, maps and/or plots) any stage of the multi-risk analysis. The additional features of importing/exporting data in MySQL databases and/or standard XML formats (for instance, the global standards defined in the frame of GEM project for seismic hazard and risk) will grant the interoperability with other FOSS software and tools and, at the same time, to be on hand of the geo-scientific community. An already available example of connection is represented by the BET_VH(**) tool, which probabilistic volcanic hazard outputs will be used as input for BYMUR. Finally, the prototype version of BYMUR will be used for the case study of the municipality of Naples, by considering three different natural hazards (volcanic eruptions, earthquakes and tsunamis) and by assessing the consequent long-term risk evaluation. (**)BET_VH (Bayesian Event Tree for Volcanic Hazard) is probabilistic tool for long-term volcanic hazard assessment, recently re-designed and adjusted to be run on the Vhub cyber-infrastructure, a free web-based collaborative tool in volcanology research (see http://vhub.org/resources/betvh).
ERIC Educational Resources Information Center
van Reijswoud, Victor; Mulo, Emmanuel
2006-01-01
Over recent years the issue of free and open source software (FOSS) for development in less developed countries (LDCs) has received increasing attention. In the beginning the benefits of FOSS for lower developed countries was only stressed by small groups of idealists like Richard Stallman. Now, however, it is moving into the hands of large…
ERIC Educational Resources Information Center
Tay, Lee Yong; Lim, Cher Ping; Lye, Sze Yee; Ng, Kay Joo; Lim, Siew Khiaw
2011-01-01
This paper analyses how an elementary-level future school in Singapore implements and uses various open-source online platforms, which are easily available online and could be implemented with minimal software cost, for the purpose of teaching and learning. Online platforms have the potential to facilitate students' engagement for independent and…
ERIC Educational Resources Information Center
Benoit-Barne, Chantal
2007-01-01
This essay investigates the rhetorical practices of socio-technical deliberation about free and open source (F/OS) software, providing support for the idea that a public sphere is a socio-technical ensemble that is discursive and fluid, yet tangible and organized because it is enacted by both humans and non-humans. In keeping with the empirical…
A generic open-source software framework supporting scenario simulations in bioterrorist crises.
Falenski, Alexander; Filter, Matthias; Thöns, Christian; Weiser, Armin A; Wigger, Jan-Frederik; Davis, Matthew; Douglas, Judith V; Edlund, Stefan; Hu, Kun; Kaufman, James H; Appel, Bernd; Käsbohrer, Annemarie
2013-09-01
Since the 2001 anthrax attack in the United States, awareness of threats originating from bioterrorism has grown. This led internationally to increased research efforts to improve knowledge of and approaches to protecting human and animal populations against the threat from such attacks. A collaborative effort in this context is the extension of the open-source Spatiotemporal Epidemiological Modeler (STEM) simulation and modeling software for agro- or bioterrorist crisis scenarios. STEM, originally designed to enable community-driven public health disease models and simulations, was extended with new features that enable integration of proprietary data as well as visualization of agent spread along supply and production chains. STEM now provides a fully developed open-source software infrastructure supporting critical modeling tasks such as ad hoc model generation, parameter estimation, simulation of scenario evolution, estimation of effects of mitigation or management measures, and documentation. This open-source software resource can be used free of charge. Additionally, STEM provides critical features like built-in worldwide data on administrative boundaries, transportation networks, or environmental conditions (eg, rainfall, temperature, elevation, vegetation). Users can easily combine their own confidential data with built-in public data to create customized models of desired resolution. STEM also supports collaborative and joint efforts in crisis situations by extended import and export functionalities. In this article we demonstrate specifically those new software features implemented to accomplish STEM application in agro- or bioterrorist crisis scenarios.
An open source software for fast grid-based data-mining in spatial epidemiology (FGBASE).
Baker, David M; Valleron, Alain-Jacques
2014-10-30
Examining whether disease cases are clustered in space is an important part of epidemiological research. Another important part of spatial epidemiology is testing whether patients suffering from a disease are more, or less, exposed to environmental factors of interest than adequately defined controls. Both approaches involve determining the number of cases and controls (or population at risk) in specific zones. For cluster searches, this often must be done for millions of different zones. Doing this by calculating distances can lead to very lengthy computations. In this work we discuss the computational advantages of geographical grid-based methods, and introduce an open source software (FGBASE) which we have created for this purpose. Geographical grids based on the Lambert Azimuthal Equal Area projection are well suited for spatial epidemiology because they preserve area: each cell of the grid has the same area. We describe how data is projected onto such a grid, as well as grid-based algorithms for spatial epidemiological data-mining. The software program (FGBASE), that we have developed, implements these grid-based methods. The grid based algorithms perform extremely fast. This is particularly the case for cluster searches. When applied to a cohort of French Type 1 Diabetes (T1D) patients, as an example, the grid based algorithms detected potential clusters in a few seconds on a modern laptop. This compares very favorably to an equivalent cluster search using distance calculations instead of a grid, which took over 4 hours on the same computer. In the case study we discovered 4 potential clusters of T1D cases near the cities of Le Havre, Dunkerque, Toulouse and Nantes. One example of environmental analysis with our software was to study whether a significant association could be found between distance to vineyards with heavy pesticide. None was found. In both examples, the software facilitates the rapid testing of hypotheses. Grid-based algorithms for mining spatial epidemiological data provide advantages in terms of computational complexity thus improving the speed of computations. We believe that these methods and this software tool (FGBASE) will lower the computational barriers to entry for those performing epidemiological research.
The Human Genome Project: big science transforms biology and medicine.
Hood, Leroy; Rowen, Lee
2013-01-01
The Human Genome Project has transformed biology through its integrated big science approach to deciphering a reference human genome sequence along with the complete sequences of key model organisms. The project exemplifies the power, necessity and success of large, integrated, cross-disciplinary efforts - so-called 'big science' - directed towards complex major objectives. In this article, we discuss the ways in which this ambitious endeavor led to the development of novel technologies and analytical tools, and how it brought the expertise of engineers, computer scientists and mathematicians together with biologists. It established an open approach to data sharing and open-source software, thereby making the data resulting from the project accessible to all. The genome sequences of microbes, plants and animals have revolutionized many fields of science, including microbiology, virology, infectious disease and plant biology. Moreover, deeper knowledge of human sequence variation has begun to alter the practice of medicine. The Human Genome Project has inspired subsequent large-scale data acquisition initiatives such as the International HapMap Project, 1000 Genomes, and The Cancer Genome Atlas, as well as the recently announced Human Brain Project and the emerging Human Proteome Project.
The Human Genome Project: big science transforms biology and medicine
2013-01-01
The Human Genome Project has transformed biology through its integrated big science approach to deciphering a reference human genome sequence along with the complete sequences of key model organisms. The project exemplifies the power, necessity and success of large, integrated, cross-disciplinary efforts - so-called ‘big science’ - directed towards complex major objectives. In this article, we discuss the ways in which this ambitious endeavor led to the development of novel technologies and analytical tools, and how it brought the expertise of engineers, computer scientists and mathematicians together with biologists. It established an open approach to data sharing and open-source software, thereby making the data resulting from the project accessible to all. The genome sequences of microbes, plants and animals have revolutionized many fields of science, including microbiology, virology, infectious disease and plant biology. Moreover, deeper knowledge of human sequence variation has begun to alter the practice of medicine. The Human Genome Project has inspired subsequent large-scale data acquisition initiatives such as the International HapMap Project, 1000 Genomes, and The Cancer Genome Atlas, as well as the recently announced Human Brain Project and the emerging Human Proteome Project. PMID:24040834
NASA Technical Reports Server (NTRS)
Grubb, Matt
2016-01-01
The NASA Operational Simulator for Small Satellites (NOS3) is a suite of tools to aid in areas such as software development, integration test (IT), mission operations training, verification and validation (VV), and software systems check-out. NOS3 provides a software development environment, a multi-target build system, an operator interface-ground station, dynamics and environment simulations, and software-based hardware models. NOS3 enables the development of flight software (FSW) early in the project life cycle, when access to hardware is typically not available. For small satellites there are extensive lead times on many of the commercial-off-the-shelf (COTS) components as well as limited funding for engineering test units (ETU). Considering the difficulty of providing a hardware test-bed to each developer tester, hardware models are modeled based upon characteristic data or manufacturers data sheets for each individual component. The fidelity of each hardware models is such that FSW executes unaware that physical hardware is not present. This allows binaries to be compiled for both the simulation environment, and the flight computer, without changing the FSW source code. For hardware models that provide data dependent on the environment, such as a GPS receiver or magnetometer, an open-source tool from NASA GSFC (42 Spacecraft Simulation) is used to provide the necessary data. The underlying infrastructure used to transfer messages between FSW and the hardware models can also be used to monitor, intercept, and inject messages, which has proven to be beneficial for VV of larger missions such as James Webb Space Telescope (JWST). As hardware is procured, drivers can be added to the environment to enable hardware-in-the-loop (HWIL) testing. When strict time synchronization is not vital, any number of combinations of hardware components and software-based models can be tested. The open-source operator interface used in NOS3 is COSMOS from Ball Aerospace. For testing, plug-ins are implemented in COSMOS to control the NOS3 simulations, while the command and telemetry tools available in COSMOS are used to communicate with FSW. NOS3 is actively being used for FSW development and component testing of the Simulation-to-Flight 1 (STF-1) CubeSat. As NOS3 matures, hardware models have been added for common CubeSat components such as Novatel GPS receivers, ClydeSpace electrical power systems and batteries, ISISpace antenna systems, etc. In the future, NASA IVV plans to distribute NOS3 to other CubeSat developers and release the suite to the open-source community.
Colomb, Julien; Reiter, Lutz; Blaszkiewicz, Jedrzej; Wessnitzer, Jan; Brembs, Bjoern
2012-01-01
Insects have been among the most widely used model systems for studying the control of locomotion by nervous systems. In Drosophila, we implemented a simple test for locomotion: in Buridan's paradigm, flies walk back and forth between two inaccessible visual targets [1]. Until today, the lack of easily accessible tools for tracking the fly position and analyzing its trajectory has probably contributed to the slow acceptance of Buridan's paradigm. We present here a package of open source software designed to track a single animal walking in a homogenous environment (Buritrack) and to analyze its trajectory. The Centroid Trajectory Analysis (CeTrAn) software is coded in the open source statistics project R. It extracts eleven metrics and includes correlation analyses and a Principal Components Analysis (PCA). It was designed to be easily customized to personal requirements. In combination with inexpensive hardware, these tools can readily be used for teaching and research purposes. We demonstrate the capabilities of our package by measuring the locomotor behavior of adult Drosophila melanogaster (whose wings were clipped), either in the presence or in the absence of visual targets, and comparing the latter to different computer-generated data. The analysis of the trajectories confirms that flies are centrophobic and shows that inaccessible visual targets can alter the orientation of the flies without changing their overall patterns of activity. Using computer generated data, the analysis software was tested, and chance values for some metrics (as well as chance value for their correlation) were set. Our results prompt the hypothesis that fixation behavior is observed only if negative phototaxis can overcome the propensity of the flies to avoid the center of the platform. Together with our companion paper, we provide new tools to promote Open Science as well as the collection and analysis of digital behavioral data.
Python for Large-Scale Electrophysiology
Spacek, Martin; Blanche, Tim; Swindale, Nicholas
2008-01-01
Electrophysiology is increasingly moving towards highly parallel recording techniques which generate large data sets. We record extracellularly in vivo in cat and rat visual cortex with 54-channel silicon polytrodes, under time-locked visual stimulation, from localized neuronal populations within a cortical column. To help deal with the complexity of generating and analysing these data, we used the Python programming language to develop three software projects: one for temporally precise visual stimulus generation (“dimstim”); one for electrophysiological waveform visualization and spike sorting (“spyke”); and one for spike train and stimulus analysis (“neuropy”). All three are open source and available for download (http://swindale.ecc.ubc.ca/code). The requirements and solutions for these projects differed greatly, yet we found Python to be well suited for all three. Here we present our software as a showcase of the extensive capabilities of Python in neuroscience. PMID:19198646
Open Source Communities in Technical Writing: Local Exigence, Global Extensibility
ERIC Educational Resources Information Center
Conner, Trey; Gresham, Morgan; McCracken, Jill
2011-01-01
By offering open-source software (OSS)-based networks as an affordable technology alternative, we partnered with a nonprofit community organization. In this article, we narrate the client-based experiences of this partnership, highlighting the ways in which OSS and open-source culture (OSC) transformed our students' and our own expectations of…
Open-Source Learning Management Systems: A Predictive Model for Higher Education
ERIC Educational Resources Information Center
van Rooij, S. Williams
2012-01-01
The present study investigated the role of pedagogical, technical, and institutional profile factors in an institution of higher education's decision to select an open-source learning management system (LMS). Drawing on the results of previous research that measured patterns of deployment of open-source software (OSS) in US higher education and…
Zaytsev, Yury V; Morrison, Abigail
2012-01-01
High quality neuroscience research requires accurate, reliable and well maintained neuroinformatics applications. As software projects become larger, offering more functionality and developing a denser web of interdependence between their component parts, we need more sophisticated methods to manage their complexity. If complexity is allowed to get out of hand, either the quality of the software or the speed of development suffer, and in many cases both. To address this issue, here we develop a scalable, low-cost and open source solution for continuous integration (CI), a technique which ensures the quality of changes to the code base during the development procedure, rather than relying on a pre-release integration phase. We demonstrate that a CI-based workflow, due to rapid feedback about code integration problems and tracking of code health measures, enabled substantial increases in productivity for a major neuroinformatics project and additional benefits for three further projects. Beyond the scope of the current study, we identify multiple areas in which CI can be employed to further increase the quality of neuroinformatics projects by improving development practices and incorporating appropriate development tools. Finally, we discuss what measures can be taken to lower the barrier for developers of neuroinformatics applications to adopt this useful technique.
Zaytsev, Yury V.; Morrison, Abigail
2013-01-01
High quality neuroscience research requires accurate, reliable and well maintained neuroinformatics applications. As software projects become larger, offering more functionality and developing a denser web of interdependence between their component parts, we need more sophisticated methods to manage their complexity. If complexity is allowed to get out of hand, either the quality of the software or the speed of development suffer, and in many cases both. To address this issue, here we develop a scalable, low-cost and open source solution for continuous integration (CI), a technique which ensures the quality of changes to the code base during the development procedure, rather than relying on a pre-release integration phase. We demonstrate that a CI-based workflow, due to rapid feedback about code integration problems and tracking of code health measures, enabled substantial increases in productivity for a major neuroinformatics project and additional benefits for three further projects. Beyond the scope of the current study, we identify multiple areas in which CI can be employed to further increase the quality of neuroinformatics projects by improving development practices and incorporating appropriate development tools. Finally, we discuss what measures can be taken to lower the barrier for developers of neuroinformatics applications to adopt this useful technique. PMID:23316158
openBIS: a flexible framework for managing and analyzing complex data in biology research
2011-01-01
Background Modern data generation techniques used in distributed systems biology research projects often create datasets of enormous size and diversity. We argue that in order to overcome the challenge of managing those large quantitative datasets and maximise the biological information extracted from them, a sound information system is required. Ease of integration with data analysis pipelines and other computational tools is a key requirement for it. Results We have developed openBIS, an open source software framework for constructing user-friendly, scalable and powerful information systems for data and metadata acquired in biological experiments. openBIS enables users to collect, integrate, share, publish data and to connect to data processing pipelines. This framework can be extended and has been customized for different data types acquired by a range of technologies. Conclusions openBIS is currently being used by several SystemsX.ch and EU projects applying mass spectrometric measurements of metabolites and proteins, High Content Screening, or Next Generation Sequencing technologies. The attributes that make it interesting to a large research community involved in systems biology projects include versatility, simplicity in deployment, scalability to very large data, flexibility to handle any biological data type and extensibility to the needs of any research domain. PMID:22151573