Conservation of biodiversity through taxonomy, data publication, and collaborative infrastructures.

PubMed

Costello, Mark J; Vanhoorne, Bart; Appeltans, Ward

2015-08-01

Taxonomy is the foundation of biodiversity science because it furthers discovery of new species. Globally, there have never been so many people involved in naming species new to science. The number of new marine species described per decade has never been greater. Nevertheless, it is estimated that tens of thousands of marine species, and hundreds of thousands of terrestrial species, are yet to be discovered; many of which may already be in specimen collections. However, naming species is only a first step in documenting knowledge about their biology, biogeography, and ecology. Considering the threats to biodiversity, new knowledge of existing species and discovery of undescribed species and their subsequent study are urgently required. To accelerate this research, we recommend, and cite examples of, more and better communication: use of collaborative online databases; easier access to knowledge and specimens; production of taxonomic revisions and species identification guides; engagement of nonspecialists; and international collaboration. "Data-sharing" should be abandoned in favor of mandated data publication by the conservation science community. Such a step requires support from peer reviewers, editors, journals, and conservation organizations. Online data publication infrastructures (e.g., Global Biodiversity Information Facility, Ocean Biogeographic Information System) illustrate gaps in biodiversity sampling and may provide common ground for long-term international collaboration between scientists and conservation organizations. © 2015 Society for Conservation Biology.

How to revive breakthrough innovation in the pharmaceutical industry.

PubMed

Munos, Bernard H; Chin, William W

2011-06-29

Over the past 20 years, pharmaceutical companies have implemented conservative management practices to improve the predictability of therapeutics discovery and success rates of drug candidates. This approach has often yielded compounds that are only marginally better than existing therapies, yet require larger, longer, and more complex trials. To fund them, companies have shifted resources away from drug discovery to late clinical development; this has hurt innovation and amplified the crisis brought by the expiration of patents on many best-selling drugs. Here, we argue that more breakthrough therapeutics will reach patients only if the industry ceases to pursue "safe" incremental innovation, re-engages in high-risk discovery research, and adopts collaborative innovation models that allow sharing of knowledge and costs among collaborators.

The role of collaborative ontology development in the knowledge negotiation process

NASA Astrophysics Data System (ADS)

Rivera, Norma

Interdisciplinary research (IDR) collaboration can be defined as the process of integrating experts' knowledge, perspectives, and resources to advance scientific discovery. The flourishing of more complex research problems, together with the growth of scientific and technical knowledge has resulted in the need for researchers from diverse fields to provide different expertise and points of view to tackle these problems. These collaborations, however, introduce a new set of "culture" barriers as participating experts are trained to communicate in discipline-specific languages, theories, and research practices. We propose that building a common knowledge base for research using ontology development techniques can provide a starting point for interdisciplinary knowledge exchange, negotiation, and integration. The goal of this work is to extend ontology development techniques to support the knowledge negotiation process in IDR groups. Towards this goal, this work presents a methodology that extends previous work in collaborative ontology development and integrates learning strategies and tools to enhance interdisciplinary research practices. We evaluate the effectiveness of applying such methodology in three different scenarios that cover educational and research settings. The results of this evaluation confirm that integrating learning strategies can, in fact, be advantageous to overall collaborative practices in IDR groups.

Interdisciplinary Laboratory Course Facilitating Knowledge Integration, Mutualistic Teaming, and Original Discovery.

PubMed

Full, Robert J; Dudley, Robert; Koehl, M A R; Libby, Thomas; Schwab, Cheryl

2015-11-01

Experiencing the thrill of an original scientific discovery can be transformative to students unsure about becoming a scientist, yet few courses offer authentic research experiences. Increasingly, cutting-edge discoveries require an interdisciplinary approach not offered in current departmental-based courses. Here, we describe a one-semester, learning laboratory course on organismal biomechanics offered at our large research university that enables interdisciplinary teams of students from biology and engineering to grow intellectually, collaborate effectively, and make original discoveries. To attain this goal, we avoid traditional "cookbook" laboratories by training 20 students to use a dozen research stations. Teams of five students rotate to a new station each week where a professor, graduate student, and/or team member assists in the use of equipment, guides students through stages of critical thinking, encourages interdisciplinary collaboration, and moves them toward authentic discovery. Weekly discussion sections that involve the entire class offer exchange of discipline-specific knowledge, advice on experimental design, methods of collecting and analyzing data, a statistics primer, and best practices for writing and presenting scientific papers. The building of skills in concert with weekly guided inquiry facilitates original discovery via a final research project that can be presented at a national meeting or published in a scientific journal. © The Author 2015. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Concept of operations for knowledge discovery from Big Data across enterprise data warehouses

NASA Astrophysics Data System (ADS)

Sukumar, Sreenivas R.; Olama, Mohammed M.; McNair, Allen W.; Nutaro, James J.

2013-05-01

The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Options that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.

The center for causal discovery of biomedical knowledge from big data.

PubMed

Cooper, Gregory F; Bahar, Ivet; Becich, Michael J; Benos, Panayiotis V; Berg, Jeremy; Espino, Jeremy U; Glymour, Clark; Jacobson, Rebecca Crowley; Kienholz, Michelle; Lee, Adrian V; Lu, Xinghua; Scheines, Richard

2015-11-01

The Big Data to Knowledge (BD2K) Center for Causal Discovery is developing and disseminating an integrated set of open source tools that support causal modeling and discovery of biomedical knowledge from large and complex biomedical datasets. The Center integrates teams of biomedical and data scientists focused on the refinement of existing and the development of new constraint-based and Bayesian algorithms based on causal Bayesian networks, the optimization of software for efficient operation in a supercomputing environment, and the testing of algorithms and software developed using real data from 3 representative driving biomedical projects: cancer driver mutations, lung disease, and the functional connectome of the human brain. Associated training activities provide both biomedical and data scientists with the knowledge and skills needed to apply and extend these tools. Collaborative activities with the BD2K Consortium further advance causal discovery tools and integrate tools and resources developed by other centers. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.All rights reserved. For Permissions, please email: journals.permissions@oup.com.

A collaborative filtering-based approach to biomedical knowledge discovery.

PubMed

Lever, Jake; Gakkhar, Sitanshu; Gottlieb, Michael; Rashnavadi, Tahereh; Lin, Santina; Siu, Celia; Smith, Maia; Jones, Martin R; Krzywinski, Martin; Jones, Steven J M; Wren, Jonathan

2018-02-15

The increase in publication rates makes it challenging for an individual researcher to stay abreast of all relevant research in order to find novel research hypotheses. Literature-based discovery methods make use of knowledge graphs built using text mining and can infer future associations between biomedical concepts that will likely occur in new publications. These predictions are a valuable resource for researchers to explore a research topic. Current methods for prediction are based on the local structure of the knowledge graph. A method that uses global knowledge from across the knowledge graph needs to be developed in order to make knowledge discovery a frequently used tool by researchers. We propose an approach based on the singular value decomposition (SVD) that is able to combine data from across the knowledge graph through a reduced representation. Using cooccurrence data extracted from published literature, we show that SVD performs better than the leading methods for scoring discoveries. We also show the diminishing predictive power of knowledge discovery as we compare our predictions with real associations that appear further into the future. Finally, we examine the strengths and weaknesses of the SVD approach against another well-performing system using several predicted associations. All code and results files for this analysis can be accessed at https://github.com/jakelever/knowledgediscovery. sjones@bcgsc.ca. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Beginning to manage drug discovery and development knowledge.

PubMed

Sumner-Smith, M

2001-05-01

Knowledge management approaches and technologies are beginning to be implemented by the pharmaceutical industry in support of new drug discovery and development processes aimed at greater efficiencies and effectiveness. This trend coincides with moves to reduce paper, coordinate larger teams with more diverse skills that are distributed around the globe, and to comply with regulatory requirements for electronic submissions and the associated maintenance of electronic records. Concurrently, the available technologies have implemented web-based architectures with a greater range of collaborative tools and personalization through portal approaches. However, successful application of knowledge management methods depends on effective cultural change management, as well as proper architectural design to match the organizational and work processes within a company.

RAPTOR: An Enterprise Knowledge Discovery Engine

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

2010-11-11

SharePoint search capability is commonly criticized by users due to the limited functionality provided. This software takes a world class search capability (Piranha) and integrates it with an Enterprise Level Collaboration Application installed on most major government and commercial sites.

A Road Map for Precision Medicine in the Epilepsies

PubMed Central

2015-01-01

Summary Technological advances have paved the way for accelerated genomic discovery and are bringing precision medicine clearly into view. Epilepsy research in particular is well-suited to serve as a model for the development and deployment of targeted therapeutics in precision medicine because of the rapidly expanding genetic knowledge base in epilepsy, the availability of good in vitro and in vivo model systems to efficiently study the biological consequences of genetic mutations, the ability to turn these models into effective drug screening platforms, and the establishment of collaborative research groups. Moving forward, it is critical that we strengthen these collaborations, particularly through integrated research platforms to provide robust analyses both for accurate personal genome analysis and gene and drug discovery. Similarly, the implementation of clinical trial networks will allow the expansion of patient sample populations with genetically defined epilepsy so that drug discovery can be translated into clinical practice. PMID:26416172

Collaborative Web-Enabled GeoAnalytics Applied to OECD Regional Data

NASA Astrophysics Data System (ADS)

Jern, Mikael

Recent advances in web-enabled graphics technologies have the potential to make a dramatic impact on developing collaborative geovisual analytics (GeoAnalytics). In this paper, tools are introduced that help establish progress initiatives at international and sub-national levels aimed at measuring and collaborating, through statistical indicators, economic, social and environmental developments and to engage both statisticians and the public in such activities. Given this global dimension of such a task, the “dream” of building a repository of progress indicators, where experts and public users can use GeoAnalytics collaborative tools to compare situations for two or more countries, regions or local communities, could be accomplished. While the benefits of GeoAnalytics tools are many, it remains a challenge to adapt these dynamic visual tools to the Internet. For example, dynamic web-enabled animation that enables statisticians to explore temporal, spatial and multivariate demographics data from multiple perspectives, discover interesting relationships, share their incremental discoveries with colleagues and finally communicate selected relevant knowledge to the public. These discoveries often emerge through the diverse backgrounds and experiences of expert domains and are precious in a creative analytics reasoning process. In this context, we introduce a demonstrator “OECD eXplorer”, a customized tool for interactively analyzing, and collaborating gained insights and discoveries based on a novel story mechanism that capture, re-use and share task-related explorative events.

University Technology Transfer Factors as Predictors of Entrepreneurial Orientation

ERIC Educational Resources Information Center

Kirkman, Dorothy M.

2011-01-01

University technology transfer is a collaborative effort between academia and industry involving knowledge sharing and learning. Working closely with their university partners affords biotechnology firms the opportunity to successfully develop licensed inventions and gain access to novel scientific and technological discoveries. These factors may…

Acts of Discovery: Using Collaborative Research to Mobilize and Generate Knowledge about Visual Arts Teaching Practice

ERIC Educational Resources Information Center

Mitchell, Donna Mathewson

2014-01-01

Visual arts teachers engage in complex work on a daily basis. This work is informed by practical knowledge that is rarely examined or drawn on in research or in the development of policy. Focusing on the work of secondary visual arts teachers, this article reports on a research program conducted in a regional area of New South Wales, Australia.…

Do quality improvement collaboratives' educational components match the dominant learning style preferences of the participants?

PubMed

Weggelaar-Jansen, Anne Marie; van Wijngaarden, Jeroen; Slaghuis, Sarah-Sue

2015-06-20

Quality improvement collaboratives are used to improve healthcare by various organizations. Despite their popularity literature shows mixed results on their effectiveness. A quality improvement collaborative can be seen as a temporary learning organization in which knowledge about improvement themes and methods is exchanged. In this research we studied: Does the learning approach of a quality improvement collaborative match the learning styles preferences of the individual participants and how does that affect the learning process of participants? This research used a mixed methods design combining a validated learning style questionnaire with data collected in the tradition of action research methodology to study two Dutch quality improvement collaboratives. The questionnaire is based on the learning style model of Ruijters and Simons, distinguishing five learning style preferences: Acquisition of knowledge, Apperception from others, Discovery of new insights, Exercising in fictitious situations and Participation with others. The most preferred learning styles of the participants were Discovery and Participation. The learning style Acquisition was moderately preferred and Apperception and Exercising were least preferred. The educational components of the quality improvement collaboratives studied (national conferences, half-day learning sessions, faculty site visits and use of an online tool) were predominantly associated with the learning styles Acquisition and Apperception. We observed a decrease in attendance to the learning activities and non-conformance with the standardized set goals and approaches. We conclude that the participants' satisfaction with the offered learning approach changed over time. The lacking match between these learning style preferences and the learning approach in the educational components of the quality improvement collaboratives studied might be the reason why the participants felt they did not gain new insights and therefore ceased their participation in the collaborative. This study provides guidance for future organisers and participants of quality improvement collaboratives about which learning approaches will best suit the participants and enhance improvement work.

Building Community-Engaged Health Research and Discovery Infrastructure on the South Side of Chicago: Science in Service to Community Priorities

PubMed Central

Lindau, Stacy Tessler; Makelarski, Jennifer A.; Chin, Marshall H.; Desautels, Shane; Johnson, Daniel; Johnson, Waldo E.; Miller, Doriane; Peters, Susan; Robinson, Connie; Schneider, John; Thicklin, Florence; Watson, Natalie P.; Wolfe, Marcus; Whitaker, Eric

2011-01-01

Objective To describe the roles community members can and should play in, and an asset-based strategy used by Chicago’s South Side Health and Vitality Studies for, building sustainable, large-scale community health research infrastructure. The Studies are a family of research efforts aiming to produce actionable knowledge to inform health policy, programming, and investments for the region. Methods Community and university collaborators, using a consensus-based approach, developed shared theoretical perspectives, guiding principles, and a model for collaboration in 2008, which were used to inform an asset-based operational strategy. Ongoing community engagement and relationship-building support the infrastructure and research activities of the Studies. Results Key steps in the asset-based strategy include: 1) continuous community engagement and relationship building, 2) identifying community priorities, 3) identifying community assets, 4) leveraging assets, 5) conducting research, 6) sharing knowledge and 7) informing action. Examples of community member roles, and how these are informed by the Studies’ guiding principles, are provided. Conclusions Community and university collaborators, with shared vision and principles, can effectively work together to plan innovative, large-scale community-based research that serves community needs and priorities. Sustainable, effective models are needed to realize NIH’s mandate for meaningful translation of biomedical discovery into improved population health. PMID:21236295

Emerging International Researchers: Findings from the Evaluation of the East Asia and Pacific Summer Institutes Program

ERIC Educational Resources Information Center

Martinez, Alina; Neishi, Kristen; Parsad, Amanda; Whittaker, Karla; Epstein, Carter

2012-01-01

Students in science and engineering (S&E) are preparing for careers in fields where international partnerships are increasingly important to advancing knowledge and discoveries. It has been over a decade since the National Science Board (NSB) highlighted the importance of international collaboration and called for increased government…

Discovery of User-Oriented Class Associations for Enriching Library Classification Schemes.

ERIC Educational Resources Information Center

Pu, Hsiao-Tieh

2002-01-01

Presents a user-based approach to exploring the possibility of adding user-oriented class associations to hierarchical library classification schemes. Classes not grouped in the same subject hierarchies yet relevant to users' knowledge are obtained by analyzing a log book of a university library's circulation records, using collaborative filtering…

Hackathons as a means of accelerating scientific discoveries and knowledge transfer.

PubMed

Ghouila, Amel; Siwo, Geoffrey Henry; Entfellner, Jean-Baka Domelevo; Panji, Sumir; Button-Simons, Katrina A; Davis, Sage Zenon; Fadlelmola, Faisal M; Ferdig, Michael T; Mulder, Nicola

2018-05-01

Scientific research plays a key role in the advancement of human knowledge and pursuit of solutions to important societal challenges. Typically, research occurs within specific institutions where data are generated and subsequently analyzed. Although collaborative science bringing together multiple institutions is now common, in such collaborations the analytical processing of the data is often performed by individual researchers within the team, with only limited internal oversight and critical analysis of the workflow prior to publication. Here, we show how hackathons can be a means of enhancing collaborative science by enabling peer review before results of analyses are published by cross-validating the design of studies or underlying data sets and by driving reproducibility of scientific analyses. Traditionally, in data analysis processes, data generators and bioinformaticians are divided and do not collaborate on analyzing the data. Hackathons are a good strategy to build bridges over the traditional divide and are potentially a great agile extension to the more structured collaborations between multiple investigators and institutions. © 2018 Ghouila et al.; Published by Cold Spring Harbor Laboratory Press.

Learning Management Systems: Practical Considerations for the Selection and Implementation of an E-learning Platform for the Navy

DTIC Science & Technology

2007-01-28

is interested in B2B and B2C e-commerce, enterprise resource planning, e-procurement, supply-chain management, data mining, and knowledge discovery... social networking tools, collaborative spaces, knowledge management, “connecting-enabling” protocols like RSS, and other tools. The intent of the ILE...delivered to them, what learning pedagogy is appropriate for them, the optimal level of social interaction for learning, and available resources

Nurses collaborating with cross disciplinary networks: starting to integrate genomics into practice.

PubMed

Adegbola, Maxine

2010-07-01

Nurses and other health-care providers are poised to include genetic discoveries into practice settings and to translate such knowledge for consumer benefit within culturally appropriate contexts. Nurses must seek collaboration with multi-disciplinary networks both locally and internationally. They must also capitalize on the expertise of other seasoned researchers in order to gain national and international exposure, recognition, and funding. Scholarly tailgating is using network relationships to achieve one's professional goals, and capitalizing on expert knowledge from seasoned researchers, educators, and practitioners from diverse international groups. By using scholarly tailgating principles, nurses can become important agents of change for multi-disciplinary networks, and thereby assist in decreasing health disparities. The purpose of this document is to encourage and inspire nurses to seek collaborative multi-disciplinary networks to enable genomic integration into health-care practice and education. Strategies for integrating genomics into practice settings are discussed.

Mapping the Sloan Digital Sky Survey's Global Impact

NASA Astrophysics Data System (ADS)

Chen, Chaomei; Zhang, Jian; Vogeley, Michael S.

2009-07-01

The scientific capacity of a country is essential in todayâ's increasingly globalized science and technology ecosystem. Scientific capacity has four increasingly advanced levels of capabilities: absorbing, applying, creating, and retaining scientific knowledge. Moving to a advanced level requires additional skills and training. For example, it requires more specialized skills to apply scientific knowledge than to absorb knowledge. Similarly, making new discoveries requires more knowledge than applying existing procedures. Research has shown the importance of addressing specific, local problems while tapping into globally available expertise and resources. Accessing scientific knowledge is the first step towards absorbing knowledge. Low-income countries have increased their access to scientific literature on the Internet, but to what extent has this access led to more advanced levels of scientific capacity? Interdisciplinary and international collaboration may hold the key to creating and retaining knowledge. For example, creative ideas tend to be associated with inspirations originated from a diverse range of perspectives On the other hand, not all collaborations are productive. Assessing global science and technology needs to address both successes and failures and reasons behind them.

Evaluation of the East Asia and Pacific Summer Institutes Program: Final Report. Revised Draft. GS-10F-0086K

ERIC Educational Resources Information Center

Martinez, Alina; Neishi, Kristen; Parsad, Amanda; Whittaker, Karla; Epstein, Carter

2012-01-01

Students in science and engineering (S&E) are preparing for careers in fields where international partnerships are increasingly important to advancing knowledge and discoveries. It has been over a decade since the National Science Board (NSB) highlighted the importance of international collaboration and called for increased government…

Pro-Am Collaboration for Support of NASA Comet ISON Observing Campaign (CIOC)

NASA Astrophysics Data System (ADS)

Yanamandra-Fisher, P. A.; Warner, E.

2013-09-01

From the initial discovery of C/2012 S1 (ISON) by Russian amateur astronomers in September 2012 [1] to the present day, amateur astronomers provide valuable resources of global coverage, data, and legacy knowledge to the professional community. The NASA Comet ISON Observing Campaign (CIOC) has leveraged professional-amateur collaborations via web and social media as part of its mission to facilitate a multi-spectral and multi-facility observation campaign that includes an armada of NASA's ground-based facilities, orbital observatories, and spacecraft. One of the most important goals of these pro-am collaborations is the monitoring of the morphological, photometric, and activity-related evolution of the comet.

Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB)

PubMed Central

Ekins, Sean; Spektor, Anna Coulon; Clark, Alex M.; Dole, Krishna; Bunin, Barry A.

2016-01-01

Neglected disease drug discovery is generally poorly funded compared with major diseases and hence there is an increasing focus on collaboration and precompetitive efforts such as public–private partnerships (PPPs). The More Medicines for Tuberculosis (MM4TB) project is one such collaboration funded by the EU with the goal of discovering new drugs for tuberculosis. Collaborative Drug Discovery has provided a commercial web-based platform called CDD Vault which is a hosted collaborative solution for securely sharing diverse chemistry and biology data. Using CDD Vault alongside other commercial and free cheminformatics tools has enabled support of this and other large collaborative projects, aiding drug discovery efforts and fostering collaboration. We will describe CDD's efforts in assisting with the MM4TB project. PMID:27884746

Hess Deep Interactive Lab: Exploring the Structure and Formation of the Oceanic Crust through Hands-On Models and Online Tools

NASA Astrophysics Data System (ADS)

Kurtz, N.; Marks, N.; Cooper, S. K.

2014-12-01

Scientific ocean drilling through the International Ocean Discovery Program (IODP) has contributed extensively to our knowledge of Earth systems science. However, many of its methods and discoveries can seem abstract and complicated for students. Collaborations between scientists and educators/artists to create accurate yet engaging demonstrations and activities have been crucial to increasing understanding and stimulating interest in fascinating geological topics. One such collaboration, which came out of Expedition 345 to the Hess Deep Rift, resulted in an interactive lab to explore sampling rocks from the usually inacessible lower oceanic crust, offering an insight into the geological processes that form the structure of the Earth's crust. This Hess Deep Interactive Lab aims to explain several significant discoveries made by oceanic drilling utilizing images of actual thin sections and core samples recovered from IODP expeditions. . Participants can interact with a physical model to learn about the coring and drilling processes, and gain an understanding of seafloor structures. The collaboration of this lab developed as a need to explain fundamental notions of the ocean crust formed at fast-spreading ridges. A complementary interactive online lab can be accessed at www.joidesresolution.org for students to engage further with these concepts. This project explores the relationship between physical and on-line models to further understanding, including what we can learn from the pros and cons of each.

Project-focused activity and knowledge tracker: a unified data analysis, collaboration, and workflow tool for medicinal chemistry project teams.

PubMed

Brodney, Marian D; Brosius, Arthur D; Gregory, Tracy; Heck, Steven D; Klug-McLeod, Jacquelyn L; Poss, Christopher S

2009-12-01

Advances in the field of drug discovery have brought an explosion in the quantity of data available to medicinal chemists and other project team members. New strategies and systems are needed to help these scientists to efficiently gather, organize, analyze, annotate, and share data about potential new drug molecules of interest to their project teams. Herein we describe a suite of integrated services and end-user applications that facilitate these activities throughout the medicinal chemistry design cycle. The Automated Data Presentation (ADP) and Virtual Compound Profiler (VCP) processes automate the gathering, organization, and storage of real and virtual molecules, respectively, and associated data. The Project-Focused Activity and Knowledge Tracker (PFAKT) provides a unified data analysis and collaboration environment, enhancing decision-making, improving team communication, and increasing efficiency.

The founding of ISOTT: the Shamattawa of engineering science and medical science.

PubMed

Bruley, Duane F

2014-01-01

The founding of ISOTT was based upon the blending of Medical and Engineering sciences. This occurrence is portrayed by the Shamattawa, the joining of the Chippewa and Flambeau rivers. Beginning with Carl Scheele's discovery of oxygen, the medical sciences advanced the knowledge of its importance to physiological phenomena. Meanwhile, engineering science was evolving as a mathematical discipline used to define systems quantitatively from basic principles. In particular, Adolf Fick's employment of a gradient led to the formalization of transport phenomena. These two rivers of knowledge were blended to found ISOTT at Clemson/Charleston, South Carolina, USA, in 1973.The establishment of our society with a mission to support the collaborative work of medical scientists, clinicians and all disciplines of engineering was a supporting step in the evolution of bioengineering. Traditional engineers typically worked in areas not requiring knowledge of biology or the life sciences. By encouraging collaboration between medical science and traditional engineering, our society became one of the forerunners in establishing bioengineering as the fifth traditional discipline of engineering.

Crossing boundaries to improve mental health in the Americas: international collaborative authorship.

PubMed

Killion, Chery M

2007-01-01

A nurse anthropologist with a background in international collaborations attended Project LEAD for two years, which enabled her to continue to serve as an advocate for the mentally ill in Belize. The anthropologist collaborated with a psychiatrist from Belize to develop a cross-cultural, cross-discipline publication, "Mental Health in Belize: A National Priority, " which highlights the work of psychiatric nurse practitioners in the country. The researcher learned to collaborate with her peer in Belize through face to face discussions and e-mail and overcame technological difficulties and cultural barriers to produce an international publication. Project LEAD gave the author a sense of self-discovery and self-knowledge, reinforced core values, and developed a frame of reference for leadership. The author also benefited from discussions by local, national, and international leaders on leadership in terms of its key components, contexts, challenges, triumphs, and styles.

The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities

PubMed Central

Chong, Jessica X.; Buckingham, Kati J.; Jhangiani, Shalini N.; Boehm, Corinne; Sobreira, Nara; Smith, Joshua D.; Harrell, Tanya M.; McMillin, Margaret J.; Wiszniewski, Wojciech; Gambin, Tomasz; Coban Akdemir, Zeynep H.; Doheny, Kimberly; Scott, Alan F.; Avramopoulos, Dimitri; Chakravarti, Aravinda; Hoover-Fong, Julie; Mathews, Debra; Witmer, P. Dane; Ling, Hua; Hetrick, Kurt; Watkins, Lee; Patterson, Karynne E.; Reinier, Frederic; Blue, Elizabeth; Muzny, Donna; Kircher, Martin; Bilguvar, Kaya; López-Giráldez, Francesc; Sutton, V. Reid; Tabor, Holly K.; Leal, Suzanne M.; Gunel, Murat; Mane, Shrikant; Gibbs, Richard A.; Boerwinkle, Eric; Hamosh, Ada; Shendure, Jay; Lupski, James R.; Lifton, Richard P.; Valle, David; Nickerson, Deborah A.; Bamshad, Michael J.

2015-01-01

Discovering the genetic basis of a Mendelian phenotype establishes a causal link between genotype and phenotype, making possible carrier and population screening and direct diagnosis. Such discoveries also contribute to our knowledge of gene function, gene regulation, development, and biological mechanisms that can be used for developing new therapeutics. As of February 2015, 2,937 genes underlying 4,163 Mendelian phenotypes have been discovered, but the genes underlying ∼50% (i.e., 3,152) of all known Mendelian phenotypes are still unknown, and many more Mendelian conditions have yet to be recognized. This is a formidable gap in biomedical knowledge. Accordingly, in December 2011, the NIH established the Centers for Mendelian Genomics (CMGs) to provide the collaborative framework and infrastructure necessary for undertaking large-scale whole-exome sequencing and discovery of the genetic variants responsible for Mendelian phenotypes. In partnership with 529 investigators from 261 institutions in 36 countries, the CMGs assessed 18,863 samples from 8,838 families representing 579 known and 470 novel Mendelian phenotypes as of January 2015. This collaborative effort has identified 956 genes, including 375 not previously associated with human health, that underlie a Mendelian phenotype. These results provide insight into study design and analytical strategies, identify novel mechanisms of disease, and reveal the extensive clinical variability of Mendelian phenotypes. Discovering the gene underlying every Mendelian phenotype will require tackling challenges such as worldwide ascertainment and phenotypic characterization of families affected by Mendelian conditions, improvement in sequencing and analytical techniques, and pervasive sharing of phenotypic and genomic data among researchers, clinicians, and families. PMID:26166479

A Collaborative Web-Based Architecture For Sharing ToxCast Data

EPA Science Inventory

Collaborative Drug Discovery (CDD) has created a scalable platform that combines traditional drug discovery informatics with Web2.0 features. Traditional drug discovery capabilities include substructure, similarity searching and export to excel or sdf formats. Web2.0 features inc...

The future of interaction on the Internet

NASA Technical Reports Server (NTRS)

Maybury, Mark T.

1994-01-01

The federated collection of heterogeneous computers we collectively term the Internet has been the force behind revolutionary change, both in terms of actual practice and imagination of what might be. The raw numbers are staggering: IP registrations are now ten times that of only five years ago; and between 1992 - 1993 the amount of information being transferred tripled. Changes in three key areas: knowledge discovery; intelligent information access; and collaboration on the Internet are discussed.

ESIP's Earth Science Knowledge Graph (ESKG) Testbed Project: An Automatic Approach to Building Interdisciplinary Earth Science Knowledge Graphs to Improve Data Discovery

NASA Astrophysics Data System (ADS)

McGibbney, L. J.; Jiang, Y.; Burgess, A. B.

2017-12-01

Big Earth observation data have been produced, archived and made available online, but discovering the right data in a manner that precisely and efficiently satisfies user needs presents a significant challenge to the Earth Science (ES) community. An emerging trend in information retrieval community is to utilize knowledge graphs to assist users in quickly finding desired information from across knowledge sources. This is particularly prevalent within the fields of social media and complex multimodal information processing to name but a few, however building a domain-specific knowledge graph is labour-intensive and hard to keep up-to-date. In this work, we update our progress on the Earth Science Knowledge Graph (ESKG) project; an ESIP-funded testbed project which provides an automatic approach to building a dynamic knowledge graph for ES to improve interdisciplinary data discovery by leveraging implicit, latent existing knowledge present within across several U.S Federal Agencies e.g. NASA, NOAA and USGS. ESKG strengthens ties between observations and user communities by: 1) developing a knowledge graph derived from various sources e.g. Web pages, Web Services, etc. via natural language processing and knowledge extraction techniques; 2) allowing users to traverse, explore, query, reason and navigate ES data via knowledge graph interaction. ESKG has the potential to revolutionize the way in which ES communities interact with ES data in the open world through the entity, spatial and temporal linkages and characteristics that make it up. This project enables the advancement of ESIP collaboration areas including both Discovery and Semantic Technologies by putting graph information right at our fingertips in an interactive, modern manner and reducing the efforts to constructing ontology. To demonstrate the ESKG concept, we will demonstrate use of our framework across NASA JPL's PO.DAAC, NOAA's Earth Observation Requirements Evaluation System (EORES) and various USGS systems.

Teach-Discover-Treat (TDT): Collaborative Computational Drug Discovery for Neglected Diseases

PubMed Central

Jansen, Johanna M.; Cornell, Wendy; Tseng, Y. Jane; Amaro, Rommie E.

2012-01-01

Teach – Discover – Treat (TDT) is an initiative to promote the development and sharing of computational tools solicited through a competition with the aim to impact education and collaborative drug discovery for neglected diseases. Collaboration, multidisciplinary integration, and innovation are essential for successful drug discovery. This requires a workforce that is trained in state-of-the-art workflows and equipped with the ability to collaborate on platforms that are accessible and free. The TDT competition solicits high quality computational workflows for neglected disease targets, using freely available, open access tools. PMID:23085175

The Importance of Earth Observations and Data Collaboration within Environmental Intelligence Supporting Arctic Research

NASA Technical Reports Server (NTRS)

Casas, Joseph

2017-01-01

Within the IARPC Collaboration Team activities of 2016, Arctic in-situ and remote earth observations advanced topics such as :1) exploring the role for new and innovative autonomous observing technologies in the Arctic; 2) advancing catalytic national and international community based observing efforts in support of the National Strategy for the Arctic Region; and 3) enhancing the use of discovery tools for observing system collaboration such as the U.S. National Oceanic and Atmospheric Administration (NOAA) Arctic Environmental Response Management Application (ERMA) and the U.S. National Aeronautics and Space Administration (NASA) Arctic Collaborative Environment (ACE) project geo reference visualization decision support and exploitation internet based tools. Critical to the success of these earth observations for both in-situ and remote systems is the emerging of new and innovative data collection technologies and comprehensive modeling as well as enhanced communications and cyber infrastructure capabilities which effectively assimilate and dissemination many environmental intelligence products in a timely manner. The Arctic Collaborative Environment (ACE) project is well positioned to greatly enhance user capabilities for accessing, organizing, visualizing, sharing and producing collaborative knowledge for the Arctic.

Collaborative Assessment for Employment Planning: Transition Assessment and the Discovery Process

ERIC Educational Resources Information Center

Stevenson, Bradley S.; Fowler, Catherine H.

2016-01-01

As the Workforce Innovation and Opportunities Act (WIOA) is implemented across the nation, special education and vocational rehabilitation professionals will need to increase their level of collaboration. One area of potential collaboration is assessment--transition assessment for the field of special education and the discovery process for adult…

Early Detection of Cancer by Affinity Mass Spectrometry-Set Aside funds — EDRN Public Portal

Cancer.gov

A.   RATIONALE The recent introduction of multiple reaction monitoring capabilities offers unprecedented capability to the research arsenal available to protein based biomarker discovery. Specific to the discovery process this technology offers an ability to monitor specific protein changes in concentration and/or post-translational modification. The ability to accurately confirm specific biomarkers in a sensitive and reproducible manner is critical to the confirmation and pre-validation process. We are proposing two collaborative studies that promise to develop Multiple Reaction Monitoring (MRM) work flows for the biomarker scientific community and specifically for EDRN. B.   GOALS The overall goal for this proposal is the identification of protein biomarkers that can be associated with prostate cancer detection. The underlying goal is the application of a novel technological approach aided by MRM toward biomarker discovery. An additional goal will be the dissemination of knowledge gained from these studies EDRN wide.

Scholar in Residence: an innovative application of the scholarship of engagement.

PubMed

Jacelon, Cynthia S; Donoghue, Linda Carey; Breslin, Eileen

2010-01-01

Universities are expected to engage with communities for the benefit of both. Based on the definition of scholarship advanced by Boyer in the 1990s, inclusive of the scholarship of discovery, integration, teaching, and application, the School of Nursing and Jewish Geriatric Services, Inc., have instituted a unique collaboration entitled the Scholar in Residence. Unlike traditional agreements between schools of nursing and agencies to provide clinical experience and educate students, this agreement is designed to build scholarship for both university and agency. Outcomes include building opportunities for faculty and staff scholarship at the agency, enhancing the integration of knowledge into practice, intensifying opportunities for the sharing of knowledge by providing opportunities for students to work with faculty and staff on individual projects, and enriching the application of knowledge by providing opportunities for faculty clinical practice and consultation. The Scholar in Residence is a model of collaboration between the university and the community that reflects the mission of the university and provides value to the community agency through strategic engagement of both entities. Copyright 2010 Elsevier Inc. All rights reserved.

Science education as an exercise in foreign affairs

NASA Astrophysics Data System (ADS)

Cobern, William W.

1995-07-01

In Kuhnian terms, science education has been a process of inducting students into the reigning paradigms of science. In 1985, Duschl noted that science education had not kept pace with developments in the history and philosophy of science. The claim of certainty for scientific knowledge which science educators grounded in positivist philosophy was rendered untenable years ago and it turns out that social and cultural factors surrounding discovery may be at least as important as the justification of knowledge. Capitalizing on these new developments, Duschl, Hamilton, and Grandy (1990) wrote a compelling argument for the need to have a joint research effort in science education involving the philosophy and history of science along with cognitive psychology. However, the issue of discovery compels the research community go one step further. If the science education community has been guilty of neglecting historical and philosophical issues in science, let it not now be guilty of ignoring sociological issues in science. A collaborative view ought also to include the sociological study of cultural milieu in which scientific ideas arise. In other words, an external sociological perspective on science. The logic of discovery from a sociological point of view implies that conceptual change can also be viewed from a sociological perspective.

UCSF Small Molecule Discovery Center: innovation, collaboration and chemical biology in the Bay Area.

PubMed

Arkin, Michelle R; Ang, Kenny K H; Chen, Steven; Davies, Julia; Merron, Connie; Tang, Yinyan; Wilson, Christopher G M; Renslo, Adam R

2014-05-01

The Small Molecule Discovery Center (SMDC) at the University of California, San Francisco, works collaboratively with the scientific community to solve challenging problems in chemical biology and drug discovery. The SMDC includes a high throughput screening facility, medicinal chemistry, and research labs focused on fundamental problems in biochemistry and targeted drug delivery. Here, we outline our HTS program and provide examples of chemical tools developed through SMDC collaborations. We have an active research program in developing quantitative cell-based screens for primary cells and whole organisms; here, we describe whole-organism screens to find drugs against parasites that cause neglected tropical diseases. We are also very interested in target-based approaches for so-called "undruggable", protein classes and fragment-based lead discovery. This expertise has led to several pharmaceutical collaborations; additionally, the SMDC works with start-up companies to enable their early-stage research. The SMDC, located in the biotech-focused Mission Bay neighborhood in San Francisco, is a hub for innovative small-molecule discovery research at UCSF.

Use of model organism and disease databases to support matchmaking for human disease gene discovery.

PubMed

Mungall, Christopher J; Washington, Nicole L; Nguyen-Xuan, Jeremy; Condit, Christopher; Smedley, Damian; Köhler, Sebastian; Groza, Tudor; Shefchek, Kent; Hochheiser, Harry; Robinson, Peter N; Lewis, Suzanna E; Haendel, Melissa A

2015-10-01

The Matchmaker Exchange application programming interface (API) allows searching a patient's genotypic or phenotypic profiles across clinical sites, for the purposes of cohort discovery and variant disease causal validation. This API can be used not only to search for matching patients, but also to match against public disease and model organism data. This public disease data enable matching known diseases and variant-phenotype associations using phenotype semantic similarity algorithms developed by the Monarch Initiative. The model data can provide additional evidence to aid diagnosis, suggest relevant models for disease mechanism and treatment exploration, and identify collaborators across the translational divide. The Monarch Initiative provides an implementation of this API for searching multiple integrated sources of data that contextualize the knowledge about any given patient or patient family into the greater biomedical knowledge landscape. While this corpus of data can aid diagnosis, it is also the beginning of research to improve understanding of rare human diseases. © 2015 WILEY PERIODICALS, INC.

Outcomes in mothers with rheumatic diseases and their offspring workshop

PubMed Central

Neville, Autumn; Bernatsky, Sasha; Kuriya, Bindee; Bujold, Emmanuel; Chakravarty, Eliza; Platt, Robert W; Bérard, Anick; Vinet, Évelyne

2017-01-01

This conference report describes six presentations that were given during a Canadian Institutes for Health Research-funded workshop. The goal of the workshop was to discuss key knowledge gaps in the study of outcomes in mothers with rheumatic diseases and their offspring. Presentations focused on epidemiological and methodological issues associated with the reproductive and perinatal health of women with rheumatic diseases. Discussions of relevant recent research allowed for discovery of potential data sources that could facilitate interdisciplinary research and created the opportunity for future collaborations.

Joint the Center for Applied Scientific Computing

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

Gamblin, Todd; Bremer, Timo; Van Essen, Brian

The Center for Applied Scientific Computing serves as Livermore Lab’s window to the broader computer science, computational physics, applied mathematics, and data science research communities. In collaboration with academic, industrial, and other government laboratory partners, we conduct world-class scientific research and development on problems critical to national security. CASC applies the power of high-performance computing and the efficiency of modern computational methods to the realms of stockpile stewardship, cyber and energy security, and knowledge discovery for intelligence applications.

Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System.

PubMed

Wu, Zhenyu; Xu, Yuan; Yang, Yunong; Zhang, Chunhong; Zhu, Xinning; Ji, Yang

2017-02-20

Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS). Moreover, a uniform knowledge representation of physical resources is quite necessary for further composition, collaboration, and decision-making process in CPS. Though several efforts have integrated semantics with WoT, such as knowledge engineering methods based on semantic sensor networks (SSN), it still could not represent the complex relationships between devices when dynamic composition and collaboration occur, and it totally depends on manual construction of a knowledge base with low scalability. In this paper, to addresses these limitations, we propose the semantic Web of Things (SWoT) framework for CPS (SWoT4CPS). SWoT4CPS provides a hybrid solution with both ontological engineering methods by extending SSN and machine learning methods based on an entity linking (EL) model. To testify to the feasibility and performance, we demonstrate the framework by implementing a temperature anomaly diagnosis and automatic control use case in a building automation system. Evaluation results on the EL method show that linking domain knowledge to DBpedia has a relative high accuracy and the time complexity is at a tolerant level. Advantages and disadvantages of SWoT4CPS with future work are also discussed.

Information visualisation for science and policy: engaging users and avoiding bias.

PubMed

McInerny, Greg J; Chen, Min; Freeman, Robin; Gavaghan, David; Meyer, Miriah; Rowland, Francis; Spiegelhalter, David J; Stefaner, Moritz; Tessarolo, Geizi; Hortal, Joaquin

2014-03-01

Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create engaging and robust reporting, or support online resources. Producing accessible and unbiased visualisations from complicated, uncertain data requires expertise and knowledge from science, policy, computing, and design. However, visualisation is rarely found in our scientific training, organisations, or collaborations. As new policy programmes develop [e.g., the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES)], we need information visualisation to permeate increasingly both the work of scientists and science policy. The alternative is increased potential for missed discoveries, miscommunications, and, at worst, creating a bias towards the research that is easiest to display. Copyright © 2014 Elsevier Ltd. All rights reserved.

Working with Data: Discovering Knowledge through Mining and Analysis; Systematic Knowledge Management and Knowledge Discovery; Text Mining; Methodological Approach in Discovering User Search Patterns through Web Log Analysis; Knowledge Discovery in Databases Using Formal Concept Analysis; Knowledge Discovery with a Little Perspective.

ERIC Educational Resources Information Center

Qin, Jian; Jurisica, Igor; Liddy, Elizabeth D.; Jansen, Bernard J; Spink, Amanda; Priss, Uta; Norton, Melanie J.

2000-01-01

These six articles discuss knowledge discovery in databases (KDD). Topics include data mining; knowledge management systems; applications of knowledge discovery; text and Web mining; text mining and information retrieval; user search patterns through Web log analysis; concept analysis; data collection; and data structure inconsistency. (LRW)

Valuing the scholarship of integration and the scholarship of application in the academy for health sciences scholars: recommended methods

PubMed Central

Hofmeyer, Anne; Newton, Mandi; Scott, Cathie

2007-01-01

In the landmark 1990 publication Scholarship Reconsidered, Boyer challenged the 'teaching verses research debates' by advocating for the scholarship of discovery, teaching, integration, and application. The scholarship of discovery considers publications and research as the yardstick in the merit, promotion and tenure system the world over. But this narrow view of scholarship does not fully support the obligations of universities to serve global societies and to improve health and health equity. Mechanisms to report the scholarship of teaching have been developed and adopted by some universities. In this article, we contribute to the less developed areas of scholarship, i.e. integration and application. We firstly situate the scholarship of discovery, teaching, integration and application within the interprofessional and knowledge exchange debates. Second, we propose a means for health science scholars to report the process and outcomes of the scholarship of integration and application with other disciplines, decision-makers and communities. We conclude with recommendations for structural and process change in faculty merit, tenure, and promotion systems so that health science scholars with varied academic portfolios are valued and many forms of academic scholarship are sustained. It is vital academic institutions remain relevant in an era when the production of knowledge is increasingly recognized as a social collaborative activity. PMID:17535436

Advanced biological and chemical discovery (ABCD): centralizing discovery knowledge in an inherently decentralized world.

PubMed

Agrafiotis, Dimitris K; Alex, Simson; Dai, Heng; Derkinderen, An; Farnum, Michael; Gates, Peter; Izrailev, Sergei; Jaeger, Edward P; Konstant, Paul; Leung, Albert; Lobanov, Victor S; Marichal, Patrick; Martin, Douglas; Rassokhin, Dmitrii N; Shemanarev, Maxim; Skalkin, Andrew; Stong, John; Tabruyn, Tom; Vermeiren, Marleen; Wan, Jackson; Xu, Xiang Yang; Yao, Xiang

2007-01-01

We present ABCD, an integrated drug discovery informatics platform developed at Johnson & Johnson Pharmaceutical Research & Development, L.L.C. ABCD is an attempt to bridge multiple continents, data systems, and cultures using modern information technology and to provide scientists with tools that allow them to analyze multifactorial SAR and make informed, data-driven decisions. The system consists of three major components: (1) a data warehouse, which combines data from multiple chemical and pharmacological transactional databases, designed for supreme query performance; (2) a state-of-the-art application suite, which facilitates data upload, retrieval, mining, and reporting, and (3) a workspace, which facilitates collaboration and data sharing by allowing users to share queries, templates, results, and reports across project teams, campuses, and other organizational units. Chemical intelligence, performance, and analytical sophistication lie at the heart of the new system, which was developed entirely in-house. ABCD is used routinely by more than 1000 scientists around the world and is rapidly expanding into other functional areas within the J&J organization.

A role for physicians in ethnopharmacology and drug discovery.

PubMed

Raza, Mohsin

2006-04-06

Ethnopharmacology investigations classically involved traditional healers, botanists, anthropologists, chemists and pharmacologists. The role of some groups of researchers but not of physician has been highlighted and well defined in ethnopharmacological investigations. Historical data shows that discovery of several important modern drugs of herbal origin owe to the medical knowledge and clinical expertise of physicians. Current trends indicate negligible role of physicians in ethnopharmacological studies. Rising cost of modern drug development is attributed to the lack of classical ethnopharmacological approach. Physicians can play multiple roles in the ethnopharmacological studies to facilitate drug discovery as well as to rescue authentic traditional knowledge of use of medicinal plants. These include: (1) Ethnopharmacological field work which involves interviewing healers, interpreting traditional terminologies into their modern counterparts, examining patients consuming herbal remedies and identifying the disease for which an herbal remedy is used. (2) Interpretation of signs and symptoms mentioned in ancient texts and suggesting proper use of old traditional remedies in the light of modern medicine. (3) Clinical studies on herbs and their interaction with modern medicines. (4) Advising pharmacologists to carryout laboratory studies on herbs observed during field studies. (5) Work in collaboration with local healers to strengthen traditional system of medicine in a community. In conclusion, physician's involvement in ethnopharmacological studies will lead to more reliable information on traditional use of medicinal plants both from field and ancient texts, more focused and cheaper natural product based drug discovery, as well as bridge the gap between traditional and modern medicine.

Apprenticeships, Collaboration and Scientific Discovery in Academic Field Studies

ERIC Educational Resources Information Center

Madden, Derek Scott; Grayson, Diane J.; Madden, Erinn H.; Milewski, Antoni V.; Snyder, Cathy Ann

2012-01-01

Teachers may use apprenticeships and collaboration as instructional strategies that help students to make authentic scientific discoveries as they work as amateur researchers in academic field studies. This concept was examined with 643 students, ages 14-72, who became proficient at field research through cognitive apprenticeships with the…

Introduction to biological complexity as a missing link in drug discovery.

PubMed

Gintant, Gary A; George, Christopher H

2018-06-06

Despite a burgeoning knowledge of the intricacies and mechanisms responsible for human disease, technological advances in medicinal chemistry, and more efficient assays used for drug screening, it remains difficult to discover novel and effective pharmacologic therapies. Areas covered: By reference to the primary literature and concepts emerging from academic and industrial drug screening landscapes, the authors propose that this disconnect arises from the inability to scale and integrate responses from simpler model systems to outcomes from more complex and human-based biological systems. Expert opinion: Further collaborative efforts combining target-based and phenotypic-based screening along with systems-based pharmacology and informatics will be necessary to harness the technological breakthroughs of today to derive the novel drug candidates of tomorrow. New questions must be asked of enabling technologies-while recognizing inherent limitations-in a way that moves drug development forward. Attempts to integrate mechanistic and observational information acquired across multiple scales frequently expose the gap between our knowledge and our understanding as the level of complexity increases. We hope that the thoughts and actionable items highlighted will help to inform the directed evolution of the drug discovery process.

QuarkNet: Benefits for Teachers, Their Students and Physicists

NASA Astrophysics Data System (ADS)

Bardeen, Marjorie

2017-01-01

The QuarkNet Collaboration has forged nontraditional relationships among particle physicists, high school teachers and their students. QuarkNet centers are located at 50 + universities and labs across the U.S. and Puerto Rico. We provide professional development for teachers and create opportunities for teachers and students to engage in particle physics data investigations and join research teams. Students develop scientific knowledge and habits of mind by working alongside scientists to make sense of the world using authentic experimental data. Our program is based a classroom vision where teaching strategies emulate closely the way scientists build knowledge through inquiry. We look at how student engagement in research and masterclasses develops an understanding about the process of scientific discovery and science using current scientific data. We also look at ways and to what extent teachers provide scientific discovery and science practices for students and how QuarkNet contributes to the professionalism of participating teachers. Also, we describe success factors that enhance local center programs and describe important benefits of the program that flow to university faculty. Funded by the National Science Foundation and the US Department of Energy.

Adventure into space.

PubMed

Burbidge, E M

1983-07-29

The exploration of the universe has captured mankind's interest since the earliest attempts to understand the sun, moon, planets, comets, and stars. The last few decades have seen explosive advances of knowledge, sparked by technological advances and by our entry into the space age. Achievements in solar system exploration, discoveries both in the Milky Way and in the farther universe, and challenges for the future are discussed. Of major concern worldwide is the need for people of goodwill in all nations to concentrate on the peaceful uses of outer space and on international collaboration.

Collaborative networks for both improvement and research.

PubMed

Clancy, Carolyn M; Margolis, Peter A; Miller, Marlene

2013-06-01

Moving significant therapeutic discoveries beyond early biomedical translation or T1 science and into practice involves: (1) T2 science, identifying "the right treatment for the right patient in the right way at the right time" (eg, patient-centered outcomes research) and tools to implement this knowledge (eg, guidelines, registries); and (2) T3 studies addressing how to achieve health care delivery change. Collaborative improvement networks can serve as large-scale, health system laboratories to engage clinicians, researchers, patients, and parents in testing approaches to translate research into practice. Improvement networks are of particular importance for pediatric T2 and T3 research, as evidence to establish safety and efficacy of therapeutic interventions in children is often lacking. Networks for improvement and research are also consistent with the Institute of Medicine's Learning Healthcare Systems model in which learning networks provide a system for improving care and outcomes and generate new knowledge in near real-time. Creation of total population registries in collaborative network sites provides large, representative study samples with high-quality data that can be used to generate evidence and to inform clinical decision-making. Networks use collaboration, data, and quality-improvement methods to standardize practice. Therefore, variation in outcomes due to unreliable and unnecessary care delivery is reduced, increasing statistical power, and allowing a consistent baseline from which to test new strategies. In addition, collaborative networks for improvement and research offer the opportunity to not only make improvements but also to study improvements to determine which interventions and combination of strategies work best in what settings.

The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.

PubMed

Poldrack, Russell A; Kittur, Aniket; Kalar, Donald; Miller, Eric; Seppa, Christian; Gil, Yolanda; Parker, D Stott; Sabb, Fred W; Bilder, Robert M

2011-01-01

Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what "mental processes" exist and how they relate to the tasks that are used to manipulate and measure them. This topic has been addressed informally in prior work, but we propose that cumulative progress in cognitive neuroscience requires a more systematic approach to representing the mental entities that are being mapped to brain function and the tasks used to manipulate and measure mental processes. We describe a new open collaborative project that aims to provide a knowledge base for cognitive neuroscience, called the Cognitive Atlas (accessible online at http://www.cognitiveatlas.org), and outline how this project has the potential to drive novel discoveries about both mind and brain.

The Power of a "Maverick" in Collaborative Problem Solving: An Experimental Investigation of Individual Perspective-Taking Within a Group.

PubMed

Hayashi, Yugo

2018-05-01

Integrating different perspectives is a sophisticated strategy for developing constructive interactions in collaborative problem solving. However, cognitive aspects such as individuals' knowledge and bias often obscure group consensus and produce conflict. This study investigated collaborative problem solving, focusing on a group member interacting with another member having a different perspective (a "maverick"). It was predicted that mavericks might mitigate disadvantages and facilitate perspective taking during problem solving. Thus, 344 university students participated in two laboratory-based experiments by engaging in a simple rule-discovery task that raised conflicts among perspectives. They interacted with virtual partners whose conversations were controlled by multiple conversational agents. Results show that when participants interacted with a maverick during the task, they were able to take others' perspectives and integrate different perspectives to solve the problem. Moreover, when participants interacted in groups with a positive mood, groups with a maverick outperformed groups having several perspectives. Copyright © 2018 Cognitive Science Society, Inc.

AACR-FDA-NCI Cancer Biomarkers Collaborative consensus report: advancing the use of biomarkers in cancer drug development.

PubMed

Khleif, Samir N; Doroshow, James H; Hait, William N

2010-07-01

Recent discoveries in cancer biology have greatly increased our understanding of cancer at the molecular and cellular level, but translating this knowledge into safe and effective therapies for cancer patients has proved to be challenging. There is a growing imperative to modernize the drug development process by incorporating new techniques that can predict the safety and effectiveness of new drugs faster, with more certainty, and at lower cost. Biomarkers are central to accelerating the identification and adoption of new therapies, but currently, many barriers impede their use in drug development and clinical practice. In 2007, the AACR-FDA-NCI Cancer Biomarkers Collaborative stepped into the national effort to bring together disparate stakeholders to clearly delineate these barriers, to develop recommendations for integrating biomarkers into the cancer drug development enterprise, and to set in motion the necessary action plans and collaborations to see the promise of biomarkers come to fruition, efficiently delivering quality cancer care to patients.

When fragments link: a bibliometric perspective on the development of fragment-based drug discovery.

PubMed

Romasanta, Angelo K S; van der Sijde, Peter; Hellsten, Iina; Hubbard, Roderick E; Keseru, Gyorgy M; van Muijlwijk-Koezen, Jacqueline; de Esch, Iwan J P

2018-05-05

Fragment-based drug discovery (FBDD) is a highly interdisciplinary field, rich in ideas integrated from pharmaceutical sciences, chemistry, biology, and physics, among others. To enrich our understanding of the development of the field, we used bibliometric techniques to analyze 3642 publications in FBDD, complementing accounts by key practitioners. Mapping its core papers, we found the transfer of knowledge from academia to industry. Co-authorship analysis showed that university-industry collaboration has grown over time. Moreover, we show how ideas from other scientific disciplines have been integrated into the FBDD paradigm. Keyword analysis showed that the field is organized into four interconnected practices: library design, fragment screening, computational methods, and optimization. This study highlights the importance of interactions among various individuals and institutions from diverse disciplines in newly emerging scientific fields. Copyright © 2018. Published by Elsevier Ltd.

Open source drug discovery--a new paradigm of collaborative research in tuberculosis drug development.

PubMed

Bhardwaj, Anshu; Scaria, Vinod; Raghava, Gajendra Pal Singh; Lynn, Andrew Michael; Chandra, Nagasuma; Banerjee, Sulagna; Raghunandanan, Muthukurussi V; Pandey, Vikas; Taneja, Bhupesh; Yadav, Jyoti; Dash, Debasis; Bhattacharya, Jaijit; Misra, Amit; Kumar, Anil; Ramachandran, Srinivasan; Thomas, Zakir; Brahmachari, Samir K

2011-09-01

It is being realized that the traditional closed-door and market driven approaches for drug discovery may not be the best suited model for the diseases of the developing world such as tuberculosis and malaria, because most patients suffering from these diseases have poor paying capacity. To ensure that new drugs are created for patients suffering from these diseases, it is necessary to formulate an alternate paradigm of drug discovery process. The current model constrained by limitations for collaboration and for sharing of resources with confidentiality hampers the opportunities for bringing expertise from diverse fields. These limitations hinder the possibilities of lowering the cost of drug discovery. The Open Source Drug Discovery project initiated by Council of Scientific and Industrial Research, India has adopted an open source model to power wide participation across geographical borders. Open Source Drug Discovery emphasizes integrative science through collaboration, open-sharing, taking up multi-faceted approaches and accruing benefits from advances on different fronts of new drug discovery. Because the open source model is based on community participation, it has the potential to self-sustain continuous development by generating a storehouse of alternatives towards continued pursuit for new drug discovery. Since the inventions are community generated, the new chemical entities developed by Open Source Drug Discovery will be taken up for clinical trial in a non-exclusive manner by participation of multiple companies with majority funding from Open Source Drug Discovery. This will ensure availability of drugs through a lower cost community driven drug discovery process for diseases afflicting people with poor paying capacity. Hopefully what LINUX the World Wide Web have done for the information technology, Open Source Drug Discovery will do for drug discovery. Copyright © 2011 Elsevier Ltd. All rights reserved.

A Drupal-Based Collaborative Framework for Science Workflows

NASA Astrophysics Data System (ADS)

Pinheiro da Silva, P.; Gandara, A.

2010-12-01

Cyber-infrastructure is built from utilizing technical infrastructure to support organizational practices and social norms to provide support for scientific teams working together or dependent on each other to conduct scientific research. Such cyber-infrastructure enables the sharing of information and data so that scientists can leverage knowledge and expertise through automation. Scientific workflow systems have been used to build automated scientific systems used by scientists to conduct scientific research and, as a result, create artifacts in support of scientific discoveries. These complex systems are often developed by teams of scientists who are located in different places, e.g., scientists working in distinct buildings, and sometimes in different time zones, e.g., scientist working in distinct national laboratories. The sharing of these specifications is currently supported by the use of version control systems such as CVS or Subversion. Discussions about the design, improvement, and testing of these specifications, however, often happen elsewhere, e.g., through the exchange of email messages and IM chatting. Carrying on a discussion about these specifications is challenging because comments and specifications are not necessarily connected. For instance, the person reading a comment about a given workflow specification may not be able to see the workflow and even if the person can see the workflow, the person may not specifically know to which part of the workflow a given comments applies to. In this paper, we discuss the design, implementation and use of CI-Server, a Drupal-based infrastructure, to support the collaboration of both local and distributed teams of scientists using scientific workflows. CI-Server has three primary goals: to enable information sharing by providing tools that scientists can use within their scientific research to process data, publish and share artifacts; to build community by providing tools that support discussions between scientists about artifacts used or created through scientific processes; and to leverage the knowledge collected within the artifacts and scientific collaborations to support scientific discoveries.

Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System

PubMed Central

Wu, Zhenyu; Xu, Yuan; Yang, Yunong; Zhang, Chunhong; Zhu, Xinning; Ji, Yang

2017-01-01

Web of Things (WoT) facilitates the discovery and interoperability of Internet of Things (IoT) devices in a cyber-physical system (CPS). Moreover, a uniform knowledge representation of physical resources is quite necessary for further composition, collaboration, and decision-making process in CPS. Though several efforts have integrated semantics with WoT, such as knowledge engineering methods based on semantic sensor networks (SSN), it still could not represent the complex relationships between devices when dynamic composition and collaboration occur, and it totally depends on manual construction of a knowledge base with low scalability. In this paper, to addresses these limitations, we propose the semantic Web of Things (SWoT) framework for CPS (SWoT4CPS). SWoT4CPS provides a hybrid solution with both ontological engineering methods by extending SSN and machine learning methods based on an entity linking (EL) model. To testify to the feasibility and performance, we demonstrate the framework by implementing a temperature anomaly diagnosis and automatic control use case in a building automation system. Evaluation results on the EL method show that linking domain knowledge to DBpedia has a relative high accuracy and the time complexity is at a tolerant level. Advantages and disadvantages of SWoT4CPS with future work are also discussed. PMID:28230725

The Wisconsin Network for Health Research (WiNHR): a statewide, collaborative, multi-disciplinary, research group.

PubMed

Bailey, Howard; Agger, William; Baumgardner, Dennis; Burmester, James K; Cisler, Ron A; Evertsen, Jennifer; Glurich, Ingrid; Hartman, David; Yale, Steven H; DeMets, David

2009-12-01

In response to the goals of the Wisconsin Partnership Program and the National Institutes of Health (NIH) Initiatives to Improve Healthcare, the Wisconsin Network for Health Research (WiNHR) was formed. As a collaborative, multi-disciplinary statewide research network, WiNHR encourages and fosters the discovery and application of scientific knowledge for researchers and practitioners throughout Wisconsin. The 4 founding institutions--Aurora Health Care/Center for Urban Population Health (CUPH), Gundersen Lutheran Medical Foundation, Marshfield Clinic Research Foundation, and the University of Wisconsin-Madison--representing geographically diverse areas of the state, are optimistic and committed to WiNHR's success. This optimism is based on the relevance of its goals to public health, the quality of statewide health care research, and, most importantly, the residents of Wisconsin who recognize the value of health research.

The Wisconsin Network for Health Research (WiNHR): A Statewide, Collaborative, Multi-disciplinary, Research Group

PubMed Central

Bailey, Howard; Agger, William; Baumgardner, Dennis; Burmester, James K.; Cisler, Ron A.; Evertsen, Jennifer; Glurich, Ingrid; Hartman, David; Yale, Steven H.; DeMets, David

2010-01-01

In response to the goals of the Wisconsin Partnership Program and the National Institutes of Health (NIH) Initiatives to Improve Healthcare, the Wisconsin Network for Health Research (WiNHR) was formed. As a collaborative, multi-disciplinary statewide research network, WiNHR encourages and fosters the discovery and application of scientific knowledge for researchers and practitioners throughout Wisconsin. The 4 founding institutions—Aurora Health Care/Center for Urban Population Health (CUPH), Gundersen Lutheran Medical Foundation, Marshfield Clinic Research Foundation, and the University of Wisconsin-Madison—representing geographically diverse areas of the state, are optimistic and committed to WiNHR’s success. This optimism is based on the relevance of its goals to public health, the quality of statewide health care research, and, most importantly, the residents of Wisconsin who recognize the value of health research. PMID:20131687

The Relation of Learners' Motivation with the Process of Collaborative Scientific Discovery Learning

ERIC Educational Resources Information Center

Saab, Nadira; van Joolingen, Wouter R.; van Hout-Wolters, B. H. A. M.

2009-01-01

In this study, we investigated the influence of individual learners' motivation on the collaborative discovery learning process. In this we distinguished the motivation of the individual learners and had eye for the composition of groups, which could be homogeneous or heterogeneous in terms of motivation. The study involved 73 dyads of 10th-grade…

Designing and Developing a NASA Research Projects Knowledge Base and Implementing Knowledge Management and Discovery Techniques

NASA Astrophysics Data System (ADS)

Dabiru, L.; O'Hara, C. G.; Shaw, D.; Katragadda, S.; Anderson, D.; Kim, S.; Shrestha, B.; Aanstoos, J.; Frisbie, T.; Policelli, F.; Keblawi, N.

2006-12-01

The Research Project Knowledge Base (RPKB) is currently being designed and will be implemented in a manner that is fully compatible and interoperable with enterprise architecture tools developed to support NASA's Applied Sciences Program. Through user needs assessment, collaboration with Stennis Space Center, Goddard Space Flight Center, and NASA's DEVELOP Staff personnel insight to information needs for the RPKB were gathered from across NASA scientific communities of practice. To enable efficient, consistent, standard, structured, and managed data entry and research results compilation a prototype RPKB has been designed and fully integrated with the existing NASA Earth Science Systems Components database. The RPKB will compile research project and keyword information of relevance to the six major science focus areas, 12 national applications, and the Global Change Master Directory (GCMD). The RPKB will include information about projects awarded from NASA research solicitations, project investigator information, research publications, NASA data products employed, and model or decision support tools used or developed as well as new data product information. The RPKB will be developed in a multi-tier architecture that will include a SQL Server relational database backend, middleware, and front end client interfaces for data entry. The purpose of this project is to intelligently harvest the results of research sponsored by the NASA Applied Sciences Program and related research program results. We present various approaches for a wide spectrum of knowledge discovery of research results, publications, projects, etc. from the NASA Systems Components database and global information systems and show how this is implemented in SQL Server database. The application of knowledge discovery is useful for intelligent query answering and multiple-layered database construction. Using advanced EA tools such as the Earth Science Architecture Tool (ESAT), RPKB will enable NASA and partner agencies to efficiently identify the significant results for new experiment directions and principle investigators to formulate experiment directions for new proposals.

Collaborative research, knowledge and emergence.

PubMed

Zittoun, Tania; Baucal, Aleksandar; Cornish, Flora; Gillespie, Alex

2007-06-01

We use the notion of emergence to consider the sorts of knowledge that can be produced in a collaborative research project. The notion invites us to see collaborative work as a developmental dynamic system in which various changes constantly occur. Among these we examine two sorts of knowledge that can be produced: scientific knowledge, and collaborative knowledge. We argue that collaborative knowledge can enable researchers to reflectively monitor their collaborative project, so as to encourage its most productive changes. On the basis of examples taken from this special issue, we highlight four modes of producing collaborative knowledge and discuss the possible uses of such knowledge.

Four disruptive strategies for removing drug discovery bottlenecks.

PubMed

Ekins, Sean; Waller, Chris L; Bradley, Mary P; Clark, Alex M; Williams, Antony J

2013-03-01

Drug discovery is shifting focus from industry to outside partners and, in the process, creating new bottlenecks. Technologies like high throughput screening (HTS) have moved to a larger number of academic and institutional laboratories in the USA, with little coordination or consideration of the outputs and creating a translational gap. Although there have been collaborative public-private partnerships in Europe to share pharmaceutical data, the USA has seemingly lagged behind and this may hold it back. Sharing precompetitive data and models may accelerate discovery across the board, while finding the best collaborators, mining social media and mobile approaches to open drug discovery should be evaluated in our efforts to remove drug discovery bottlenecks. We describe four strategies to rectify the current unsustainable situation. Copyright © 2012 Elsevier Ltd. All rights reserved.

Effects of Discovery, Iteration, and Collaboration in Laboratory Courses on Undergraduates' Research Career Intentions Fully Mediated by Student Ownership

ERIC Educational Resources Information Center

Corwin, Lisa A.; Runyon, Christopher R.; Ghanem, Eman; Sandy, Moriah; Clark, Greg; Palmer, Gregory C.; Reichler, Stuart; Rodenbusch, Stacia E.; Dolan, Erin L.

2018-01-01

Course-based undergraduate research experiences (CUREs) provide a promising avenue to attract a larger and more diverse group of students into research careers. CUREs are thought to be distinctive in offering students opportunities to make discoveries, collaborate, engage in iterative work, and develop a sense of ownership of their lab course…

Biochemical mechanisms of cisplatin cytotoxicity.

PubMed

Cepeda, Victoria; Fuertes, Miguel A; Castilla, Josefina; Alonso, Carlos; Quevedo, Celia; Pérez, Jose M

2007-01-01

Since the discovery by Rosenberg and collaborators of the antitumor activity of cisplatin 35 years ago, three platinum antitumor drugs (cisplatin, carboplatin and oxaliplatin) have enjoyed a huge clinical and commercial hit. Ever since the initial discovery of the anticancer activity of cisplatin, major efforts have been devoted to elucidate the biochemical mechanisms of antitumor activity of cisplatin in order to be able to rationally design novel platinum based drugs with superior pharmacological profiles. In this report we attempt to provide a current picture of the known facts pertaining to the mechanism of action of the drug, including those involved in drug uptake, DNA damage signals transduction, and cell death through apoptosis or necrosis. A deep knowledge of the biochemical mechanisms, which are triggered in the tumor cell in response to cisplatin injury not only may lead to the design of more efficient platinum antitumor drugs but also may provide new therapeutic strategies based on the biochemical modulation of cisplatin activity.

Strategies for bringing drug delivery tools into discovery.

PubMed

Kwong, Elizabeth; Higgins, John; Templeton, Allen C

2011-06-30

The past decade has yielded a significant body of literature discussing approaches for development and discovery collaboration in the pharmaceutical industry. As a result, collaborations between discovery groups and development scientists have increased considerably. The productivity of pharma companies to deliver new drugs to the market, however, has not increased and development costs continue to rise. Inability to predict clinical and toxicological response underlies the high attrition rate of leads at every step of drug development. A partial solution to this high attrition rate could be provided by better preclinical pharmacokinetics measurements that inform PD response based on key pathways that drive disease progression and therapeutic response. A critical link between these key pharmacology, pharmacokinetics and toxicology studies is the formulation. The challenges in pre-clinical formulation development include limited availability of compounds, rapid turn-around requirements and the frequent un-optimized physical properties of the lead compounds. Despite these challenges, this paper illustrates some successes resulting from close collaboration between formulation scientists and discovery teams. This close collaboration has resulted in development of formulations that meet biopharmaceutical needs from early stage preclinical in vivo model development through toxicity testing and development risk assessment of pre-clinical drug candidates. Published by Elsevier B.V.

The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience

PubMed Central

Poldrack, Russell A.; Kittur, Aniket; Kalar, Donald; Miller, Eric; Seppa, Christian; Gil, Yolanda; Parker, D. Stott; Sabb, Fred W.; Bilder, Robert M.

2011-01-01

Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what “mental processes” exist and how they relate to the tasks that are used to manipulate and measure them. This topic has been addressed informally in prior work, but we propose that cumulative progress in cognitive neuroscience requires a more systematic approach to representing the mental entities that are being mapped to brain function and the tasks used to manipulate and measure mental processes. We describe a new open collaborative project that aims to provide a knowledge base for cognitive neuroscience, called the Cognitive Atlas (accessible online at http://www.cognitiveatlas.org), and outline how this project has the potential to drive novel discoveries about both mind and brain. PMID:21922006

CIOC_ISON: Pro-Am Collaboration for Support of NASA Comet ISON Observing Campaign (CIOC) via Social Media

NASA Astrophysics Data System (ADS)

Yanamandra-Fisher, Padma A.; ISON, CIOC; CIOC, NASA

2013-10-01

From the initial discovery of C/2012 S1 (ISON) by Russian amateur astronomers in September 2012 to present day, amateur astronomers provide valuable resources of global coverage, data and legacy knowledge to the professional community. C/ISON promises to be the rare and brightest of comets if predictions of its evolution are correct. NASA has requested a small group of cometary scientists to facilitate, support and coordinate the observations of this potential bright comet. The Comet ISON Observing Campaign (CIOC) goals (www.isoncampaign.org) are: (i) a detailed characterization of a subset of comets (sun grazers) that are usually difficult to identify and study in the few hours before their demise; and (ii) facilitate collaborations between various investigators for the best science possible. One of the tangible products is the creation of CIOC_ISON, a professional - amateur astronomer collaboration network established on Facebook, with members from the scientific, amateur, science outreach/education, public from around the globe (www.facebook.com/groups/482774205113931/). Members, by invitation or request, provide the details of their equipment, location and observations and post their observations to both share and provide a forum for interactive discussions. Guidelines for observations and their logs are provided and updated as deemed necessary by the scientists for useful data. The long lead time between initial discovery of C/ISON in September 2012 and its perihelion in November 2013 provides a rare opportunity for the scientific and amateur astronomer communities to study a sungrazer comet on its initial (and possibly) only passage through the inner solar system. These collaborations, once an occasional connection, are now becoming essential and necessary, changing the paradigm of research. Unlike Citizen Science, these interactive and collaborative activities are the equivalent of Inverse Citizen Science, with the scientific community relying on the amateur astronomer community and its data to develop research strategy for observations and an outreach bridge to the public.

Databases and Web Tools for Cancer Genomics Study

PubMed Central

Yang, Yadong; Dong, Xunong; Xie, Bingbing; Ding, Nan; Chen, Juan; Li, Yongjun; Zhang, Qian; Qu, Hongzhu; Fang, Xiangdong

2015-01-01

Publicly-accessible resources have promoted the advance of scientific discovery. The era of genomics and big data has brought the need for collaboration and data sharing in order to make effective use of this new knowledge. Here, we describe the web resources for cancer genomics research and rate them on the basis of the diversity of cancer types, sample size, omics data comprehensiveness, and user experience. The resources reviewed include data repository and analysis tools; and we hope such introduction will promote the awareness and facilitate the usage of these resources in the cancer research community. PMID:25707591

Scientific Cooperation Between the U.S. and the Republic of South Africa Funds 7 Cancer-Specific Pro

Cancer.gov

The NIH has recently awarded its first round of grants in a parallel U.S.-South Africa funding opportunity. Initiatives funded through this program will advance biomedical research for tuberculosis and HIV/AIDS in not only the US and South Africa, but will contribute to the global wealth of knowledge of these diseases. The scope of this initiative includes HIV/AIDS co-morbidities, and resulting malignancies. This opportunity was further targeted at expanding basic, translational, behavioral and applied research that will stimulate scientific discovery, and engage U.S. and South African researcher collaboration.

Fragment-based hit identification: thinking in 3D.

PubMed

Morley, Andrew D; Pugliese, Angelo; Birchall, Kristian; Bower, Justin; Brennan, Paul; Brown, Nathan; Chapman, Tim; Drysdale, Martin; Gilbert, Ian H; Hoelder, Swen; Jordan, Allan; Ley, Steven V; Merritt, Andy; Miller, David; Swarbrick, Martin E; Wyatt, Paul G

2013-12-01

The identification of high-quality hits during the early phases of drug discovery is essential if projects are to have a realistic chance of progressing into clinical development and delivering marketed drugs. As the pharmaceutical industry goes through unprecedented change, there are increasing opportunities to collaborate via pre-competitive networks to marshal multifunctional resources and knowledge to drive impactful, innovative science. The 3D Fragment Consortium is developing fragment-screening libraries with enhanced 3D characteristics and evaluating their effect on the quality of fragment-based hit identification (FBHI) projects. Copyright © 2013 Elsevier Ltd. All rights reserved.

Calling on a million minds for community annotation in WikiProteins

PubMed Central

Mons, Barend; Ashburner, Michael; Chichester, Christine; van Mulligen, Erik; Weeber, Marc; den Dunnen, Johan; van Ommen, Gert-Jan; Musen, Mark; Cockerill, Matthew; Hermjakob, Henning; Mons, Albert; Packer, Abel; Pacheco, Roberto; Lewis, Suzanna; Berkeley, Alfred; Melton, William; Barris, Nickolas; Wales, Jimmy; Meijssen, Gerard; Moeller, Erik; Roes, Peter Jan; Borner, Katy; Bairoch, Amos

2008-01-01

WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at . PMID:18507872

The importance of international collaboration for rare diseases research: a European perspective

PubMed Central

Julkowska, D; Austin, C P; Cutillo, C M; Gancberg, D; Hager, C; Halftermeyer, J; Jonker, A H; Lau, L P L; Norstedt, I; Rath, A; Schuster, R; Simelyte, E; van Weely, S

2017-01-01

Over the last two decades, important contributions were made at national, European and international levels to foster collaboration into rare diseases research. The European Union (EU) has put much effort into funding rare diseases research, encouraging national funding organizations to collaborate together in the E-Rare program, setting up European Reference Networks for rare diseases and complex conditions, and initiating the International Rare Diseases Research Consortium (IRDiRC) together with the National Institutes of Health in the USA. Co-ordination of the activities of funding agencies, academic researchers, companies, regulatory bodies, and patient advocacy organizations and partnerships with, for example, the European Research Infrastructures maximizes the collective impact of global investments in rare diseases research. This contributes to accelerating progress, for example, in faster diagnosis through enhanced discovery of causative genes, better understanding of natural history of rare diseases through creation of common registries and databases and boosting of innovative therapeutic approaches. Several examples of funded pre-clinical and clinical gene therapy projects show that integration of multinational and multidisciplinary expertize generates new knowledge and can result in multicentre gene therapy trials. International collaboration in rare diseases research is key to improve the life of people living with a rare disease. PMID:28440796

The importance of international collaboration for rare diseases research: a European perspective.

PubMed

Julkowska, D; Austin, C P; Cutillo, C M; Gancberg, D; Hager, C; Halftermeyer, J; Jonker, A H; Lau, L P L; Norstedt, I; Rath, A; Schuster, R; Simelyte, E; van Weely, S

2017-09-01

Over the last two decades, important contributions were made at national, European and international levels to foster collaboration into rare diseases research. The European Union (EU) has put much effort into funding rare diseases research, encouraging national funding organizations to collaborate together in the E-Rare program, setting up European Reference Networks for rare diseases and complex conditions, and initiating the International Rare Diseases Research Consortium (IRDiRC) together with the National Institutes of Health in the USA. Co-ordination of the activities of funding agencies, academic researchers, companies, regulatory bodies, and patient advocacy organizations and partnerships with, for example, the European Research Infrastructures maximizes the collective impact of global investments in rare diseases research. This contributes to accelerating progress, for example, in faster diagnosis through enhanced discovery of causative genes, better understanding of natural history of rare diseases through creation of common registries and databases and boosting of innovative therapeutic approaches. Several examples of funded pre-clinical and clinical gene therapy projects show that integration of multinational and multidisciplinary expertize generates new knowledge and can result in multicentre gene therapy trials. International collaboration in rare diseases research is key to improve the life of people living with a rare disease.

Global Health Innovation Technology Models.

PubMed

Harding, Kimberly

2016-01-01

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

Global Health Innovation Technology Models

PubMed Central

Harding, Kimberly

2016-01-01

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

Steroids and the scientist.

PubMed

Gustafsson, Jan-Ake

2005-06-01

Our interest in nuclear receptors (NRs) originated from early studies on hepatic steroid metabolism. We discovered a new hypothalamo-pituitary-liver axis, imprinted neonatally by androgens and operating through sexually differentiated GH secretory patterns. Male and female patterns have opposite effects on sexually differentiated hepatic genes, explaining sexually dimorphic liver patterns. To further understand steroid action, we purified the glucocorticoid receptor (GR) leading to our discovery of the NR three-domain structure, with separable DNA binding domain and ligand binding domains and a third domain now known to have transcriptional regulatory properties. Knowledge of this domain structure has been immensely important for deciphering NR actions. Using this first purified NR, we collaborated with Keith Yamamoto and first demonstrated specific NR binding to DNA. This also was the first demonstration of a mammalian transcription factor, a breakthrough that led to discovery of NR response elements. In further collaboration with Yamamoto, we cloned the first NR cDNA sequences, leading to cloning of the superfamily of NR genes. With Yamamoto and Kaptein, we determined the first three-dimensional NR structure, that of DNA binding domain. Later work on orphan receptors resulted in the first discovery of: 1) endogenous ligands for an orphan receptor (fatty acids as activators of peroxisomal proliferator-activated receptor alpha); 2) liver X receptor beta (OR-1) and its role in central nervous system cholesterol homeostasis; and 3) estrogen receptor beta, leading to a paradigm shift in understanding of estrogen signaling, of importance in endocrinology, immunology, and oncology and to development of estrogen receptor beta agonists for treatment of autoimmune diseases, prostate disease, depression, and ovulatory dysfunction.

Semantic Service Design for Collaborative Business Processes in Internetworked Enterprises

NASA Astrophysics Data System (ADS)

Bianchini, Devis; Cappiello, Cinzia; de Antonellis, Valeria; Pernici, Barbara

Modern collaborating enterprises can be seen as borderless organizations whose processes are dynamically transformed and integrated with the ones of their partners (Internetworked Enterprises, IE), thus enabling the design of collaborative business processes. The adoption of Semantic Web and service-oriented technologies for implementing collaboration in such distributed and heterogeneous environments promises significant benefits. IE can model their own processes independently by using the Software as a Service paradigm (SaaS). Each enterprise maintains a catalog of available services and these can be shared across IE and reused to build up complex collaborative processes. Moreover, each enterprise can adopt its own terminology and concepts to describe business processes and component services. This brings requirements to manage semantic heterogeneity in process descriptions which are distributed across different enterprise systems. To enable effective service-based collaboration, IEs have to standardize their process descriptions and model them through component services using the same approach and principles. For enabling collaborative business processes across IE, services should be designed following an homogeneous approach, possibly maintaining a uniform level of granularity. In the paper we propose an ontology-based semantic modeling approach apt to enrich and reconcile semantics of process descriptions to facilitate process knowledge management and to enable semantic service design (by discovery, reuse and integration of process elements/constructs). The approach brings together Semantic Web technologies, techniques in process modeling, ontology building and semantic matching in order to provide a comprehensive semantic modeling framework.

Knowledge Discovery from Databases: An Introductory Review.

ERIC Educational Resources Information Center

Vickery, Brian

1997-01-01

Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…

Advances in Risk Classification and Treatment Strategies for Neuroblastoma

PubMed Central

Pinto, Navin R.; Applebaum, Mark A.; Volchenboum, Samuel L.; Matthay, Katherine K.; London, Wendy B.; Ambros, Peter F.; Nakagawara, Akira; Berthold, Frank; Schleiermacher, Gudrun; Park, Julie R.; Valteau-Couanet, Dominique; Pearson, Andrew D.J.

2015-01-01

Risk-based treatment approaches for neuroblastoma have been ongoing for decades. However, the criteria used to define risk in various institutional and cooperative groups were disparate, limiting the ability to compare clinical trial results. To mitigate this problem and enhance collaborative research, homogenous pretreatment patient cohorts have been defined by the International Neuroblastoma Risk Group classification system. During the past 30 years, increasingly intensive, multimodality approaches have been developed to treat patients who are classified as high risk, whereas patients with low- or intermediate-risk neuroblastoma have received reduced therapy. This treatment approach has resulted in improved outcome, although survival for high-risk patients remains poor, emphasizing the need for more effective treatments. Increased knowledge regarding the biology and genetic basis of neuroblastoma has led to the discovery of druggable targets and promising, new therapeutic approaches. Collaborative efforts of institutions and international cooperative groups have led to advances in our understanding of neuroblastoma biology, refinements in risk classification, and stratified treatment strategies, resulting in improved outcome. International collaboration will be even more critical when evaluating therapies designed to treat small cohorts of patients with rare actionable mutations. PMID:26304901

Classroom Journal Club: Collaborative Study of Contemporary Primary Literature in the Biomechanics Classroom.

PubMed

Kuxhaus, Laurel; Corbiere, Nicole C

2016-07-01

Current engineering pedagogy primarily focuses on developing technical proficiency and problem solving skills; the peer-review process for sharing new research results is often overlooked. The use of a collaborative classroom journal club can engage students with the excitement of scientific discovery and the process of dissemination of research results, which are also important lifelong learning skills. In this work, a classroom journal club was implemented and a survey of student perceptions spanning three student cohorts was collected. In this collaborative learning activity, students regularly chose and discussed a recent biomechanics journal article, and were assessed based on specific, individual preparation tasks. Most student-chosen journal articles were relevant to topics discussed in the regular class lecture. Surveys assessed student perceptions of the activity. The survey responses show that, across all cohorts, students both enjoyed the classroom journal club and recognized it as an important learning experience. Many reported discussing their journal articles with others outside of the classroom, indicating good engagement. The results demonstrate that student engagement with primary literature can foster both technical knowledge and lifelong learning skills.

The discovery of HTLV-1, the first pathogenic human retrovirus.

PubMed

Coffin, John M

2015-12-22

After the discovery of retroviral reverse transcriptase in 1970, there was a flurry of activity, sparked by the "War on Cancer," to identify human cancer retroviruses. After many false claims resulting from various artifacts, most scientists abandoned the search, but the Gallo laboratory carried on, developing both specific assays and new cell culture methods that enabled them to report, in the accompanying 1980 PNAS paper, identification and partial characterization of human T-cell leukemia virus (HTLV; now known as HTLV-1) produced by a T-cell line from a lymphoma patient. Follow-up studies, including collaboration with the group that first identified a cluster of adult T-cell leukemia (ATL) cases in Japan, provided conclusive evidence that HTLV was the cause of this disease. HTLV-1 is now known to infect at least 4-10 million people worldwide, about 5% of whom will develop ATL. Despite intensive research, knowledge of the viral etiology has not led to improvement in treatment or outcome of ATL. However, the technology for discovery of HTLV and acknowledgment of the existence of pathogenic human retroviruses laid the technical and intellectual foundation for the discovery of the cause of AIDS soon afterward. Without this advance, our ability to diagnose and treat HIV infection most likely would have been long delayed.

Science discovery in clinician-economist collaboration: legacy and future challenges.

PubMed

Wells, Kenneth B

2002-06-01

2002 Carl Taube Lecture at the NIMH Mental Health Economics Meeting. To analyze the contribution and process of clinician/economist collaboration. Personal scientific autobiography, using relationships with three economists as case examples. In joint efforts by clinicians and economists, clinicians bring an interest in case examples and in responding to unmet need, while economists bring structured analysis methods and respect for a societal perspective. Through mutual respect and discovery, both clinicians and economists can define unmet need in clinical and economic terms and help develop models and programs to improve clinical care, while maintaining a societal evaluation perspective. Key to scientific discovery is the principle that the emotions generated by data, such as hope and despair, need to be acknowledged and utilized rather than avoided or buried, provided that such feelings are used in a balanced manner in research. According to the author, collaboration helps maintain such a balance. Collaboration requires and builds trust, and improves the depth of research by combining different personal and disciplinary perspectives and strengths. Young investigators should be encouraged to explore collaboration and to consider their feelings in response to health and economic data as an important scientific and creative resource.

The IS-GEO RCN: Fostering Collaborations for Intelligent Systems Research to Support Geosciences

NASA Astrophysics Data System (ADS)

Gil, Y.; Pierce, S. A.

2016-12-01

Geoscience problems are complex and often involve data that changes across space and time. Frequently geoscience knowledge and understanding provides valuable information and insight for problems related to energy, water, climate, mineral resources, and our understanding of how the Earth evolves through time. Simultaneously, many grand challenges in the geosciences cannot be addressed without the aid of computational support and innovations. Intelligent and Information Systems (IS) research includes a broad range of computational methods and topics such as knowledge representation, information integration, machine learning, robotics, adaptive sensors, and intelligent interfaces. IS research has a very important role to play in accelerating the speed of scientific discovery in geosciences and thus in solving challenges in geosciences. Many aspects of geosciences (GEO) research pose novel open problems for intelligent systems researchers. To develop intelligent systems with sound knowledge of theory and practice, it is important that GEO and IS experts collaborate. The EarthCube Research Coordination Network for Intelligent Systems for Geosciences (IS-GEO RCN) represents an emerging community of interdisciplinary researchers producing fundamental new capabilities for understanding Earth systems. Furthermore, the educational component aims to identify new approaches to teaching students in this new interdisciplinary area, seeking to raise a new generation of scientists that are better able to apply IS methods and tools to geoscience challenges of the future. By providing avenues for IS and GEO researchers to work together, the IS-GEO RCN will serve as both a point of contact, as well as an avenue for educational outreach across the disciplines for the nascent community of research and practice. The initial efforts are focused on connecting the communities in ways that help researchers understand opportunities and challenges that can benefit from IS-GEO collaborations. The IS-GEO RCN will jumpstart interdisciplinary research collaborations in this emerging new area so that progress across both disciplines can be accelerated.

A Decade of Genetic and Metabolomic Contributions to Type 2 Diabetes Risk Prediction

PubMed Central

Merino, Jordi; Leong, Aaron; Meigs, James B.

2018-01-01

Purpose of Review The purpose of this review was to summarize and reflect on advances over the past decade in human genetic and metabolomic discovery with particular focus on their contributions to type 2 diabetes (T2D) risk prediction. Recent Findings In the past 10 years, a combination of advances in genotyping efficiency, metabolomic profiling, bio-informatics approaches, and international collaboration have moved T2D genetics and metabolomics from a state of frustration to an abundance of new knowledge. Summary Efforts to control and prevent T2D have failed to stop this global epidemic. New approaches are needed, and although neither genetic nor metabolomic profiling yet have a clear clinical role, the rapid pace of accumulating knowledge offers the possibility for “multi-omic” prediction to improve health. PMID:29103096

Using the iPlant collaborative discovery environment.

PubMed

Oliver, Shannon L; Lenards, Andrew J; Barthelson, Roger A; Merchant, Nirav; McKay, Sheldon J

2013-06-01

The iPlant Collaborative is an academic consortium whose mission is to develop an informatics and social infrastructure to address the "grand challenges" in plant biology. Its cyberinfrastructure supports the computational needs of the research community and facilitates solving major challenges in plant science. The Discovery Environment provides a powerful and rich graphical interface to the iPlant Collaborative cyberinfrastructure by creating an accessible virtual workbench that enables all levels of expertise, ranging from students to traditional biology researchers and computational experts, to explore, analyze, and share their data. By providing access to iPlant's robust data-management system and high-performance computing resources, the Discovery Environment also creates a unified space in which researchers can access scalable tools. Researchers can use available Applications (Apps) to execute analyses on their data, as well as customize or integrate their own tools to better meet the specific needs of their research. These Apps can also be used in workflows that automate more complicated analyses. This module describes how to use the main features of the Discovery Environment, using bioinformatics workflows for high-throughput sequence data as examples. © 2013 by John Wiley & Sons, Inc.

KnowEnG: a knowledge engine for genomics.

PubMed

Sinha, Saurabh; Song, Jun; Weinshilboum, Richard; Jongeneel, Victor; Han, Jiawei

2015-11-01

We describe here the vision, motivations, and research plans of the National Institutes of Health Center for Excellence in Big Data Computing at the University of Illinois, Urbana-Champaign. The Center is organized around the construction of "Knowledge Engine for Genomics" (KnowEnG), an E-science framework for genomics where biomedical scientists will have access to powerful methods of data mining, network mining, and machine learning to extract knowledge out of genomics data. The scientist will come to KnowEnG with their own data sets in the form of spreadsheets and ask KnowEnG to analyze those data sets in the light of a massive knowledge base of community data sets called the "Knowledge Network" that will be at the heart of the system. The Center is undertaking discovery projects aimed at testing the utility of KnowEnG for transforming big data to knowledge. These projects span a broad range of biological enquiry, from pharmacogenomics (in collaboration with Mayo Clinic) to transcriptomics of human behavior. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Computational chemistry at Janssen

NASA Astrophysics Data System (ADS)

van Vlijmen, Herman; Desjarlais, Renee L.; Mirzadegan, Tara

2017-03-01

Computer-aided drug discovery activities at Janssen are carried out by scientists in the Computational Chemistry group of the Discovery Sciences organization. This perspective gives an overview of the organizational and operational structure, the science, internal and external collaborations, and the impact of the group on Drug Discovery at Janssen.

Environmental Regulation of Yersinia Pathophysiology

PubMed Central

Chen, Shiyun; Thompson, Karl M.; Francis, Matthew S.

2016-01-01

Hallmarks of Yersinia pathogenesis include the ability to form biofilms on surfaces, the ability to establish close contact with eukaryotic target cells and the ability to hijack eukaryotic cell signaling and take over control of strategic cellular processes. Many of these virulence traits are already well-described. However, of equal importance is knowledge of both confined and global regulatory networks that collaborate together to dictate spatial and temporal control of virulence gene expression. This review has the purpose to incorporate historical observations with new discoveries to provide molecular insight into how some of these regulatory mechanisms respond rapidly to environmental flux to govern tight control of virulence gene expression by pathogenic Yersinia. PMID:26973818

The iPlant collaborative: cyberinfrastructure for enabling data to discovery for the life sciences

USDA-ARS?s Scientific Manuscript database

The iPlant Collaborative provides life science research communities access to comprehensive, scalable, and cohesive computational infrastructure for data management; identify management; collaboration tools; and cloud, high-performance, high-throughput computing. iPlant provides training, learning m...

Bigger data, collaborative tools and the future of predictive drug discovery

NASA Astrophysics Data System (ADS)

Ekins, Sean; Clark, Alex M.; Swamidass, S. Joshua; Litterman, Nadia; Williams, Antony J.

2014-10-01

Over the past decade we have seen a growth in the provision of chemistry data and cheminformatics tools as either free websites or software as a service commercial offerings. These have transformed how we find molecule-related data and use such tools in our research. There have also been efforts to improve collaboration between researchers either openly or through secure transactions using commercial tools. A major challenge in the future will be how such databases and software approaches handle larger amounts of data as it accumulates from high throughput screening and enables the user to draw insights, enable predictions and move projects forward. We now discuss how information from some drug discovery datasets can be made more accessible and how privacy of data should not overwhelm the desire to share it at an appropriate time with collaborators. We also discuss additional software tools that could be made available and provide our thoughts on the future of predictive drug discovery in this age of big data. We use some examples from our own research on neglected diseases, collaborations, mobile apps and algorithm development to illustrate these ideas.

Information Fusion for Natural and Man-Made Disasters

DTIC Science & Technology

2007-01-31

comprehensively large, and metaphysically accurate model of situations, through which specific tasks such as situation assessment, knowledge discovery , or the...significance” is always context specific. Event discovery is a very important element of the HLF process, which can lead to knowledge discovery about...expected, given the current state of knowledge . Examples of such behavior may include discovery of a new aggregate or situation, a specific pattern of

A Typology of Knowledge Collaboration: A Case Study of an Initiative to Accelerate the Internationalization of Finnish Cleantech Entrepreneurship

ERIC Educational Resources Information Center

Vauterin, Johanna Julia; Virkki-Hatakka, Terhi

2016-01-01

A critical understanding of how knowledge collaboration may work in various configurations is a prerequisite in shedding light on how effective knowledge collaboration affects opportunities for business growth. This article presents a case analysis of a knowledge collaboration initiative between a university and other knowledge organizations. The…

The EGS Data Collaboration Platform: Enabling Scientific Discovery

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

Weers, Jonathan D; Johnston, Henry; Huggins, Jay V

Collaboration in the digital age has been stifled in recent years. Reasonable responses to legitimate security concerns have created a virtual landscape of silos and fortified castles incapable of sharing information efficiently. This trend is unfortunately opposed to the geothermal scientific community's migration toward larger, more collaborative projects. To facilitate efficient sharing of information between team members from multiple national labs, universities, and private organizations, the 'EGS Collab' team has developed a universally accessible, secure data collaboration platform and has fully integrated it with the U.S. Department of Energy's (DOE) Geothermal Data Repository (GDR) and the National Geothermal Data Systemmore » (NGDS). This paper will explore some of the challenges of collaboration in the modern digital age, highlight strategies for active data management, and discuss the integration of the EGS Collab data management platform with the GDR to enable scientific discovery through the timely dissemination of information.« less

Sharing the Wonder of Gravitational Waves

NASA Astrophysics Data System (ADS)

Key, Joey Shapiro; LIGO Scientific Collaboration; Virgo Collaboration

2017-01-01

To share as widely as possible the excitement of the new discovery of gravitational waves, scientists in the LIGO Scientific Collaboration (LSC) and Virgo Collaboration prepared communication tools for a worldwide and diverse audience. This work included resources for traditional and social media outlets, preparing to engage at a wide range of levels and interests. The response to the LIGO discovery announcement indicated that the public is eager to engage with frontier physics. The LSC and Virgo outreach efforts hold lessons for broad STEM outreach including examples of citizen science initiatives and art +science collaboration as a way to inspire and engage a wide range of audiences.

Self Assessment and Discovery Learning

ERIC Educational Resources Information Center

McDonald, Betty

2011-01-01

Discovery learning in higher education has been reported to be effective in assisting learners to understand difficult concepts and retain long term information. This paper seeks to illustrate how one self assessment model may be used to demonstrate discovery learning in a collaborative atmosphere of students sharing and getting to know each…

eClims: An Extensible and Dynamic Integration Framework for Biomedical Information Systems.

PubMed

Savonnet, Marinette; Leclercq, Eric; Naubourg, Pierre

2016-11-01

Biomedical information systems (BIS) require consideration of three types of variability: data variability induced by new high throughput technologies, schema or model variability induced by large scale studies or new fields of research, and knowledge variability resulting from new discoveries. Beyond data heterogeneity, managing variabilities in the context of BIS requires extensible and dynamic integration process. In this paper, we focus on data and schema variabilities and we propose an integration framework based on ontologies, master data, and semantic annotations. The framework addresses issues related to: 1) collaborative work through a dynamic integration process; 2) variability among studies using an annotation mechanism; and 3) quality control over data and semantic annotations. Our approach relies on two levels of knowledge: BIS-related knowledge is modeled using an application ontology coupled with UML models that allow controlling data completeness and consistency, and domain knowledge is described by a domain ontology, which ensures data coherence. A system build with the eClims framework has been implemented and evaluated in the context of a proteomic platform.

NATURAL PRODUCTS: A CONTINUING SOURCE OF NOVEL DRUG LEADS

PubMed Central

Cragg, Gordon M.; Newman, David J.

2013-01-01

1. Background Nature has been a source of medicinal products for millennia, with many useful drugs developed from plant sources. Following discovery of the penicillins, drug discovery from microbial sources occurred and diving techniques in the 1970s opened the seas. Combinatorial chemistry (late 1980s), shifted the focus of drug discovery efforts from Nature to the laboratory bench. 2. Scope of Review This review traces natural products drug discovery, outlining important drugs from natural sources that revolutionized treatment of serious diseases. It is clear Nature will continue to be a major source of new structural leads, and effective drug development depends on multidisciplinary collaborations. 3. Major Conclusions The explosion of genetic information led not only to novel screens, but the genetic techniques permitted the implementation of combinatorial biosynthetic technology and genome mining. The knowledge gained has allowed unknown molecules to be identified. These novel bioactive structures can be optimized by using combinatorial chemistry generating new drug candidates for many diseases. 4 General Significance: The advent of genetic techniques that permitted the isolation / expression of biosynthetic cassettes from microbes may well be the new frontier for natural products lead discovery. It is now apparent that biodiversity may be much greater in those organisms. The numbers of potential species involved in the microbial world are many orders of magnitude greater than those of plants and multi-celled animals. Coupling these numbers to the number of currently unexpressed biosynthetic clusters now identified (>10 per species) the potential of microbial diversity remains essentially untapped. PMID:23428572

A New System To Support Knowledge Discovery: Telemakus.

ERIC Educational Resources Information Center

Revere, Debra; Fuller, Sherrilynne S.; Bugni, Paul F.; Martin, George M.

2003-01-01

The Telemakus System builds on the areas of concept representation, schema theory, and information visualization to enhance knowledge discovery from scientific literature. This article describes the underlying theories and an overview of a working implementation designed to enhance the knowledge discovery process through retrieval, visual and…

Students Assessing Their Own Collaborative Knowledge Building

ERIC Educational Resources Information Center

Lee, Eddy Y. C.; Chan, Carol K. K.; van Aalst, Jan

2006-01-01

We describe the design of a knowledge-building environment and examine the role of knowledge-building portfolios in characterizing and scaffolding collaborative inquiry. Our goal is to examine collaborative knowledge building in the context of exploring the alignment of learning, collaboration, and assessment in computer forums. The key design…

The teaching of drug development to medical students: collaboration between the pharmaceutical industry and medical school

PubMed Central

Stanley, A G; Jackson, D; Barnett, D B

2005-01-01

Collaboration between the medical school at Leicester and a local pharmaceutical company, AstraZeneca, led to the design and implementation of an optional third year special science skills module teaching medical students about drug discovery and development. The module includes didactic teaching about the complexities of the drug discovery process leading to development of candidate drugs for clinical investigation as well as practical experience of the processes involved in drug evaluation preclinically and clinically. It highlights the major ethical and regulatory issues concerned with the production and testing of novel therapies in industry and the NHS. In addition it helps to reinforce other areas of the medical school curriculum, particularly the understanding of clinical study design and critical appraisal. The module is assessed on the basis of a written dissertation and the critical appraisal of a drug advertisement. This paper describes the objectives of the module and its content. In addition we outline the results of an initial student evaluation of the module and an assessment of its impact on student knowledge and the opinion of the pharmaceutical industry partner. This module has proven to be popular with medical students, who acquire a greater understanding of the work required for drug development and therefore reflect more favourably on the role of pharmaceutical companies in the UK. PMID:15801942

Knowledge Discovery as an Aid to Organizational Creativity.

ERIC Educational Resources Information Center

Siau, Keng

2000-01-01

This article presents the concept of knowledge discovery, a process of searching for associations in large volumes of computer data, as an aid to creativity. It then discusses the various techniques in knowledge discovery. Mednick's associative theory of creative thought serves as the theoretical foundation for this research. (Contains…

Advances in Knowledge Discovery and Data Mining 21st Pacific Asia Conference, PAKDD 2017 Held in Jeju, South Korea, May 23 26, 2017. Proceedings Part I, Part II.

DTIC Science & Technology

2017-06-27

From - To) 05-27-2017 Final 17-03-2017 - 15-03-2018 4. TITLE AND SUBTITLE Sa. CONTRACT NUMBER FA2386-17-1-0102 Advances in Knowledge Discovery and...Springer; Switzerland. 14. ABSTRACT The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a leading international conference...in the areas of knowledge discovery and data mining (KDD). We had three keynote speeches, delivered by Sang Cha from Seoul National University

Board on Research Data and Information

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

Sztein, A. Ester; Boright, John

2015-08-14

The Board on Research Data and Information (BRDI) has planned and undertaken numerous activities regarding data citation, attribution, management, policy, publishing, centers, access, curation, sharing, and infrastructure; and international collaboration and cooperation. Some of these activities resulted in National Research Council reports (For Attribution: Developing Data Attribution and Citation Practices and Standards (2012), The Case for International Scientific Data Sharing: A Focus on Developing Countries (2012), and The Future of Scientific Knowledge Discovery in Open Networked Environments (2012); and a peer-reviewed paper (Out of Cite, Out of Mind: The Current State of Practice, Policy, and Technology for the Citation ofmore » Data, 2013). BRDI held symposia, workshops and sessions in the U.S. and abroad on diverse topics such as global scientific data infrastructures, discovery of data online, privacy in a big data world, and data citation principles, among other timely data-related subjects. In addition, BRDI effects the representation of the United States before the International Council for Science’s International Committee on Data for Science and Technology (CODATA).« less

Star scientists and institutional transformation: patterns of invention and innovation in the formation of the biotechnology industry.

PubMed

Zucker, L G; Darby, M R

1996-11-12

The most productive ("star") bioscientists had intellectual human capital of extraordinary scientific and pecuniary value for some 10-15 years after Cohen and Boyer's 1973 founding discovery for biotechnology [Cohen, S., Chang, A., Boyer, H. & Helling, R. (1973) Proc. Natl. Acad. Sci. USA 70, 3240-3244]. This extraordinary value was due to the union of still scarce knowledge of the new research techniques and genius and vision to apply them in novel, valuable ways. As in other sciences, star bioscientists were very protective of their techniques, ideas, and discoveries in the early years of the revolution, tending to collaborate more within their own institution, which slowed diffusion to other scientists. Close, bench-level working ties between stars and firm scientists were needed to accomplish commercialization of the breakthroughs. Where and when star scientists were actively producing publications is a key predictor of where and when commercial firms began to use biotechnology. The extent of collaboration by a firm's scientists with stars is a powerful predictor of its success: for an average firm, 5 articles coauthored by an academic star and the firm's scientists result in about 5 more products in development, 3.5 more products on the market, and 860 more employees. Articles by stars collaborating with or employed by firms have significantly higher rates of citation than other articles by the same or other stars. The U.S. scientific and economic infrastructure has been particularly effective in fostering and commercializing the bioscientific revolution. These results let us see the process by which scientific breakthroughs become economic growth and consider implications for policy.

Data Mining Research with the LSST

NASA Astrophysics Data System (ADS)

Borne, Kirk D.; Strauss, M. A.; Tyson, J. A.

2007-12-01

The LSST catalog database will exceed 10 petabytes, comprising several hundred attributes for 5 billion galaxies, 10 billion stars, and over 1 billion variable sources (optical variables, transients, or moving objects), extracted from over 20,000 square degrees of deep imaging in 5 passbands with thorough time domain coverage: 1000 visits over the 10-year LSST survey lifetime. The opportunities are enormous for novel scientific discoveries within this rich time-domain ultra-deep multi-band survey database. Data Mining, Machine Learning, and Knowledge Discovery research opportunities with the LSST are now under study, with a potential for new collaborations to develop to contribute to these investigations. We will describe features of the LSST science database that are amenable to scientific data mining, object classification, outlier identification, anomaly detection, image quality assurance, and survey science validation. We also give some illustrative examples of current scientific data mining research in astronomy, and point out where new research is needed. In particular, the data mining research community will need to address several issues in the coming years as we prepare for the LSST data deluge. The data mining research agenda includes: scalability (at petabytes scales) of existing machine learning and data mining algorithms; development of grid-enabled parallel data mining algorithms; designing a robust system for brokering classifications from the LSST event pipeline (which may produce 10,000 or more event alerts per night); multi-resolution methods for exploration of petascale databases; visual data mining algorithms for visual exploration of the data; indexing of multi-attribute multi-dimensional astronomical databases (beyond RA-Dec spatial indexing) for rapid querying of petabyte databases; and more. Finally, we will identify opportunities for synergistic collaboration between the data mining research group and the LSST Data Management and Science Collaboration teams.

The Future of Dental Schools in Research Universities and Academic Health Centers.

PubMed

McCauley, Laurie K

2017-09-01

As a profession, dentistry is at a point of discernible challenge as well as incredible opportunity in a landscape of evolving changes to health care, higher education, and evidence-based decision making. Respecting the past yet driving forward, a well-mapped future course is critical. Orchestrating this course in a collaborative manner is essential for the visibility, well-being, and potentially the existence of the dental profession. The research performed in dental institutions needs to be contemporary, aligned with biomedical science in general, and united with other disciplines. Dentistry is at risk of attrition in the quality of its research and discovery mission if participation with bioscience colleagues in the collaborative generation of new knowledge is underoptimized. A fundamental opportunity dentistry has is to contribute via its position in academic health centers. Rigorous research as to the impact of interprofessional education and collaborative care on population health outcomes provides significant potential for the dental profession to participate and/or lead such evidence-centered efforts. It is imperative that academic dental institutions are part of interdisciplinary and transdisciplinary organizations that move health care into its new day. Strategizing diversity by bringing together people who have different ways of seeing problems to share perspectives, heuristics, interpretations, technologies, and predictive models across disciplines will lead to impactful progress. Academic dental institutions are a natural part of an emphasis on translational research and acceleration of implementing new scientific discoveries. Dentistry needs to remain an essential and integrated component of higher education in the health professions; doing so necessitates deliberate, respectful, and committed change. This article was written as part of the project "Advancing Dental Education in the 21 st Century."

Collaborative Core Research Program for Chemical-Biological Warfare Defense

DTIC Science & Technology

2015-01-04

Discovery through High Throughput Screening (HTS) and Fragment-Based Drug Design (FBDD...Discovery through High Throughput Screening (HTS) and Fragment-Based Drug Design (FBDD) Current pharmaceutical approaches involving drug discovery...structural analysis and docking program generally known as fragment based drug design (FBDD). The main advantage of using these approaches is that

The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside

PubMed Central

2011-01-01

Background Translational medicine requires the integration of knowledge using heterogeneous data from health care to the life sciences. Here, we describe a collaborative effort to produce a prototype Translational Medicine Knowledge Base (TMKB) capable of answering questions relating to clinical practice and pharmaceutical drug discovery. Results We developed the Translational Medicine Ontology (TMO) as a unifying ontology to integrate chemical, genomic and proteomic data with disease, treatment, and electronic health records. We demonstrate the use of Semantic Web technologies in the integration of patient and biomedical data, and reveal how such a knowledge base can aid physicians in providing tailored patient care and facilitate the recruitment of patients into active clinical trials. Thus, patients, physicians and researchers may explore the knowledge base to better understand therapeutic options, efficacy, and mechanisms of action. Conclusions This work takes an important step in using Semantic Web technologies to facilitate integration of relevant, distributed, external sources and progress towards a computational platform to support personalized medicine. Availability TMO can be downloaded from http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql. PMID:21624155

Convergence of Two Independent Roads Leads to Collaboration between Education and Neuroscience

ERIC Educational Resources Information Center

Koch, Kourtland R.; Timmerman, L.; Peiffer, Ann M.; Laurienti, Paul J.

2013-01-01

Collaboration is the foundation for innovative discoveries, as individuals with different backgrounds come together and combine their unique expertise. In the current article, an educational researcher and two neuroscientists relate their experiences in establishing a successful collaborative effort. The marriage of neuroscientific findings with…

Discovery of naked charm particles and lifetime differences among charm species using nuclear emulsion techniques innovated in Japan

PubMed Central

NIU, Kiyoshi

2008-01-01

This is a historical review of the discovery of naked charm particles and lifetime differences among charm species. These discoveries in the field of cosmic-ray physics were made by the innovation of nuclear emulsion techniques in Japan. A pair of naked charm particles was discovered in 1971 in a cosmic-ray interaction, three years prior to the discovery of the hidden charm particle, J/Ψ, in western countries. Lifetime differences between charged and neutral charm particles were pointed out in 1975, which were later re-confirmed by the collaborative Experiment E531 at Fermilab. Japanese physicists led by K.Niu made essential contributions to it with improved emulsion techniques, complemented by electronic detectors. This review also discusses the discovery of artificially produced naked charm particles by us in an accelerator experiment at Fermilab in 1975 and of multiple-pair productions of charm particles in a single interaction in 1987 by the collaborative Experiment WA75 at CERN. PMID:18941283

Measuring Knowledge Elaboration Based on a Computer-Assisted Knowledge Map Analytical Approach to Collaborative Learning

ERIC Educational Resources Information Center

Zheng, Lanqin; Huang, Ronghuai; Hwang, Gwo-Jen; Yang, Kaicheng

2015-01-01

The purpose of this study is to quantitatively measure the level of knowledge elaboration and explore the relationships between prior knowledge of a group, group performance, and knowledge elaboration in collaborative learning. Two experiments were conducted to investigate the level of knowledge elaboration. The collaborative learning objective in…

Advances in Risk Classification and Treatment Strategies for Neuroblastoma.

PubMed

Pinto, Navin R; Applebaum, Mark A; Volchenboum, Samuel L; Matthay, Katherine K; London, Wendy B; Ambros, Peter F; Nakagawara, Akira; Berthold, Frank; Schleiermacher, Gudrun; Park, Julie R; Valteau-Couanet, Dominique; Pearson, Andrew D J; Cohn, Susan L

2015-09-20

Risk-based treatment approaches for neuroblastoma have been ongoing for decades. However, the criteria used to define risk in various institutional and cooperative groups were disparate, limiting the ability to compare clinical trial results. To mitigate this problem and enhance collaborative research, homogenous pretreatment patient cohorts have been defined by the International Neuroblastoma Risk Group classification system. During the past 30 years, increasingly intensive, multimodality approaches have been developed to treat patients who are classified as high risk, whereas patients with low- or intermediate-risk neuroblastoma have received reduced therapy. This treatment approach has resulted in improved outcome, although survival for high-risk patients remains poor, emphasizing the need for more effective treatments. Increased knowledge regarding the biology and genetic basis of neuroblastoma has led to the discovery of druggable targets and promising, new therapeutic approaches. Collaborative efforts of institutions and international cooperative groups have led to advances in our understanding of neuroblastoma biology, refinements in risk classification, and stratified treatment strategies, resulting in improved outcome. International collaboration will be even more critical when evaluating therapies designed to treat small cohorts of patients with rare actionable mutations. © 2015 by American Society of Clinical Oncology.

Bigger Data, Collaborative Tools and the Future of Predictive Drug Discovery

PubMed Central

Clark, Alex M.; Swamidass, S. Joshua; Litterman, Nadia; Williams, Antony J.

2014-01-01

Over the past decade we have seen a growth in the provision of chemistry data and cheminformatics tools as either free websites or software as a service (SaaS) commercial offerings. These have transformed how we find molecule-related data and use such tools in our research. There have also been efforts to improve collaboration between researchers either openly or through secure transactions using commercial tools. A major challenge in the future will be how such databases and software approaches handle larger amounts of data as it accumulates from high throughput screening and enables the user to draw insights, enable predictions and move projects forward. We now discuss how information from some drug discovery datasets can be made more accessible and how privacy of data should not overwhelm the desire to share it at an appropriate time with collaborators. We also discuss additional software tools that could be made available and provide our thoughts on the future of predictive drug discovery in this age of big data. We use some examples from our own research on neglected diseases, collaborations, mobile apps and algorithm development to illustrate these ideas. PMID:24943138

Collective intelligence for translational medicine: Crowdsourcing insights and innovation from an interdisciplinary biomedical research community.

PubMed

Budge, Eleanor Jane; Tsoti, Sandra Maria; Howgate, Daniel James; Sivakumar, Shivan; Jalali, Morteza

2015-01-01

Translational medicine bridges the gap between discoveries in biomedical science and their safe and effective clinical application. Despite the gross opportunity afforded by modern research for unparalleled advances in this field, the process of translation remains protracted. Efforts to expedite science translation have included the facilitation of interdisciplinary collaboration within both academic and clinical environments in order to generate integrated working platforms fuelling the sharing of knowledge, expertise, and tools to align biomedical research with clinical need. However, barriers to scientific translation remain, and further progress is urgently required. Collective intelligence and crowdsourcing applications offer the potential for global online networks, allowing connection and collaboration between a wide variety of fields. This would drive the alignment of biomedical science with biotechnology, clinical need, and patient experience, in order to deliver evidence-based innovation which can revolutionize medical care worldwide. Here we discuss the critical steps towards implementing collective intelligence in translational medicine using the experience of those in other fields of science and public health.

SemaTyP: a knowledge graph based literature mining method for drug discovery.

PubMed

Sang, Shengtian; Yang, Zhihao; Wang, Lei; Liu, Xiaoxia; Lin, Hongfei; Wang, Jian

2018-05-30

Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely time-consuming and expensive process. Biomedical literature contains important clues for the identification of potential treatments. It could support experts in biomedicine on their way towards new discoveries. Here, we propose a biomedical knowledge graph-based drug discovery method called SemaTyP, which discovers candidate drugs for diseases by mining published biomedical literature. We first construct a biomedical knowledge graph with the relations extracted from biomedical abstracts, then a logistic regression model is trained by learning the semantic types of paths of known drug therapies' existing in the biomedical knowledge graph, finally the learned model is used to discover drug therapies for new diseases. The experimental results show that our method could not only effectively discover new drug therapies for new diseases, but also could provide the potential mechanism of action of the candidate drugs. In this paper we propose a novel knowledge graph based literature mining method for drug discovery. It could be a supplementary method for current drug discovery methods.

Open cyberGIS software for geospatial research and education in the big data era

NASA Astrophysics Data System (ADS)

Wang, Shaowen; Liu, Yan; Padmanabhan, Anand

CyberGIS represents an interdisciplinary field combining advanced cyberinfrastructure, geographic information science and systems (GIS), spatial analysis and modeling, and a number of geospatial domains to improve research productivity and enable scientific breakthroughs. It has emerged as new-generation GIS that enable unprecedented advances in data-driven knowledge discovery, visualization and visual analytics, and collaborative problem solving and decision-making. This paper describes three open software strategies-open access, source, and integration-to serve various research and education purposes of diverse geospatial communities. These strategies have been implemented in a leading-edge cyberGIS software environment through three corresponding software modalities: CyberGIS Gateway, Toolkit, and Middleware, and achieved broad and significant impacts.

Writing in the Ether: A Collaborative Approach to Academic Research.

ERIC Educational Resources Information Center

Winograd, David; Milton, Katherine

The purpose of this paper is to shed light on the developmental stages of academic publication collaborations through both research on the collaborative process itself, as well as through analysis of the discovery process. Using the qualitative software package, NUD*IST, the teleconferencing system, FirstClass, and standard e-mail, the study…

Apprenticeships, Collaboration and Scientific Discovery in Academic Field Studies

NASA Astrophysics Data System (ADS)

Madden, Derek Scott; Grayson, Diane J.; Madden, Erinn H.; Milewski, Antoni V.; Snyder, Cathy Ann

2012-11-01

Teachers may use apprenticeships and collaboration as instructional strategies that help students to make authentic scientific discoveries as they work as amateur researchers in academic field studies. This concept was examined with 643 students, ages 14-72, who became proficient at field research through cognitive apprenticeships with the Smithsonian Institute, School for Field Studies and Earthwatch. Control student teams worked from single research goals and sets of methods, while experimental teams varied goals, methods, and collaborative activities in Kenya, Costa Rica, Panama, and Ecuador. Results from studies indicate that students who conducted local pilot studies, collaborative symposia, and ongoing, long-term fieldwork generated significantly more data than did control groups. Research reports of the experimental groups were ranked highest by experts, and contributed the most data to international science journals. Data and anecdotal information in this report indicate that structured collaboration in local long-term studies using apprenticeships may increase the potential for students' academic field studies contribution of new information to science.

How Pictorial Knowledge Representations Mediate Collaborative Knowledge Construction in Groups

ERIC Educational Resources Information Center

Naykki, Piia; Jarvela, Sanna

2008-01-01

This study investigates the process of collaborative knowledge construction when technology and pictorial knowledge representations are used for visualizing individual and groups' shared ideas. The focus of the study is on how teacher-students contribute to the group's collaborative knowledge construction and use each other's ideas and tools as an…

Knowledge Integration in Cancer: Current Landscape and Future Prospects

PubMed Central

Ioannidis, John P.A.; Schully, Sheri D.; Lam, Tram Kim; Khoury, Muin J.

2015-01-01

Knowledge integration includes knowledge management, synthesis, and translation processes. It aims to maximize the use of collected scientific information and accelerate translation of discoveries into individual and population health benefits. Accumulated evidence in cancer epidemiology constitutes a large share of the 2.7 million articles on cancer in PubMed. We examine the landscape of knowledge integration in cancer epidemiology. Past approaches have mostly used retrospective efforts of knowledge management and traditional systematic reviews and meta-analyses. Systematic searches identify 2,332 meta-analyses, about half of which are on genetics and epigenetics. Meta-analyses represent 1:89-1:1162 of published articles in various cancer subfields. Recently, there are more collaborative meta-analyses with individual-level data, including those with prospective collection of measurements [e.g., genotypes in genome-wide association studies (GWAS)]; this may help increase the reliability of inferences in the field. However, most meta-analyses are still done retrospectively with published information. There is also a flurry of candidate gene meta-analyses with spuriously prevalent "positive" results. Prospective design of large research agendas, registration of datasets, and public availability of data and analyses may improve our ability to identify knowledge gaps, maximize and accelerate translational progress or—at a minimum—recognize dead ends in a more timely fashion. PMID:23093546

Knowledge integration in cancer: current landscape and future prospects.

PubMed

Ioannidis, John P A; Schully, Sheri D; Lam, Tram Kim; Khoury, Muin J

2013-01-01

Knowledge integration includes knowledge management, synthesis, and translation processes. It aims to maximize the use of collected scientific information and accelerate translation of discoveries into individual and population health benefits. Accumulated evidence in cancer epidemiology constitutes a large share of the 2.7 million articles on cancer in PubMed. We examine the landscape of knowledge integration in cancer epidemiology. Past approaches have mostly used retrospective efforts of knowledge management and traditional systematic reviews and meta-analyses. Systematic searches identify 2,332 meta-analyses, about half of which are on genetics and epigenetics. Meta-analyses represent 1:89-1:1162 of published articles in various cancer subfields. Recently, there are more collaborative meta-analyses with individual-level data, including those with prospective collection of measurements [e.g., genotypes in genome-wide association studies (GWAS)]; this may help increase the reliability of inferences in the field. However, most meta-analyses are still done retrospectively with published information. There is also a flurry of candidate gene meta-analyses with spuriously prevalent "positive" results. Prospective design of large research agendas, registration of datasets, and public availability of data and analyses may improve our ability to identify knowledge gaps, maximize and accelerate translational progress or-at a minimum-recognize dead ends in a more timely fashion.

Ontology Enabled Annotation and Knowledge Management for Collaborative Learning in Virtual Learning Community

ERIC Educational Resources Information Center

Yang, Stephen J. H.; Chen, Irene Ya-Ling; Shao, Norman W. Y.

2004-01-01

The nature of collaborative learning involves intensive interactions among collaborators, such as articulating knowledge into written, verbal or symbolic forms, authoring articles or posting messages to this community's discussion forum, responding or adding comments to messages or articles posted by others, etc. Knowledge collaborators'…

Evolution of the clinical and epidemiological knowledge about Chagas disease 90 years after its discovery.

PubMed

Prata, A

1999-01-01

Three different periods may be considered in the evolution of knowledge about the clinical and epidemiological aspects of Chagas disease since its discovery: (a) early period concerning the studies carried out by Carlos Chagas in Lassance with the collaboration of other investigators of the Manguinhos School. At that time the disease was described and the parasite, transmitters and reservoirs were studied. The coexistence of endemic goiter in the same region generated some confusion about the clinical forms of the disease; (b) second period involving uncertainty and the description of isolated cases, which lasted until the 1940 decade. Many acute cases were described during this period and the disease was recognized in many Latin American countries. Particularly important were the studies of the Argentine Mission of Regional Pathology Studies, which culminated with the description of the Romaña sign in the 1930 decade, facilitating the diagnosis of the early phase of the disease. However, the chronic phase, which was the most important, continued to be difficult to recognize; (c) period of consolidation of knowledge and recognition of the importance of Chagas disease. Studies conducted by Laranja, Dias and Nóbrega in Bambuí updated the description of Chagas heart disease made by Carlos Chagas and Eurico Villela. From then on, the disease was more easily recognized, especially with the emphasis on the use of a serologic diagnosis; (d) period of enlargement of knowledges on the disease. The studies on denervation conducted in Ribeirão Preto by Fritz Köberle starting in the 1950 decade led to a better understanding of the relations between Chagas disease and megaesophagus and other visceral megas detected in endemic areas.

A New Student Performance Analysing System Using Knowledge Discovery in Higher Educational Databases

ERIC Educational Resources Information Center

Guruler, Huseyin; Istanbullu, Ayhan; Karahasan, Mehmet

2010-01-01

Knowledge discovery is a wide ranged process including data mining, which is used to find out meaningful and useful patterns in large amounts of data. In order to explore the factors having impact on the success of university students, knowledge discovery software, called MUSKUP, has been developed and tested on student data. In this system a…

Knowledge Discovery in Databases.

ERIC Educational Resources Information Center

Norton, M. Jay

1999-01-01

Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…

The University of New Mexico Center for Molecular Discovery

PubMed Central

Edwards, Bruce S.; Gouveia, Kristine; Oprea, Tudor I.; Sklar, Larry A.

2015-01-01

The University of New Mexico Center for Molecular Discovery (UNMCMD) is an academic research center that specializes in discovery using high throughput flow cytometry (HTFC) integrated with virtual screening, as well as knowledge mining and drug informatics. With a primary focus on identifying small molecules that can be used as chemical probes and as leads for drug discovery, it is a central core resource for research and translational activities at UNM that supports implementation and management of funded screening projects as well as “up-front” services such as consulting for project design and implementation, assistance in assay development and generation of preliminary data for pilot projects in support of competitive grant applications. The HTFC platform in current use represents advanced, proprietary technology developed at UNM that is now routinely capable of processing bioassays arrayed in 96-, 384- and 1536-well formats at throughputs of 60,000 or more wells per day. Key programs at UNMCMD include screening of research targets submitted by the international community through NIH’s Molecular Libraries Program; a multi-year effort involving translational partnerships at UNM directed towards drug repurposing - identifying new uses for clinically approved drugs; and a recently established personalized medicine initiative for advancing cancer therapy by the application of “smart” oncology drugs in selected patients based on response patterns of their cancer cells in vitro. UNMCMD discoveries, innovation, and translation have contributed to a wealth of inventions, patents, licenses and publications, as well as startup companies, clinical trials and a multiplicity of domestic and international collaborative partnerships to further the research enterprise. PMID:24409953

The University of New Mexico Center for Molecular Discovery.

PubMed

Edwards, Bruce S; Gouveia, Kristine; Oprea, Tudor I; Sklar, Larry A

2014-03-01

The University of New Mexico Center for Molecular Discovery (UNMCMD) is an academic research center that specializes in discovery using high throughput flow cytometry (HTFC) integrated with virtual screening, as well as knowledge mining and drug informatics. With a primary focus on identifying small molecules that can be used as chemical probes and as leads for drug discovery, it is a central core resource for research and translational activities at UNM that supports implementation and management of funded screening projects as well as "up-front" services such as consulting for project design and implementation, assistance in assay development and generation of preliminary data for pilot projects in support of competitive grant applications. The HTFC platform in current use represents advanced, proprietary technology developed at UNM that is now routinely capable of processing bioassays arrayed in 96-, 384- and 1536-well formats at throughputs of 60,000 or more wells per day. Key programs at UNMCMD include screening of research targets submitted by the international community through NIH's Molecular Libraries Program; a multi-year effort involving translational partnerships at UNM directed towards drug repurposing - identifying new uses for clinically approved drugs; and a recently established personalized medicine initiative for advancing cancer therapy by the application of "smart" oncology drugs in selected patients based on response patterns of their cancer cells in vitro. UNMCMD discoveries, innovation, and translation have contributed to a wealth of inventions, patents, licenses and publications, as well as startup companies, clinical trials and a multiplicity of domestic and international collaborative partnerships to further the research enterprise.

Collaborative Research to Advance Precision Medicine in the Post-Genomic World | Office of Cancer Genomics

Cancer.gov

My name is Subhashini Jagu, and I am the Scientific Program Manager for the Cancer Target Discovery and Development (CTD2) Network at the Office of Cancer Genomics (OCG). In my new role, I help CTD2 work toward its mission, which is to develop new scientific approaches to accelerate the translation of genomic discoveries into new treatments. Collaborative efforts that bring together a variety of expertise and infrastructure are needed to understand and successfully treat cancer, a highly complex disease.

Discovery of an Apparent Nova in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Figueira, J.; Sin, P.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2017-12-01

The M81 nova monitoring collaboration reports the discovery of an apparent nova in M81 on a co-added 3150-s unfiltered CCD frame taken on 2017 Dec. 2.127 UT with the 0.65-m telescope at Ondrejov (OND).

Discovery of a Probable Nova in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2018-01-01

The M81 nova monitoring collaboration reports the discovery of a probable nova in M81 on a co-added 3150-s unfiltered CCD frame taken on 2018 Jan. 30.776 UT with the 0.65-m telescope at Ondrejov (OND).

Discovery of two Probable Novae in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Henze, M.; Sala, G.; Jose, J.; Figueira, J.; Sin, P.; Hernanz, M.; Williams, S. C.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2017-09-01

The M81 nova monitoring collaboration reports the discovery of two probable novae in M81 on a co-added 2700-s unfiltered CCD frame taken on 2017 Sep. 18.129 UT with the 0.65-m telescope at Ondrejov (OND).

Discovery of a Probable Nova in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Figueira, J.; Sin, P.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2017-12-01

The M81 nova monitoring collaboration reports the discovery of a probable nova in M81 on a co-added 2610-s unfiltered CCD frame taken on 2017 Dec. 26.016 UT with the 0.65-m telescope at Ondrejov (OND).

Discovery of Action Patterns and User Correlations in Task-Oriented Processes for Goal-Driven Learning Recommendation

ERIC Educational Resources Information Center

Zhou, Xiaokang; Chen, Jian; Wu, Bo; Jin, Qun

2014-01-01

With the high development of social networks, collaborations in a socialized web-based learning environment has become increasing important, which means people can learn through interactions and collaborations in communities across social networks. In this study, in order to support the enhanced collaborative learning, two important factors, user…

Exploring open innovation with a patient focus in drug discovery: an evolving paradigm of patient engagement.

PubMed

Allarakhia, Minna

2015-06-01

It is suggested in this article that patient engagement should occur further upstream during the drug discovery stage. 'Lead patients', namely those patients who are proactive with respect to their health, possess knowledge of their disease and resulting symptoms. They are also well informed about the conventional as well as non-conventional treatments for disease management; and so can provide a nuanced perspective to drug design. Understanding how patients view the management of their diseases and how they view the use of conventional versus non-conventional interventions is of imperative importance to researchers. Indeed, this can provide insight into how conventional treatments might be designed from the outset to encourage compliance and positive health outcomes. Consequently, a continuum of lead patient engagement is employed that focuses on drug discovery processes ranging from participative, informative to collaborative engagement. This article looks at a variety of open innovation models that are currently employed across this engagement spectrum. It is no longer sufficient for industry stakeholders to consider conventional therapies as the only mechanisms being sought after by patients. Without patient engagement, the industry risks being re-prioritized in terms of its role in the patient journey towards not only recovery of health, but also sustained health and wellness before disease onset.

Transforming Epidemiology for 21st Century Medicine and Public Health

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

Khoury, Muin J; Lam, Tram Kim; Ioannidis, John

2013-01-01

n 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving toward more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and acceleratemore » translation; (iii) expanding cohort studies to collect exposure, clinical, and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating big data science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy, and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology, in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits.« less

Transforming Epidemiology for 21st Century Medicine and Public Health

PubMed Central

Khoury, Muin J.; Lam, Tram Kim; Ioannidis, John P.A.; Hartge, Patricia; Spitz, Margaret R.; Buring, Julie E.; Chanock, Stephen J.; Croyle, Robert T.; Goddard, Katrina A.; Ginsburg, Geoffrey S.; Herceg, Zdenko; Hiatt, Robert A.; Hoover, Robert N.; Hunter, David J.; Kramer, Barnet S.; Lauer, Michael S.; Meyerhardt, Jeffrey A.; Olopade, Olufunmilayo I.; Palmer, Julie R.; Sellers, Thomas A.; Seminara, Daniela; Ransohoff, David F.; Rebbeck, Timothy R.; Tourassi, Georgia; Winn, Deborah M.; Zauber, Ann; Schully, Sheri D.

2013-01-01

In 2012, the National Cancer Institute (NCI) engaged the scientific community to provide a vision for cancer epidemiology in the 21st century. Eight overarching thematic recommendations, with proposed corresponding actions for consideration by funding agencies, professional societies, and the research community emerged from the collective intellectual discourse. The themes are (i) extending the reach of epidemiology beyond discovery and etiologic research to include multilevel analysis, intervention evaluation, implementation, and outcomes research; (ii) transforming the practice of epidemiology by moving towards more access and sharing of protocols, data, metadata, and specimens to foster collaboration, to ensure reproducibility and replication, and accelerate translation; (iii) expanding cohort studies to collect exposure, clinical and other information across the life course and examining multiple health-related endpoints; (iv) developing and validating reliable methods and technologies to quantify exposures and outcomes on a massive scale, and to assess concomitantly the role of multiple factors in complex diseases; (v) integrating “big data” science into the practice of epidemiology; (vi) expanding knowledge integration to drive research, policy and practice; (vii) transforming training of 21st century epidemiologists to address interdisciplinary and translational research; and (viii) optimizing the use of resources and infrastructure for epidemiologic studies. These recommendations can transform cancer epidemiology and the field of epidemiology in general, by enhancing transparency, interdisciplinary collaboration, and strategic applications of new technologies. They should lay a strong scientific foundation for accelerated translation of scientific discoveries into individual and population health benefits. PMID:23462917

Gathering and Exploring Scientific Knowledge in Pharmacovigilance

PubMed Central

Lopes, Pedro; Nunes, Tiago; Campos, David; Furlong, Laura Ines; Bauer-Mehren, Anna; Sanz, Ferran; Carrascosa, Maria Carmen; Mestres, Jordi; Kors, Jan; Singh, Bharat; van Mulligen, Erik; Van der Lei, Johan; Diallo, Gayo; Avillach, Paul; Ahlberg, Ernst; Boyer, Scott; Diaz, Carlos; Oliveira, José Luís

2013-01-01

Pharmacovigilance plays a key role in the healthcare domain through the assessment, monitoring and discovery of interactions amongst drugs and their effects in the human organism. However, technological advances in this field have been slowing down over the last decade due to miscellaneous legal, ethical and methodological constraints. Pharmaceutical companies started to realize that collaborative and integrative approaches boost current drug research and development processes. Hence, new strategies are required to connect researchers, datasets, biomedical knowledge and analysis algorithms, allowing them to fully exploit the true value behind state-of-the-art pharmacovigilance efforts. This manuscript introduces a new platform directed towards pharmacovigilance knowledge providers. This system, based on a service-oriented architecture, adopts a plugin-based approach to solve fundamental pharmacovigilance software challenges. With the wealth of collected clinical and pharmaceutical data, it is now possible to connect knowledge providers’ analysis and exploration algorithms with real data. As a result, new strategies allow a faster identification of high-risk interactions between marketed drugs and adverse events, and enable the automated uncovering of scientific evidence behind them. With this architecture, the pharmacovigilance field has a new platform to coordinate large-scale drug evaluation efforts in a unique ecosystem, publicly available at http://bioinformatics.ua.pt/euadr/. PMID:24349421

Potential and Impact Factors of the Knowledge and Information Awareness Approach for Fostering Net-Based Collaborative Problem-Solving: An Overview

ERIC Educational Resources Information Center

Engelmann, Tanja

2014-01-01

For effective communication and collaboration in learning situations, it is important to know what the collaboration partners know. However, the acquisition of this knowledge is difficult, especially in collaborating groups with spatially distributed members. One solution is the "Knowledge and Information Awareness" approach developed by…

A Knowledge Discovery framework for Planetary Defense

NASA Astrophysics Data System (ADS)

Jiang, Y.; Yang, C. P.; Li, Y.; Yu, M.; Bambacus, M.; Seery, B.; Barbee, B.

2016-12-01

Planetary Defense, a project funded by NASA Goddard and the NSF, is a multi-faceted effort focused on the mitigation of Near Earth Object (NEO) threats to our planet. Currently, there exists a dispersion of information concerning NEO's amongst different organizations and scientists, leading to a lack of a coherent system of information to be used for efficient NEO mitigation. In this paper, a planetary defense knowledge discovery engine is proposed to better assist the development and integration of a NEO responding system. Specifically, we have implemented an organized information framework by two means: 1) the development of a semantic knowledge base, which provides a structure for relevant information. It has been developed by the implementation of web crawling and natural language processing techniques, which allows us to collect and store the most relevant structured information on a regular basis. 2) the development of a knowledge discovery engine, which allows for the efficient retrieval of information from our knowledge base. The knowledge discovery engine has been built on the top of Elasticsearch, an open source full-text search engine, as well as cutting-edge machine learning ranking and recommendation algorithms. This proposed framework is expected to advance the knowledge discovery and innovation in planetary science domain.

Evolution of the “Drivers” of Translational Cancer Epidemiology: Analysis of Funded Grants and the Literature

PubMed Central

Lam, Tram Kim; Chang, Christine Q.; Rogers, Scott D.; Khoury, Muin J.; Schully, Sheri D.

2015-01-01

Concurrently with a workshop sponsored by the National Cancer Institute, we identified key “drivers” for accelerating cancer epidemiology across the translational research continuum in the 21st century: emerging technologies, a multilevel approach, knowledge integration, and team science. To map the evolution of these “drivers” and translational phases (T0–T4) in the past decade, we analyzed cancer epidemiology grants funded by the National Cancer Institute and published literature for 2000, 2005, and 2010. For each year, we evaluated the aims of all new/competing grants and abstracts of randomly selected PubMed articles. Compared with grants based on a single institution, consortium-based grants were more likely to incorporate contemporary technologies (P = 0.012), engage in multilevel analyses (P = 0.010), and incorporate elements of knowledge integration (P = 0.036). Approximately 74% of analyzed grants and publications involved discovery (T0) or characterization (T1) research, suggesting a need for more translational (T2–T4) research. Our evaluation indicated limited research in 1) a multilevel approach that incorporates molecular, individual, social, and environmental determinants and 2) knowledge integration that evaluates the robustness of scientific evidence. Cancer epidemiology is at the cusp of a paradigm shift, and the field will need to accelerate the pace of translating scientific discoveries in order to impart population health benefits. While multi-institutional and technology-driven collaboration is happening, concerted efforts to incorporate other key elements are warranted for the discipline to meet future challenges. PMID:25767265

Independent Discovery of a Probable Nova in M81

NASA Astrophysics Data System (ADS)

Kucakova, H.; Hornoch, K.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2018-03-01

The M81 nova monitoring collaboration reports the independent discovery of a probable nova in M81 on a co-added 1350-s unfiltered CCD frame taken on 2018 Mar. 21.952 UT with the 0.65-m telescope at Ondrejov.

Independent Discovery of a Probable Nova in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2018-04-01

The M81 nova monitoring collaboration reports the independent discovery of a probable nova in M81 on a co-added 2700-s unfiltered CCD frame taken on 2018 Apr. 2.815 UT with the 0.65-m telescope at Ondrejov.

Independent Discovery of an Apparent Nova in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2018-02-01

The M81 nova monitoring collaboration reports the independent discovery of an apparent nova in M81 on a co-added 2700-s unfiltered CCD frame taken on 2018 Feb. 19.039 UT with the 0.65-m telescope at Ondrejov (OND).

ORNL, partners officially recognized for discovery of elements 115, 117

ScienceCinema

Roberto, Jim

2018-01-16

The International Union for Pure and Applied Chemistry has announced formal verification of four new chemical elements, recognizing the Department of Energy’s Oak Ridge National Laboratory and its collaborators for the discovery of elements 115 and 117.

Look Who's Talking - The Role of the IARPC Collaborations Website in Supporting Mutli-Institution Dialog on Arctic Research Imperatives

NASA Astrophysics Data System (ADS)

Starkweather, S.; Stephenson, S. N.; Rohde, J. A.; Bowden, S.

2015-12-01

The IARPC Collaborations website (www.iarpccollaborations.org) was developed to support collaborative implementation of the Interagency Arctic Research Policy Committee's (IARPC) 5-Year Plan for Arctic Research. The Plan describes an ambitious agenda for advancing understanding of the changing Arctic, a challenge that requires innovative approaches to integrate disparate research activities. IARPC was created by Congress to address this integration with a mandate that includes developing interagency collaboration and outside partnerships, specifically those with the State of Alaska, indigenous communities, academia, industry and non-governmental organizations. The IARPC Collaborations website was introduced in October of 2014 as an innovative means to address IARPC's mandate. It is an open, social networking platform with member-driven content and features to support dialog and milestone tracking. In its first year, IARPC Collaborations has attracted more than 600 members. Member-supplied content added to the site includes more than 575 research planning documents and scientific presentations and 300 updates on research plans and resources; all content is tagged with descriptive keywords to expedite discovery and elucidate connectivity across members and topics. Applying a social network analysis to metadata from the site reveals the strength and nature of this connectivity. This analysis demonstrates that Collaboration Team phone meetings remain the dominant form of communication. Dialog on the site through comment forums has been slow to emerge despite its merits of persistence and transparency. While more than 80 members have used the comment features at least once, the strong centrality of the IARPC Secretariat to website dialog is apparent. An analysis of content keywords demonstrates the potential for improved dialog based on overlapping interests as revealed by trending topics like "sea ice prediction", "traditional knowledge" and "permafrost carbon". Less than one year into launch, this analysis of IARPC's experiment in collaborative integration reveals the enduring strengths of traditional collaboration tools like secretariat support and phone meetings; the full potential of IARPC's social networking tools remains to be seen.

Can science be a business? Lessons from biotech.

PubMed

Pisano, Gary P

2006-10-01

In 1976, Genentech, the first biotechnology company, was founded by a young venture capitalist and a university professor to exploit recombinant DNA technology. Thirty years and more than 300 billion dollars in investments later, only a handful of biotech firms have matched Genentech's success or even shown a profit. No avalanche of new drugs has hit the market, and the long-awaited breakthrough in R&D productivity has yet to materialize. This disappointing performance raises a question: Can organizations motivated by the need to make profits and please shareholders successfully conduct basic scientific research as a core activity? The question has largely been ignored, despite intense debate over whether business's invasion of basic science-long the domain of universities and nonprofit research institutions- is limiting access to discoveries, thereby slowing advances in science. Biotech has not lived up to its promise, says the author, because its anatomy, which has worked well in other high-tech sectors, can't handle the fundamental challenges facing drug R&D: profound, persistent uncertainty and high risks rooted in the limited knowledge of human biology; the need for the diverse disciplines involved in drug discovery to work together in an integrated fashion; and barriers to learning, including tacit knowledge and murky intellectual property rights, which can slow the pace of scientific advance. A more suitable anatomy would include increased vertical integration; a smaller number of closer, longer collaborations; an emphasis by universities on sharing rather than patenting scientific discoveries; more cross-disciplinary academic research; and more federal and private funding for translational research, which bridges basic and applied science. With such modifications, science can be a business.

Knowledge Discovery from Biomedical Ontologies in Cross Domains.

PubMed

Shen, Feichen; Lee, Yugyung

2016-01-01

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

Knowledge Discovery from Biomedical Ontologies in Cross Domains

PubMed Central

Shen, Feichen; Lee, Yugyung

2016-01-01

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

Knowledge discovery with classification rules in a cardiovascular dataset.

PubMed

Podgorelec, Vili; Kokol, Peter; Stiglic, Milojka Molan; Hericko, Marjan; Rozman, Ivan

2005-12-01

In this paper we study an evolutionary machine learning approach to data mining and knowledge discovery based on the induction of classification rules. A method for automatic rules induction called AREX using evolutionary induction of decision trees and automatic programming is introduced. The proposed algorithm is applied to a cardiovascular dataset consisting of different groups of attributes which should possibly reveal the presence of some specific cardiovascular problems in young patients. A case study is presented that shows the use of AREX for the classification of patients and for discovering possible new medical knowledge from the dataset. The defined knowledge discovery loop comprises a medical expert's assessment of induced rules to drive the evolution of rule sets towards more appropriate solutions. The final result is the discovery of a possible new medical knowledge in the field of pediatric cardiology.

Progress in Biomedical Knowledge Discovery: A 25-year Retrospective

PubMed Central

Sacchi, L.

2016-01-01

Summary Objectives We sought to explore, via a systematic review of the literature, the state of the art of knowledge discovery in biomedical databases as it existed in 1992, and then now, 25 years later, mainly focused on supervised learning. Methods We performed a rigorous systematic search of PubMed and latent Dirichlet allocation to identify themes in the literature and trends in the science of knowledge discovery in and between time periods and compare these trends. We restricted the result set using a bracket of five years previous, such that the 1992 result set was restricted to articles published between 1987 and 1992, and the 2015 set between 2011 and 2015. This was to reflect the current literature available at the time to researchers and others at the target dates of 1992 and 2015. The search term was framed as: Knowledge Discovery OR Data Mining OR Pattern Discovery OR Pattern Recognition, Automated. Results A total 538 and 18,172 documents were retrieved for 1992 and 2015, respectively. The number and type of data sources increased dramatically over the observation period, primarily due to the advent of electronic clinical systems. The period 1992-2015 saw the emergence of new areas of research in knowledge discovery, and the refinement and application of machine learning approaches that were nascent or unknown in 1992. Conclusions Over the 25 years of the observation period, we identified numerous developments that impacted the science of knowledge discovery, including the availability of new forms of data, new machine learning algorithms, and new application domains. Through a bibliometric analysis we examine the striking changes in the availability of highly heterogeneous data resources, the evolution of new algorithmic approaches to knowledge discovery, and we consider from legal, social, and political perspectives possible explanations of the growth of the field. Finally, we reflect on the achievements of the past 25 years to consider what the next 25 years will bring with regard to the availability of even more complex data and to the methods that could be, and are being now developed for the discovery of new knowledge in biomedical data. PMID:27488403

Progress in Biomedical Knowledge Discovery: A 25-year Retrospective.

PubMed

Sacchi, L; Holmes, J H

2016-08-02

We sought to explore, via a systematic review of the literature, the state of the art of knowledge discovery in biomedical databases as it existed in 1992, and then now, 25 years later, mainly focused on supervised learning. We performed a rigorous systematic search of PubMed and latent Dirichlet allocation to identify themes in the literature and trends in the science of knowledge discovery in and between time periods and compare these trends. We restricted the result set using a bracket of five years previous, such that the 1992 result set was restricted to articles published between 1987 and 1992, and the 2015 set between 2011 and 2015. This was to reflect the current literature available at the time to researchers and others at the target dates of 1992 and 2015. The search term was framed as: Knowledge Discovery OR Data Mining OR Pattern Discovery OR Pattern Recognition, Automated. A total 538 and 18,172 documents were retrieved for 1992 and 2015, respectively. The number and type of data sources increased dramatically over the observation period, primarily due to the advent of electronic clinical systems. The period 1992- 2015 saw the emergence of new areas of research in knowledge discovery, and the refinement and application of machine learning approaches that were nascent or unknown in 1992. Over the 25 years of the observation period, we identified numerous developments that impacted the science of knowledge discovery, including the availability of new forms of data, new machine learning algorithms, and new application domains. Through a bibliometric analysis we examine the striking changes in the availability of highly heterogeneous data resources, the evolution of new algorithmic approaches to knowledge discovery, and we consider from legal, social, and political perspectives possible explanations of the growth of the field. Finally, we reflect on the achievements of the past 25 years to consider what the next 25 years will bring with regard to the availability of even more complex data and to the methods that could be, and are being now developed for the discovery of new knowledge in biomedical data.

Independent Discovery of a Probable Luminous Nova in M81

NASA Astrophysics Data System (ADS)

Hornoch, K.; Kucakova, H.; Williams, S. C.; Henze, M.; Sala, G.; Jose, J.; Meusinger, H.; Darnley, M. J.; Kaur, A.; Hartmann, D. H.; Shafter, A. W.

2018-04-01

The M81 nova monitoring collaboration reports the independent discovery of a probable luminous nova in M81 on a co-added 4410-s unfiltered CCD frame taken on 2018 Apr. 9.044 UT with the 0.65-m telescope at Ondrejov.

Strategy of Daiichi Sankyo discovery research in oncology.

PubMed

Akahane, Kouichi; Hirokawa, Kazunori

2014-02-01

We would like to introduce Daiichi Sankyo's approach to developing cancer targeted medicines with special reference to the drug discovery strategy, global discovery activities and external research collaboration leading to generation of innovative drugs for cancer patients. We are developing 14 clinical projects for cancer treatment and three of them have been previously approved. These are mostly targeted for growth and survival signals of cancer cells. To overcome the drug resistance mechanism derived from the heterogeneous nature of cancer, we are developing selective inhibitors in three major clusters of signal pathways which may allow future rational combinations of oncology products. In addition to the main research facility in Japan, research sites in the EU and the USA provide us with different technical expertise and diversified ideas of drug discovery. To access novel drug targets, we are facilitating research collaboration with leading academia and successful cancer research scientists. In conclusion, we intend to focus more on developing innovative personalized medicines for better treatment of cancer.

Practice-Based Knowledge Discovery for Comparative Effectiveness Research: An Organizing Framework

PubMed Central

Lucero, Robert J.; Bakken, Suzanne

2014-01-01

Electronic health information systems can increase the ability of health-care organizations to investigate the effects of clinical interventions. The authors present an organizing framework that integrates outcomes and informatics research paradigms to guide knowledge discovery in electronic clinical databases. They illustrate its application using the example of hospital acquired pressure ulcers (HAPU). The Knowledge Discovery through Informatics for Comparative Effectiveness Research (KDI-CER) framework was conceived as a heuristic to conceptualize study designs and address potential methodological limitations imposed by using a single research perspective. Advances in informatics research can play a complementary role in advancing the field of outcomes research including CER. The KDI-CER framework can be used to facilitate knowledge discovery from routinely collected electronic clinical data. PMID:25278645

Management of Charcot–Marie–Tooth disease: improving long-term care with a multidisciplinary approach

PubMed Central

McCorquodale, Donald; Pucillo, Evan M; Johnson, Nicholas E

2016-01-01

Charcot–Marie–Tooth (CMT) disease is the most common inherited neuropathy and one of the most common inherited diseases in humans. The diagnosis of CMT is traditionally made by the neurologic specialist, yet the optimal management of CMT patients includes genetic counselors, physical and occupational therapists, physiatrists, orthotists, mental health providers, and community resources. Rapidly developing genetic discoveries and novel gene discovery techniques continue to add a growing number of genetic subtypes of CMT. The first large clinical natural history and therapeutic trials have added to our knowledge of each CMT subtype and revealed how CMT impacts patient quality of life. In this review, we discuss several important trends in CMT research factors that will require a collaborative multidisciplinary approach. These include the development of large multicenter patient registries, standardized clinical instruments to assess disease progression and disability, and increasing recognition and use of patient-reported outcome measures. These developments will continue to guide strategies in long-term multidisciplinary efforts to maintain quality of life and preserve functionality in CMT patients. PMID:26855581

Targeted drug discovery and development, from molecular signaling to the global market: an educational program at New York University, 5-year metrics

PubMed Central

Lee, Gloria; Plaksin, Joseph; Ramasamy, Ravichandran; Gold-von Simson, Gabrielle

2018-01-01

Drug discovery and development (DDD) is a collaborative, dynamic process of great interest to researchers, but an area where there is a lack of formal training. The Drug Development Educational Program (DDEP) at New York University was created in 2012 to stimulate an improved, multidisciplinary DDD workforce by educating early stage scientists as well as a variety of other like-minded students. The first course of the program emphasizes post-compounding aspects of DDD; the second course focuses on molecular signaling pathways. In five years, 196 students (candidates for PhD, MD, Master’s degree, and post-doctoral MD/PhD) from different schools (Medicine, Biomedical Sciences, Dentistry, Engineering, Business, and Education) completed the course(s). Pre/post surveys demonstrate knowledge gain across all course topics. 26 students were granted career development awards (73% women, 23% underrepresented minorities). Some graduates of their respective degree-granting/post-doctoral programs embarked on DDD related careers. This program serves as a framework for other academic institutions to develop compatible programs designed to train a more informed DDD workforce. PMID:29657854

“Drivers” of Translational Cancer Epidemiology in the 21st Century: Needs and Opportunities

PubMed Central

Lam, Tram Kim; Spitz, Margaret; Schully, Sheri D.; Khoury, Muin J.

2012-01-01

Cancer epidemiology is at the cusp of a paradigm shift--propelled by an urgent need to accelerate the pace of translating scientific discoveries into healthcare and population health benefits. As part of a strategic planning process for cancer epidemiologic research, the Epidemiology and Genomics Research Program (EGRP) at the National Cancer Institute (NCI) is leading a “longitudinal” meeting with members of the research community to engage in an on-going dialogue to help shape and invigorate the field. Here, we review a translational framework influenced by “drivers” that we believe have begun guiding cancer epidemiology towards translation in the past few years and are most likely to drive the field further in the next decade. The drivers include: (1) collaboration and team science; (2) technology; (3) multi-level analyses and interventions; and (4) knowledge integration from basic, clinical and population sciences. Using the global prevention of cervical cancer as an example of a public health endeavor to anchor the conversation, we discuss how these drivers can guide epidemiology from discovery to population health impact, along the translational research continuum. PMID:23322363

The Study on Collaborative Manufacturing Platform Based on Agent

NASA Astrophysics Data System (ADS)

Zhang, Xiao-yan; Qu, Zheng-geng

To fulfill the trends of knowledge-intensive in collaborative manufacturing development, we have described multi agent architecture supporting knowledge-based platform of collaborative manufacturing development platform. In virtue of wrapper service and communication capacity agents provided, the proposed architecture facilitates organization and collaboration of multi-disciplinary individuals and tools. By effectively supporting the formal representation, capture, retrieval and reuse of manufacturing knowledge, the generalized knowledge repository based on ontology library enable engineers to meaningfully exchange information and pass knowledge across boundaries. Intelligent agent technology increases traditional KBE systems efficiency and interoperability and provides comprehensive design environments for engineers.

Networking Cyberinfrastructure Resources to Support Global, Cross-disciplinary Science

NASA Astrophysics Data System (ADS)

Lehnert, K.; Ramamurthy, M. K.

2016-12-01

Geosciences are globally connected by nature and the grand challenge problems like climate change, ocean circulations, seasonal predictions, impact of volcanic eruptions, etc. all transcend both disciplinary and geographic boundaries, requiring cross-disciplinary and international partnerships. Cross-disciplinary and international collaborations are also needed to unleash the power of cyber- (or e-) infrastructure (CI) by networking globally distributed, multi-disciplinary data, software, and computing resources to accelerate new scientific insights and discoveries. While the promises of a global and cross-disciplinary CI are exhilarating and real, a range of technical, organizational, and social challenges needs to be overcome in order to achieve alignment and linking of operational data systems, software tools, and computing facilities. New modes of collaboration require agreement on and governance of technical standards and best practices, and funding for necessary modifications. This presentation will contribute the perspective of domain-specific data facilities to the discussion of cross-disciplinary and international collaboration in CI development and deployment, in particular those of IEDA (Interdisciplinary Earth Data Alliance) serving the solid Earth sciences and Unidata serving atmospheric sciences. Both facilities are closely involved with the US NSF EarthCube program that aims to network and augment existing Geoscience CI capabilities "to make disciplinary boundaries permeable, nurture and facilitate knowledge sharing, …, and enhance collaborative pursuit of cross-disciplinary research" (EarthCube Strategic Vision), while also collaborating internationally to network domain-specific and cross-disciplinary CI resources. These collaborations are driven by the substantial benefits to the science community, but create challenges, when operational and funding constraints need to be balanced with adjustments to new joint data curation practices and interoperability standards.

Citizen Science Initiatives: Engaging the Public and Demystifying Science

PubMed Central

Van Vliet, Kim; Moore, Claybourne

2016-01-01

The Internet and smart phone technologies have opened up new avenues for collaboration among scientists around the world. These technologies have also expanded citizen science opportunities and public participation in scientific research (PPSR). Here we discuss citizen science, what it is, who does it, and the variety of projects and methods used to increase scientific knowledge and scientific literacy. We describe a number of different types of citizen-science projects. These greatly increase the number of people involved, helping to speed the pace of data analysis and allowing science to advance more rapidly. As a result of the numerous advantages of citizen-science projects, these opportunities are likely to expand in the future and increase the rate of novel discoveries. PMID:27047582

Citizen Science Initiatives: Engaging the Public and Demystifying Science.

PubMed

Van Vliet, Kim; Moore, Claybourne

2016-03-01

The Internet and smart phone technologies have opened up new avenues for collaboration among scientists around the world. These technologies have also expanded citizen science opportunities and public participation in scientific research (PPSR). Here we discuss citizen science, what it is, who does it, and the variety of projects and methods used to increase scientific knowledge and scientific literacy. We describe a number of different types of citizen-science projects. These greatly increase the number of people involved, helping to speed the pace of data analysis and allowing science to advance more rapidly. As a result of the numerous advantages of citizen-science projects, these opportunities are likely to expand in the future and increase the rate of novel discoveries.

Biosphere 2, a nexus of partner networks that improve student experiences and outcomes

NASA Astrophysics Data System (ADS)

Dontsova, K.; Bonine, K. E.; Batchelor, R. L.; Brinkworth, C.; Keller, J. M.; Hogan, D.; Treloar, D.

2017-12-01

University of Arizona (UA) Biosphere 2 co-convenes several internship opportunities for undergraduate students, including 1) NSF-funded Research Experiences for Undergraduates (REU) Site: "Biosphere 2 Earth Systems Research for Environmental Solutions", 2) NSF-funded INCLUDES program "Collaborative Research: Integrating Indigenous and Western Knowledge to Transform Learning and Discovery in the Geosciences" executed in collaboration with the University Corporation for Atmospheric Research (UCAR), and 3) STEM Teacher and Researcher (STAR) Fellows Program in partnership with California Polytechnic State University - San Luis Obispo. In addition, the B2 REU Site partners with several UA organizations linking research to stakeholders, such as UA Cooperative Extension, Institute of the Environment, and the Water Resources Research Center, and with the UA Graduate College's Undergraduate Research Opportunities Consortium (UROC), which connects a diverse portfolio of summer research programs across the UA campus. Connections among these programs and organizations allow us to improve student experiences and outcomes by leveraging organizational, mentor, and peer diversity and expertise. Each partnership brings unique benefits for the students - from access to teaching experience and perspectives that STAR Fellows provide, to a multitude of professional development programs made possible by pooled resources of UROC participants, to access to networks and knowledge from our outreach partners, to opportunities for continued multi-year learning and support with INCLUDES and UCAR. Coming together allows all partners to better apply outside resources, expertise, and knowledge to bring more value to the students and to help students enrich themselves as well as partner organizations and program participants.

Transcending differences to study the transcendent: an exploratory study of researchers' and chaplains' reflections on interdisciplinary spiritual care research collaboration.

PubMed

Powell, Richard A; Emanuel, Linda; Handzo, George; Lantos, John; Dunn, Laura B; Idler, Ellen L; Wilkie, Diane J; Massey, Kevin; Summerfelt, William T; Barnes, Marilyn J D; Quest, Tammie E; Kestenbaum, Allison; Steinhauser, Karen; Fitchett, George; Zollfrank, Angelika; Olsen, Annette K; Balboni, Tracy A; Sommer, Dane

2015-04-18

Despite recognition of the centrality of professional board-certified chaplains (BCC) in palliative care, the discipline has little research to guide its practices. To help address this limitation, HealthCare Chaplaincy Network funded six proposals in which BCCs worked collaboratively with established researchers. Recognizing the importance of interdisciplinary collaboration in the development of a new field, this paper reports on an exploratory study of project members' reflections over time on the benefits and challenges of conducting inter-disciplinary spiritual care research. Data collection occurred in two stages. Stage 1 entailed two independent, self-reflective focus groups, organized by professional discipline, mid-way through the site projects. Stage 2 entailed end-of-project site reports and a conference questionnaire. Eighteen professionals participated in the group discussions. Stage 1: researchers perceived chaplains as eager workers passionately committed to their patients and to research, and identified challenges faced by chaplains in learning to conduct research. Chaplains perceived researchers as passionate about their work, were concerned research might uncover negative findings for their profession, and sensed they used a dissimilar paradigm from their research colleagues regarding the 'ways of relating' to knowledge and understanding. Stage 2: researchers and chaplains noted important changes they ascribed to the interdisciplinary collaboration that were classified into six domains of cultural and philosophical understanding: respect; learning; discovery; creativity; fruitful partnerships; and learning needs. Chaplains and researchers initially expressed divergent perspectives on the research collaborations. During the projects' lifespans, these differences were acknowledged and addressed. Mutual appreciation for each discipline's strengths and contributions to inter-professional dialogue emerged.

A Location Aware Middleware Framework for Collaborative Visual Information Discovery and Retrieval

DTIC Science & Technology

2017-09-14

Information Discovery and Retrieval Andrew J.M. Compton Follow this and additional works at: https://scholar.afit.edu/etd Part of the Digital...and Dissertations by an authorized administrator of AFIT Scholar. For more information , please contact richard.mansfield@afit.edu. Recommended Citation...

Collaborative Professional Development in Higher Education: Developing Knowledge of Technology Enhanced Teaching

ERIC Educational Resources Information Center

Jaipal-Jamani, Kamini; Figg, Candace; Gallagher, Tiffany; Scott, Ruth McQuirter; Ciampa, Katia

2015-01-01

This paper describes a professional development initiative for teacher educators, called the "Digital Pedagogies Collaboration," in which the goal was to build faculty knowledge about technology enhanced teaching (TPACK knowledge), develop a collaborative learning and research community of faculty members around technology enhanced…

The Role of HTS in Drug Discovery at the University of Michigan

PubMed Central

Larsen, Martha J.; Larsen, Scott D.; Fribley, Andrew; Grembecka, Jolanta; Homan, Kristoff; Mapp, Anna; Haak, Andrew; Nikolovska-Coleska, Zaneta; Stuckey, Jeanne A.; Sun, Duxin

2014-01-01

High throughput screening (HTS) is an integral part of a highly collaborative approach to drug discovery at the University of Michigan. The HTS lab is one of four core centers that provide services to identify, produce, screen and follow-up on biomedical targets for faculty. Key features of this system are: protein cloning and purification, protein crystallography, small molecule and siRNA HTS, medicinal chemistry and pharmacokinetics. Therapeutic areas that have been targeted include anti-bacterial, metabolic, neurodegenerative, cardiovascular, anti-cancer and anti-viral. The centers work in a coordinated, interactive environment to affordably provide academic investigators with the technology, informatics and expertise necessary for successful drug discovery. This review provides an overview of these centers at the University of Michigan, along with case examples of successful collaborations with faculty. PMID:24409957

Humanistic Intentionality in Clinical Collaboration

ERIC Educational Resources Information Center

Gold, Joshua

2016-01-01

This conceptual paper introduces a clinical collaboration model for counselors founded in the principles of humanistic counseling and wellness. The article offers applications for client life self-assessment and the discovery of personally relevant social resources. Finally, implications of this approach for graduate training, clinical service and…

Towards the Reconciliation of Knowledge Management and e-Collaboration Systems

ERIC Educational Resources Information Center

Le Dinh, Thang; Rinfret, Louis; Raymond, Louis; Dong Thi, Bich-Thuy

2013-01-01

Purpose: The purpose of this paper is to propose an intelligent infrastructure for the reconciliation of knowledge management and e-collaboration systems. Design/Methodology/Approach:Literature on e-collaboration, information management, knowledge management, learning process, and intellectual capital is mobilised in order to build the conceptual…

Interactive knowledge discovery with the doctor-in-the-loop: a practical example of cerebral aneurysms research.

PubMed

Girardi, Dominic; Küng, Josef; Kleiser, Raimund; Sonnberger, Michael; Csillag, Doris; Trenkler, Johannes; Holzinger, Andreas

2016-09-01

Established process models for knowledge discovery find the domain-expert in a customer-like and supervising role. In the field of biomedical research, it is necessary to move the domain-experts into the center of this process with far-reaching consequences for both their research output and the process itself. In this paper, we revise the established process models for knowledge discovery and propose a new process model for domain-expert-driven interactive knowledge discovery. Furthermore, we present a research infrastructure which is adapted to this new process model and demonstrate how the domain-expert can be deeply integrated even into the highly complex data-mining process and data-exploration tasks. We evaluated this approach in the medical domain for the case of cerebral aneurysms research.

Discovery of Bioactive Compounds by the UIC-ICBG Drug Discovery Program in the 18 Years Since 1998.

PubMed

Zhang, Hong-Jie; Li, Wan-Fei; Fong, Harry H S; Soejarto, Djaja Doel

2016-10-31

The International Cooperative Biodiversity Groups (ICBG) Program based at the University of Illinois at Chicago (UIC) is a program aimed to address the interdependent issues of inventory and conservation of biodiversity, drug discovery and sustained economic growth in both developing and developed countries. It is an interdisciplinary program involving the extensive synergies and collaborative efforts of botanists, chemists and biologists in the countries of Vietnam, Laos and the USA. The UIC-ICBG drug discovery efforts over the past 18 years have resulted in the collection of a cumulative total of more than 5500 plant samples (representing more than 2000 species), that were evaluated for their potential biological effects against cancer, HIV, bird flu, tuberculosis and malaria. The bioassay-guided fractionation and separation of the bioactive plant leads resulted in the isolation of approximately 300 compounds of varying degrees of structural complexity and/or biological activity. The present paper summarizes the significant drug discovery achievements made by the UIC-ICBG team of multidisciplinary collaborators in the project over the period of 1998-2012 and the projects carried on in the subsequent years by involving the researchers in Hong Kong.

SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data.

PubMed

Salehi, Ali; Jimenez-Berni, Jose; Deery, David M; Palmer, Doug; Holland, Edward; Rozas-Larraondo, Pablo; Chapman, Scott C; Georgakopoulos, Dimitrios; Furbank, Robert T

2015-01-01

To our knowledge, there is no software or database solution that supports large volumes of biological time series sensor data efficiently and enables data visualization and analysis in real time. Existing solutions for managing data typically use unstructured file systems or relational databases. These systems are not designed to provide instantaneous response to user queries. Furthermore, they do not support rapid data analysis and visualization to enable interactive experiments. In large scale experiments, this behaviour slows research discovery, discourages the widespread sharing and reuse of data that could otherwise inform critical decisions in a timely manner and encourage effective collaboration between groups. In this paper we present SensorDB, a web based virtual laboratory that can manage large volumes of biological time series sensor data while supporting rapid data queries and real-time user interaction. SensorDB is sensor agnostic and uses web-based, state-of-the-art cloud and storage technologies to efficiently gather, analyse and visualize data. Collaboration and data sharing between different agencies and groups is thereby facilitated. SensorDB is available online at http://sensordb.csiro.au.

Collaborative Testing: An Effective Invitational Strategy for High-Stakes Testing in Nursing.

PubMed

Green, Rebecca; Worthey, Terri; Kerven, Jenny

2018-05-01

A collaborative testing intervention was designed as an application of the invitational education model in an undergraduate nursing course. The purpose of this study was to evaluate the effect of collaborative testing on examination scores and knowledge retention of course content and to evaluate students' feelings about the collaborative testing process. A quasi-experimental design was used to evaluate the effect of collaborative testing on examination scores and knowledge retention among undergraduate nursing students in a public health course (N = 106). A descriptive survey was used to evaluate students' perceptions of the collaborative testing intervention. Collaborative testing increased examination scores and facilitated knowledge retention. Students' perceptions of the intervention were positive. Invitational strategies, such as collaborative testing, may result in measurably better outcomes, such as better examination scores and improved knowledge retention. Rigor does not need to be a barrier to invitational learning and, in fact, it may be complemented and enhanced by it. [J Nurs Educ. 2018;57(5):291-295.]. Copyright 2018, SLACK Incorporated.

NETL's Energy Data Exchange (EDX) - a coordination, collaboration, and data resource discovery platform for energy science

NASA Astrophysics Data System (ADS)

Rose, K.; Rowan, C.; Rager, D.; Dehlin, M.; Baker, D. V.; McIntyre, D.

2015-12-01

Multi-organizational research teams working jointly on projects often encounter problems with discovery, access to relevant existing resources, and data sharing due to large file sizes, inappropriate file formats, or other inefficient options that make collaboration difficult. The Energy Data eXchange (EDX) from Department of Energy's (DOE) National Energy Technology Laboratory (NETL) is an evolving online research environment designed to overcome these challenges in support of DOE's fossil energy goals while offering improved access to data driven products of fossil energy R&D such as datasets, tools, and web applications. In 2011, development of NETL's Energy Data eXchange (EDX) was initiated and offers i) a means for better preserving of NETL's research and development products for future access and re-use, ii) efficient, discoverable access to authoritative, relevant, external resources, and iii) an improved approach and tools to support secure, private collaboration and coordination between multi-organizational teams to meet DOE mission and goals. EDX presently supports fossil energy and SubTER Crosscut research activities, with an ever-growing user base. EDX is built on a heavily customized instance of the open source platform, Comprehensive Knowledge Archive Network (CKAN). EDX connects users to externally relevant data and tools through connecting to external data repositories built on different platforms and other CKAN platforms (e.g. Data.gov). EDX does not download and repost data or tools that already have an online presence. This leads to redundancy and even error. If a relevant resource already has an online instance, is hosted by another online entity, EDX will point users to that external host either using web services, inventorying URLs and other methods. EDX offers users the ability to leverage private-secure capabilities custom built into the system. The team is presently working on version 3 of EDX which will incorporate big data analytical capabilities amongst other advanced features.

Supporting Awareness for Augmenting Participation in Collaborative Learning.

ERIC Educational Resources Information Center

Ogata, Hiroaki; Yano, Yoneo

This paper describes Coconuts (Concurrent Collaborative Learning Environment Supported by Awareness), a proposed module of Sharlok (Sharing, Linking and Looking-for Knowledge), an open-ended and collaborative learning environment that integrates a knowledge building tool with a collaborative interface tool. Coconuts was developed in order to…

Knowledge Discovery in Textual Documentation: Qualitative and Quantitative Analyses.

ERIC Educational Resources Information Center

Loh, Stanley; De Oliveira, Jose Palazzo M.; Gastal, Fabio Leite

2001-01-01

Presents an application of knowledge discovery in texts (KDT) concerning medical records of a psychiatric hospital. The approach helps physicians to extract knowledge about patients and diseases that may be used for epidemiological studies, for training professionals, and to support physicians to diagnose and evaluate diseases. (Author/AEF)

Firming-Up Core: A Collaborative Approach.

ERIC Educational Resources Information Center

McInnis, Bernadette

The Collaborative Probing Model (CPM) is a heuristic approach to writing across the disciplines that stresses discovery, process, and assessment. Faculty input will help the English department design an oral and written communication block that will be unified by a series of interdisciplinary videotaped presentations. CPM also uses flow charting…

Building Research Collaboration Networks--An Interpersonal Perspective for Research Capacity Building

ERIC Educational Resources Information Center

Huang, Jun Song

2014-01-01

While collaboration is increasingly recognized to be important for research, researchers' collaboration networks are still not adequately recognized as a form of research capacity in the literature. Research is a knowledge creation activity and interpersonal research collaboration networks are important for knowledge cross-fertilization and…

Collaborative Knowledge Creation in the Higher Education Academic Library

ERIC Educational Resources Information Center

Lee, Young S.; Schottenfeld, Matthew A.

2014-01-01

Collaboration has become a core competency of the 21st century workforce. Thus, the need of collaboration is reshaping the academic library in higher education to produce competent future workforce. To encourage collaboration in the academic library, knowledge commons that integrate technology to infrastructure and system furniture are introduced.…

Eagle Racing: Addressing Corporate Collaboration Challenges through an Online Simulation Game

ERIC Educational Resources Information Center

Angehrn, Albert A.; Maxwell, Katrina

2009-01-01

Effective collaboration is necessary for corporation-wide learning, knowledge exchange, and innovation. However, it is difficult to create a corporate culture that encourages collaboration; the complexity of such collaboration is increased substantially by the diverse and distributed nature of knowledge sources and decision makers in the global…

Surgical data science: The new knowledge domain

PubMed Central

Vedula, S. Swaroop; Hager, Gregory D.

2017-01-01

Healthcare in general, and surgery/interventional care in particular, is evolving through rapid advances in technology and increasing complexity of care with the goal of maximizing quality and value of care. While innovations in diagnostic and therapeutic technologies have driven past improvements in quality of surgical care, future transformation in care will be enabled by data. Conventional methodologies, such as registry studies, are limited in their scope for discovery and research, extent and complexity of data, breadth of analytic techniques, and translation or integration of research findings into patient care. We foresee the emergence of Surgical/Interventional Data Science (SDS) as a key element to addressing these limitations and creating a sustainable path toward evidence-based improvement of interventional healthcare pathways. SDS will create tools to measure, model and quantify the pathways or processes within the context of patient health states or outcomes, and use information gained to inform healthcare decisions, guidelines, best practices, policy, and training, thereby improving the safety and quality of healthcare and its value. Data is pervasive throughout the surgical care pathway; thus, SDS can impact various aspects of care including prevention, diagnosis, intervention, or post-operative recovery. Existing literature already provides preliminary results suggesting how a data science approach to surgical decision-making could more accurately predict severe complications using complex data from pre-, intra-, and post-operative contexts, how it could support intra-operative decision-making using both existing knowledge and continuous data streams throughout the surgical care pathway, and how it could enable effective collaboration between human care providers and intelligent technologies. In addition, SDS is poised to play a central role in surgical education, for example, through objective assessments, automated virtual coaching, and robot-assisted active learning of surgical skill. However, the potential for transforming surgical care and training through SDS may only be realized through a cultural shift that not only institutionalizes technology to seamlessly capture data but also assimilates individuals with expertise in data science into clinical research teams. Furthermore, collaboration with industry partners from the inception of the discovery process promotes optimal design of data products as well as their efficient translation and commercialization. As surgery continues to evolve through advances in technology that enhance delivery of care, SDS represents a new knowledge domain to engineer surgical care of the future. PMID:28936475

Surgical data science: The new knowledge domain.

PubMed

Vedula, S Swaroop; Hager, Gregory D

2017-04-01

Healthcare in general, and surgery/interventional care in particular, is evolving through rapid advances in technology and increasing complexity of care with the goal of maximizing quality and value of care. While innovations in diagnostic and therapeutic technologies have driven past improvements in quality of surgical care, future transformation in care will be enabled by data. Conventional methodologies, such as registry studies, are limited in their scope for discovery and research, extent and complexity of data, breadth of analytic techniques, and translation or integration of research findings into patient care. We foresee the emergence of Surgical/Interventional Data Science (SDS) as a key element to addressing these limitations and creating a sustainable path toward evidence-based improvement of interventional healthcare pathways. SDS will create tools to measure, model and quantify the pathways or processes within the context of patient health states or outcomes, and use information gained to inform healthcare decisions, guidelines, best practices, policy, and training, thereby improving the safety and quality of healthcare and its value. Data is pervasive throughout the surgical care pathway; thus, SDS can impact various aspects of care including prevention, diagnosis, intervention, or post-operative recovery. Existing literature already provides preliminary results suggesting how a data science approach to surgical decision-making could more accurately predict severe complications using complex data from pre-, intra-, and post-operative contexts, how it could support intra-operative decision-making using both existing knowledge and continuous data streams throughout the surgical care pathway, and how it could enable effective collaboration between human care providers and intelligent technologies. In addition, SDS is poised to play a central role in surgical education, for example, through objective assessments, automated virtual coaching, and robot-assisted active learning of surgical skill. However, the potential for transforming surgical care and training through SDS may only be realized through a cultural shift that not only institutionalizes technology to seamlessly capture data but also assimilates individuals with expertise in data science into clinical research teams. Furthermore, collaboration with industry partners from the inception of the discovery process promotes optimal design of data products as well as their efficient translation and commercialization. As surgery continues to evolve through advances in technology that enhance delivery of care, SDS represents a new knowledge domain to engineer surgical care of the future.

S3QL: A distributed domain specific language for controlled semantic integration of life sciences data

PubMed Central

2011-01-01

Background The value and usefulness of data increases when it is explicitly interlinked with related data. This is the core principle of Linked Data. For life sciences researchers, harnessing the power of Linked Data to improve biological discovery is still challenged by a need to keep pace with rapidly evolving domains and requirements for collaboration and control as well as with the reference semantic web ontologies and standards. Knowledge organization systems (KOSs) can provide an abstraction for publishing biological discoveries as Linked Data without complicating transactions with contextual minutia such as provenance and access control. We have previously described the Simple Sloppy Semantic Database (S3DB) as an efficient model for creating knowledge organization systems using Linked Data best practices with explicit distinction between domain and instantiation and support for a permission control mechanism that automatically migrates between the two. In this report we present a domain specific language, the S3DB query language (S3QL), to operate on its underlying core model and facilitate management of Linked Data. Results Reflecting the data driven nature of our approach, S3QL has been implemented as an application programming interface for S3DB systems hosting biomedical data, and its syntax was subsequently generalized beyond the S3DB core model. This achievement is illustrated with the assembly of an S3QL query to manage entities from the Simple Knowledge Organization System. The illustrative use cases include gastrointestinal clinical trials, genomic characterization of cancer by The Cancer Genome Atlas (TCGA) and molecular epidemiology of infectious diseases. Conclusions S3QL was found to provide a convenient mechanism to represent context for interoperation between public and private datasets hosted at biomedical research institutions and linked data formalisms. PMID:21756325

S3QL: a distributed domain specific language for controlled semantic integration of life sciences data.

PubMed

Deus, Helena F; Correa, Miriã C; Stanislaus, Romesh; Miragaia, Maria; Maass, Wolfgang; de Lencastre, Hermínia; Fox, Ronan; Almeida, Jonas S

2011-07-14

The value and usefulness of data increases when it is explicitly interlinked with related data. This is the core principle of Linked Data. For life sciences researchers, harnessing the power of Linked Data to improve biological discovery is still challenged by a need to keep pace with rapidly evolving domains and requirements for collaboration and control as well as with the reference semantic web ontologies and standards. Knowledge organization systems (KOSs) can provide an abstraction for publishing biological discoveries as Linked Data without complicating transactions with contextual minutia such as provenance and access control.We have previously described the Simple Sloppy Semantic Database (S3DB) as an efficient model for creating knowledge organization systems using Linked Data best practices with explicit distinction between domain and instantiation and support for a permission control mechanism that automatically migrates between the two. In this report we present a domain specific language, the S3DB query language (S3QL), to operate on its underlying core model and facilitate management of Linked Data. Reflecting the data driven nature of our approach, S3QL has been implemented as an application programming interface for S3DB systems hosting biomedical data, and its syntax was subsequently generalized beyond the S3DB core model. This achievement is illustrated with the assembly of an S3QL query to manage entities from the Simple Knowledge Organization System. The illustrative use cases include gastrointestinal clinical trials, genomic characterization of cancer by The Cancer Genome Atlas (TCGA) and molecular epidemiology of infectious diseases. S3QL was found to provide a convenient mechanism to represent context for interoperation between public and private datasets hosted at biomedical research institutions and linked data formalisms.

Social and natural sciences differ in their research strategies, adapted to work for different knowledge landscapes.

PubMed

Jaffe, Klaus

2014-01-01

Do different fields of knowledge require different research strategies? A numerical model exploring different virtual knowledge landscapes, revealed two diverging optimal search strategies. Trend following is maximized when the popularity of new discoveries determine the number of individuals researching it. This strategy works best when many researchers explore few large areas of knowledge. In contrast, individuals or small groups of researchers are better in discovering small bits of information in dispersed knowledge landscapes. Bibliometric data of scientific publications showed a continuous bipolar distribution of these strategies, ranging from natural sciences, with highly cited publications in journals containing a large number of articles, to the social sciences, with rarely cited publications in many journals containing a small number of articles. The natural sciences seem to adapt their research strategies to landscapes with large concentrated knowledge clusters, whereas social sciences seem to have adapted to search in landscapes with many small isolated knowledge clusters. Similar bipolar distributions were obtained when comparing levels of insularity estimated by indicators of international collaboration and levels of country-self citations: researchers in academic areas with many journals such as social sciences, arts and humanities, were the most isolated, and that was true in different regions of the world. The work shows that quantitative measures estimating differences between academic disciplines improve our understanding of different research strategies, eventually helping interdisciplinary research and may be also help improve science policies worldwide.

Designing for Discovery Learning of Complexity Principles of Congestion by Driving Together in the TrafficJams Simulation

ERIC Educational Resources Information Center

Levy, Sharona T.; Peleg, Ran; Ofeck, Eyal; Tabor, Naamit; Dubovi, Ilana; Bluestein, Shiri; Ben-Zur, Hadar

2018-01-01

We propose and evaluate a framework supporting collaborative discovery learning of complex systems. The framework blends five design principles: (1) individual action: amidst (2) social interactions; challenged with (3) multiple tasks; set in (4) a constrained interactive learning environment that draws attention to (5) highlighted target…

Building Faculty Capacity through the Learning Sciences

ERIC Educational Resources Information Center

Moy, Elizabeth; O'Sullivan, Gerard; Terlecki, Melissa; Jernstedt, Christian

2014-01-01

Discoveries in the learning sciences (especially in neuroscience) have yielded a rich and growing body of knowledge about how students learn, yet this knowledge is only half of the story. The other half is "know how," i.e. the application of this knowledge. For faculty members, that means applying the discoveries of the learning sciences…

Bridging the translational gap: collaborative drug development and dispelling the stigma of commercialization.

PubMed

Yu, Helen W H

2016-02-01

The current drug discovery and development process is stalling the translation of basic science into lifesaving products. Known as the 'Valley of Death', the traditional technology transfer model fails to bridge the gap between early-stage discoveries and preclinical research to advance innovations beyond the discovery phase. In addition, the stigma associated with 'commercialization' detracts from the importance of efficient translation of basic research. Here, I introduce a drug discovery model whereby the respective expertise of academia and industry are brought together to take promising discoveries through to proof of concept as a way to derisk the drug discovery and development process. Known as the 'integrated drug discovery model', I examine here the extent to which existing legal frameworks support this model. Copyright © 2015 Elsevier Ltd. All rights reserved.

Engaging Scientists in Meaningful E/PO: The Universe Discovery Guides

NASA Astrophysics Data System (ADS)

Meinke, B. K.; Lawton, B.; Gurton, S.; Smith, D. A.; Manning, J. G.

2014-12-01

For the 2009 International Year of Astronomy, the then-existing NASA Origins Forum collaborated with the Astronomical Society of the Pacific (ASP) to create a series of monthly "Discovery Guides" for informal educator and amateur astronomer use in educating the public about featured sky objects and associated NASA science themes. Today's NASA Astrophysics Science Education and Public Outreach Forum (SEPOF), one of a new generation of forums coordinating the work of NASA Science Mission Directorate (SMD) EPO efforts—in collaboration with the ASP and NASA SMD missions and programs--has adapted the Discovery Guides into "evergreen" educational resources suitable for a variety of audiences. The Guides focus on "deep sky" objects and astrophysics themes (stars and stellar evolution, galaxies and the universe, and exoplanets), showcasing EPO resources from more than 30 NASA astrophysics missions and programs in a coordinated and cohesive "big picture" approach across the electromagnetic spectrum, grounded in best practices to best serve the needs of the target audiences. Each monthly guide features a theme and a representative object well-placed for viewing, with an accompanying interpretive story, finding charts, strategies for conveying the topics, and complementary supporting NASA-approved education activities and background information from a spectrum of NASA missions and programs. The Universe Discovery Guides are downloadable from the NASA Night Sky Network web site at nightsky.jpl.nasa.gov. We will share the Forum-led Collaborative's experience in developing the guides, how they place individual science discoveries and learning resources into context for audiences, and how the Guides can be readily used in scientist public outreach efforts, in college and university introductory astronomy classes, and in other engagements between scientists, students and the public.

The Universe Discovery Guides: A Collaborative Approach to Educating with NASA Science

NASA Astrophysics Data System (ADS)

Manning, Jim; Lawton, Brandon; Berendsen, Marni; Gurton, Suzanne; Smith, Denise A.; NASA SMD Astrophysics E/PO Community, The

2014-06-01

For the 2009 International Year of Astronomy, the then-existing NASA Origins Forum collaborated with the Astronomical Society of the Pacific (ASP) to create a series of monthly “Discovery Guides” for informal educator and amateur astronomer use in educating the public about featured sky objects and associated NASA science themes. Today’s NASA Astrophysics Science Education and Public Outreach Forum (SEPOF), one of a new generation of forums coordinating the work of NASA Science Mission Directorate (SMD) EPO efforts—in collaboration with the ASP and NASA SMD missions and programs--has adapted the Discovery Guides into “evergreen” educational resources suitable for a variety of audiences. The Guides focus on “deep sky” objects and astrophysics themes (stars and stellar evolution, galaxies and the universe, and exoplanets), showcasing EPO resources from more than 30 NASA astrophysics missions and programs in a coordinated and cohesive “big picture” approach across the electromagnetic spectrum, grounded in best practices to best serve the needs of the target audiences.Each monthly guide features a theme and a representative object well-placed for viewing, with an accompanying interpretive story, finding charts, strategies for conveying the topics, and complementary supporting NASA-approved education activities and background information from a spectrum of NASA missions and programs. The Universe Discovery Guides are downloadable from the NASA Night Sky Network web site at nightsky.jpl.nasa.gov.The presenter will share the Forum-led Collaborative’s experience in developing the guides, how they place individual science discoveries and learning resources into context for audiences, and how the Guides can be readily used in scientist public outreach efforts, in college and university introductory astronomy classes, and in other engagements between scientists, students and the public.

Collaborating to Compete: Achieving Effective Knowledge Sharing in Organizations

ERIC Educational Resources Information Center

Laycock, Martyn

2005-01-01

Purpose: This paper aims to present a practitioner overview of the challenges and growing strategic importance of knowledge and knowledge sharing in organizations, considering roles of learning, and in particular networks, together with collaboration in the development of sustainable competitive edge through knowledge, knowledge management and the…

Measuring and Visualizing Group Knowledge Elaboration in Online Collaborative Discussions

ERIC Educational Resources Information Center

Zheng, Yafeng; Xu, Chang; Li, Yanyan; Su, You

2018-01-01

Knowledge elaboration plays a critical role in promoting knowledge acquisition and facilitating the retention of target knowledge in online collaborative discussions. Adopting a key-term-based automated analysis approach, we proposed an indicator framework to measure the level of knowledge elaboration in terms of coverage, activation, and…

Students' Knowledge Sources and Knowledge Sharing in the Design Studio--An Exploratory Study

ERIC Educational Resources Information Center

Chiu, Sheng-Hsiao

2010-01-01

Architectural design is a knowledge-intensive activity; however, students frequently lack sufficient knowledge when they practice design. Collaborative learning can supplement the students' insufficient expertise. Successful collaborative learning relies on knowledge sharing between students. This implies that the peers are a considerable design…

DEGAS: sharing and tracking target compound ideas with external collaborators.

PubMed

Lee, Man-Ling; Aliagas, Ignacio; Dotson, Jennafer; Feng, Jianwen A; Gobbi, Alberto; Heffron, Timothy

2012-02-27

To minimize the risk of failure in clinical trials, drug discovery teams must propose active and selective clinical candidates with good physicochemical properties. An additional challenge is that today drug discovery is often conducted by teams at different geographical locations. To improve the collaborative decision making on which compounds to synthesize, we have implemented DEGAS, an application which enables scientists from Genentech and from collaborating external partners to instantly access the same data. DEGAS was implemented to ensure that only the best target compounds are made and that they are made without duplicate effort. Physicochemical properties and DMPK model predictions are computed for each compound to allow the team to make informed decisions when prioritizing. The synthesis progress can be easily tracked. While developing DEGAS, ease of use was a particular goal in order to minimize the difficulty of training and supporting remote users.

The Impact of Virtual Collaboration and Collaboration Technologies on Knowledge Transfer and Team Performance in Distributed Organizations

ERIC Educational Resources Information Center

Ngoma, Ngoma Sylvestre

2013-01-01

Virtual teams are increasingly viewed as a powerful determinant of competitive advantage in geographically distributed organizations. This study was designed to provide insights into the interdependencies between virtual collaboration, collaboration technologies, knowledge transfer, and virtual team performance in an effort to understand whether…

National Culture in Practice: Its Impact on Knowledge Sharing in Global Virtual Collaboration

ERIC Educational Resources Information Center

Wei, Kangning

2009-01-01

Issues concerning global virtual collaboration have received considerable attention in both the academic and practical world; however, little research has been conducted on knowledge-sharing activities in global virtual collaboration, which is a key process to achieve collaboration effectiveness. Due to national culture having been seen as one of…

From scientific discovery to health outcomes: A synergistic model of doctoral nursing education.

PubMed

Michael, Melanie J; Clochesy, John M

2016-05-01

Across the globe, health system leaders and stakeholder are calling for system-level reforms in education, research, and practice to accelerate the uptake and application of new knowledge in practice and to improve health care delivery and health outcomes. An evolving bi-dimensional research-practice focused model of doctoral nursing education in the U.S. is creating unprecedented opportunities for collaborative translational and investigative efforts for nurse researchers and practitioners. The nursing academy must commit to a shared goal of preparing future generations of nurse scientists and practitioners with the capacity and motivation to work together to accelerate the translation of evidence into practice in order to place nursing at the forefront of health system improvement efforts and advance the profession. Copyright © 2016 Elsevier Ltd. All rights reserved.

Mathematics in the lower primary years: A research-based perspective on curricula and teaching practice

NASA Astrophysics Data System (ADS)

Wright, Bob

1994-07-01

Drawing on current research the author explicates twelve assertions relating to curricula, teaching, learners and learning environments in lower primary school mathematics. Topics discussed include: unchanging and under-challenging curricula; the need for greater emphasis on developing children's verbal number strategies and number sense, and on activities specifically suited to prenumerical children; curriculum constraints on teachers; the role of problem solving and differing interpretations of problem solving; the need for a better understanding of how children learn mathematics; differences in children's knowledge; "anti-interventionism," discovery learning, constructivism, children's autonomy and developmental learning; the need for compensatory programs; and learning in collaborative settings. The author concludes that learning and teaching lower primary mathematics continues to be an important area of focus and challenge for teachers and researchers.

Geoinformatics 2007: data to knowledge

USGS Publications Warehouse

Brady, Shailaja R.; Sinha, A. Krishna; Gundersen, Linda C.

2007-01-01

Geoinformatics is the term used to describe a variety of efforts to promote collaboration between the computer sciences and the geosciences to solve complex scientific questions. It refers to the distributed, integrated digital information system and working environment that provides innovative means for the study of the Earth systems, as well as other planets, through use of advanced information technologies. Geoinformatics activities range from major research and development efforts creating new technologies to provide high-quality, sustained production-level services for data discovery, integration and analysis, to small, discipline-specific efforts that develop earth science data collections and data analysis tools serving the needs of individual communities. The ultimate vision of Geoinformatics is a highly interconnected data system populated with high quality, freely available data, as well as, a robust set of software for analysis, visualization, and modeling.

Challenges in Drug Discovery for Neurofibromatosis Type 1-Associated Low-Grade Glioma

PubMed Central

Ricker, Cora A.; Pan, Yuan; Gutmann, David H.; Keller, Charles

2016-01-01

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder that results from germline mutations of the NF1 gene, creating a predisposition to low-grade gliomas (LGGs; pilocytic astrocytoma) in young children. Insufficient data and resources represent major challenges to identifying the best possible drug therapies for children with this tumor. Herein, we summarize the currently available cell lines, genetically engineered mouse models, and therapeutic targets for these LGGs. Conspicuously absent are human tumor-derived cell lines or patient-derived xenograft models for NF1-LGG. New collaborative initiatives between patients and their families, research groups, and pharmaceutical companies are needed to create transformative resources and broaden the knowledge base relevant to identifying cooperating genetic drivers and possible drug therapeutics for this common pediatric brain tumor. PMID:28066715

An informatics research agenda to support precision medicine: seven key areas

PubMed Central

Avillach, Paul; Benham-Hutchins, Marge; Breitenstein, Matthew K; Crowgey, Erin L; Hoffman, Mark A; Jiang, Xia; Madhavan, Subha; Mattison, John E; Nagarajan, Radhakrishnan; Ray, Bisakha; Shin, Dmitriy; Visweswaran, Shyam; Zhao, Zhongming; Freimuth, Robert R

2016-01-01

The recent announcement of the Precision Medicine Initiative by President Obama has brought precision medicine (PM) to the forefront for healthcare providers, researchers, regulators, innovators, and funders alike. As technologies continue to evolve and datasets grow in magnitude, a strong computational infrastructure will be essential to realize PM’s vision of improved healthcare derived from personal data. In addition, informatics research and innovation affords a tremendous opportunity to drive the science underlying PM. The informatics community must lead the development of technologies and methodologies that will increase the discovery and application of biomedical knowledge through close collaboration between researchers, clinicians, and patients. This perspective highlights seven key areas that are in need of further informatics research and innovation to support the realization of PM. PMID:27107452

The Cognitive Processes Used in Team Collaboration During Asynchronous, Distributed Decision Making

DTIC Science & Technology

2004-06-01

Transfer Conventions (IPtcp) IP: Solution Alternatives (IPsa) KB: Collaborative Knowledge (KBck) KB: Shared Understanding ( KBsu ) KB: Domain...Gill.” KBsu : Knowledge Building (shared understanding) = using facts to justify a solution. “I think Eddie did it because he was hard of hearing...KB: Collaborative Knowledge (KBck) KB: Shared Understanding ( KBsu ) KB: Domain Expertise (IPde) * * ** ** ** = significant Results 15

Informatics for neglected diseases collaborations.

PubMed

Bost, Frederic; Jacobs, Robert T; Kowalczyk, Paul

2010-05-01

Many different public and private organizations from across the globe are collaborating on neglected diseases drug-discovery and development projects with the aim of identifying a cure for tropical infectious diseases. These neglected diseases collaborations require a global, secure, multi-organization data-management solution, combined with a platform that facilitates communication and supports collaborative work. This review discusses the solutions offered by 'Software as a Service' (SaaS) web-based platforms, despite notable challenges, and the evolution of these platforms required to foster efficient virtual research efforts by geographically dispersed scientists.

The Effect of Rules and Discovery in the Retention and Retrieval of Braille Inkprint Letter Pairs.

ERIC Educational Resources Information Center

Nagengast, Daniel L.; And Others

The effects of rule knowledge were investigated using Braille inkprint pairs. Both recognition and recall were studied in three groups of subjects: rule knowledge, rule discovery, and no rule. Two hypotheses were tested: (1) that the group exposed to the rule would score better than would a discovery group and a control group; and (2) that all…

Concept Similarity in Publications Precedes Cross-disciplinary Collaboration

PubMed Central

Post, Andrew R.; Harrison, James H.

2008-01-01

Innovative science frequently occurs as a result of cross-disciplinary collaboration, the importance of which is reflected by recent NIH funding initiatives that promote communication and collaboration. If shared research interests between collaborators are important for the formation of collaborations, methods for identifying these shared interests across scientific domains could potentially reveal new and useful collaboration opportunities. MEDLINE represents a comprehensive database of collaborations and research interests, as reflected by article co-authors and concept content. We analyzed six years of citations using information retrieval-based methods to compute articles’ conceptual similarity, and found that articles by basic and clinical scientists who later collaborated had significantly higher average similarity than articles by similar scientists who did not collaborate. Refinement of these methods and characterization of found conceptual overlaps could allow automated discovery of collaboration opportunities that are currently missed. PMID:18999254

Concept similarity in publications precedes cross-disciplinary collaboration.

PubMed

Post, Andrew R; Harrison, James H

2008-11-06

Innovative science frequently occurs as a result of cross-disciplinary collaboration, the importance of which is reflected by recent NIH funding initiatives that promote communication and collaboration. If shared research interests between collaborators are important for the formation of collaborations,methods for identifying these shared interests across scientific domains could potentially reveal new and useful collaboration opportunities. MEDLINE represents a comprehensive database of collaborations and research interests, as reflected by article co-authors and concept content. We analyzed six years of citations using information retrieval based methods to compute articles conceptual similarity, and found that articles by basic and clinical scientists who later collaborated had significantly higher average similarity than articles by similar scientists who did not collaborate.Refinement of these methods and characterization of found conceptual overlaps could allow automated discovery of collaboration opportunities that are currently missed.

Knowledge-Based Topic Model for Unsupervised Object Discovery and Localization.

PubMed

Niu, Zhenxing; Hua, Gang; Wang, Le; Gao, Xinbo

Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models, such as latent Dirichlet allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery. In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic modeling for object discovery. In particular, to better deal with the polysemy phenomenon of visual words, the must-link is re-defined as that one must-link only constrains one or some topic(s) instead of all topics, which leads to significantly improved topic coherence. Moreover, the must-links are built and grouped with respect to specific object classes, thus the must-links in our approach are semantic-specific , which allows to more efficiently exploit discriminative prior knowledge from Web images. Extensive experiments validated the efficiency of our proposed approach on several data sets. It is shown that our method significantly improves topic coherence and outperforms the unsupervised methods for object discovery and localization. In addition, compared with discriminative methods, the naturally existing object classes in the given image collection can be subtly discovered, which makes our approach well suited for realistic applications of unsupervised object discovery.Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models, such as latent Dirichlet allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery. In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic modeling for object discovery. In particular, to better deal with the polysemy phenomenon of visual words, the must-link is re-defined as that one must-link only constrains one or some topic(s) instead of all topics, which leads to significantly improved topic coherence. Moreover, the must-links are built and grouped with respect to specific object classes, thus the must-links in our approach are semantic-specific , which allows to more efficiently exploit discriminative prior knowledge from Web images. Extensive experiments validated the efficiency of our proposed approach on several data sets. It is shown that our method significantly improves topic coherence and outperforms the unsupervised methods for object discovery and localization. In addition, compared with discriminative methods, the naturally existing object classes in the given image collection can be subtly discovered, which makes our approach well suited for realistic applications of unsupervised object discovery.

Designing the RiverCare knowledge base and web-collaborative platform to exchange knowledge in river management

NASA Astrophysics Data System (ADS)

Cortes Arevalo, Juliette; den Haan, Robert-Jan; van der Voort, Mascha; Hulscher, Suzanne

2016-04-01

Effective communication strategies are necessary between different scientific disciplines, practitioners and non-experts for a shared understanding and better implementation of river management measures. In that context, the RiverCare program aims to get a better understanding of riverine measures that are being implemented towards self-sustaining multifunctional rivers in the Netherlands. During the RiverCare program, user committees are organized between the researchers and practitioners to discuss the aim and value of RiverCare outputs, related assumptions and uncertainties behind scientific results. Beyond the RiverCare program end, knowledge about river interventions, integrated effects, management and self-sustaining applications will be available to experts and non-experts by means of River Care communication tools: A web-collaborative platform and a serious gaming environment. As part of the communication project of RiverCare, we are designing the RiverCare web-collaborative platform and the knowledge-base behind that platform. We aim at promoting collaborative efforts and knowledge exchange in river management. However, knowledge exchange does not magically happen. Consultation and discussion of RiverCare outputs as well as elicitation of perspectives and preferences from different actors about the effects of riverine measures has to be facilitated. During the RiverCare research activities, the platform will support the user committees or collaborative sessions that are regularly held with the organizations directly benefiting from our research, at project level or in study areas. The design process of the collaborative platform follows an user centred approach to identify user requirements, co-create a conceptual design and iterative develop and evaluate prototypes of the platform. The envisioned web-collaborative platform opens with an explanation and visualisation of the RiverCare outputs that are available in the knowledge base. Collaborative sessions are initiated by one facilitator that invites other users to contribute by agreeing on an objective for the session and ways and period of collaboration. Upon login, users can join the different sessions that they are invited or will be willing to participate. Within these sessions, users collaboratively engage on the topic at hand, acquiring knowledge about the ongoing results of RiverCare, sharing knowledge between actors and co-constructing new knowledge in the process as input for RiverCare research activities. An overview of each session will be presented to registered and non-registered users to document collaboration efforts and promote interaction with actors outside RiverCare. At the user requirements analysis stage of the collaborative platform, a questionnaire and workshop session was launched to uncover the end user's preferences and expectations about the tool to be designed. Results comprised insights about design criteria of the collaborative platform. The user requirements will be followed by interview sessions with RiverCare researchers and user committee members to identify considerations for data management, objectives of collaboration, expected outputs and indicators to evaluate the collaborative platform. On one side, considerations of intended users are important for co-designing tools that effectively communicate and promote a shared understanding of scientific outputs. On the other one, active involvement of end-users is important for the establishment of measurable indicators to evaluate the tool and the collaborative process.

PictureAustralia--Participating in a Collaborative Digital Project.

ERIC Educational Resources Information Center

Campbell, Deborah

The PictureAustralia service is a collaboration between cultural agencies to bring their digital pictorial collections together at the one web site, hosted by the National Library of Australia. It was developed through the identification of a need for a national image discovery service. The key to the service is its cross-sectoral nature,…

[Strategy and collaboration between medicinal chemists and pharmaceutical scientists for drug delivery systems].

PubMed

Mano, Takashi

2013-01-01

In order to successfully apply drug delivery systems (DDS) to new chemical entities (NCEs), collaboration between medicinal chemists and formulation scientists is critical for efficient drug discovery. Formulation scientists have to use 'language' that medicinal chemists understand to help promote mutual understanding, and medicinal chemists and formulation scientists have to set up strategies to use suitable DDS technologies at the discovery phase of the programmes to ensure successful transfer into the development phase. In this review, strategies of solubilisation formulation for oral delivery, inhalation delivery, nasal delivery and bioconjugation are all discussed. For example, for oral drug delivery, multiple initiatives can be proposed to improve the process to select an optimal delivery option for an NCE. From a technical perspective, formulation scientists have to explain the scope and limitations of formulations as some DDS technologies might be applicable only to limited chemical spaces. Other limitations could be the administered dose and, cost, time and resources for formulation development and manufacturing. Since DDS selection is best placed as part of lead-optimisation, formulation scientists need to be involved in discovery projects at lead selection and optimisation stages. The key to success in their collaboration is to facilitate communication between these two areas of expertise at both a strategic and scientific level. Also, it would be beneficial for medicinal chemists and formulation scientists to set common goals to improve the process of collaboration and build long term partnerships to improve DDS.

Preservice Science Teachers' Collaborative Knowledge Building through Argumentation on Healthy Eating in a Computer Supported Collaborative Learning Environment

ERIC Educational Resources Information Center

Namdar, Bahadir

2017-01-01

The purpose of this study was to investigate preservice science teachers' collaborative knowledge building through socioscientific argumentation on healthy eating in a multiple representation-rich computer supported collaborative learning (CSCL) environment. This study was conducted with a group of preservice science teachers (n = 18) enrolled in…

Radiation Detection Material Discovery Initiative at PNNL

NASA Astrophysics Data System (ADS)

Milbrath, Brian

2006-05-01

Today's security threats are being met with 30-year old radiation technology. Discovery of new radiation detection materials is currently a slow and Edisonian process. With heightened concerns over nuclear proliferation, terrorism and unconventional warfare, an alternative strategy for identification and development of potential radiation detection materials must be adopted. Through the Radiation Detection Materials Discovery Initiative, PNNL focuses on the science-based discovery of next generation materials for radiation detection by addressing three ``grand challenges'': fundamental understanding of radiation detection, identification of new materials, and accelerating the discovery process. The new initiative has eight projects addressing these challenges, which will be described, including early work, paths forward and the opportunities for collaboration.

Enabling Security, Stability, Transition, and Reconstruction Operations through Knowledge Management

DTIC Science & Technology

2009-03-18

strategy. Overall, the cultural barriers to knowledge sharing center on knowledge creation and capture. The primary barrier to knowledge sharing is lack ... Lacking a shared identity decreases the likelihood of knowledge sharing, which is essential to effective collaboration.84 Related to collaboration...to adapt, develop, and change based on experience-derived knowledge.90 A second cultural barrier to knowledge acquisition is the lack receptiveness

The discovery of the appearance of νμ - ντ oscillations

NASA Astrophysics Data System (ADS)

Ereditato, Antonio

2016-07-01

Almost 20 years after the first conceptual design of the experiment, five years of running in the Gran Sasso underground laboratory (LNGS), and billions of billions muon-neutrinos sent from CERN along the CNGS beam, in 2015 the OPERA neutrino detector has allowed the long-awaited discovery of the direct transformation (oscillation) of muon-neutrinos into tau-neutrinos. This result unambiguously confirms the interpretation of the so-called atmospheric channel, after the discovery of neutrino oscillations by the Super-Kamiokande Collaboration in 1998.

Concept Formation in Scientific Knowledge Discovery from a Constructivist View

NASA Astrophysics Data System (ADS)

Peng, Wei; Gero, John S.

The central goal of scientific knowledge discovery is to learn cause-effect relationships among natural phenomena presented as variables and the consequences their interactions. Scientific knowledge is normally expressed as scientific taxonomies and qualitative and quantitative laws [1]. This type of knowledge represents intrinsic regularities of the observed phenomena that can be used to explain and predict behaviors of the phenomena. It is a generalization that is abstracted and externalized from a set of contexts and applicable to a broader scope. Scientific knowledge is a type of third-person knowledge, i.e., knowledge that independent of a specific enquirer. Artificial intelligence approaches, particularly data mining algorithms that are used to identify meaningful patterns from large data sets, are approaches that aim to facilitate the knowledge discovery process [2]. A broad spectrum of algorithms has been developed in addressing classification, associative learning, and clustering problems. However, their linkages to people who use them have not been adequately explored. Issues in relation to supporting the interpretation of the patterns, the application of prior knowledge to the data mining process and addressing user interactions remain challenges for building knowledge discovery tools [3]. As a consequence, scientists rely on their experience to formulate problems, evaluate hypotheses, reason about untraceable factors and derive new problems. This type of knowledge which they have developed during their career is called “first-person” knowledge. The formation of scientific knowledge (third-person knowledge) is highly influenced by the enquirer’s first-person knowledge construct, which is a result of his or her interactions with the environment. There have been attempts to craft automatic knowledge discovery tools but these systems are limited in their capabilities to handle the dynamics of personal experience. There are now trends in developing approaches to assist scientists applying their expertise to model formation, simulation, and prediction in various domains [4], [5]. On the other hand, first-person knowledge becomes third-person theory only if it proves general by evidence and is acknowledged by a scientific community. Researchers start to focus on building interactive cooperation platforms [1] to accommodate different views into the knowledge discovery process. There are some fundamental questions in relation to scientific knowledge development. What aremajor components for knowledge construction and how do people construct their knowledge? How is this personal construct assimilated and accommodated into a scientific paradigm? How can one design a computational system to facilitate these processes? This chapter does not attempt to answer all these questions but serves as a basis to foster thinking along this line. A brief literature review about how people develop their knowledge is carried out through a constructivist view. A hydrological modeling scenario is presented to elucidate the approach.

Concept Formation in Scientific Knowledge Discovery from a Constructivist View

NASA Astrophysics Data System (ADS)

Peng, Wei; Gero, John S.

The central goal of scientific knowledge discovery is to learn cause-effect relationships among natural phenomena presented as variables and the consequences their interactions. Scientific knowledge is normally expressed as scientific taxonomies and qualitative and quantitative laws [1]. This type of knowledge represents intrinsic regularities of the observed phenomena that can be used to explain and predict behaviors of the phenomena. It is a generalization that is abstracted and externalized from a set of contexts and applicable to a broader scope. Scientific knowledge is a type of third-person knowledge, i.e., knowledge that independent of a specific enquirer. Artificial intelligence approaches, particularly data mining algorithms that are used to identify meaningful patterns from large data sets, are approaches that aim to facilitate the knowledge discovery process [2]. A broad spectrum of algorithms has been developed in addressing classification, associative learning, and clustering problems. However, their linkages to people who use them have not been adequately explored. Issues in relation to supporting the interpretation of the patterns, the application of prior knowledge to the data mining process and addressing user interactions remain challenges for building knowledge discovery tools [3]. As a consequence, scientists rely on their experience to formulate problems, evaluate hypotheses, reason about untraceable factors and derive new problems. This type of knowledge which they have developed during their career is called "first-person" knowledge. The formation of scientific knowledge (third-person knowledge) is highly influenced by the enquirer's first-person knowledge construct, which is a result of his or her interactions with the environment. There have been attempts to craft automatic knowledge discovery tools but these systems are limited in their capabilities to handle the dynamics of personal experience. There are now trends in developing approaches to assist scientists applying their expertise to model formation, simulation, and prediction in various domains [4], [5]. On the other hand, first-person knowledge becomes third-person theory only if it proves general by evidence and is acknowledged by a scientific community. Researchers start to focus on building interactive cooperation platforms [1] to accommodate different views into the knowledge discovery process. There are some fundamental questions in relation to scientific knowledge development. What aremajor components for knowledge construction and how do people construct their knowledge? How is this personal construct assimilated and accommodated into a scientific paradigm? How can one design a computational system to facilitate these processes? This chapter does not attempt to answer all these questions but serves as a basis to foster thinking along this line. A brief literature review about how people develop their knowledge is carried out through a constructivist view. A hydrological modeling scenario is presented to elucidate the approach.

The University of Kansas High-Throughput Screening Laboratory. Part II: enabling collaborative drug-discovery partnerships through cutting-edge screening technology.

PubMed

McDonald, Peter R; Roy, Anuradha; Chaguturu, Rathnam

2011-07-01

The University of Kansas High-Throughput Screening (KU HTS) core is a state-of-the-art drug-discovery facility with an entrepreneurial open-service policy, which provides centralized resources supporting public- and private-sector research initiatives. The KU HTS core was established in 2002 at the University of Kansas with support from an NIH grant and the state of Kansas. It collaborates with investigators from national and international academic, nonprofit and pharmaceutical organizations in executing HTS-ready assay development and screening of chemical libraries for target validation, probe selection, hit identification and lead optimization. This is part two of a contribution from the KU HTS laboratory.

Knowledge Discovery and Data Mining: An Overview

NASA Technical Reports Server (NTRS)

Fayyad, U.

1995-01-01

The process of knowledge discovery and data mining is the process of information extraction from very large databases. Its importance is described along with several techniques and considerations for selecting the most appropriate technique for extracting information from a particular data set.

12 CFR 263.53 - Discovery depositions.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Discovery depositions. 263.53 Section 263.53... Discovery depositions. (a) In general. In addition to the discovery permitted in subpart A of this part, limited discovery by means of depositions shall be allowed for individuals with knowledge of facts...

12 CFR 263.53 - Discovery depositions.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Discovery depositions. 263.53 Section 263.53... Discovery depositions. (a) In general. In addition to the discovery permitted in subpart A of this part, limited discovery by means of depositions shall be allowed for individuals with knowledge of facts...

Collaborative Knowledge and Intellectual Property: An Action Learning Conundrum

ERIC Educational Resources Information Center

Elliott, Tish; Pedler, Mike

2018-01-01

If everyone is contributing, if action learning involves collective learning, then new knowledge is created through a collaborative process. This is not expert knowledge and no 'one truth' is produced, this is a collective knowledge arising from a common purpose and a shared quest. Such knowledge continues to evolve without the intention to fix or…

A "Knowledge Trading Game" for Collaborative Design Learning in an Architectural Design Studio

ERIC Educational Resources Information Center

Wang, Wan-Ling; Shih, Shen-Guan; Chien, Sheng-Fen

2010-01-01

Knowledge-sharing and resource exchange are the key to the success of collaborative design learning. In an architectural design studio, design knowledge entails learning efforts that need to accumulate and recombine dispersed and complementary pieces of knowledge. In this research, firstly, "Knowledge Trading Game" is proposed to be a way for…

An integrative model for in-silico clinical-genomics discovery science.

PubMed

Lussier, Yves A; Sarkar, Indra Nell; Cantor, Michael

2002-01-01

Human Genome discovery research has set the pace for Post-Genomic Discovery Research. While post-genomic fields focused at the molecular level are intensively pursued, little effort is being deployed in the later stages of molecular medicine discovery research, such as clinical-genomics. The objective of this study is to demonstrate the relevance and significance of integrating mainstream clinical informatics decision support systems to current bioinformatics genomic discovery science. This paper is a feasibility study of an original model enabling novel "in-silico" clinical-genomic discovery science and that demonstrates its feasibility. This model is designed to mediate queries among clinical and genomic knowledge bases with relevant bioinformatic analytic tools (e.g. gene clustering). Briefly, trait-disease-gene relationships were successfully illustrated using QMR, OMIM, SNOMED-RT, GeneCluster and TreeView. The analyses were visualized as two-dimensional dendrograms of clinical observations clustered around genes. To our knowledge, this is the first study using knowledge bases of clinical decision support systems for genomic discovery. Although this study is a proof of principle, it provides a framework for the development of clinical decision-support-system driven, high-throughput clinical-genomic technologies which could potentially unveil significant high-level functions of genes.

Collaborative Instructional Strategies to Enhance Knowledge Convergence

ERIC Educational Resources Information Center

Draper, Darryl C.

2015-01-01

To promote knowledge convergence through collaborative learning activities in groups, this qualitative case study involved a layered approach for the design and delivery of a highly collaborative learning environment incorporating various instructional technologies grounded in learning theory. In a graduate-level instructional technology course,…

Facilitating Learning in Multidisciplinary Groups with Transactive CSCL Scripts

ERIC Educational Resources Information Center

Noroozi, Omid; Teasley, Stephanie D.; Biemans, Harm J. A.; Weinberger, Armin; Mulder, Martin

2013-01-01

Knowledge sharing and transfer are essential for learning in groups, especially when group members have different disciplinary expertise and collaborate online. Computer-Supported Collaborative Learning (CSCL) environments have been designed to facilitate transactive knowledge sharing and transfer in collaborative problem-solving settings. This…

Passing the Bubble: Cognitive Efficiency of Augmented Video for Collaborative Transfer of Situational Understanding

DTIC Science & Technology

2003-01-01

media factors affecting: • Shared Understanding – explicit and operational knowledge • Decision-Making – what information format best helps decision...Passing the Bubble: Cognitive Efficiency of Augmented Video for Collaborative Transfer of Situational Understanding Collaboration and Knowledge ...operational knowledge ? • Informed Decision-Making – what information format is best to pass the bubble to a decision-maker 1/14/2003 ONR David Kirsh

Knowledge translation and interprofessional collaboration: Where the rubber of evidence-based care hits the road of teamwork.

PubMed

Zwarenstein, Merrick; Reeves, Scott

2006-01-01

Knowledge-translation interventions and interprofessional education and collaboration interventions all aim at improving health care processes and outcomes. Knowledge-translation interventions attempt to increase evidence-based practice by a single professional group and thus may fail to take into account barriers from difficulties in interprofessional relations. Interprofessional education and collaboration interventions aim to improve interprofessional relations, which may in turn facilitate the work of knowledge translation and thus evidence-based practice. We summarize systematic review work on the effects of interventions for interprofessional education and collaboration. The current evidence base contains mainly descriptive studies of these interventions. Knowledge is limited regarding the impact on care and outcomes and the extent to which the interventions increase the practice of evidence-based care. Rigorous multimethod research studies are needed to develop and strengthen the current evidence base in this field. We describe a Health Canada-funded randomized trial in which quantitative and qualitative data will be gathered in 20 general internal medicine units located at 5 Toronto, Ontario, teaching hospitals. The project examines the impact of interprofessional education and collaboration interventions on interprofessional relationships, health care processes (including evidence-based practice), and patient outcomes. Routes are suggested by which interprofessional education and collaboration interventions might affect knowledge translation and evidence-based practice.

Data Mining.

ERIC Educational Resources Information Center

Benoit, Gerald

2002-01-01

Discusses data mining (DM) and knowledge discovery in databases (KDD), taking the view that KDD is the larger view of the entire process, with DM emphasizing the cleaning, warehousing, mining, and visualization of knowledge discovery in databases. Highlights include algorithms; users; the Internet; text mining; and information extraction.…

Knowledge Innovation System: The Common Language.

ERIC Educational Resources Information Center

Rogers, Debra M. Amidon

1993-01-01

The Knowledge Innovation System is a management technique in which a networked enterprise uses knowledge flow as a collaborative advantage. Enterprise Management System-Architecture, which can be applied to collaborative activities, has five domains: economic, sociological, psychological, managerial, and technological. (SK)

Student Learning Centre (SLC) Embraces the New Melbourne Model of Teaching: Facilitating Collaborative Learning

ERIC Educational Resources Information Center

Ball, Sarah

2010-01-01

Learning is about discovery and change. As schools and universities look to the future, it is fundamental that they provide environments that facilitate collaborative learning and act as points for interaction and social activity. The redevelopment of the existing Engineering Library into a Student Learning Centre (SLC) embraces the new Melbourne…

21st Annual Spring Research Festival Highlights Science, Celebrates Collaboration | Poster

Cancer.gov

For two days at the annual Spring Research Festival, Fort Detrick was abuzz with scientific discussion as researchers and visitors from the site’s many resident government agencies and contractors gathered to share findings and recognize collaborative research. Each year, the festival focuses on intermural scientific work, as well as challenges and discoveries in the fight

Knowledge discovery about quality of life changes of spinal cord injury patients: clustering based on rules by states.

PubMed

Gibert, Karina; García-Rudolph, Alejandro; Curcoll, Lluïsa; Soler, Dolors; Pla, Laura; Tormos, José María

2009-01-01

In this paper, an integral Knowledge Discovery Methodology, named Clustering based on rules by States, which incorporates artificial intelligence (AI) and statistical methods as well as interpretation-oriented tools, is used for extracting knowledge patterns about the evolution over time of the Quality of Life (QoL) of patients with Spinal Cord Injury. The methodology incorporates the interaction with experts as a crucial element with the clustering methodology to guarantee usefulness of the results. Four typical patterns are discovered by taking into account prior expert knowledge. Several hypotheses are elaborated about the reasons for psychological distress or decreases in QoL of patients over time. The knowledge discovery from data (KDD) approach turns out, once again, to be a suitable formal framework for handling multidimensional complexity of the health domains.

Practices and Strategies of Distributed Knowledge Collaboration

ERIC Educational Resources Information Center

Kudaravalli, Srinivas

2010-01-01

Information Technology is enabling large-scale, distributed collaboration across many different kinds of boundaries. Researchers have used the label new organizational forms to describe such collaborations and suggested that they are better able to meet the demands of flexibility, speed and adaptability that characterize the knowledge economy.…

Competitive intelligence and patent analysis in drug discovery.

PubMed

Grandjean, Nicolas; Charpiot, Brigitte; Pena, Carlos Andres; Peitsch, Manuel C

2005-01-01

Patents are a major source of information in drug discovery and, when properly processed and analyzed, can yield a wealth of information on competitors activities, R&D trends, emerging fields, collaborations, among others. This review discusses the current state-of-the-art in textual data analysis and exploration methods as applied to patent analysis.: © 2005 Elsevier Ltd . All rights reserved.

Knowledge management is new competitive edge.

PubMed

Johnson, D E

1998-07-01

Managing knowledge is emerging as the latest business strategy to get ahead of the competition. In the process of developing knowledge management systems, executives are increasing their awareness and understanding of organizational dynamics, collaboration, corporate learning and knowledge management technology. But Donald E.L. Johnson writes that health care executives must buy into and understand collaboration and corporate learning before they tackle knowledge management.

Building A Collaborative And Distributed E&O Program For EarthScope

NASA Astrophysics Data System (ADS)

Hall-Wallace, M. K.; Boyd, T.; Richard, G.; Ellins, K.; Meertens, C.; Semken, S.; Taber, J.; Benthien, M.; Wald, L.; Marvinney, R.

2003-12-01

EarthScope's education and outreach (E&O) mission is to ensure that the EarthScope experiment creates as its legacy a public more knowledgeable and understanding of the scientific and societal contributions made by the EarthScope experiment and Earth science. It will fulfill this commitment by developing and disseminating programs and products that utilize the data, models, technology and discoveries of EarthScope. The EarthScope Education and Outreach Network (EON), consisting of local EON alliances, the EarthScope facilities, partner organizations and a coordinating office, will facilitate this E&O mission. The local EON alliances, which will vary in size and purpose to respond quickly and to meet the specific needs in a region, will carry out the bulk of the effort. Thus, EarthScope EON can provide customized services that engage culturally, economically and geographically diverse audiences at the national and local scales. The EarthScope facilities and research community will provide access to data, models, and visualization tools for educational purposes. Partnerships with other national and local science education and outreach programs at colleges, universities, research facilities and professional societies within the EarthScope community as well as relevant programs at museums and parks, state geologic surveys and emergency management agencies, and K-12 schools are critical to EON's success. These partnerships will allow EON to use existing resources, networks and expertise to gear up quickly and efficiently. As EON develops, it will reciprocate by contributing new resources and expertise to the partnerships that help improve public understanding of Earth systems overall and promote effective application of EarthScope discoveries. In this presentation, we will outline major programs and products envisioned for EarthScope, plans for evaluating those programs locally and nationally, and mechanisms for collaborating with existing E&O programs.

Midway Through IYA2009 In Canada: Experiences, Past, Present And Future

NASA Astrophysics Data System (ADS)

Hesser, James E.; Bartlett, C.; Breland, K.; Hay, K.; Lane, D.; Lacasse, R.; Lemay, D.; Langill, P.; Percy, J.; Welch, D. L.; Woodsworth, A.

2009-05-01

Since our 'soft launch' in early January, tens of thousands of Canadians have experienced a 'Galileo Moment' of personal astronomical discovery through participation in one of our diverse set of activities, with opportunities for new activities and partnerships continuing to arise. Braving the cold of the Canadian winter, amateur and professional astronomers and educators have provided many well attended, traditional star-gazing opportunities. A beautiful animated video of the Mi'kmaq story of 'Muin and the Seven Bird Hunters' connecting circumpolar motion and the seasons has been published on www.astronomy2009.ca with narration in English, French or Mi'kmaq to showcase our vision for increased collaboration with Canadian Indigenous communities to preserve and share their knowledge of the skies. Links with the arts and cultural communities have produced numerous wildly successful, non-traditional opportunities to engage children as well as adults in astronomy discovery. Canadian planetaria premiered their 'Galileo Live!' production this spring. Two Canadian postal stamps featuring iconic observatory domes (Plaskett, CFHT) against striking nebular images from CFHT were issued during 100 Hours of Astronomy. Materials (such as Astronomy Trading Cards, Star Finders, and a light-pollution story for young children) developed for education and public outreach by volunteers from the amateur communities are distributed at all such events, where they are being exceptionally well received. New developments and collaborators continue to emerge, e.g., Canada's Parks Day in July is focusing on IYA. At the nominal 2009 mid-point we are in the midst of delivering literally thousands of events throughout Canada. Concurrently we also continue working with Canadian educators, Aboriginal communities, parks, and others to secure legacy programs that will ensure that IYA benefits extend far beyond 2009.

The KMAT: Benchmarking Knowledge Management.

ERIC Educational Resources Information Center

de Jager, Martha

Provides an overview of knowledge management and benchmarking, including the benefits and methods of benchmarking (e.g., competitive, cooperative, collaborative, and internal benchmarking). Arthur Andersen's KMAT (Knowledge Management Assessment Tool) is described. The KMAT is a collaborative benchmarking tool, designed to help organizations make…

Discovery of Benzofuran Derivatives that Collaborate with Insulin-Like Growth Factor 1 (IGF-1) to Promote Neuroprotection.

PubMed

Wakabayashi, Takeshi; Tokunaga, Norihito; Tokumaru, Kazuyuki; Ohra, Taiichi; Koyama, Nobuyuki; Hayashi, Satoru; Yamada, Ryuji; Shirasaki, Mikio; Inui, Yoshitaka; Tsukamoto, Tetsuya

2016-05-26

A series of benzofuran derivatives with neuroprotective activity in collaboration with IGF-1 was discovered using a newly developed cell-based assay involving primary neural cells prepared from rat hippocampal and cerebral cortical tissues. A structure-activity relationship study identified compound 8 as exhibiting potent activity and brain penetrability. An in vitro pharmacological study demonstrated that although IGF-1 and 8 individually exhibited the neuroprotective effect, the latter acted in collaboration with IGF-1 to enhance neuroprotective activity.

Collaborative Learning Using a Project across Multiple Business Courses: A Cognitive Load and Knowledge Convergence Approach

ERIC Educational Resources Information Center

Bhowmick, Sandeep; Chandra, Aruna; Harper, Jeffrey S.; Sweetin, Vernon

2015-01-01

Four business professors at a state university in the Midwestern United States launched a collaborative learning project grounded in cognitive learning theory and knowledge convergence theory with the objective of assessing student learning gains in cross-functional knowledge (CFK), course-related knowledge (CRK), and overall satisfaction with…

CUAHSI Data Services: Tools and Cyberinfrastructure for Water Data Discovery, Research and Collaboration

NASA Astrophysics Data System (ADS)

Seul, M.; Brazil, L.; Castronova, A. M.

2017-12-01

CUAHSI Data Services: Tools and Cyberinfrastructure for Water Data Discovery, Research and CollaborationEnabling research surrounding interdisciplinary topics often requires a combination of finding, managing, and analyzing large data sets and models from multiple sources. This challenge has led the National Science Foundation to make strategic investments in developing community data tools and cyberinfrastructure that focus on water data, as it is central need for many of these research topics. CUAHSI (The Consortium of Universities for the Advancement of Hydrologic Science, Inc.) is a non-profit organization funded by the National Science Foundation to aid students, researchers, and educators in using and managing data and models to support research and education in the water sciences. This presentation will focus on open-source CUAHSI-supported tools that enable enhanced data discovery online using advanced searching capabilities and computational analysis run in virtual environments pre-designed for educators and scientists so they can focus their efforts on data analysis rather than IT set-up.

Development of Korean Rare Disease Knowledge Base

PubMed Central

Seo, Heewon; Kim, Dokyoon; Chae, Jong-Hee; Kang, Hee Gyung; Lim, Byung Chan; Cheong, Hae Il

2012-01-01

Objectives Rare disease research requires a broad range of disease-related information for the discovery of causes of genetic disorders that are maladies caused by abnormalities in genes or chromosomes. A rarity in cases makes it difficult for researchers to elucidate definite inception. This knowledge base will be a major resource not only for clinicians, but also for the general public, who are unable to find consistent information on rare diseases in a single location. Methods We design a compact database schema for faster querying; its structure is optimized to store heterogeneous data sources. Then, clinicians at Seoul National University Hospital (SNUH) review and revise those resources. Additionally, we integrated other sources to capture genomic resources and clinical trials in detail on the Korean Rare Disease Knowledge base (KRDK). Results As a result, we have developed a Web-based knowledge base, KRDK, suitable for study of Mendelian diseases that commonly occur among Koreans. This knowledge base is comprised of disease summary and review, causal gene list, laboratory and clinic directory, patient registry, and so on. Furthermore, database for analyzing and giving access to human biological information and the clinical trial management system are integrated on KRDK. Conclusions We expect that KRDK, the first rare disease knowledge base in Korea, may contribute to collaborative research and be a reliable reference for application to clinical trials. Additionally, this knowledge base is ready for querying of drug information so that visitors can search a list of rare diseases that is relative to specific drugs. Visitors can have access to KRDK via http://www.snubi.org/software/raredisease/. PMID:23346478

Ubiquitous Mobile Knowledge Construction in Collaborative Learning Environments

PubMed Central

Baloian, Nelson; Zurita, Gustavo

2012-01-01

Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs). PMID:22969333

Ubiquitous mobile knowledge construction in collaborative learning environments.

PubMed

Baloian, Nelson; Zurita, Gustavo

2012-01-01

Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs).

What Does Wiki Reveal about the Knowledge Processing Strategies of School Pupils? Seventh-Graders as Users of Wiki and Processors of Knowledge in a Collaborative Writing Project

ERIC Educational Resources Information Center

Ahlholm, Maria; Grünthal, Satu; Harjunen, Elina

2017-01-01

On the basis of one teaching project carried out in a school, this article discusses collaborative writing in wiki platforms. It aims to find out what wiki reveals about pupils' knowledge construction, creation, and division and their collaborative writing skills. In this project, wiki is treated as a useful tool for analyzing these processes…

Students' Views of Collaboration and Online Participation in Knowledge Forum

ERIC Educational Resources Information Center

Chan, Carol K. K.; Chan, Yuen-Yan

2011-01-01

This study examined students- views of collaboration and learning, and investigated how these predict students- online participation in a computer-supported learning environment. The participants were 521 secondary school students in Hong Kong, who took part in online collaborative inquiry conducted using Knowledge Forum[TM]. We developed a…

English 4090: Collaborative Writing at Work

ERIC Educational Resources Information Center

Sutton, Mark

2007-01-01

This article presents a course design of English 4090: Collaborative Writing at Work. The course is a senior-level elective designed to reinforce students' existing knowledge of professional writing and to teach students how to apply that knowledge effectively in collaborative contexts. Here, the author focuses on the Spring 2006 class and…

Development and Determination of Reliability and Validity of Professional Learning Community Collaborative Team Survey (CTS)

ERIC Educational Resources Information Center

Colvin, Joshua A.

2013-01-01

The study of transformative learning within collaborative teams was conducted to gain new applicable knowledge used to influence overall school improvement and implementation of professional learning communities. To obtain this new knowledge, the Professional Learning Community Collaborative Team Survey (CTS) was developed and psychometrically…

Evoking Knowledge and Information Awareness for Enhancing Computer-Supported Collaborative Problem Solving

ERIC Educational Resources Information Center

Engelmann, Tanja; Tergan, Sigmar-Olaf; Hesse, Friedrich W.

2010-01-01

Computer-supported collaboration by spatially distributed group members still involves interaction problems within the group. This article presents an empirical study investigating the question of whether computer-supported collaborative problem solving by spatially distributed group members can be fostered by evoking knowledge and information…

University-Industry Collaboration, Knowledge Management and Enterprise Innovation Performance: An Empirical Study

ERIC Educational Resources Information Center

Chen, Jin; Wei, Shiyang

2008-01-01

This empirical study is concerned with university-industry collaboration from a knowledge management perspective. The authors introduce the concepts of "enterprise-level core elements" to define the principle status of an enterprise during university-industry collaboration, and "network embeddedness" as an indication of the…

Thinking Aloud Together: A Test of an Intervention To Foster Students' Collaborative Scientific Reasoning.

ERIC Educational Resources Information Center

Hogan, Kathleen

1999-01-01

Describes the use of an intervention stressing the metacognitive, regulatory, and strategic aspects of knowledge co-construction. Finds that eighth grade students who received the intervention gained in metacognitive knowledge about collaborative reasoning and ability to articulate their collaborative reasoning processes compared to students in…

Semantically Enabling Knowledge Representation of Metamorphic Petrology Data

NASA Astrophysics Data System (ADS)

West, P.; Fox, P. A.; Spear, F. S.; Adali, S.; Nguyen, C.; Hallett, B. W.; Horkley, L. K.

2012-12-01

More and more metamorphic petrology data is being collected around the world, and is now being organized together into different virtual data portals by means of virtual organizations. For example, there is the virtual data portal Petrological Database (PetDB, http://www.petdb.org) of the Ocean Floor that is organizing scientific information about geochemical data of ocean floor igneous and metamorphic rocks; and also The Metamorphic Petrology Database (MetPetDB, http://metpetdb.rpi.edu) that is being created by a global community of metamorphic petrologists in collaboration with software engineers and data managers at Rensselaer Polytechnic Institute. The current focus is to provide the ability for scientists and researchers to register their data and search the databases for information regarding sample collections. What we present here is the next step in evolution of the MetPetDB portal, utilizing semantically enabled features such as discovery, data casting, faceted search, knowledge representation, and linked data as well as organizing information about the community and collaboration within the virtual community itself. We take the information that is currently represented in a relational database and make it available through web services, SPARQL endpoints, semantic and triple-stores where inferencing is enabled. We will be leveraging research that has taken place in virtual observatories, such as the Virtual Solar Terrestrial Observatory (VSTO) and the Biological and Chemical Oceanography Data Management Office (BCO-DMO); vocabulary work done in various communities such as Observations and Measurements (ISO 19156), FOAF (Friend of a Friend), Bibo (Bibliography Ontology), and domain specific ontologies; enabling provenance traces of samples and subsamples using the different provenance ontologies; and providing the much needed linking of data from the various research organizations into a common, collaborative virtual observatory. In addition to better representing and presenting the actual data, we also look to organize and represent the knowledge information and expertise behind the data. Domain experts hold a lot of knowledge in their minds, in their presentations and publications, and elsewhere. Not only is this a technical issue, this is also a social issue in that we need to be able to encourage the domain experts to share their knowledge in a way that can be searched and queried over. With this additional focus in MetPetDB the site can be used more efficiently by other domain experts, but can also be utilized by non-specialists as well in order to educate people of the importance of the work being done as well as enable future domain experts.

Research synergy and drug development: Bright stars in neighboring constellations.

PubMed

Keserci, Samet; Livingston, Eric; Wan, Lingtian; Pico, Alexander R; Chacko, George

2017-11-01

Drug discovery and subsequent availability of a new breakthrough therapeutic or 'cure' is a compelling example of societal benefit from research advances. These advances are invariably collaborative, involving the contributions of many scientists to a discovery network in which theory and experiment are built upon. To document and understand such scientific advances, data mining of public and commercial data sources coupled with network analysis can be used as a digital methodology to assemble and analyze component events in the history of a therapeutic. This methodology is extensible beyond the history of therapeutics and its use more generally supports (i) efficiency in exploring the scientific history of a research advance (ii) documenting and understanding collaboration (iii) portfolio analysis, planning and optimization (iv) communication of the societal value of research. Building upon prior art, we have conducted a case study of five anti-cancer therapeutics to identify the collaborations that resulted in the successful development of these therapeutics both within and across their respective networks. We have linked the work of over 235,000 authors in roughly 106,000 scientific publications that capture the research crucial for the development of these five therapeutics. Applying retrospective citation discovery, we have identified a core set of publications cited in the networks of all five therapeutics and additional intersections in combinations of networks. We have enriched the content of these networks by annotating them with information on research awards from the US National Institutes of Health (NIH). Lastly, we have mapped these awards to their cognate peer review panels, identifying another layer of collaborative scientific activity that influenced the research represented in these networks.

Interdisciplinary knowledge translation: lessons learned from a mental health: fire service collaboration.

PubMed

Henderson, Joanna L; Mackay, Sherri; Peterson-Badali, Michele

2010-12-01

Collaborative approaches are being increasingly advocated for addressing a variety of health, mental health and social needs for children, youth and families. Factors important for effective knowledge translation of collaborative approaches of service delivery across disciplines, however, have not been rigorously examined. TAPP-C: The Arson Prevention Program for Children is an intervention program for child and adolescent firesetters provided collaboratively by fire service and mental health professionals. The present study examined the adopter, innovation, and dissemination characteristics associated with TAPP-C implementation, protocol adherence and extent of collaboration by 241 community-based fire service professionals from communities across Ontario. Results revealed that dissemination factors are particularly important for understanding program implementation, adherence and cross-discipline collaboration. Moreover, the findings of this study show significant benefits to both within discipline (intra-disciplinary) and across discipline (interdisciplinary) knowledge translation strategies.

Leonard A. Jason: Award for Distinguished Professional Contributions to Applied Research.

PubMed

2015-11-01

The Award for Distinguished Professional Contributions to Applied Research is given to a psychologist whose research has led to important discoveries or developments in the field of applied psychology. To be eligible, this research should have led to innovative applications in an area of psychological practice, including but not limited to assessment, consultation, instruction, or intervention (either direct or indirect). The 2015 recipient is Leonard A. Jason. Jason "is among the most prolific community psychology researchers whose work has had measurable and significant real-world impact. His work is characterized by a continuing desire to apply knowledge to major social problems. His research is methodologically sound and creative, collaborative, and participatory, thereby increasing stakeholders' support for proposed changes." Jason's award citation, biography, and a selected bibliography are presented here. (c) 2015 APA, all rights reserved).

An informatics research agenda to support precision medicine: seven key areas.

PubMed

Tenenbaum, Jessica D; Avillach, Paul; Benham-Hutchins, Marge; Breitenstein, Matthew K; Crowgey, Erin L; Hoffman, Mark A; Jiang, Xia; Madhavan, Subha; Mattison, John E; Nagarajan, Radhakrishnan; Ray, Bisakha; Shin, Dmitriy; Visweswaran, Shyam; Zhao, Zhongming; Freimuth, Robert R

2016-07-01

The recent announcement of the Precision Medicine Initiative by President Obama has brought precision medicine (PM) to the forefront for healthcare providers, researchers, regulators, innovators, and funders alike. As technologies continue to evolve and datasets grow in magnitude, a strong computational infrastructure will be essential to realize PM's vision of improved healthcare derived from personal data. In addition, informatics research and innovation affords a tremendous opportunity to drive the science underlying PM. The informatics community must lead the development of technologies and methodologies that will increase the discovery and application of biomedical knowledge through close collaboration between researchers, clinicians, and patients. This perspective highlights seven key areas that are in need of further informatics research and innovation to support the realization of PM. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association.

The Undergraduate Training in Genomics (UTRIG) Initiative: early & active training for physicians in the genomic medicine era.

PubMed

Wilcox, Rebecca L; Adem, Patricia V; Afshinnekoo, Ebrahim; Atkinson, James B; Burke, Leah W; Cheung, Hoiwan; Dasgupta, Shoumita; DeLaGarza, Julia; Joseph, Loren; LeGallo, Robin; Lew, Madelyn; Lockwood, Christina M; Meiss, Alice; Norman, Jennifer; Markwood, Priscilla; Rizvi, Hasan; Shane-Carson, Kate P; Sobel, Mark E; Suarez, Eric; Tafe, Laura J; Wang, Jason; Haspel, Richard L

2018-05-01

Genomic medicine is transforming patient care. However, the speed of development has left a knowledge gap between discovery and effective implementation into clinical practice. Since 2010, the Training Residents in Genomics (TRIG) Working Group has found success in building a rigorous genomics curriculum with implementation tools aimed at pathology residents in postgraduate training years 1-4. Based on the TRIG model, the interprofessional Undergraduate Training in Genomics (UTRIG) Working Group was formed. Under the aegis of the Undergraduate Medical Educators Section of the Association of Pathology Chairs and representation from nine additional professional societies, UTRIG's collaborative goal is building medical student genomic literacy through development of a ready-to-use genomics curriculum. Key elements to the UTRIG curriculum are expert consensus-driven objectives, active learning methods, rigorous assessment and integration.

Strategies for collaboration in the interdisciplinary field of emerging zoonotic diseases.

PubMed

Anholt, R M; Stephen, C; Copes, R

2012-06-01

The integration of the veterinary, medical and environmental sciences necessary to predict, prevent or respond to emerging zoonotic diseases requires effective collaboration and exchange of knowledge across these disciplines. There has been no research into how to connect and integrate these professions in the pursuit of a common task. We conducted a literature search looking at the experiences and wisdom resulting from collaborations built in health partnerships, health research knowledge transfer and exchange, business knowledge management and systems design engineering to identify key attributes of successful interdisciplinary (ID) collaboration. This was followed by a workshop with 16 experts experienced in ID collaboration including physicians, veterinarians and biologists from private practice, academia and government agencies. The workshop participants shared their perspectives on the facilitators and barriers to ID collaboration. Our results found that the elements that can support or impede ID collaboration can be categorized as follows: the characteristics of the people, the degree to which the task is a shared goal, the policies, practices and resources of the workplace, how information technology is used and the evaluation of the results. Above all, personal relationships built on trust and respect are needed to best assemble the disciplinary strength of the professions. The challenge of meeting collaborators outside the boundaries of one's discipline or jurisdiction may be met by an independent third party, an ID knowledge broker. The broker would know where the knowledge could be found, would facilitate introductions and would help to build effective ID teams. © 2012 Blackwell Verlag GmbH.

Resource Discovery within the Networked "Hybrid" Library.

ERIC Educational Resources Information Center

Leigh, Sally-Anne

This paper focuses on the development, adoption, and integration of resource discovery, knowledge management, and/or knowledge sharing interfaces such as interactive portals, and the use of the library's World Wide Web presence to increase the availability and usability of information services. The introduction addresses changes in library…

A biological compression model and its applications.

PubMed

Cao, Minh Duc; Dix, Trevor I; Allison, Lloyd

2011-01-01

A biological compression model, expert model, is presented which is superior to existing compression algorithms in both compression performance and speed. The model is able to compress whole eukaryotic genomes. Most importantly, the model provides a framework for knowledge discovery from biological data. It can be used for repeat element discovery, sequence alignment and phylogenetic analysis. We demonstrate that the model can handle statistically biased sequences and distantly related sequences where conventional knowledge discovery tools often fail.

Librarians as Part of Cross-Disciplinary, Multi-Institutional Team Projects: Experiences from the VIVO Collaboration

PubMed Central

Garcia-Milian, Rolando; Norton, Hannah F.; Auten, Beth; Davis, Valrie I.; Holmes, Kristi L.; Johnson, Margeaux; Tennant, Michele R.

2013-01-01

Cross-disciplinary, team-based collaboration is essential for addressing today’s complex research questions, and librarians are increasingly entering into such collaborations. This study identifies skills needed as librarians integrate into cross-disciplinary teams, based on the experiences of librarians involved in the development and implementation of VIVO, a research discovery and collaboration platform. Participants discussed the challenges, skills gained, and lessons learned throughout the project. Their responses were analyzed in the light of the science of team science literature, and factors affecting collaboration on the VIVO team were identified. Skills in inclusive thinking, communication, perseverance, adaptability, and leadership were found to be essential. PMID:23833333

Academic-Pharma drug discovery alliances: seeking ways to eliminate the valley of death.

PubMed

Hammonds, Tim

2015-01-01

Industrial pharmaceutical companies (Pharma) share a common goal with academic scientists (Academia) in that they wish to create an environment in which patients are treated for diseases with ever more effective therapies. As disease biology has proven to be ever more complex and money and new drugs are becoming more elusive, Pharma and Academia are reaching toward each other with ever greater collaborative intent. There are a growing number of collaboration models that allow scientists to work together and profit from the creation of new drugs. Here I give a personal view of how we came to where we are, present an overview of a number of these models and look to the future in terms of running successful discovery alliances.

Raising awareness of the importance of funding for tuberculosis small-molecule research.

PubMed

Riccardi, Giovanna; Old, Iain G; Ekins, Sean

2017-03-01

Tuberculosis (TB) drug discovery research is hampered by several factors, but as in many research areas, the available funding is insufficient to support the needs of research and development. Recent years have seen various large collaborative efforts involving public-private partnerships, mimicking the situation during the golden age of antibiotic drug discovery during the 1950s and 1960s. The large-scale collaborative efforts funded by the European Union (EU) are now subject to diminishing financial support. As a result, TB researchers are increasingly looking for novel forms of funding, such as crowdfunding, to fill this gap. Any potential solution will require a careful reassessment of the incentives to encourage additional organizations to provide funding. Copyright © 2016 Elsevier Ltd. All rights reserved.

The University of Kansas High-Throughput Screening Laboratory. Part II: enabling collaborative drug-discovery partnerships through cutting-edge screening technology

PubMed Central

McDonald, Peter R; Roy, Anuradha; Chaguturu, Rathnam

2011-01-01

The University of Kansas High-Throughput Screening (KU HTS) core is a state-of-the-art drug-discovery facility with an entrepreneurial open-service policy, which provides centralized resources supporting public- and private-sector research initiatives. The KU HTS core was established in 2002 at the University of Kansas with support from an NIH grant and the state of Kansas. It collaborates with investigators from national and international academic, nonprofit and pharmaceutical organizations in executing HTS-ready assay development and screening of chemical libraries for target validation, probe selection, hit identification and lead optimization. This is part two of a contribution from the KU HTS laboratory. PMID:21806374

Enabling drug discovery project decisions with integrated computational chemistry and informatics

NASA Astrophysics Data System (ADS)

Tsui, Vickie; Ortwine, Daniel F.; Blaney, Jeffrey M.

2017-03-01

Computational chemistry/informatics scientists and software engineers in Genentech Small Molecule Drug Discovery collaborate with experimental scientists in a therapeutic project-centric environment. Our mission is to enable and improve pre-clinical drug discovery design and decisions. Our goal is to deliver timely data, analysis, and modeling to our therapeutic project teams using best-in-class software tools. We describe our strategy, the organization of our group, and our approaches to reach this goal. We conclude with a summary of the interdisciplinary skills required for computational scientists and recommendations for their training.

Collaborative translational research leading to multicenter clinical trials in Duchenne muscular dystrophy: the Cooperative International Neuromuscular Research Group (CINRG).

PubMed

Escolar, Diana M; Henricson, Erik K; Pasquali, Livia; Gorni, Ksenija; Hoffman, Eric P

2002-10-01

Progress in the development of rationally based therapies for Duchenne muscular dystrophy has been accelerated by encouraging multidisciplinary, multi-institutional collaboration between basic science and clinical investigators in the Cooperative International Research Group. We combined existing research efforts in pathophysiology by a gene expression profiling laboratory with the efforts of animal facilities capable of conducting high-throughput drug screening and toxicity testing to identify safe and effective drug compounds that target different parts of the pathophysiologic cascade in a genome-wide drug discovery approach. Simultaneously, we developed a clinical trial coordinating center and an international network of collaborating physicians and clinics where those drugs could be tested in large-scale clinical trials. We hope that by bringing together investigators at these facilities and providing the infrastructure to support their research, we can rapidly move new bench discoveries through animal model screening and into therapeutic testing in humans in a safe, timely and cost-effective setting.

JR Live: Lessons Learned from Ship-to-Shore Interactions with the JOIDES Resolution

NASA Astrophysics Data System (ADS)

Cooper, S. K.

2016-02-01

Live ship-to-shore events have been conducted regularly from the International Ocean Discovery Program (IODP) research vessel JOIDES Resolution since 2009. These 45-minute events have reached thousands of students, educators and members of the general public with the JR's cutting edge science and technology and the excitement of discovery, science process and careers. Conducted by trained on-board Education/Outreach Officers on board the JR's two-month expeditions, the programs vary over time and have evolved with available technology. Each event incorporates collaboration between the Education Officer, scientists who are a part of the expedition science party, and requests from shore-side audiences. These collaborations have been successful in igniting interest among students and educators, providing scientists with outreach experiences and in meeting education standards and goals. Over the past six years, many lessons have been learned about procedures, technology, content, follow-up and impact. This session will share some of these lessons, identify opportunities for collaboration and engagement, and explore growth opportunities and directions.

Astrophysical implications of extraterrestrial materials: A special issue for Ernst K. Zinner

NASA Astrophysics Data System (ADS)

Nittler, Larry R.

2018-01-01

This special issue is dedicated to the memory of Dr. Ernst K. Zinner (Fig. 1). Dr. Zinner (1937-2015) was a pioneer in the use of Secondary Ion Mass Spectrometry (SIMS) in geo- and cosmochemistry. His contributions to science were vast, but in addition to his foundational SIMS development work, he is best known for the discovery and detailed characterization of presolar stardust grains in meteorites. This discovery opened up important new connections between astrophysics and meteoritical research and this is the overarching theme of this issue. Throughout his career, Ernst was a teacher, mentor, friend, and generous collaborator to legions of scientists. This issue presents research by many who were taught by, inspired by, and/or collaborated with this innovative cosmochemist and astrophysicist. In addition to the author, Ernst's former students and collaborators Drs. Christine Floss (Washington University) Peter Hoppe (MPI for chemistry, Mainz, Germany), and Kevin McKeegan (University of California, Los Angeles) served as Guest Editors for this issue.

Transforming Big Data into cancer-relevant insight: An initial, multi-tier approach to assess reproducibility and relevance

PubMed Central

2016-01-01

The Cancer Target Discovery and Development (CTD2) Network was established to accelerate the transformation of “Big Data” into novel pharmacological targets, lead compounds, and biomarkers for rapid translation into improved patient outcomes. It rapidly became clear in this collaborative network that a key central issue was to define what constitutes sufficient computational or experimental evidence to support a biologically or clinically relevant finding. This manuscript represents a first attempt to delineate the challenges of supporting and confirming discoveries arising from the systematic analysis of large-scale data resources in a collaborative work environment and to provide a framework that would begin a community discussion to resolve these challenges. The Network implemented a multi-Tier framework designed to substantiate the biological and biomedical relevance as well as the reproducibility of data and insights resulting from its collaborative activities. The same approach can be used by the broad scientific community to drive development of novel therapeutic and biomarker strategies for cancer. PMID:27401613

KNODWAT: A scientific framework application for testing knowledge discovery methods for the biomedical domain

PubMed Central

2013-01-01

Background Professionals in the biomedical domain are confronted with an increasing mass of data. Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge. However, there are so many diverse methods and methodologies available, that for biomedical researchers who are inexperienced in the use of even relatively popular knowledge discovery methods, it can be very difficult to select the most appropriate method for their particular research problem. Results A web application, called KNODWAT (KNOwledge Discovery With Advanced Techniques) has been developed, using Java on Spring framework 3.1. and following a user-centered approach. The software runs on Java 1.6 and above and requires a web server such as Apache Tomcat and a database server such as the MySQL Server. For frontend functionality and styling, Twitter Bootstrap was used as well as jQuery for interactive user interface operations. Conclusions The framework presented is user-centric, highly extensible and flexible. Since it enables methods for testing using existing data to assess suitability and performance, it is especially suitable for inexperienced biomedical researchers, new to the field of knowledge discovery and data mining. For testing purposes two algorithms, CART and C4.5 were implemented using the WEKA data mining framework. PMID:23763826

KNODWAT: a scientific framework application for testing knowledge discovery methods for the biomedical domain.

PubMed

Holzinger, Andreas; Zupan, Mario

2013-06-13

Professionals in the biomedical domain are confronted with an increasing mass of data. Developing methods to assist professional end users in the field of Knowledge Discovery to identify, extract, visualize and understand useful information from these huge amounts of data is a huge challenge. However, there are so many diverse methods and methodologies available, that for biomedical researchers who are inexperienced in the use of even relatively popular knowledge discovery methods, it can be very difficult to select the most appropriate method for their particular research problem. A web application, called KNODWAT (KNOwledge Discovery With Advanced Techniques) has been developed, using Java on Spring framework 3.1. and following a user-centered approach. The software runs on Java 1.6 and above and requires a web server such as Apache Tomcat and a database server such as the MySQL Server. For frontend functionality and styling, Twitter Bootstrap was used as well as jQuery for interactive user interface operations. The framework presented is user-centric, highly extensible and flexible. Since it enables methods for testing using existing data to assess suitability and performance, it is especially suitable for inexperienced biomedical researchers, new to the field of knowledge discovery and data mining. For testing purposes two algorithms, CART and C4.5 were implemented using the WEKA data mining framework.

EarthCube: Advancing Partnerships, Collaborative Platforms and Knowledge Networks in the Ocean Sciences

NASA Astrophysics Data System (ADS)

Stephen, Diggs; Lee, Allison

2014-05-01

The National Science Foundation's EarthCube initiative aims to create a community-driven data and knowledge management system that will allow for unprecedented data sharing across the geosciences. More than 2,500 participants through forums, work groups, EarthCube events, and virtual and in-person meetings have participated. The individuals that have engaged represent the core earth-system sciences of solid Earth, Atmosphere, Oceans, and Polar Sciences. EarthCube is a cornerstone of NSF's Cyberinfrastructure for the 21st Century (CIF21) initiative, whose chief objective is to develop a U.S. nationwide, sustainable, and community-based cyberinfrastructure for researchers and educators. Increasingly effective community-driven cyberinfrastructure allows global data discovery and knowledge management and achieves interoperability and data integration across scientific disciplines. There is growing convergence across scientific and technical communities on creating a networked, knowledge management system and scientific data cyberinfrastructure that integrates Earth system and human dimensions data in an open, transparent, and inclusive manner. EarthCube does not intend to replicate these efforts, but build upon them. An agile development process is underway for the development and governance of EarthCube. The agile approach was deliberately selected due to its iterative and incremental nature while promoting adaptive planning and rapid and flexible response. Such iterative deployment across a variety of EarthCube stakeholders encourages transparency, consensus, accountability, and inclusiveness.

Investigating Face-to-Face Peer Interaction Patterns in a Collaborative Web Discovery Task: The Bene?ts of a Shared Display

ERIC Educational Resources Information Center

Chung, C-W.; Lee, C-C.; Liu, C-C.

2013-01-01

Mobile computers are now increasingly applied to facilitate face-to-face collaborative learning. However, the factors affecting face-to-face peer interactions are complex as they involve rich communication media. In particular, non-verbal interactions are necessary to convey critical communication messages in face-to-face communication. Through…

Cognitive and Social Structure of the Elite Collaboration Network of Astrophysics: A Case Study on Shifting Network Structures

ERIC Educational Resources Information Center

Heidler, Richard

2011-01-01

Scientific collaboration can only be understood along the epistemic and cognitive grounding of scientific disciplines. New scientific discoveries in astrophysics led to a major restructuring of the elite network of astrophysics. To study the interplay of the epistemic grounding and the social network structure of a discipline, a mixed-methods…

Teachers as Researchers: A Discovery of Their Emerging Role and Impact through a School-University Collaborative Research

ERIC Educational Resources Information Center

Chow, Ken Chi Kin; Chu, Samuel Kai Wah; Tavares, Nicole; Lee, Celina Wing Yi

2015-01-01

This study explored the impact of the role of teacher-researchers on in-service teachers' professional development, as well as the reasons behind the lack of a teacher-as-researcher ethos in schools. In the study, teachers from four Hong Kong primary schools participated in a school-university collaborative research project that promotes…

Exploring Students' Knowledge Construction Strategies in Computer-Supported Collaborative Learning Discussions Using Sequential Analysis

ERIC Educational Resources Information Center

Shukor, Nurbiha A.; Tasir, Zaidatun; Van der Meijden, Henny; Harun, Jamalludin

2014-01-01

Online collaborative learning allows discussion to occur at greater depth where knowledge can be constructed remotely. However students were found to construct knowledge at low-level where they discussed by sharing and comparing opinions; those are inadequate for new knowledge creation. As such, this research attempted to investigate the students'…

Facilitating Argumentative Knowledge Construction through a Transactive Discussion Script in CSCL

ERIC Educational Resources Information Center

Noroozi, Omid; Weinberger, Armin; Biemans, Harm J. A.; Mulder, Martin; Chizari, Mohammad

2013-01-01

Learning to argue is prerequisite to solving complex problems in groups, especially when they are multidisciplinary and collaborate online. Environments for Computer-Supported Collaborative Learning (CSCL) can be designed to facilitate argumentative knowledge construction. This study investigates how argumentative knowledge construction in…

Leveraging Social Media for Pro-Am Collaborations: Support for C/2012 S1 (ISON) Observing Campaign

NASA Astrophysics Data System (ADS)

Yanamandra-Fisher, P. A.

2013-12-01

The interactions of amateur astronomers with professional astronomers have changed significantly in the digital era, from an occasional interaction of exchanging individual images to a sustained collaboration to coordinated global networks of amateur astronomers. Today, amateur astronomers, with sophisticated equipment and software, provide several valuable resources to the professional observers/astronomers: a large source of manpower, or extension of the professional astronomer's group; a vast collection of data that provides both legacy and temporal information and finally, as ambassadors of science, help build bridges between the scientific and public communities. From the professional astronomer/scientist's perspective, given the vast amounts of data acquired through various projects, the natural progression to interactive collaborations between these two communities is tremendously beneficial. The inclusion of the public in this exciting format of interactions between the professional and amateur community is the third component of synergistic science. The concept of Citizen Science, of allowing the public to perform simple visual examination of vast data sets according to a set of guidelines, is now becoming multi-dimensional, corresponding to the experience level of participants in the project. I will highlight a current project that leverages the collaboration between professional and amateur astronomers; and the use of social media to include various components of the public: Comet ISON Observing Campaign (CIOC). From the initial discovery of comet C/2012 S1 (ISON) by Russian amateur astronomers in September 2012, to the present day, amateur astronomers provide valuable resources of global coverage, data, and legacy knowledge to the professional community. The Comet ISON Observing Campaign (CIOC) goals (http://www.isoncampaign.org) are: (i) a detailed characterization of a subset of comets (sun grazers) that are usually difficult to identify and study in the few hours before their demise; and (ii) facilitate collaborations between various investigators for the best science possible. One of the tangible products is the creation of CIOC_ISON, a professional - amateur astronomer collaboration network established on Facebook, with members from the scientific, amateur, science outreach/education, public from around the globe (https://www.facebook.com/groups/cioc.ison) and a Pinterest presence (http://pinterest.com/padmayf/comet-ison/). Members, by invitation or request, provide the details of their equipment, location and observations and post their observations to both share and provide a forum for interactive discussions. Guidelines for observations and their logs are provided and updated as deemed necessary by the scientists for useful data. The long lead time between initial discovery of C/ISON in September 2012 and its perihelion in November 2013 provides a rare opportunity for the scientific and amateur astronomer communities to study a sungrazer comet on its initial (and possibly) only passage through the inner solar system. These collaborations are changing the paradigm of research.

A community of practice for knowledge translation trainees: an innovative approach for learning and collaboration.

PubMed

Urquhart, Robin; Cornelissen, Evelyn; Lal, Shalini; Colquhoun, Heather; Klein, Gail; Richmond, Sarah; Witteman, Holly O

2013-01-01

A growing number of researchers and trainees identify knowledge translation (KT) as their field of study or practice. Yet, KT educational and professional development opportunities and established KT networks remain relatively uncommon, making it challenging for trainees to develop the necessary skills, networks, and collaborations to optimally work in this area. The Knowledge Translation Trainee Collaborative is a trainee-initiated and trainee-led community of practice established by junior knowledge translation researchers and practitioners to: examine the diversity of knowledge translation research and practice, build networks with other knowledge translation trainees, and advance the field through knowledge generation activities. In this article, we describe how the collaborative serves as an innovative community of practice for continuing education and professional development in knowledge translation and present a logic model that provides a framework for designing an evaluation of its impact as a community of practice. The expectation is that formal and informal networking will lead to knowledge sharing and knowledge generation opportunities that improve individual members' competencies (eg, combination of skills, abilities, and knowledge) in knowledge translation research and practice and contribute to the development and advancement of the knowledge translation field. Copyright © 2013 The Alliance for Continuing Education in the Health Professions, the Society for Academic Continuing Medical Education, and the Council on CME, Association for Hospital Medical Education.

Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships

PubMed Central

2010-01-01

Background The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. While early methods for discovery of transcriptional regulation relationships from microarray data often focused on the high-throughput experimental data alone, more recent approaches have explored the integration of external knowledge bases of gene interactions. Results In this work, we develop an algorithm that provides improved performance in the prediction of transcriptional regulatory relationships by supplementing the analysis of microarray data with a new method of integrating information from an existing knowledge base. Using a well-known dataset of yeast microarrays and the Yeast Proteome Database, a comprehensive collection of known information of yeast genes, we show that knowledge-based predictions demonstrate better sensitivity and specificity in inferring new transcriptional interactions than predictions from microarray data alone. We also show that comprehensive, direct and high-quality knowledge bases provide better prediction performance. Comparison of our results with ChIP-chip data and growth fitness data suggests that our predicted genome-wide regulatory pairs in yeast are reasonable candidates for follow-up biological verification. Conclusion High quality, comprehensive, and direct knowledge bases, when combined with appropriate bioinformatic algorithms, can significantly improve the discovery of gene regulatory relationships from high throughput gene expression data. PMID:20122245

Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships.

PubMed

Seok, Junhee; Kaushal, Amit; Davis, Ronald W; Xiao, Wenzhong

2010-01-18

The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. While early methods for discovery of transcriptional regulation relationships from microarray data often focused on the high-throughput experimental data alone, more recent approaches have explored the integration of external knowledge bases of gene interactions. In this work, we develop an algorithm that provides improved performance in the prediction of transcriptional regulatory relationships by supplementing the analysis of microarray data with a new method of integrating information from an existing knowledge base. Using a well-known dataset of yeast microarrays and the Yeast Proteome Database, a comprehensive collection of known information of yeast genes, we show that knowledge-based predictions demonstrate better sensitivity and specificity in inferring new transcriptional interactions than predictions from microarray data alone. We also show that comprehensive, direct and high-quality knowledge bases provide better prediction performance. Comparison of our results with ChIP-chip data and growth fitness data suggests that our predicted genome-wide regulatory pairs in yeast are reasonable candidates for follow-up biological verification. High quality, comprehensive, and direct knowledge bases, when combined with appropriate bioinformatic algorithms, can significantly improve the discovery of gene regulatory relationships from high throughput gene expression data.

International Astronomical Search Collaboration: Online Educational Outreach Program in Astronomical Discovery for Middle School, High School, & College Students and Citizen Scientists

NASA Astrophysics Data System (ADS)

Miller, P.

2016-12-01

The International Astronomical Search Collaboration (IASC = "Isaac") in an online educational outreach program in planetary science. Citizen scientists and students from middle schools, high schools, and colleges make original discoveries of Main Belt asteroids. They discover trans-Neptunian objects and near-Earth objects. To date there have been discoveries of 1300 provisional MBAs, 7 TNOs, 2 potentially hazardous NEOs, and one Jupiter-family comet 276P/Vorobjov. IASC receives images from the Institute for Astronomy, University of Hawaii. Images are provided by the 1.8-m Pan-STARRS telescopes (PS1, PS2). These telescopes have the world's largest CCD cameras that produce 3o fields containing 1.4 billion pixels. These images are partitioned into 208 sub-images that are distributed online to the participating citizen scientists and schools (see http://iasc.hsutx.edu). Using the software Astrometrica, the sub-images are searched for moving object discoveries that are recorded with astrometry then reported to the Minor Planet Center (Smithsonian Astrophysical Observatory, Harvard). There are >5,000 citizen scientists and 700 schools that participate in the IASC asteroid searches. They come from more than 80 countries. And, the cost to participate…is free. Of the 1300 provisional MBA discoveries, 39 have been numbered and cataloged by the International Astronomical Union (Paris). The numbered discoveries are named by their citizen scientist and student discoverers. IASC works in conjunction with the NASA Asteroid Grand Challenge providing digital badging to the students (https://www.nasa.gov/feature/the-asteroid-grand-challenge-digital-badging-effort). IASC works online with the teachers from the participating schools, training them using videoconferencing to use Astrometrica in the search for, measurement of, and reporting of MBA discoveries by their students.

Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine.

PubMed

Castaneda, Christian; Nalley, Kip; Mannion, Ciaran; Bhattacharyya, Pritish; Blake, Patrick; Pecora, Andrew; Goy, Andre; Suh, K Stephen

2015-01-01

As research laboratories and clinics collaborate to achieve precision medicine, both communities are required to understand mandated electronic health/medical record (EHR/EMR) initiatives that will be fully implemented in all clinics in the United States by 2015. Stakeholders will need to evaluate current record keeping practices and optimize and standardize methodologies to capture nearly all information in digital format. Collaborative efforts from academic and industry sectors are crucial to achieving higher efficacy in patient care while minimizing costs. Currently existing digitized data and information are present in multiple formats and are largely unstructured. In the absence of a universally accepted management system, departments and institutions continue to generate silos of information. As a result, invaluable and newly discovered knowledge is difficult to access. To accelerate biomedical research and reduce healthcare costs, clinical and bioinformatics systems must employ common data elements to create structured annotation forms enabling laboratories and clinics to capture sharable data in real time. Conversion of these datasets to knowable information should be a routine institutionalized process. New scientific knowledge and clinical discoveries can be shared via integrated knowledge environments defined by flexible data models and extensive use of standards, ontologies, vocabularies, and thesauri. In the clinical setting, aggregated knowledge must be displayed in user-friendly formats so that physicians, non-technical laboratory personnel, nurses, data/research coordinators, and end-users can enter data, access information, and understand the output. The effort to connect astronomical numbers of data points, including '-omics'-based molecular data, individual genome sequences, experimental data, patient clinical phenotypes, and follow-up data is a monumental task. Roadblocks to this vision of integration and interoperability include ethical, legal, and logistical concerns. Ensuring data security and protection of patient rights while simultaneously facilitating standardization is paramount to maintaining public support. The capabilities of supercomputing need to be applied strategically. A standardized, methodological implementation must be applied to developed artificial intelligence systems with the ability to integrate data and information into clinically relevant knowledge. Ultimately, the integration of bioinformatics and clinical data in a clinical decision support system promises precision medicine and cost effective and personalized patient care.

Form-Focused Discovery Activities in English Classes

ERIC Educational Resources Information Center

Ogeyik, Muhlise Cosgun

2011-01-01

Form-focused discovery activities allow language learners to grasp various aspects of a target language by contributing implicit knowledge by using discovered explicit knowledge. Moreover, such activities can assist learners to perceive and discover the features of their language input. In foreign language teaching environments, they can be used…

Comprehensive Clinical Phenotyping & Genetic Mapping for the Discovery of Autism Susceptibility Genes

DTIC Science & Technology

2012-12-05

Bisgaier J, Levinson D, Cutts DB, & Rhodes KV., (2011) Access to autism evaluation appointments with developmental-behavioral and neurodevelopmental ...W403 Columbus, OH 43205 Final Report Comprehensive Clinical Phenotyping & Genetic Mapping for the Discovery of Autism Susceptibility Genes...QFOXGHDUHDFRGH 1.0 Summary In 2006, the Central Ohio Registry for Autism (CORA) was initiated as a collaboration between Wright-Patterson Air

A Model for Collaborative Working to Facilitate Knowledge Mobilisation in Public Health

ERIC Educational Resources Information Center

McCabe, Karen Elizabeth; Wallace, Annie; Crosland, Ann

2015-01-01

This paper introduces a model for collaborative working to facilitate knowledge mobilisation in public health. The model has been developed by university researchers who worked collaboratively with public health commissioners and strategic partners to evaluate a portfolio of short-term funded interventions to inform re-commissioning. Within this…

International Collaboration and Its Contributions: Disseminating Knowledge and Supporting Evidence-Based Practices across Countries

ERIC Educational Resources Information Center

Collins, Belva C.; Tekin-Iftar, Elif; Olcay-Gul, Seray

2017-01-01

This article explores how international collaboration among researchers can contribute to developing evidence-based practices and disseminating knowledge in the field of special education. A review of a sample of special education journals published in English to identify articles written in collaboration by researchers from different countries is…

Internal and External Regulation to Support Knowledge Construction and Convergence in Computer Supported Collaborative Learning (CSCL)

ERIC Educational Resources Information Center

Romero, Margarida; Lambropoulos, Niki

2011-01-01

Computer Supported Collaborative Learning (CSCL) activities aim to promote collaborative knowledge construction and convergence. During the CSCL activity, the students should regulate their learning activity, at the individual and collective level. This implies an organisation cost related to the coordination of the activity with the team-mates…

A Collaborative Inquiry to Promote Pedagogical Knowledge of Mathematics in Practice

ERIC Educational Resources Information Center

Moghaddam, Alireza; Sarkar Arani, Mohammad Reza; Kuno, Hiroyuki

2015-01-01

The present study attempts to report a collaborative cycle of professional development in teaching elementary school mathematics through lesson study. It explores a practice of lesson study conducted by teachers aiming to improve their knowledge of pedagogy. The study adopts an ethnographic approach to examine how collaborative teaching within an…

Mobile, Collaborative Situated Knowledge Creation for Urban Planning

PubMed Central

Zurita, Gustavo; Baloian, Nelson

2012-01-01

Geo-collaboration is an emerging research area in computer sciences studying the way spatial, geographically referenced information and communication technologies can support collaborative activities. Scenarios in which information associated to its physical location are of paramount importance are often referred as Situated Knowledge Creation scenarios. To date there are few computer systems supporting knowledge creation that explicitly incorporate physical context as part of the knowledge being managed in mobile face-to-face scenarios. This work presents a collaborative software application supporting visually-geo-referenced knowledge creation in mobile working scenarios while the users are interacting face-to-face. The system allows to manage data information associated to specific physical locations for knowledge creation processes in the field, such as urban planning, identifying specific physical locations, territorial management, etc.; using Tablet-PCs and GPS in order to geo-reference data and information. It presents a model for developing mobile applications supporting situated knowledge creation in the field, introducing the requirements for such an application and the functionalities it should have in order to fulfill them. The paper also presents the results of utility and usability evaluations. PMID:22778639

Mobile, collaborative situated knowledge creation for urban planning.

PubMed

Zurita, Gustavo; Baloian, Nelson

2012-01-01

Geo-collaboration is an emerging research area in computer sciences studying the way spatial, geographically referenced information and communication technologies can support collaborative activities. Scenarios in which information associated to its physical location are of paramount importance are often referred as Situated Knowledge Creation scenarios. To date there are few computer systems supporting knowledge creation that explicitly incorporate physical context as part of the knowledge being managed in mobile face-to-face scenarios. This work presents a collaborative software application supporting visually-geo-referenced knowledge creation in mobile working scenarios while the users are interacting face-to-face. The system allows to manage data information associated to specific physical locations for knowledge creation processes in the field, such as urban planning, identifying specific physical locations, territorial management, etc.; using Tablet-PCs and GPS in order to geo-reference data and information. It presents a model for developing mobile applications supporting situated knowledge creation in the field, introducing the requirements for such an application and the functionalities it should have in order to fulfill them. The paper also presents the results of utility and usability evaluations.

The Universe Discovery Guides: A Collaborative Approach to Educating with NASA Science

NASA Astrophysics Data System (ADS)

Manning, James G.; Lawton, Brandon L.; Gurton, Suzanne; Smith, Denise Anne; Schultz, Gregory; Astrophysics Community, NASA

2015-08-01

For the 2009 International Year of Astronomy, the then-existing NASA Origins Forum collaborated with the Astronomical Society of the Pacific (ASP) to create a series of monthly “Discovery Guides” for informal educator and amateur astronomer use in educating the public about featured sky objects and associated NASA science themes. Today’s NASA Astrophysics Science Education and Public Outreach Forum (SEPOF), one of the current generation of forums coordinating the work of NASA Science Mission Directorate (SMD) EPO efforts—in collaboration with the ASP and NASA SMD missions and programs--has adapted the Discovery Guides into “evergreen” educational resources suitable for a variety of audiences. The Guides focus on “deep sky” objects and astrophysics themes (stars and stellar evolution, galaxies and the universe, and exoplanets), showcasing EPO resources from more than 30 NASA astrophysics missions and programs in a coordinated and cohesive “big picture” approach across the electromagnetic spectrum, grounded in best practices to best serve the needs of the target audiences.Each monthly guide features a theme and a representative object well-placed for viewing, with an accompanying interpretive story, finding charts, strategies for conveying the topics, and complementary supporting NASA-approved education activities and background information from a spectrum of NASA missions and programs. The Universe Discovery Guides are downloadable from the NASA Night Sky Network web site at nightsky.jpl.nasa.gov and specifically from http://nightsky.jpl.nasa.gov/news-display.cfm?News_ID=611.The presentation will describe the collaborative’s experience in developing the guides, how they place individual science discoveries and learning resources into context for audiences, and how the Guides can be readily used in scientist public outreach efforts, in college and university introductory astronomy classes, and in other engagements between scientists, instructors, students and the public.

The Process of Achieving Collaborative Knowledge in Asynchronous Collaboration (CASC)

DTIC Science & Technology

2004-01-01

they is no concrete evidence for Billy killing Mr. Gill.” KBsu : Knowledge Building (shared understanding) = using facts to justify a solution. “I think...ion Alternat ives (IPsa) KB: Collaborat ive Knowledge (KBck) KB: Shared Understanding ( KBsu ) KB: Domain Expert ise (IPde) ** = significantly

Knowledge Organization through Multiple Representations in a Computer-Supported Collaborative Learning Environment

ERIC Educational Resources Information Center

Namdar, Bahadir; Shen, Ji

2018-01-01

Computer-supported collaborative learning (CSCL) environments provide learners with multiple representational tools for storing, sharing, and constructing knowledge. However, little is known about how learners organize knowledge through multiple representations about complex socioscientific issues. Therefore, the purpose of this study was to…

76 FR 13371 - Office of Special Education and Rehabilitative Services; Overview Information; Personnel...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-11

... skills and knowledge, derived from practices that have been determined through scientifically based... families. Paraprofessional students must obtain the knowledge and skills necessary to collaborate and work... must obtain the knowledge and skills necessary to collaborate and work effectively with licensed or...

75 FR 66766 - NIAID Blue Ribbon Panel Meeting on Adjuvant Discovery and Development

Federal Register 2010, 2011, 2012, 2013, 2014

2010-10-29

..., identifies gaps in knowledge and capabilities, and defines NIAID's goals for the continued discovery... DEPARTMENT OF HEALTH AND HUMAN SERVICES NIAID Blue Ribbon Panel Meeting on Adjuvant Discovery and... agenda for the discovery, development and clinical evaluation of adjuvants for use with preventive...

12 CFR 263.53 - Discovery depositions.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 3 2011-01-01 2011-01-01 false Discovery depositions. 263.53 Section 263.53... depositions. (a) In general. In addition to the discovery permitted in subpart A of this part, limited discovery by means of depositions shall be allowed for individuals with knowledge of facts material to the...

12 CFR 19.170 - Discovery depositions.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Discovery depositions. 19.170 Section 19.170... PROCEDURE Discovery Depositions and Subpoenas § 19.170 Discovery depositions. (a) General rule. In any... deposition of an expert, or of a person, including another party, who has direct knowledge of matters that...

12 CFR 19.170 - Discovery depositions.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 1 2011-01-01 2011-01-01 false Discovery depositions. 19.170 Section 19.170... PROCEDURE Discovery Depositions and Subpoenas § 19.170 Discovery depositions. (a) General rule. In any... deposition of an expert, or of a person, including another party, who has direct knowledge of matters that...

12 CFR 263.53 - Discovery depositions.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Discovery depositions. 263.53 Section 263.53... depositions. (a) In general. In addition to the discovery permitted in subpart A of this part, limited discovery by means of depositions shall be allowed for individuals with knowledge of facts material to the...

BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation

PubMed Central

2011-01-01

We present BioGraph, a data integration and data mining platform for the exploration and discovery of biomedical information. The platform offers prioritizations of putative disease genes, supported by functional hypotheses. We show that BioGraph can retrospectively confirm recently discovered disease genes and identify potential susceptibility genes, outperforming existing technologies, without requiring prior domain knowledge. Additionally, BioGraph allows for generic biomedical applications beyond gene discovery. BioGraph is accessible at http://www.biograph.be. PMID:21696594

Industry-University Collaborations in Canada, Japan, the UK and USA – With Emphasis on Publication Freedom and Managing the Intellectual Property Lock-Up Problem

PubMed Central

Kneller, Robert; Mongeon, Marcel; Cope, Jeff; Garner, Cathy; Ternouth, Philip

2014-01-01

As industry-university collaborations are promoted to commercialize university research and foster economic growth, it is important to understand how companies benefit from these collaborations, and to ensure that resulting academic discoveries are developed for the benefit of all stakeholders: companies, universities and public. Lock up of inventions, and censoring of academic publications, should be avoided if feasible. This case-study analysis of interviews with 90 companies in Canada, Japan, the UK and USA assesses the scope of this challenge and suggests possible resolutions. The participating companies were asked to describe an important interaction with universities, and most described collaborative research. The most frequently cited tensions concerned intellectual property management and publication freedom. IP disagreements were most frequent in the context of narrowly-focused collaborations with American universities. However, in the case of exploratory research, companies accepted the IP management practices of US universities. It might make sense to let companies have an automatic exclusive license to IP from narrowly defined collaborations, but to encourage universities to manage inventions from exploratory collaborations to ensure development incentives. Although Canada, the UK and US have strong publication freedom guarantees, tensions over this issue arose frequently in focused collaborations, though were rare in exploratory collaborations. The UK Lambert Agreements give sponsors the option to control publications in return for paying the full economic cost of a project. This may offer a model for the other three countries. Uniquely among the four countries, Japan enables companies to control exclusively most collaborative inventions and to censor academic publications. Despite this high degree of control, the interviews suggest many companies do not develop university discoveries to their full potential. The steps suggested above may rebalance the situation in Japan. Overall, the interviews reveal the complexity of these issues and the need for flexibility on the part of universities and companies. PMID:24632805

A narrative study of novice elementary teachers' perceptions of science instruction

NASA Astrophysics Data System (ADS)

Harrell, Roberta

It is hoped that, once implemented, the Next Generation Science Standards (NGSS) will engage students more deeply in science learning and build science knowledge sequentially beginning in Kindergarten (NRC, 2013). Early instruction is encouraged but must be delivered by qualified elementary teachers who have both the science content knowledge and the necessary instructional skills to teach science effectively to young children (Ejiwale, 2012, Spencer, Vogel, 2009, Walker, 2011). The purpose of this research study is to gain insight into novice elementary teachers' perceptions of science instruction. This research suggests that infusion of constructivist teaching in the elementary classroom is beneficial to the teacher's instruction of science concepts to elementary students. Constructivism is theory that learning is centered on the learner constructing new ideas or concepts built upon their current/past knowledge (Bruner, 1966). Based on this theory, it is recommended that the instructor should try to encourage students to discover principles independently; essentially the instructor presents the problem and lets students go (Good & Brophy, 2004). Discovery learning, hands-on, experimental, collaborative, and project-based learning are all approaches that use constructivist principles. The NGSS are based on constructivist principles. This narrative study provides insight into novice elementary teachers' perceptions of science instruction considered through the lens of Constructivist Theory (Bruner, 1960).

eLearning, knowledge brokering, and nursing: strengthening collaborative practice in long-term care.

PubMed

Halabisky, Brenda; Humbert, Jennie; Stodel, Emma J; MacDonald, Colla J; Chambers, Larry W; Doucette, Suzanne; Dalziel, William B; Conklin, James

2010-01-01

Interprofessional collaboration is vital to the delivery of quality care in long-term care settings; however, caregivers in long-term care face barriers to participating in training programs to improve collaborative practices. Consequently, eLearning can be used to create an environment that combines convenient, individual learning with collaborative experiential learning. Findings of this study revealed that learners enjoyed the flexibility of the Working Together learning resource. They acquired new knowledge and skills that they were able to use in their practice setting to achieve higher levels of collaborative practice. Nurses were identified as team leaders because of their pivotal role in the long-term care home and collaboration with all patient care providers. Nurses are ideal as knowledge brokers for the collaborative practice team. Quantitative findings showed no change in learner's attitudes regarding collaborative practice; however, interviews provided examples of positive changes experienced. Face-to-face collaboration was found to be a challenge, and changes to organizations, systems, and technology need to be made to facilitate this process. The Working Together learning resource is an important first step toward strengthening collaboration in long-term care, and the pilot implementation provides insights that further our understanding of both interprofessional collaboration and effective eLearning.

Collaborative diagramming during problem based learning in medical education: Do computerized diagrams support basic science knowledge construction?

PubMed

De Leng, Bas; Gijlers, Hannie

2015-05-01

To examine how collaborative diagramming affects discussion and knowledge construction when learning complex basic science topics in medical education, including its effectiveness in the reformulation phase of problem-based learning. Opinions and perceptions of students (n = 70) and tutors (n = 4) who used collaborative diagramming in tutorial groups were collected with a questionnaire and focus group discussions. A framework derived from the analysis of discourse in computer-supported collaborative leaning was used to construct the questionnaire. Video observations were used during the focus group discussions. Both students and tutors felt that collaborative diagramming positively affected discussion and knowledge construction. Students particularly appreciated that diagrams helped them to structure knowledge, to develop an overview of topics, and stimulated them to find relationships between topics. Tutors emphasized that diagramming increased interaction and enhanced the focus and detail of the discussion. Favourable conditions were the following: working with a shared whiteboard, using a diagram format that facilitated distribution, and applying half filled-in diagrams for non-content expert tutors and\\or for heterogeneous groups with low achieving students. The empirical findings in this study support the findings of earlier more descriptive studies that diagramming in a collaborative setting is valuable for learning complex knowledge in medicine.

PolarTREC-Teachers and Researchers Exploring and Collaborating: Science Education from the Poles to the World

NASA Astrophysics Data System (ADS)

Timm, K. M.; Warburton, J.; Owens, R.; Warnick, W. K.

2008-12-01

PolarTREC--Teachers and Researchers Exploring and Collaborating, a program of the Arctic Research Consortium of the U.S. (ARCUS), is a National Science Foundation (NSF)--funded International Polar Year (IPY) project in which K-12 educators participate in hands-on field experiences, working closely with IPY scientists as a pathway to improving science education. PolarTREC has developed a successful internet-based platform for teachers and researchers to interact and share their diverse experiences and expertise by creating interdisciplinary educational tools including online journals and forums, real-time Internet seminars, lesson plans, activities, audio, and other educational resources that address a broad range of scientific topics. These highly relevant, adaptable, and accessible resources are available to educators across the globe and have connected thousands of students and citizens to the excitement of polar science. By fostering the integration of research and education and infusing education with the thrill of discovery, PolarTREC will produce a legacy of long-term teacher-researcher collaborations and increased student knowledge of and interest in the polar regions well beyond the IPY time period. Educator and student feedback from preliminary evaluations has shown that PolarTREC's comprehensive program activities have many positive impacts on educators and their ability to teach science concepts and improve their teaching methods. Additionally, K-12 students polled in interest surveys showed significant changes in key areas including amount of time spent in school exploring research activities, importance of understanding science for future work, importance of understanding the polar regions as a person in today's world, as well as increased self-reported knowledge and interest in Science, Technology, Engineering, and Mathematics content areas. PolarTREC provides a tested approach and a clear route for researcher participation in the education community, facilitating increased educator, student, and community understanding of science and the polar regions during times of interrelated global change. For more information, visit the PolarTREC website.

The Emory Chemical Biology Discovery Center: leveraging academic innovation to advance novel targets through HTS and beyond.

PubMed

Johns, Margaret A; Meyerkord-Belton, Cheryl L; Du, Yuhong; Fu, Haian

2014-03-01

The Emory Chemical Biology Discovery Center (ECBDC) aims to accelerate high throughput biology and translation of biomedical research discoveries into therapeutic targets and future medicines by providing high throughput research platforms to scientific collaborators worldwide. ECBDC research is focused at the interface of chemistry and biology, seeking to fundamentally advance understanding of disease-related biology with its HTS/HCS platforms and chemical tools, ultimately supporting drug discovery. Established HTS/HCS capabilities, university setting, and expertise in diverse assay formats, including protein-protein interaction interrogation, have enabled the ECBDC to contribute to national chemical biology efforts, empower translational research, and serve as a training ground for young scientists. With these resources, the ECBDC is poised to leverage academic innovation to advance biology and therapeutic discovery.

Medical knowledge discovery and management.

PubMed

Prior, Fred

2009-05-01

Although the volume of medical information is growing rapidly, the ability to rapidly convert this data into "actionable insights" and new medical knowledge is lagging far behind. The first step in the knowledge discovery process is data management and integration, which logically can be accomplished through the application of data warehouse technologies. A key insight that arises from efforts in biosurveillance and the global scope of military medicine is that information must be integrated over both time (longitudinal health records) and space (spatial localization of health-related events). Once data are compiled and integrated it is essential to encode the semantics and relationships among data elements through the use of ontologies and semantic web technologies to convert data into knowledge. Medical images form a special class of health-related information. Traditionally knowledge has been extracted from images by human observation and encoded via controlled terminologies. This approach is rapidly being replaced by quantitative analyses that more reliably support knowledge extraction. The goals of knowledge discovery are the improvement of both the timeliness and accuracy of medical decision making and the identification of new procedures and therapies.

Taking stock of current societal, political and academic stakeholders in the Canadian healthcare knowledge translation agenda

PubMed Central

Newton, Mandi S; Scott-Findlay, Shannon

2007-01-01

Background In the past 15 years, knowledge translation in healthcare has emerged as a multifaceted and complex agenda. Theoretical and polemical discussions, the development of a science to study and measure the effects of translating research evidence into healthcare, and the role of key stakeholders including academe, healthcare decision-makers, the public, and government funding bodies have brought scholarly, organizational, social, and political dimensions to the agenda. Objective This paper discusses the current knowledge translation agenda in Canadian healthcare and how elements in this agenda shape the discovery and translation of health knowledge. Discussion The current knowledge translation agenda in Canadian healthcare involves the influence of values, priorities, and people; stakes which greatly shape the discovery of research knowledge and how it is or is not instituted in healthcare delivery. As this agenda continues to take shape and direction, ensuring that it is accountable for its influences is essential and should be at the forefront of concern to the Canadian public and healthcare community. This transparency will allow for scrutiny, debate, and improvements in health knowledge discovery and health services delivery. PMID:17916256

Development and Implementation of Collaborative e-Infrastructures and Data Management for Global Change Research

NASA Astrophysics Data System (ADS)

Allison, M. Lee; Davis, Rowena

2016-04-01

An e-infrastructure that supports data-intensive, multidisciplinary research is needed to accelerate the pace of science to address 21st century global change challenges. Data discovery, access, sharing and interoperability collectively form core elements of an emerging shared vision of e-infrastructure for scientific discovery. The pace and breadth of change in information management across the data lifecycle means that no one country or institution can unilaterally provide the leadership and resources required to use data and information effectively, or needed to support a coordinated, global e-infrastructure. An 18-month long process involving ~120 experts in domain, computer, and social sciences from more than a dozen countries resulted in a formal set of recommendations that were adopted in fall, 2015 by the Belmont Forum collaboration of national science funding agencies and international bodies on what they are best suited to implement for development of an e-infrastructure in support of global change research, including: • adoption of data principles that promote a global, interoperable e-infrastructure, that can be enforced • establishment of information and data officers for coordination of global data management and e-infrastructure efforts • promotion of effective data planning and stewardship • determination of international and community best practices for adoption • development of a cross-disciplinary training curriculum on data management and curation The implementation plan is being executed under four internationally-coordinated Action Themes towards a globally organized, internationally relevant e-infrastructure and data management capability drawn from existing components, protocols, and standards. The Belmont Forum anticipates opportunities to fund additional projects to fill key gaps and to integrate best practices into an e-infrastructure to support their programs but that can also be scaled up and deployed more widely. Background The Belmont Forum is a global consortium established in 2009 to build on the work of the International Group of Funding Agencies for Global Change Research toward furthering collaborative efforts to deliver knowledge needed for action to avoid and adapt to detrimental environmental change, including extreme hazardous events.

Incidence of Group Awareness Information on Students' Collaborative Learning Processes

ERIC Educational Resources Information Center

Pifarré, M.; Cobos, R.; Argelagós, E.

2014-01-01

This paper studies how the integration of group awareness tools in the knowledge management system called KnowCat (Knowledge Catalyser), which promotes collaborative knowledge construction, may both foster the students' perception about the meaningfulness of visualization of group awareness information and promote better collaborative…

Improving Collaborative Learning in the Classroom: Text Mining Based Grouping and Representing

ERIC Educational Resources Information Center

Erkens, Melanie; Bodemer, Daniel; Hoppe, H. Ulrich

2016-01-01

Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…

Strategizing Computer-Supported Collaborative Learning toward Knowledge Building

ERIC Educational Resources Information Center

Mukama, Evode

2010-01-01

The purpose of this paper is to explore how university students can develop knowledge in small task-based groups while acquiring hands-on computer skills. Inspired by the sociocultural perspective, this study presents a theoretical framework on co-construction of knowledge and on computer-supported collaborative learning. The participants were…

Using Wikis for Learning and Knowledge Building: Results of an Experimental Study

ERIC Educational Resources Information Center

Kimmerle, Joachim; Moskaliuk, Johannes; Cress, Ulrike

2011-01-01

Computer-supported learning and knowledge building play an increasing role in online collaboration. This paper outlines some theories concerning the interplay between individual processes of learning and collaborative processes of knowledge building. In particular, it describes the co-evolution model that attempts to examine processes of learning…

Collaborative Knowledge Production Model in the Field of Organizational Development

ERIC Educational Resources Information Center

Ramstad, Elise

2008-01-01

The paper proposes a framework for collaborative knowledge production in order to enhance the amount and quality of knowledge in the field of organizational development (OD). We distinguish three types of actors that offer development services for work organizations: academic R&D units, training and educational institutes and management…

Collaborative Learning: Higher Education, Interdependence, and the Authority of Knowledge.

ERIC Educational Resources Information Center

Bruffee, Kenneth A.

This volume explores the role and implications of collaborative learning for the mission and future of higher education and college teaching. Part I discusses the implications of nonfoundational social constructionist thought for colleges and universities. Nonfoundational notions of knowledge and social relations argue that knowledge has no…

Pursuing common agendas: a collaborative model for knowledge translation between research and practice in clinical settings.

PubMed

Baumbusch, Jennifer L; Kirkham, Sheryl Reimer; Khan, Koushambhi Basu; McDonald, Heather; Semeniuk, Pat; Tan, Elsie; Anderson, Joan M

2008-04-01

There is an emerging discourse of knowledge translation that advocates a shift away from unidirectional research utilization and evidence-based practice models toward more interactive models of knowledge transfer. In this paper, we describe how our participatory approach to knowledge translation developed during an ongoing program of research concerning equitable care for diverse populations. At the core of our approach is a collaborative relationship between researchers and practitioners, which underpins the knowledge translation cycle, and occurs simultaneously with data collection/analysis/synthesis. We discuss lessons learned including: the complexities of translating knowledge within the political landscape of healthcare delivery, the need to negotiate the agendas of researchers and practitioners in a collaborative approach, and the kinds of resources needed to support this process.

Explaining Authors' Contribution to Pivotal Artifacts during Mass Collaboration in the Wikipedia's Knowledge Base

ERIC Educational Resources Information Center

Halatchliyski, Iassen; Moskaliuk, Johannes; Kimmerle, Joachim; Cress, Ulrike

2014-01-01

This article discusses the relevance of large-scale mass collaboration for computer-supported collaborative learning (CSCL) research, adhering to a theoretical perspective that views collective knowledge both as substance and as participatory activity. In an empirical study using the German Wikipedia as a data source, we explored collective…

Improving Virtual Team Collaboration Outcomes through Collaboration Process Structuring

ERIC Educational Resources Information Center

Dittman, Dawn R.; Hawkes, Mark; Deokar, Amit V.; Sarnikar, Surendra

2010-01-01

The ability to collaborate in a virtual team is a necessary skill set for today's knowledge workers and students to be effective in their work. Past research indicates that knowledge workers and students need to establish a formal process to perform work, develop clear goals and objectives, and facilitate better communication among team members.…

Arkose: A Prototype Mechanism and Tool for Collaborative Information Generation and Distillation

ERIC Educational Resources Information Center

Nam, Kevin Kyung

2010-01-01

The goals of this thesis have been to gain a better understanding of collaborative knowledge sharing and distilling and to build a prototype collaborative system that supports flexible knowledge generation and distillation. To reach these goals, I have conducted two user studies and built two systems. The first system, Arkose 1.0, is a…

Supporting decisions through the Study of Environmental Arctic Change (SEARCH) Program: A History and Way Forward

NASA Astrophysics Data System (ADS)

Druckenmiller, M. L.; Wiggins, H. V.; Eicken, H.; Francis, J. A.; Huntington, H.; Scambos, T. A.

2015-12-01

The Study of Environmental Arctic Change (SEARCH), ongoing since the early-2000s, aims to develop scientific knowledge to help society understand and respond to the rapidly changing Arctic. Through collaboration with the research community, funding agencies, national and international science programs, and other stakeholders, SEARCH facilitates research activities across local-to-global scales, with increasing emphasis on addressing the information needs of policy and decision-makers. This talk will explore the program's history, spanning its earliest efforts to understand interrelated atmospheric, oceanic, and terrestrial changes in the Arctic to more recent objectives of providing stakeholder-relevant information, such as community-wide summaries of the expected arctic summer sea ice minimum or up-to-date information on sea ice conditions to Alaska Native walrus hunters in the Bering and Chukchi Seas. We will discuss SEARCH's recent shift toward a "Knowledge to Action" vision and implementation of focused Action Teams to: (1) improve understanding, advance prediction, and explore consequences of changing arctic sea ice; (2) document and understand how degradation of near-surface permafrost will affect arctic and global systems; and (3) improve predictions of future land-ice loss and impacts on sea level. Tracking and evaluating how scientific information from such research reaches stakeholders and informs decisions are critical for interactions that allow the research community to keep pace with an evolving landscape of arctic decision-makers. Examples will be given for the new directions these Action Teams are taking regarding science communication and approaches for research community collaboration to synthesize research findings and promote arctic science and interdisciplinary scientific discovery.

How does non-formal marine education affect student attitude and knowledge? A case study using SCDNR's Discovery program

NASA Astrophysics Data System (ADS)

McGovern, Mary Francis

Non-formal environmental education provides students the opportunity to learn in ways that would not be possible in a traditional classroom setting. Outdoor learning allows students to make connections to their environment and helps to foster an appreciation for nature. This type of education can be interdisciplinary---students not only develop skills in science, but also in mathematics, social studies, technology, and critical thinking. This case study focuses on a non-formal marine education program, the South Carolina Department of Natural Resources' (SCDNR) Discovery vessel based program. The Discovery curriculum was evaluated to determine impact on student knowledge about and attitude toward the estuary. Students from two South Carolina coastal counties who attended the boat program during fall 2014 were asked to complete a brief survey before, immediately after, and two weeks following the program. The results of this study indicate that both student knowledge about and attitude significantly improved after completion of the Discovery vessel based program. Knowledge and attitude scores demonstrated a positive correlation.

Collaborative Model for Acceleration of Individualized Therapy of Colon Cancer

DTIC Science & Technology

2015-12-01

preclinical models are representative of actual patient samples and may be useful in early drug development and predictive biomarker discovery...Award Number: W81XWH-11-1-0527 TITLE: Collaborative Model for Acceleration of Individualized Therapy of Colon Cancer PRINCIPAL INVESTIGATOR: Aik...Choon Tan CONTRACTING ORGANIZATION: UNIVERSITY OF COLORADO, DENVER AURORA, CO 80045-2505 REPORT DATE: December 2015 TYPE OF REPORT: FINAL REPORT

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

Fermilab

Fermilab is America’s premier laboratory for particle physics and accelerator research, funded by the U.S. Department of Energy. Thousands of scientists around the world collaborate with Fermilab on research at the frontiers of discovery.

Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery.

PubMed

Barnes, Michael R; Harland, Lee; Foord, Steven M; Hall, Matthew D; Dix, Ian; Thomas, Scott; Williams-Jones, Bryn I; Brouwer, Cory R

2009-09-01

Pharmaceutical research and development is facing substantial challenges that have prompted the industry to shift funding from early- to late-stage projects. Among the effects is a major change in the attitude of many companies to their internal bioinformatics resources: the focus has moved from the vigorous pursuit of intellectual property towards exploration of pre-competitive cross-industry collaborations and engagement with the public domain. High-quality, open and accessible data are the foundation of pre-competitive research, and strong public-private partnerships have considerable potential to enhance public data resources, which would benefit everyone engaged in drug discovery. In this article, we discuss the background to these changes and propose new areas of collaboration in computational biology and chemistry between the public domain and the pharmaceutical industry.

Placing "Knowledge" in Teacher Education in the English Further Education Sector: An Alternative Approach Based on Collaboration and Evidence-Based Research

ERIC Educational Resources Information Center

Loo, Sai Y.

2014-01-01

This paper focuses on teacher education in the English further education sector, where the teaching of disciplinary and pedagogic knowledge is an issue. Using research findings, the paper advocates an approach based on collaboration and informed research to emphasize and integrate knowledge(s) in situated teaching contexts despite working in a…

Therapeutics discovery: From bench to first in-human trials*

PubMed Central

Al-Hujaily, Ensaf M.; Khatlani, Tanvir; Alehaideb, Zeyad; Ali, Rizwan; Almuzaini, Bader; Alrfaei, Bahauddeen M; Iqbal, Jahangir; Islam, Imadul; Malik, Shuja; Marwani, Bader A; Massadeh, Salam; Nehdi, Atef; Alsomaie, Barrak; Debasi, Bader; Bushnak, Ibraheem; Noibi, Saeed; Hussain, Syed; Wajid, Wahid Abdul; Armand, Jean-Pierre; Gul, Sheraz; Oyarzabal, Julen; Rais, Rana; Bountra, Chas; Alaskar, Ahmed; Knawy, Bander Al; Boudjelal, Mohamed

2018-01-01

The ‘Therapeutics discovery: From bench to first in-human trials’ conference, held at the King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs (MNGHA), Kingdom of Saudi Arabia (KSA) from October 10–12, 2017, provided a unique opportunity for experts worldwide to discuss advances in drug discovery and development, focusing on phase I clinical trials. It was the first event of its kind to be hosted at the new research center, which was constructed to boost drug discovery and development in the KSA in collaboration with institutions, such as the Academic Drug Discovery Consortium in the United States of America (USA), Structural Genomics Consortium of the University of Oxford in the United Kingdom (UK), and Institute of Materia Medica of the Chinese Academy of Medical Sciences in China. The program was divided into two parts. A pre-symposium day took place on October 10, during which courses were conducted on clinical trials, preclinical drug discovery, molecular biology and nanofiber research. The attendees had the opportunity for one-to-one meetings with international experts to exchange information and foster collaborations. In the second part of the conference, which took place on October 11 and 12, the clinical trials pipeline, design and recruitment of volunteers, and economic impact of clinical trials were discussed. The Saudi Food and Drug Administration presented the regulations governing clinical trials in the KSA. The process of preclinical drug discovery from small molecules, cellular and immunologic therapies, and approaches to identifying new targets were also presented. The recommendation of the conference was that researchers in the KSA must invest more fund, talents and infrastructure to lead the region in phase I clinical trials and preclinical drug discovery. Diseases affecting the local population, such as Middle East Respiratory Syndrome and resistant bacterial infections, represent the optimal starting point. PMID:29564125

Reporting Astronomical Discoveries: Past, Now, and Future

NASA Astrophysics Data System (ADS)

Yamaoka, Hitoshi; Green, Daniel W. E.; Samus, Nikolai N.; West, Richard

2015-08-01

Many new astronomical objects have been discovered over the years by amateur astronomers, and this continues to be the case. They have traditionally reported them (as have professional astronomers) to the Central Bureau for Astronomical Telegrams (CBAT), which was established in the 19th century. This procedure has worked very well throughout the 20th century, moving under the umbrella of the newly established IAU in 1920. The discoverers have been honored by the formal announcement of their discoveries in the publications of the CBAT.In recent years, some professional research groups have established other ways of announcing their discoveries of explosive objects such as novae and supernovae; some do not now report their discoveries or spectroscopic confirmations of the transients to the CBAT, including often spectroscopic reports of objects posted to the CBAT "Transient Objects Confirmation Page" -- the highly successful TOCP webpage, which assigns official positional designations to new transients posted there by approved, registered users. This leads to a delay in formal announcements of discoveries by amateur astronomers in many cases, as well as inconsistent designations being put into use by individual groups. Amateur astronomers are feeling frustrated about this situation, and they hope that the IAU will help to settle the situation.We have proposed the new IAU commission NC-52, which will treat these phenomena in a continuation of Commission 6, through the CBAT. We hope to continuously support the reporting of the discoveries by amateur astronomers, as well as professional astronomers, who all deserve and desire proper recognition. Our strategy will maintain the firm trust between the amateur and professional astronomers, which is necessary for true collaboration. The plan is for the CBAT to work with collaborators to assure that discoveries posted on the TOCP are promptly designated and announced by the CBAT, even when confirmations are made elsewhere. All discoverers are encouraged to send their discovery information for transients to the CBAT (particularly for those objects brighter than visual or red magnitude 20).

Therapeutics discovery: From bench to first in-human trials.

PubMed

Al-Hujaily, Ensaf M; Khatlani, Tanvir; Alehaideb, Zeyad; Ali, Rizwan; Almuzaini, Bader; Alrfaei, Bahauddeen M; Iqbal, Jahangir; Islam, Imadul; Malik, Shuja; Marwani, Bader A; Massadeh, Salam; Nehdi, Atef; Alsomaie, Barrak; Debasi, Bader; Bushnak, Ibraheem; Noibi, Saeed; Hussain, Syed; Wajid, Wahid Abdul; Armand, Jean-Pierre; Gul, Sheraz; Oyarzabal, Julen; Rais, Rana; Bountra, Chas; Alaskar, Ahmed; Knawy, Bander Al; Boudjelal, Mohamed

2018-03-01

The 'Therapeutics discovery: From bench to first in-human trials' conference, held at the King Abdullah International Medical Research Center (KAIMRC), Ministry of National Guard Health Affairs (MNGHA), Kingdom of Saudi Arabia (KSA) from October 10-12, 2017, provided a unique opportunity for experts worldwide to discuss advances in drug discovery and development, focusing on phase I clinical trials. It was the first event of its kind to be hosted at the new research center, which was constructed to boost drug discovery and development in the KSA in collaboration with institutions, such as the Academic Drug Discovery Consortium in the United States of America (USA), Structural Genomics Consortium of the University of Oxford in the United Kingdom (UK), and Institute of Materia Medica of the Chinese Academy of Medical Sciences in China. The program was divided into two parts. A pre-symposium day took place on October 10, during which courses were conducted on clinical trials, preclinical drug discovery, molecular biology and nanofiber research. The attendees had the opportunity for one-to-one meetings with international experts to exchange information and foster collaborations. In the second part of the conference, which took place on October 11 and 12, the clinical trials pipeline, design and recruitment of volunteers, and economic impact of clinical trials were discussed. The Saudi Food and Drug Administration presented the regulations governing clinical trials in the KSA. The process of preclinical drug discovery from small molecules, cellular and immunologic therapies, and approaches to identifying new targets were also presented. The recommendation of the conference was that researchers in the KSA must invest more fund, talents and infrastructure to lead the region in phase I clinical trials and preclinical drug discovery. Diseases affecting the local population, such as Middle East Respiratory Syndrome and resistant bacterial infections, represent the optimal starting point.

The Knowledge Web: Learning and Collaborating on the Net. Open and Distance Learning Series.

ERIC Educational Resources Information Center

Eisenstadt, Marc, Ed.; Vincent, Tom, Ed.

This book contains a collection of examples of new and effective uses of the World Wide Web in education from the Knowledge Media Institute (KMi) at the Open University (Great Britain). The publication is organized in three main sections--"Learning Media,""Collaboration and Presence," and "Knowledge Systems on the…

Two Tales of Time: Uncovering the Significance of Sequential Patterns among Contribution Types in Knowledge-Building Discourse

ERIC Educational Resources Information Center

Chen, Bodong; Resendes, Monica; Chai, Ching Sing; Hong, Huang-Yao

2017-01-01

As collaborative learning is actualized through evolving dialogues, temporality inevitably matters for the analysis of collaborative learning. This study attempts to uncover sequential patterns that distinguish "productive" threads of knowledge-building discourse. A database of Grade 1-6 knowledge-building discourse was first coded for…

Knowledge Translation and Interprofessional Collaboration: Where the Rubber of Evidence-Based Care Hits the Road of Teamwork

ERIC Educational Resources Information Center

Zwarenstein, Merrick; Reeves, Scott

2006-01-01

Knowledge-translation interventions and interprofessional education and collaboration interventions all aim at improving health care processes and outcomes. Knowledge-translation interventions attempt to increase evidence-based practice by a single professional group and thus may fail to take into account barriers from difficulties in…

Collaborative Learning and Knowledge-Construction through a Knowledge-Based WWW Authoring Tool.

ERIC Educational Resources Information Center

Haugsjaa, Erik

This paper outlines hurdles to using the World Wide Web for learning, specifically in a collaborative knowledge-construction environment. Theoretical solutions based directly on existing Web environments, as well as on research and system prototypes in the areas of Intelligent Tutoring Systems (ITS) and ITS authoring systems, are suggested. Topics…

A Collaborative Multimedia Annotation Tool for Enhancing Knowledge Sharing in CSCL

ERIC Educational Resources Information Center

Yang, Stephen J. H.; Zhang, Jia; Su, Addison Y. S.; Tsai, Jeffrey J. P.

2011-01-01

Knowledge sharing in computer supported collaborative learning (CSCL) requires intensive social interactions among participants, typically in the form of annotations. An annotation refers to an explicit expression of knowledge that is attached to a document to reveal the conceptual meanings of an annotator's implicit thoughts. In this research, we…

Coordinated Implicitly? An Empirical Study on the Role of Social Media in Collaborative Learning

ERIC Educational Resources Information Center

Zhang, Xi; Chen, Hui; Ordóñez de Pablos, Patricia; Lytras, Miltiadis D.; Sun, Yongqiang

2016-01-01

As social media is widely adopted in collaborative learning, which places teams in a virtual environment, it is critical for teams to identify and leverage the knowledge of their members. Yet little is known about how social media influences teams to coordinate their knowledge and collaborate effectively. In this research, we explore the roles of…

Studying Research Collaboration Patterns via Co-authorship Analysis in the Field of TeL: The Case of "Educational Technology & Society" Journal

ERIC Educational Resources Information Center

Zervas, Panagiotis; Tsitmidelli, Asimenia; Sampson, Demetrios G.; Chen, Nian-Shing; Kinshuk

2014-01-01

Research collaboration is studied in different research areas, so as to provide useful insights on how researchers combine existing distributed scientific knowledge and transform it into new knowledge. Commonly used metrics for measuring research collaborative activity include, among others, the co-authored publications (concerned with who works…

A Collaborative Problem-solving Process Through Environmental Field Studies

NASA Astrophysics Data System (ADS)

Kim, Mijung; Teck Tan, Hoe

2013-02-01

This study explored and documented students' responses to opportunities for collective knowledge building and collaboration in a problem-solving process within complex environmental challenges and pressing issues with various dimensions of knowledge and skills. Middle-school students (n = 16; age 14) and high-school students (n = 16; age 17) from two Singapore public institutions participated in an environmental science field study to experience knowledge integration and a decision-making process. Students worked on six research topics to understand the characteristics of an organic farm and plan for building an ecological village. Students collected and analysed data from the field and shared their findings. Their field work and discussions were video-recorded, and their reflective notes and final reports were collected for data coding and interpretation. The results revealed that throughout the study, students experienced the needs and development of integrated knowledge, encountered the challenges of knowledge sharing and communication during their collaboration, and learned how to cope with the difficulties. Based on research findings, this study further discusses students' learning through a collaborative problem-solving process, including the interdependence of knowledge and the development of mutual relationships such as respect and care for others' knowledge and learning.

Research and Discovery Science and the Future of Dental Education and Practice.

PubMed

Polverini, Peter J; Krebsbach, Paul H

2017-09-01

Dental graduates of 2040 will face new and complex challenges. If they are to meet these challenges, dental schools must develop a research and discovery mission that will equip graduates with the new knowledge required to function in a modern health care environment. The dental practitioner of 2040 will place greater emphasis on risk assessment, disease prevention, and health maintenance; and the emerging discipline of precision medicine and systems biology will revolutionize disease diagnosis and reveal new targeted therapies. The dental graduate of 2040 will be expected to function effectively in a collaborative, learning health care system and to understand the impact of health care policy on local, national, and global communities. Emerging scientific fields such as big data analytics, stem cell biology, tissue engineering, and advanced biomimetics will impact dental practice. Despite all the warning signs indicating how the changing scientific and heath care landscape will dramatically alter dental education and dental practice, dental schools have yet to reconsider their research and educational priorities and clinical practice objectives. Until dental schools and the practicing community come to grips with these challenges, this persistent attitude of complacency will likely be at the dental profession's peril. This article was written as part of the project "Advancing Dental Education in the 21 st Century."

Integration of cardiac proteome biology and medicine by a specialized knowledgebase.

PubMed

Zong, Nobel C; Li, Haomin; Li, Hua; Lam, Maggie P Y; Jimenez, Rafael C; Kim, Christina S; Deng, Ning; Kim, Allen K; Choi, Jeong Ho; Zelaya, Ivette; Liem, David; Meyer, David; Odeberg, Jacob; Fang, Caiyun; Lu, Hao-Jie; Xu, Tao; Weiss, James; Duan, Huilong; Uhlen, Mathias; Yates, John R; Apweiler, Rolf; Ge, Junbo; Hermjakob, Henning; Ping, Peipei

2013-10-12

Omics sciences enable a systems-level perspective in characterizing cardiovascular biology. Integration of diverse proteomics data via a computational strategy will catalyze the assembly of contextualized knowledge, foster discoveries through multidisciplinary investigations, and minimize unnecessary redundancy in research efforts. The goal of this project is to develop a consolidated cardiac proteome knowledgebase with novel bioinformatics pipeline and Web portals, thereby serving as a new resource to advance cardiovascular biology and medicine. We created Cardiac Organellar Protein Atlas Knowledgebase (COPaKB; www.HeartProteome.org), a centralized platform of high-quality cardiac proteomic data, bioinformatics tools, and relevant cardiovascular phenotypes. Currently, COPaKB features 8 organellar modules, comprising 4203 LC-MS/MS experiments from human, mouse, drosophila, and Caenorhabditis elegans, as well as expression images of 10,924 proteins in human myocardium. In addition, the Java-coded bioinformatics tools provided by COPaKB enable cardiovascular investigators in all disciplines to retrieve and analyze pertinent organellar protein properties of interest. COPaKB provides an innovative and interactive resource that connects research interests with the new biological discoveries in protein sciences. With an array of intuitive tools in this unified Web server, nonproteomics investigators can conveniently collaborate with proteomics specialists to dissect the molecular signatures of cardiovascular phenotypes.

A Workflow-based Intelligent Network Data Movement Advisor with End-to-end Performance Optimization

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

Zhu, Michelle M.; Wu, Chase Q.

2013-11-07

Next-generation eScience applications often generate large amounts of simulation, experimental, or observational data that must be shared and managed by collaborative organizations. Advanced networking technologies and services have been rapidly developed and deployed to facilitate such massive data transfer. However, these technologies and services have not been fully utilized mainly because their use typically requires significant domain knowledge and in many cases application users are even not aware of their existence. By leveraging the functionalities of an existing Network-Aware Data Movement Advisor (NADMA) utility, we propose a new Workflow-based Intelligent Network Data Movement Advisor (WINDMA) with end-to-end performance optimization formore » this DOE funded project. This WINDMA system integrates three major components: resource discovery, data movement, and status monitoring, and supports the sharing of common data movement workflows through account and database management. This system provides a web interface and interacts with existing data/space management and discovery services such as Storage Resource Management, transport methods such as GridFTP and GlobusOnline, and network resource provisioning brokers such as ION and OSCARS. We demonstrate the efficacy of the proposed transport-support workflow system in several use cases based on its implementation and deployment in DOE wide-area networks.« less

Towards Building a Bridge between Community Engagement in Research (CEnR) and Comparative Effectiveness Research (CER).

PubMed

Ahmed, Syed M; Nelson, David; Kissack, Anne; Franco, Zeno; Whittle, Jeff; Kotchen, Theodore; Meurer, John R; Morzinski, Jeffrey; Brandenburg, Terry

2015-04-01

A major national priority is establishing an effective infrastructure for translation of scientific discoveries into the community. Knowledge and practice continue to accelerate in health research yet healthcare recommendation adoption remains slow for practitioners, patients, and communities. Two areas of research placed in the later stages of the translational research spectrum, Community Engagement in Research and Comparative Effectiveness Research, are ideal for approaching this challenge collaboratively. The Clinical and Translational Science Institute of Southeastern Wisconsin convened academics and community-based organizations familiar with these fields of research in a 1-day workshop to establish an initial dialogue on similarities and differences with a goal of exploring ways to operationalize a collective effort. Participants represented four academic institutions and twelve other healthcare and community-based service organizations. Primary fields of study included community engaged research, comparative effectiveness research, psychology, clinical research, administration, nursing, public health, education, and other professionals. This initial report outlines the results of this diverse discussion and provides insights into the priorities, diverging issues, and areas for future examination and practice. Key discoveries reveal clear crosscutting issues, value in philosophical and provocative discussions among investigators, a need for practice and lessons learned, and bidirectional exchange with community representation. © 2014 Wiley Periodicals, Inc.

Blood-based biomarkers in Alzheimer disease: Current state of the science and a novel collaborative paradigm for advancing from discovery to clinic.

PubMed

O'Bryant, Sid E; Mielke, Michelle M; Rissman, Robert A; Lista, Simone; Vanderstichele, Hugo; Zetterberg, Henrik; Lewczuk, Piotr; Posner, Holly; Hall, James; Johnson, Leigh; Fong, Yiu-Lian; Luthman, Johan; Jeromin, Andreas; Batrla-Utermann, Richard; Villarreal, Alcibiades; Britton, Gabrielle; Snyder, Peter J; Henriksen, Kim; Grammas, Paula; Gupta, Veer; Martins, Ralph; Hampel, Harald

2017-01-01

The last decade has seen a substantial increase in research focused on the identification of blood-based biomarkers that have utility in Alzheimer's disease (AD). Blood-based biomarkers have significant advantages of being time- and cost-efficient as well as reduced invasiveness and increased patient acceptance. Despite these advantages and increased research efforts, the field has been hampered by lack of reproducibility and an unclear path for moving basic discovery toward clinical utilization. Here we reviewed the recent literature on blood-based biomarkers in AD to provide a current state of the art. In addition, a collaborative model is proposed that leverages academic and industry strengths to facilitate the field in moving past discovery only work and toward clinical use. Key resources are provided. This new public-private partnership model is intended to circumvent the traditional handoff model and provide a clear and useful paradigm for the advancement of biomarker science in AD and other neurodegenerative diseases. Copyright © 2016 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Blood Based Biomarkers in Alzheimer Disease: Current State of the Science and a Novel Collaborative Paradigm for Advancing from Discovery to Clinic

PubMed Central

O’Bryant, Sid E.; Mielke, Michelle M.; Rissman, Robert A.; Lista, Simone; Vanderstichele, Hugo; Zetterberg, Henrik; Lewczuk, Piotr; Posner, Holly; Hall, James; Johnson, Leigh; Fong, Yiu-Lian; Luthman, Johan; Jeromin, Andreas; Batrla-Utermann, Richard; Villarreal, Alcibiades; Britton, Gabrielle; Snyder, Peter J.; Henriksen, Kim; Grammas, Paula; Gupta, Veer; Martins, Ralph; Hampel, Harald

2016-01-01

The last decade has seen a substantial increase in research focused on the identification of blood-based biomarkers that have utility in Alzheimer’s disease (AD). Blood-based biomarkers have significant advantages of being time- and cost-efficient as well as reduced invasiveness and increased patient acceptance. Despite these advantages and increased research efforts, the field has been hampered by lack of reproducibility as well as an unclear path for moving basic discovery towards clinical utilization. Here we reviewed the recent literature on blood-based biomarkers in AD to provide a current state-of-the-art. Additionally, a collaborative model is proposed that leverages academic and industry strengths to facilitate the field in moving past discovery only work and towards clinical use. Key resources are provided. This new public-private partnership model is intended to circumvent the traditional hand-off model and provide a clear and useful paradigm for the advancement of biomarker science in AD and other neurodegenerative diseases. PMID:27870940

A bioinformatics knowledge discovery in text application for grid computing

PubMed Central

Castellano, Marcello; Mastronardi, Giuseppe; Bellotti, Roberto; Tarricone, Gianfranco

2009-01-01

Background A fundamental activity in biomedical research is Knowledge Discovery which has the ability to search through large amounts of biomedical information such as documents and data. High performance computational infrastructures, such as Grid technologies, are emerging as a possible infrastructure to tackle the intensive use of Information and Communication resources in life science. The goal of this work was to develop a software middleware solution in order to exploit the many knowledge discovery applications on scalable and distributed computing systems to achieve intensive use of ICT resources. Methods The development of a grid application for Knowledge Discovery in Text using a middleware solution based methodology is presented. The system must be able to: perform a user application model, process the jobs with the aim of creating many parallel jobs to distribute on the computational nodes. Finally, the system must be aware of the computational resources available, their status and must be able to monitor the execution of parallel jobs. These operative requirements lead to design a middleware to be specialized using user application modules. It included a graphical user interface in order to access to a node search system, a load balancing system and a transfer optimizer to reduce communication costs. Results A middleware solution prototype and the performance evaluation of it in terms of the speed-up factor is shown. It was written in JAVA on Globus Toolkit 4 to build the grid infrastructure based on GNU/Linux computer grid nodes. A test was carried out and the results are shown for the named entity recognition search of symptoms and pathologies. The search was applied to a collection of 5,000 scientific documents taken from PubMed. Conclusion In this paper we discuss the development of a grid application based on a middleware solution. It has been tested on a knowledge discovery in text process to extract new and useful information about symptoms and pathologies from a large collection of unstructured scientific documents. As an example a computation of Knowledge Discovery in Database was applied on the output produced by the KDT user module to extract new knowledge about symptom and pathology bio-entities. PMID:19534749

A bioinformatics knowledge discovery in text application for grid computing.

PubMed

Castellano, Marcello; Mastronardi, Giuseppe; Bellotti, Roberto; Tarricone, Gianfranco

2009-06-16

A fundamental activity in biomedical research is Knowledge Discovery which has the ability to search through large amounts of biomedical information such as documents and data. High performance computational infrastructures, such as Grid technologies, are emerging as a possible infrastructure to tackle the intensive use of Information and Communication resources in life science. The goal of this work was to develop a software middleware solution in order to exploit the many knowledge discovery applications on scalable and distributed computing systems to achieve intensive use of ICT resources. The development of a grid application for Knowledge Discovery in Text using a middleware solution based methodology is presented. The system must be able to: perform a user application model, process the jobs with the aim of creating many parallel jobs to distribute on the computational nodes. Finally, the system must be aware of the computational resources available, their status and must be able to monitor the execution of parallel jobs. These operative requirements lead to design a middleware to be specialized using user application modules. It included a graphical user interface in order to access to a node search system, a load balancing system and a transfer optimizer to reduce communication costs. A middleware solution prototype and the performance evaluation of it in terms of the speed-up factor is shown. It was written in JAVA on Globus Toolkit 4 to build the grid infrastructure based on GNU/Linux computer grid nodes. A test was carried out and the results are shown for the named entity recognition search of symptoms and pathologies. The search was applied to a collection of 5,000 scientific documents taken from PubMed. In this paper we discuss the development of a grid application based on a middleware solution. It has been tested on a knowledge discovery in text process to extract new and useful information about symptoms and pathologies from a large collection of unstructured scientific documents. As an example a computation of Knowledge Discovery in Database was applied on the output produced by the KDT user module to extract new knowledge about symptom and pathology bio-entities.

Amateur Astronomers as Champions of IYA

NASA Astrophysics Data System (ADS)

Berendsen, M.; White, V.; Hawkins, I.; Mayo, L.; Pompea, S. M.; Sparks, R.; Day, B.; Mann, T.; Walker, C.; Fienberg, R. T.

2008-11-01

One of the main goals of the International Year of Astronomy 2009 (IYA2009) is to provide the public with opportunities to experience the universe through the eyepiece of a telescope. Amateur astronomers are uniquely equipped to fulfill this goal by offering their knowledge, time, and telescopes at public events in their communities. The NASA Night Sky Network (http://nightsky.jpl.nasa.gov) will be a hub for access to programs that support amateur astronomers doing such outreach during IYA2009, including a set of monthly themes with materials and activities to complement each theme. Many of the programs will be available to amateur astronomers worldwide. Among the other programs and organizations collaborating with the ASP to provide resources to amateur astronomers in their roles as informal educators during IYA2009 are: GLOBE at Night, Dark Skies Discovery Sites, NASA's LCROSS Mission, IYA's Looking through a Telescope working group, NASA's Sun-Earth Connection, and Galileoscopes.

The Particle-in-Cell and Kinetic Simulation Software Center

NASA Astrophysics Data System (ADS)

Mori, W. B.; Decyk, V. K.; Tableman, A.; Fonseca, R. A.; Tsung, F. S.; Hu, Q.; Winjum, B. J.; An, W.; Dalichaouch, T. N.; Davidson, A.; Hildebrand, L.; Joglekar, A.; May, J.; Miller, K.; Touati, M.; Xu, X. L.

2017-10-01

The UCLA Particle-in-Cell and Kinetic Simulation Software Center (PICKSC) aims to support an international community of PIC and plasma kinetic software developers, users, and educators; to increase the use of this software for accelerating the rate of scientific discovery; and to be a repository of knowledge and history for PIC. We discuss progress towards making available and documenting illustrative open-source software programs and distinct production programs; developing and comparing different PIC algorithms; coordinating the development of resources for the educational use of kinetic software; and the outcomes of our first sponsored OSIRIS users workshop. We also welcome input and discussion from anyone interested in using or developing kinetic software, in obtaining access to our codes, in collaborating, in sharing their own software, or in commenting on how PICKSC can better serve the DPP community. Supported by NSF under Grant ACI-1339893 and by the UCLA Institute for Digital Research and Education.

Celestial-themed Cartoons Captivate Children

NASA Astrophysics Data System (ADS)

Cappelli, V.; di Benedetto, C.

2010-12-01

Attivamente: Big discoveries with Galileo and Phineas & Ferb, an educational entertainment project for children, was a collaboration between Disney Television Italy and the Education and Public Outreach office of the INAF Astronomical Observatory of Padua, Italy. The project started during the International Year of Astronomy 2009 and came to an end in June 2010. It consisted of a cartoon series, several articles in a Disney magazine and an educational kit focused on Galileo Galilei and the Moon. The kit, called the First Astronomical Kit, was distributed to 30 000 children in Italy, and included a board game about the Moon, an observation diary and a lunar fact card. The aim of the kit was to give children some basic astronomical knowledge and to demonstrate the essential role that observation plays in understanding the heavens. This article discusses how a research institute and a major entertainment company -- each with very different working practices -- were able to work together to form a successful partnership.

Using a Teaching Intervention and Calibrated Peer Review™ Diagnostics to Improve Visual Communication Skills.

PubMed

Saterbak, Ann; Moturu, Anoosha; Volz, Tracy

2018-03-01

Rice University's bioengineering department incorporates written, oral, and visual communication instruction into its undergraduate curriculum to aid student learning and to prepare students to communicate their knowledge and discoveries precisely and persuasively. In a tissue culture lab course, we used a self- and peer-review tool called Calibrated Peer Review™ (CPR) to diagnose student learning gaps in visual communication skills on a poster assignment. We then designed an active learning intervention that required students to practice the visual communication skills that needed improvement and used CPR to measure the changes. After the intervention, we observed that students performed significantly better in their ability to develop high quality graphs and tables that represent experimental data. Based on these outcomes, we conclude that guided task practice, collaborative learning, and calibrated peer review can be used to improve engineering students' visual communication skills.

Enhancing Learning Environments through Solution-based Knowledge Discovery Tools: Forecasting for Self-Perpetuating Systemic Reform.

ERIC Educational Resources Information Center

Tsantis, Linda; Castellani, John

2001-01-01

This article explores how knowledge-discovery applications can empower educators with the information they need to provide anticipatory guidance for teaching and learning, forecast school and district needs, and find critical markers for making the best program decisions for children and youth with disabilities. Data mining for schools is…

Students and Teacher Academic Evaluation Perceptions: Methodology to Construct a Representation Based on Actionable Knowledge Discovery Framework

ERIC Educational Resources Information Center

Molina, Otilia Alejandro; Ratté, Sylvie

2017-01-01

This research introduces a method to construct a unified representation of teachers and students perspectives based on the actionable knowledge discovery (AKD) and delivery framework. The representation is constructed using two models: one obtained from student evaluations and the other obtained from teachers' reflections about their teaching…

Application of Knowledge Discovery in Databases Methodologies for Predictive Models for Pregnancy Adverse Events

ERIC Educational Resources Information Center

Taft, Laritza M.

2010-01-01

In its report "To Err is Human", The Institute of Medicine recommended the implementation of internal and external voluntary and mandatory automatic reporting systems to increase detection of adverse events. Knowledge Discovery in Databases (KDD) allows the detection of patterns and trends that would be hidden or less detectable if analyzed by…

Knowledge Discovery Process: Case Study of RNAV Adherence of Radar Track Data

NASA Technical Reports Server (NTRS)

Matthews, Bryan

2018-01-01

This talk is an introduction to the knowledge discovery process, beginning with: identifying the problem, choosing data sources, matching the appropriate machine learning tools, and reviewing the results. The overview will be given in the context of an ongoing study that is assessing RNAV adherence of commercial aircraft in the national airspace.

The Ilgarijiri Project: A collaboration between Aboriginal communities and radio astronomers in the Murchison Region of Western Australia

NASA Astrophysics Data System (ADS)

Goldsmith, John

2014-07-01

The international radio astronomy initiative known as the Square Kilometre Array is a cutting-edge science project, aimed atdramatically expanding our vision and understanding of the Universe. The $2billion+ international project is being shared between Southern Africa and Australia. The Australian component, centred in the Murchison region of Western Australia, is based upon collaboration with Aboriginal communities. A collaborative project called "Ilgarijiri- Things Belonging to the Sky" shared scientific and Aboriginal knowledge of the night sky. Through a series of collaborative meetings and knowledge sharing, the Ilgarijiri project developed and showcased Aboriginal knowledge of the night sky, via an international touring Aboriginal art exhibition, in Australia, South Africa, the USA and Europe. The Aboriginal art exhibition presents Aboriginal stories relating to the night sky, which prominently feature the 'Seven Sisters' and the 'Emu', as well as the collaborative experience with radio astronomers. The success of the Ilgarijiri collaborative project is based upon several principles, which can help to inform and guide future cultural collaborative projects.

Empowering Accelerated Personal, Professional and Scholarly Discovery among Information Seekers: An Educational Vision

ERIC Educational Resources Information Center

Harmon, Glynn

2013-01-01

The term discovery applies herein to the successful outcome of inquiry in which a significant personal, professional or scholarly breakthrough or insight occurs, and which is individually or socially acknowledged as a key contribution to knowledge. Since discoveries culminate at fixed points in time, discoveries can serve as an outcome metric for…

A Framework of Knowledge Integration and Discovery for Supporting Pharmacogenomics Target Predication of Adverse Drug Events: A Case Study of Drug-Induced Long QT Syndrome.

PubMed

Jiang, Guoqian; Wang, Chen; Zhu, Qian; Chute, Christopher G

2013-01-01

Knowledge-driven text mining is becoming an important research area for identifying pharmacogenomics target genes. However, few of such studies have been focused on the pharmacogenomics targets of adverse drug events (ADEs). The objective of the present study is to build a framework of knowledge integration and discovery that aims to support pharmacogenomics target predication of ADEs. We integrate a semantically annotated literature corpus Semantic MEDLINE with a semantically coded ADE knowledgebase known as ADEpedia using a semantic web based framework. We developed a knowledge discovery approach combining a network analysis of a protein-protein interaction (PPI) network and a gene functional classification approach. We performed a case study of drug-induced long QT syndrome for demonstrating the usefulness of the framework in predicting potential pharmacogenomics targets of ADEs.

More Than Just Chemistry: The Impact of a Collaborative Participant Structure on Student Perceptions of Science

NASA Astrophysics Data System (ADS)

Patchen, Terri; Smithenry, Dennis W.

2015-02-01

Researchers have theorized that integrating authentic science activities into classrooms will help students learn how working scientists collaboratively construct knowledge, but few empirical studies have examined students' experiences with these types of activities. Utilizing data from a comparative, mixed-methods study, we considered how integrating a complex, collaborative participant structure into a secondary school chemistry curriculum shapes students' perceptions of what constitutes "science." We found that the implementation of this participant structure expanded student perceptions of chemistry learning beyond the typical focus on science content knowledge to include the acquisition of collaboration skills. This support for the collaborative construction of knowledge, in addition to the appropriation of scientific content, establishes the conditions for what science educators and scientists say they want: students who can work together to solve science problems. Radical shifts towards such collaborative participant structures are necessary if we are to modify student perceptions of science and science classrooms in ways that are aligned with recent calls for science education reform.

Marinopyrroles: Unique Drug Discoveries Based on Marine Natural Products.

PubMed

Li, Rongshi

2016-01-01

Natural products provide a successful supply of new chemical entities (NCEs) for drug discovery to treat human diseases. Approximately half of the NCEs are based on natural products and their derivatives. Notably, marine natural products, a largely untapped resource, have contributed to drug discovery and development with eight drugs or cosmeceuticals approved by the U.S. Food and Drug Administration and European Medicines Agency, and ten candidates undergoing clinical trials. Collaborative efforts from drug developers, biologists, organic, medicinal, and natural product chemists have elevated drug discoveries to new levels. These efforts are expected to continue to improve the efficiency of natural product-based drugs. Marinopyrroles are examined here as a case study for potential anticancer and antibiotic agents. © 2015 Wiley Periodicals, Inc.

Global Collaborative STEM Education

NASA Astrophysics Data System (ADS)

Meabh Kelly, Susan; Smith, Walter

2016-04-01

Global Collaborative STEM Education, as the name suggests, simultaneously supports two sets of knowledge and skills. The first set is STEM -- science, technology, engineering and math. The other set of content knowledge and skills is that of global collaboration. Successful global partnerships require awareness of one's own culture, the biases embedded within that culture, as well as developing awareness of the collaborators' culture. Workforce skills fostered include open-mindedness, perseverance when faced with obstacles, and resourceful use of technological "bridges" to facilitate and sustain communication. In respect for the 2016 GIFT Workshop focus, Global Collaborative STEM Education projects dedicated to astronomy research will be presented. The projects represent different benchmarks within the Global Collaborative STEM Education continuum, culminating in an astronomy research experience that fully reflects how the global STEM workforce collaborates. To facilitate wider engagement in Global Collaborative STEM Education, project summaries, classroom resources and contact information for established international collaborative astronomy research projects will be disseminated.

Chemical & RNAi screening at MSKCC: a collaborative platform to discover & repurpose drugs to fight disease

PubMed Central

Bhinder, Bhavneet; Antczak, Christophe; Shum, David; Radu, Constantin; Mahida, Jeni P.; Liu-Sullivan, Nancy; Ibáñez, Glorymar; Raja, Balajee Somalinga; Calder, Paul A.; Djaballah, Hakim

2014-01-01

Memorial Sloan-Kettering Cancer Center (MSKCC) has implemented the creation of a full service state-of-the-art High-throughput Screening Core Facility (HTSCF) equipped with modern robotics and custom-built screening data management resources to rapidly store and query chemical and RNAi screening data outputs. The mission of the facility is to provide oncology clinicians and researchers alike with access to cost-effective HTS solutions for both chemical and RNAi screening, with an ultimate goal of novel target identification and drug discovery. HTSCF was established in 2003 to support the institution’s commitment to growth in molecular pharmacology and in the realm of therapeutic agents to fight chronic diseases such as cancer. This endeavor required broad range of expertise in technology development to establish robust and innovative assays, large collections of diverse chemical and RNAi duplexes to probe specific cellular events, sophisticated compound and data handling capabilities, and a profound knowledge in assay development, hit validation, and characterization. Our goal has been to strive for constant innovation, and we strongly believe in shifting the paradigm from traditional drug discovery towards translational research now, making allowance for unmet clinical needs in patients. Our efforts towards repurposing FDA-approved drugs fructified when digoxin, identified through primary HTS, was administered in the clinic for treatment of stage Vb retinoblastoma. In summary, the overall aim of our facility is to identify novel chemical probes, to study cellular processes relevant to investigator’s research interest in chemical biology and functional genomics, and to be instrumental in accelerating the process of drug discovery in academia. PMID:24661215

Climate Discovery: Integrating Research With Exhibit, Public Tours, K-12, and Web-based EPO Resources

NASA Astrophysics Data System (ADS)

Foster, S. Q.; Carbone, L.; Gardiner, L.; Johnson, R.; Russell, R.; Advisory Committee, S.; Ammann, C.; Lu, G.; Richmond, A.; Maute, A.; Haller, D.; Conery, C.; Bintner, G.

2005-12-01

The Climate Discovery Exhibit at the National Center for Atmospheric Research (NCAR) Mesa Lab provides an exciting conceptual outline for the integration of several EPO activities with other well-established NCAR educational resources and programs. The exhibit is organized into four topic areas intended to build understanding among NCAR's 80,000 annual visitors, including 10,000 school children, about Earth system processes and scientific methods contributing to a growing body of knowledge about climate and global change. These topics include: 'Sun-Earth Connections,' 'Climate Now,' 'Climate Past,' and 'Climate Future.' Exhibit text, graphics, film and electronic media, and interactives are developed and updated through collaborations between NCAR's climate research scientists and staff in the Office of Education and Outreach (EO) at the University Corporation for Atmospheric Research (UCAR). With funding from NCAR, paleoclimatologists have contributed data and ideas for a new exhibit Teachers' Guide unit about 'Climate Past.' This collection of middle-school level, standards-aligned lessons are intended to help students gain understanding about how scientists use proxy data and direct observations to describe past climates. Two NASA EPO's have funded the development of 'Sun-Earth Connection' lessons, visual media, and tips for scientists and teachers. Integrated with related content and activities from the NASA-funded Windows to the Universe web site, these products have been adapted to form a second unit in the Climate Discovery Teachers' Guide about the Sun's influence on Earth's climate. Other lesson plans, previously developed by on-going efforts of EO staff and NSF's previously-funded Project Learn program are providing content for a third Teachers' Guide unit on 'Climate Now' - the dynamic atmospheric and geological processes that regulate Earth's climate. EO has plans to collaborate with NCAR climatologists and computer modelers in the next year to develop lessons and ancillary exhibit interactives and visualizations for the final Teachers' Guide unit about 'Climate Future.' Units developed so far are available in downloadable format on the NCAR EO and Windows to the Universe web sites for dissemination to educators and the general public public. Those web sites are, respectively, (http://eo.ucar.edu/educators/ClimateDiscovery) and (http://www.windows.ucar.edu). Encouragement from funding agencies to integrate and relate resources and growing pressure to implement efficiencies in educational programs have created excellent opportunities which will be described from the viewpoints of EO staff and scientists'. Challenges related to public and student perceptions about climate and global change, the scientific endeavor, and how to establish successful dialogues between educators and scientists will also be discussed.

Dilemmatic Spaces: High-Stakes Testing and the Possibilities of Collaborative Knowledge Work to Generate Learning Innovations

ERIC Educational Resources Information Center

Singh, Parlo; Märtsin, Mariann; Glasswell, Kathryn

2015-01-01

This paper examines collaborative researcher-practitioner knowledge work around assessment data in culturally diverse, low socio-economic school communities in Queensland, Australia. Specifically, the paper draws on interview accounts about the work of a cohort of school-based researchers who acted as mediators bridging knowledge flows between a…

A Study on the Methods of Assessment and Strategy of Knowledge Sharing in Computer Course

ERIC Educational Resources Information Center

Chan, Pat P. W.

2014-01-01

With the advancement of information and communication technology, collaboration and knowledge sharing through technology is facilitated which enhances the learning process and improves the learning efficiency. The purpose of this paper is to review the methods of assessment and strategy of collaboration and knowledge sharing in a computer course,…

What Next?

NASA Astrophysics Data System (ADS)

Moore, John W.

2000-01-01

In the kickoff article in the millennial issue of Scientific American, Sir John Maddox, longtime editor-in-chief of Nature, speculates that "The most important discoveries of the next 50 years are likely to be ones of which we cannot now even conceive." Citing relativity, quantum theory, and the molecular basis of genetics, Maddox makes a convincing argument that this was true at the turn of the 20th century and therefore is likely to be true now (Scientific American, December 1999, 281(6), 62-67). New discoveries, almost by definition, take unexpected, unpredictable directions. This implies that no teacher can identify everything that will be important for students to learn, and that it is crucial for students to learn to deal with and keep their minds open to new information, new paradigms, and new applications of science and scientific research. The stodginess of chemistry curricula and our unwillingness or inability to act on facts that any scientist ought to be able to discern are a major concern in an era of accelerating scientific discovery. By far the majority of students taking chemistry courses in the first two years of undergraduate studies do not intend to become chemists. Most plan careers in biomedical sciences or engineering, though often they have not chosen a specific field. Chemistry is central among the sciences, a fact of which we are justifiably proud. Almost any scientific career requires background knowledge of chemistry, and so students taking introductory college courses have a broad range of interests. Why, then, do we not provide them with far more examples of how chemistry concepts are applied in these other fields that they are interested in? One school of thought argues that if we confine a curriculum to the fundamentals, students will discover on their own how to apply what they have learned and will be able to use it effectively in a variety of unforeseen circumstances. This approach has the advantage of minimizing the content of a curriculum, but it risks disciplinary insularity and carries the major disadvantage of not providing practice in process skills. Examples of such skills are applying concepts to new situations and communicating with others who have different knowledgejust what students will need to deal with new kinds of scientific discoveries. Disciplinary insularity can be avoided and process skills can be developed at the same time. By bringing cutting-edge research into the classroom, we can ask students to apply what they are learning to areas they are interested in, and we can encourage them to discuss and collaborate on their solutions to problems that might be intractable for individuals. Where is the cutting edge, and where is it going next? The interests of new faculty joining my own and many other chemistry departments are in multidisciplinary projects. They are applying chemistry to problems in molecular biology, medicine, materials science, environmental science and engineering, green industrial chemistry, and other areas that do not fall readily into our traditional classification of chemistry as organic, inorganic, physical, or analytical. They are collaborating with faculty members from several different departments, applying their various kinds of expertise and knowledge to problems that defy assignment to any single discipline. They are excited about what they are doing, and they are discovering things "of which we cannot now even conceive". Such excitement can become part of our courses and curricula if we resolve to embrace the diversity of applications of chemistry and continually incorporate them into our teaching. This is not a trivial undertaking, especially given the time constraints on most of us, but the new millennium is also bringing us better tools by which it can be accomplished. Agencies that fund research are more cognizant of the importance of communicating results to teachers and students as well as to other researchers. Educational activities are a required part of many National Science Foundation grants, and the National Institutes of Health has initiated a Curriculum Supplements Series for high school biology that many chemistry teachers will find valuable ( http://science-education.nih.gov/nihHTML/colsupp/index.htm). Another important tool is information technology. The Web provides information to the nth degreeso much that it is often difficult to find and evaluate what is there. However, a number of government and industrial sites provide excellent reports on scientific discoveries and multidisciplinary projects, and it is easy to direct students to them from a course Web site. JCE Internet's List of Reviewed WWW Sites can help you to find much useful information on the Web. Information technology will also afford us much better means of communication and collaboration, which we educators will certainly need to keep up with the rapid pace of scientific discovery. This includes communication among small groups of individuals with like interests, as well as large-scale collaborations. JCE, for example, exemplifies collaboration among authors, reviewers, editors, and readers, and our recent move to full online access for all subscribers will enhance communication among all our constituents. Finally, we are fortunate that many young scientists are interested in careers that are devoted mainly to teaching and communicating chemistry. These people seek positions where they can apply scientific principles to problems that involve instruction. They are fascinated by the complicated processes by which learning chemistry takes place and want to collaborate with others whose interests are similar. Many also have backgrounds in the new multidisciplinary areas to which chemistry is being applied. More power to them as they discover things "of which we cannot now even conceive" about chemical education.

Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin

PubMed Central

Hu, Chuli; Guan, Qingfeng; Li, Jie; Wang, Ke; Chen, Nengcheng

2016-01-01

Sensor inquirers cannot understand comprehensive or accurate observation capability information because current observation capability modeling does not consider the union of multiple sensors nor the effect of geospatial environmental features on the observation capability of sensors. These limitations result in a failure to discover credible sensors or plan for their collaboration for environmental monitoring. The Geospatial Environmental Observation Capability (GEOC) is proposed in this study and can be used as an information basis for the reliable discovery and collaborative planning of multiple environmental sensors. A field-based GEOC (GEOCF) information representation model is built. Quintuple GEOCF feature components and two GEOCF operations are formulated based on the geospatial field conceptual framework. The proposed GEOCF markup language is used to formalize the proposed GEOCF. A prototype system called GEOCapabilityManager is developed, and a case study is conducted for flood observation in the lower reaches of the Jinsha River Basin. The applicability of the GEOCF is verified through the reliable discovery of flood monitoring sensors and planning for the collaboration of these sensors. PMID:27999247

iClimate: a climate data and analysis portal

NASA Astrophysics Data System (ADS)

Goodman, P. J.; Russell, J. L.; Merchant, N.; Miller, S. J.; Juneja, A.

2015-12-01

We will describe a new climate data and analysis portal called iClimate that facilitates direct comparisons between available climate observations and climate simulations. Modeled after the successful iPlant Collaborative Discovery Environment (www.iplantcollaborative.org) that allows plant scientists to trade and share environmental, physiological and genetic data and analyses, iClimate provides an easy-to-use platform for large-scale climate research, including the storage, sharing, automated preprocessing, analysis and high-end visualization of large and often disparate observational and model datasets. iClimate will promote data exploration and scientific discovery by providing: efficient and high-speed transfer of data from nodes around the globe (e.g. PCMDI and NASA); standardized and customized data/model metrics; efficient subsampling of datasets based on temporal period, geographical region or variable; and collaboration tools for sharing data, workflows, analysis results, and data visualizations with collaborators or with the community at large. We will present iClimate's capabilities, and demonstrate how it will simplify and enhance the ability to do basic or cutting-edge climate research by professionals, laypeople and students.

Representing Geospatial Environment Observation Capability Information: A Case Study of Managing Flood Monitoring Sensors in the Jinsha River Basin.

PubMed

Hu, Chuli; Guan, Qingfeng; Li, Jie; Wang, Ke; Chen, Nengcheng

2016-12-16

Sensor inquirers cannot understand comprehensive or accurate observation capability information because current observation capability modeling does not consider the union of multiple sensors nor the effect of geospatial environmental features on the observation capability of sensors. These limitations result in a failure to discover credible sensors or plan for their collaboration for environmental monitoring. The Geospatial Environmental Observation Capability (GEOC) is proposed in this study and can be used as an information basis for the reliable discovery and collaborative planning of multiple environmental sensors. A field-based GEOC (GEOCF) information representation model is built. Quintuple GEOCF feature components and two GEOCF operations are formulated based on the geospatial field conceptual framework. The proposed GEOCF markup language is used to formalize the proposed GEOCF. A prototype system called GEOCapabilityManager is developed, and a case study is conducted for flood observation in the lower reaches of the Jinsha River Basin. The applicability of the GEOCF is verified through the reliable discovery of flood monitoring sensors and planning for the collaboration of these sensors.

Catalyzing Collaborative Learning: How Automated Task Distribution May Prompt Students to Collaborate

ERIC Educational Resources Information Center

Armstrong, Chandler

2010-01-01

Collaborative learning must prompt collaborative behavior among students. Once initiated, collaboration then must facilitate awareness between students of each other's activities and knowledge. Collaborative scripts provide explicit framework and guidance for roles and activities within student interactions, and are one method of fulfilling the…

U.S. Geological Survey

MedlinePlus

... Story Investigating Lung Disease in Military Veterans Collaborative Science Leads to New Discoveries Read Story USGS helps ... rainfall in the western U.S. Learn More Our Science Our Science What, where, and how we conduct ...

Collaborative search in electronic health records.

PubMed

Zheng, Kai; Mei, Qiaozhu; Hanauer, David A

2011-05-01

A full-text search engine can be a useful tool for augmenting the reuse value of unstructured narrative data stored in electronic health records (EHR). A prominent barrier to the effective utilization of such tools originates from users' lack of search expertise and/or medical-domain knowledge. To mitigate the issue, the authors experimented with a 'collaborative search' feature through a homegrown EHR search engine that allows users to preserve their search knowledge and share it with others. This feature was inspired by the success of many social information-foraging techniques used on the web that leverage users' collective wisdom to improve the quality and efficiency of information retrieval. The authors conducted an empirical evaluation study over a 4-year period. The user sample consisted of 451 academic researchers, medical practitioners, and hospital administrators. The data were analyzed using a social-network analysis to delineate the structure of the user collaboration networks that mediated the diffusion of knowledge of search. The users embraced the concept with considerable enthusiasm. About half of the EHR searches processed by the system (0.44 million) were based on stored search knowledge; 0.16 million utilized shared knowledge made available by other users. The social-network analysis results also suggest that the user-collaboration networks engendered by the collaborative search feature played an instrumental role in enabling the transfer of search knowledge across people and domains. Applying collaborative search, a social information-foraging technique popularly used on the web, may provide the potential to improve the quality and efficiency of information retrieval in healthcare.

Collaborative search in electronic health records

PubMed Central

Mei, Qiaozhu; Hanauer, David A

2011-01-01

Objective A full-text search engine can be a useful tool for augmenting the reuse value of unstructured narrative data stored in electronic health records (EHR). A prominent barrier to the effective utilization of such tools originates from users' lack of search expertise and/or medical-domain knowledge. To mitigate the issue, the authors experimented with a ‘collaborative search’ feature through a homegrown EHR search engine that allows users to preserve their search knowledge and share it with others. This feature was inspired by the success of many social information-foraging techniques used on the web that leverage users' collective wisdom to improve the quality and efficiency of information retrieval. Design The authors conducted an empirical evaluation study over a 4-year period. The user sample consisted of 451 academic researchers, medical practitioners, and hospital administrators. The data were analyzed using a social-network analysis to delineate the structure of the user collaboration networks that mediated the diffusion of knowledge of search. Results The users embraced the concept with considerable enthusiasm. About half of the EHR searches processed by the system (0.44 million) were based on stored search knowledge; 0.16 million utilized shared knowledge made available by other users. The social-network analysis results also suggest that the user-collaboration networks engendered by the collaborative search feature played an instrumental role in enabling the transfer of search knowledge across people and domains. Conclusion Applying collaborative search, a social information-foraging technique popularly used on the web, may provide the potential to improve the quality and efficiency of information retrieval in healthcare. PMID:21486887

RHSEG and Subdue: Background and Preliminary Approach for Combining these Technologies for Enhanced Image Data Analysis, Mining and Knowledge Discovery

NASA Technical Reports Server (NTRS)

Tilton, James C.; Cook, Diane J.

2008-01-01

Under a project recently selected for funding by NASA's Science Mission Directorate under the Applied Information Systems Research (AISR) program, Tilton and Cook will design and implement the integration of the Subdue graph based knowledge discovery system, developed at the University of Texas Arlington and Washington State University, with image segmentation hierarchies produced by the RHSEG software, developed at NASA GSFC, and perform pilot demonstration studies of data analysis, mining and knowledge discovery on NASA data. Subdue represents a method for discovering substructures in structural databases. Subdue is devised for general-purpose automated discovery, concept learning, and hierarchical clustering, with or without domain knowledge. Subdue was developed by Cook and her colleague, Lawrence B. Holder. For Subdue to be effective in finding patterns in imagery data, the data must be abstracted up from the pixel domain. An appropriate abstraction of imagery data is a segmentation hierarchy: a set of several segmentations of the same image at different levels of detail in which the segmentations at coarser levels of detail can be produced from simple merges of regions at finer levels of detail. The RHSEG program, a recursive approximation to a Hierarchical Segmentation approach (HSEG), can produce segmentation hierarchies quickly and effectively for a wide variety of images. RHSEG and HSEG were developed at NASA GSFC by Tilton. In this presentation we provide background on the RHSEG and Subdue technologies and present a preliminary analysis on how RHSEG and Subdue may be combined to enhance image data analysis, mining and knowledge discovery.

Predicting future discoveries from current scientific literature.

PubMed

Petrič, Ingrid; Cestnik, Bojan

2014-01-01

Knowledge discovery in biomedicine is a time-consuming process starting from the basic research, through preclinical testing, towards possible clinical applications. Crossing of conceptual boundaries is often needed for groundbreaking biomedical research that generates highly inventive discoveries. We demonstrate the ability of a creative literature mining method to advance valuable new discoveries based on rare ideas from existing literature. When emerging ideas from scientific literature are put together as fragments of knowledge in a systematic way, they may lead to original, sometimes surprising, research findings. If enough scientific evidence is already published for the association of such findings, they can be considered as scientific hypotheses. In this chapter, we describe a method for the computer-aided generation of such hypotheses based on the existing scientific literature. Our literature-based discovery of NF-kappaB with its possible connections to autism was recently approved by scientific community, which confirms the ability of our literature mining methodology to accelerate future discoveries based on rare ideas from existing literature.

Clients' collaboration in therapy: Self-perceptions and relationships with client psychological functioning, interpersonal relations, and motivation.

PubMed

Bachelor, Alexandra; Laverdière, Olivier; Gamache, Dominick; Bordeleau, Vincent

2007-06-01

To gain a closer understanding of client collaboration and its determinants, the first goal of this study involved the investigation of clients' perceptions of collaboration using a discovery-oriented methodology. Content analysis of 30 clients' written descriptions revealed three different modes of client collaboration, labeled active, mutual, and therapist-dependent, which emphasized client initiative and active participation, joint participation, and reliance on therapists' contributions to the work and change process, respectively. The majority of clients valued the therapist's active involvement and also emphasized the helpfulness of their collaborative experiences. In general, the therapist actions and attitudes involved in clients' views of good collaboration varied among clients. A second goal was to examine the relationships between client psychological functioning, quality of interpersonal relationships, and motivation, and clients' collaborative contributions, as rated by clients and therapists. Of these, only motivation was significantly associated with client collaboration, particularly in the perceptions of therapists. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

Making Real Life Connections and Engaging High School Students as They Become Climate Detectives using data obtained through JOIDES Resolution Expedition 341

NASA Astrophysics Data System (ADS)

Chegwidden, D.; Mote, A. S.; Manley, J.; Ledley, T. S.; Haddad, N.; Ellins, K.; Lynds, S. E.

2016-02-01

Texas is a state that values and supports an Earth Science curriculum, and as an experienced educator in Texas, I find it crucial to educate my students about the various Ocean Science careers that exist and also be able to use the valuable data that is obtained in a core sample from the ocean floor. "Climate Detective" is an EarthLabs module that is supported by TERC and International Ocean Discovery Program (IODP) Expedition 341. This module contains hands-on activities, many opportunities to interpret actual data from a core sample, and collaborative team skills to solve a problem. Through the module, students are able to make real connections with scientists when they understand various roles aboard the JOIDES Resolution. Students can also visually experience real-time research via live video streaming within the research vessel. In my classroom, the use of the "Climate Detective" not only establishes a beneficial relationship between teacher and marine scientists, but such access to the data also helps enhance the climate-related concepts and explanatory procedures involved in obtaining reports. Data is applied to a challenge question for all student groups to answer at the end of the module. This Project-based learning module emphasizes different forms of evidence and requires that learners apply different inquiry approaches to build the knowledge each one needs to acquire, as they become climate-literate citizens. My involvement with the EarthLabs project has strengthened my overall knowledge and confidence to teach about Earth's systems and climate change. In addition, this experience has led me to become an advocate who promotes vigorous classroom discussion among my students; additionally, I am encouraged to collaborate with other educators through the delivery of professional development across the state of Texas. Regularly, I connect with scientists in my classroom and such connection truly enriches not only my personal knowledge, but also provides a foundational understanding for my students.

Teachers' Journal Club: Bridging between the Dynamics of Biological Discoveries and Biology Teachers

ERIC Educational Resources Information Center

Brill, Gilat; Falk, Hedda; Yarden, Anat

2003-01-01

Since biology is one of the most dynamic research fields within the natural sciences, the gap between the accumulated knowledge in biology and the knowledge that is taught in schools, increases rapidly with time. Our long-term objective is to develop means to bridge between the dynamics of biological discoveries and the biology teachers and…

Infrastructure for collaborative science and societal applications in the Columbia River estuary

NASA Astrophysics Data System (ADS)

Baptista, António M.; Seaton, Charles; Wilkin, Michael P.; Riseman, Sarah F.; Needoba, Joseph A.; Maier, David; Turner, Paul J.; Kärnä, Tuomas; Lopez, Jesse E.; Herfort, Lydie; Megler, V. M.; McNeil, Craig; Crump, Byron C.; Peterson, Tawnya D.; Spitz, Yvette H.; Simon, Holly M.

2015-12-01

To meet societal needs, modern estuarine science needs to be interdisciplinary and collaborative, combine discovery with hypotheses testing, and be responsive to issues facing both regional and global stakeholders. Such an approach is best conducted with the benefit of data-rich environments, where information from sensors and models is openly accessible within convenient timeframes. Here, we introduce the operational infrastructure of one such data-rich environment, a collaboratory created to support (a) interdisciplinary research in the Columbia River estuary by the multi-institutional team of investigators of the Science and Technology Center for Coastal Margin Observation & Prediction and (b) the integration of scientific knowledge into regional decision making. Core components of the operational infrastructure are an observation network, a modeling system and a cyber-infrastructure, each of which is described. The observation network is anchored on an extensive array of long-term stations, many of them interdisciplinary, and is complemented by on-demand deployment of temporary stations and mobile platforms, often in coordinated field campaigns. The modeling system is based on finiteelement unstructured-grid codes and includes operational and process-oriented simulations of circulation, sediments and ecosystem processes. The flow of information is managed through a dedicated cyber-infrastructure, conversant with regional and national observing systems.

Linking temporal medical records using non-protected health information data.

PubMed

Bonomi, Luca; Jiang, Xiaoqian

2017-01-01

Modern medical research relies on multi-institutional collaborations which enhance the knowledge discovery and data reuse. While these collaborations allow researchers to perform analytics otherwise impossible on individual datasets, they often pose significant challenges in the data integration process. Due to the lack of a unique identifier, data integration solutions often have to rely on patient's protected health information (PHI). In many situations, such information cannot leave the institutions or must be strictly protected. Furthermore, the presence of noisy values for these attributes may result in poor overall utility. While much research has been done to address these challenges, most of the current solutions are designed for a static setting without considering the temporal information of the data (e.g. EHR). In this work, we propose a novel approach that uses non-PHI for linking patient longitudinal data. Specifically, our technique captures the diagnosis dependencies using patterns which are shown to provide important indications for linking patient records. Our solution can be used as a standalone technique to perform temporal record linkage using non-protected health information data or it can be combined with Privacy Preserving Record Linkage solutions (PPRL) when protected health information is available. In this case, our approach can solve ambiguities in results. Experimental evaluations on real datasets demonstrate the effectiveness of our technique.

Grid-Enabled Measures

PubMed Central

Moser, Richard P.; Hesse, Bradford W.; Shaikh, Abdul R.; Courtney, Paul; Morgan, Glen; Augustson, Erik; Kobrin, Sarah; Levin, Kerry; Helba, Cynthia; Garner, David; Dunn, Marsha; Coa, Kisha

2011-01-01

Scientists are taking advantage of the Internet and collaborative web technology to accelerate discovery in a massively connected, participative environment —a phenomenon referred to by some as Science 2.0. As a new way of doing science, this phenomenon has the potential to push science forward in a more efficient manner than was previously possible. The Grid-Enabled Measures (GEM) database has been conceptualized as an instantiation of Science 2.0 principles by the National Cancer Institute with two overarching goals: (1) Promote the use of standardized measures, which are tied to theoretically based constructs; and (2) Facilitate the ability to share harmonized data resulting from the use of standardized measures. This is done by creating an online venue connected to the Cancer Biomedical Informatics Grid (caBIG®) where a virtual community of researchers can collaborate together and come to consensus on measures by rating, commenting and viewing meta-data about the measures and associated constructs. This paper will describe the web 2.0 principles on which the GEM database is based, describe its functionality, and discuss some of the important issues involved with creating the GEM database, such as the role of mutually agreed-on ontologies (i.e., knowledge categories and the relationships among these categories— for data sharing). PMID:21521586

Bioinformatics and Medical Informatics: Collaborations on the Road to Genomic Medicine?

PubMed Central

Maojo, Victor; Kulikowski, Casimir A.

2003-01-01

In this report, the authors compare and contrast medical informatics (MI) and bioinformatics (BI) and provide a viewpoint on their complementarities and potential for collaboration in various subfields. The authors compare MI and BI along several dimensions, including: (1) historical development of the disciplines, (2) their scientific foundations, (3) data quality and analysis, (4) integration of knowledge and databases, (5) informatics tools to support practice, (6) informatics methods to support research (signal processing, imaging and vision, and computational modeling, (7) professional and patient continuing education, and (8) education and training. It is pointed out that, while the two disciplines differ in their histories, scientific foundations, and methodologic approaches to research in various areas, they nevertheless share methods and tools, which provides a basis for exchange of experience in their different applications. MI expertise in developing health care applications and the strength of BI in biological “discovery science” complement each other well. The new field of biomedical informatics (BMI) holds great promise for developing informatics methods that will be crucial in the development of genomic medicine. The future of BMI will be influenced strongly by whether significant advances in clinical practice and biomedical research come about from separate efforts in MI and BI, or from emerging, hybrid informatics subdisciplines at their interface. PMID:12925552

The genomic applications in practice and prevention network.

PubMed

Khoury, Muin J; Feero, W Gregory; Reyes, Michele; Citrin, Toby; Freedman, Andrew; Leonard, Debra; Burke, Wylie; Coates, Ralph; Croyle, Robert T; Edwards, Karen; Kardia, Sharon; McBride, Colleen; Manolio, Teri; Randhawa, Gurvaneet; Rasooly, Rebekah; St Pierre, Jeannette; Terry, Sharon

2009-07-01

The authors describe the rationale and initial development of a new collaborative initiative, the Genomic Applications in Practice and Prevention Network. The network convened by the Centers for Disease Control and Prevention and the National Institutes of Health includes multiple stakeholders from academia, government, health care, public health, industry and consumers. The premise of Genomic Applications in Practice and Prevention Network is that there is an unaddressed chasm between gene discoveries and demonstration of their clinical validity and utility. This chasm is due to the lack of readily accessible information about the utility of most genomic applications and the lack of necessary knowledge by consumers and providers to implement what is known. The mission of Genomic Applications in Practice and Prevention Network is to accelerate and streamline the effective integration of validated genomic knowledge into the practice of medicine and public health, by empowering and sponsoring research, evaluating research findings, and disseminating high quality information on candidate genomic applications in practice and prevention. Genomic Applications in Practice and Prevention Network will develop a process that links ongoing collection of information on candidate genomic applications to four crucial domains: (1) knowledge synthesis and dissemination for new and existing technologies, and the identification of knowledge gaps, (2) a robust evidence-based recommendation development process, (3) translation research to evaluate validity, utility and impact in the real world and how to disseminate and implement recommended genomic applications, and (4) programs to enhance practice, education, and surveillance.

Grants4Targets - an innovative approach to translate ideas from basic research into novel drugs.

PubMed

Lessl, Monika; Schoepe, Stefanie; Sommer, Anette; Schneider, Martin; Asadullah, Khusru

2011-04-01

Collaborations between industry and academia are steadily gaining importance. To combine expertises Bayer Healthcare has set up a novel open innovation approach called Grants4Targets. Ideas on novel drug targets can easily be submitted to http://www.grants4targets.com. After a review process, grants are provided to perform focused experiments to further validate the proposed targets. In addition to financial support specific know-how on target validation and drug discovery is provided. Experienced scientists are nominated as project partners and, depending on the project, tools or specific models are provided. Around 280 applications have been received and 41 projects granted. According to our experience, this type of bridging fund combined with joint efforts provides a valuable tool to foster drug discovery collaborations. Copyright © 2010 Elsevier Ltd. All rights reserved.

Life Sciences and the web: a new era for collaboration.

PubMed

Sagotsky, Jonathan A; Zhang, Le; Wang, Zhihui; Martin, Sean; Deisboeck, Thomas S

2008-01-01

The World Wide Web has revolutionized how researchers from various disciplines collaborate over long distances. This is nowhere more important than in the Life Sciences, where interdisciplinary approaches are becoming increasingly powerful as a driver of both integration and discovery. Data access, data quality, identity, and provenance are all critical ingredients to facilitate and accelerate these collaborative enterprises and it is here where Semantic Web technologies promise to have a profound impact. This paper reviews the need for, and explores advantages of as well as challenges with these novel Internet information tools as illustrated with examples from the biomedical community.

An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework.

PubMed

Chen, Yi-An; Tripathi, Lokesh P; Mizuguchi, Kenji

2016-01-01

Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org. © The Author(s) 2016. Published by Oxford University Press.

An integrative data analysis platform for gene set analysis and knowledge discovery in a data warehouse framework

PubMed Central

Chen, Yi-An; Tripathi, Lokesh P.; Mizuguchi, Kenji

2016-01-01

Data analysis is one of the most critical and challenging steps in drug discovery and disease biology. A user-friendly resource to visualize and analyse high-throughput data provides a powerful medium for both experimental and computational biologists to understand vastly different biological data types and obtain a concise, simplified and meaningful output for better knowledge discovery. We have previously developed TargetMine, an integrated data warehouse optimized for target prioritization. Here we describe how upgraded and newly modelled data types in TargetMine can now survey the wider biological and chemical data space, relevant to drug discovery and development. To enhance the scope of TargetMine from target prioritization to broad-based knowledge discovery, we have also developed a new auxiliary toolkit to assist with data analysis and visualization in TargetMine. This toolkit features interactive data analysis tools to query and analyse the biological data compiled within the TargetMine data warehouse. The enhanced system enables users to discover new hypotheses interactively by performing complicated searches with no programming and obtaining the results in an easy to comprehend output format. Database URL: http://targetmine.mizuguchilab.org PMID:26989145

Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data

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

McDermott, Jason E.; Wang, Jing; Mitchell, Hugh D.

2013-01-01

The advent of high throughput technologies capable of comprehensive analysis of genes, transcripts, proteins and other significant biological molecules has provided an unprecedented opportunity for the identification of molecular markers of disease processes. However, it has simultaneously complicated the problem of extracting meaningful signatures of biological processes from these complex datasets. The process of biomarker discovery and characterization provides opportunities both for purely statistical and expert knowledge-based approaches and would benefit from improved integration of the two. Areas covered In this review we will present examples of current practices for biomarker discovery from complex omic datasets and the challenges thatmore » have been encountered. We will then present a high-level review of data-driven (statistical) and knowledge-based methods applied to biomarker discovery, highlighting some current efforts to combine the two distinct approaches. Expert opinion Effective, reproducible and objective tools for combining data-driven and knowledge-based approaches to biomarker discovery and characterization are key to future success in the biomarker field. We will describe our recommendations of possible approaches to this problem including metrics for the evaluation of biomarkers.« less

Design and Evaluation of a Collaborative Learning Environment

ERIC Educational Resources Information Center

Wang, Qiyun

2009-01-01

Collaboration becomes an essential competency in the current knowledge society. In this study, a collaborative learning environment was designed to facilitate students in group collaboration. Instructional support strategies of friendship and meaningful learning tasks were applied to promote collaboration. Scaffolding strategies such as writing…

Computational functional genomics-based approaches in analgesic drug discovery and repurposing.

PubMed

Lippmann, Catharina; Kringel, Dario; Ultsch, Alfred; Lötsch, Jörn

2018-06-01

Persistent pain is a major healthcare problem affecting a fifth of adults worldwide with still limited treatment options. The search for new analgesics increasingly includes the novel research area of functional genomics, which combines data derived from various processes related to DNA sequence, gene expression or protein function and uses advanced methods of data mining and knowledge discovery with the goal of understanding the relationship between the genome and the phenotype. Its use in drug discovery and repurposing for analgesic indications has so far been performed using knowledge discovery in gene function and drug target-related databases; next-generation sequencing; and functional proteomics-based approaches. Here, we discuss recent efforts in functional genomics-based approaches to analgesic drug discovery and repurposing and highlight the potential of computational functional genomics in this field including a demonstration of the workflow using a novel R library 'dbtORA'.

Literature-Based Scientific Learning: A Collaboration Model

ERIC Educational Resources Information Center

Elrod, Susan L.; Somerville, Mary M.

2007-01-01

Amidst exponential growth of knowledge, student insights into the knowledge creation practices of the scientific community can be furthered by science faculty collaborations with university librarians. The Literature-Based Scientific Learning model advances undergraduates' disciplinary mastery and information literacy through experience with…

Knowledge sharing and collaboration in translational research, and the DC-THERA Directory

PubMed Central

Gündel, Michaela; Austyn, Jonathan M.; Cavalieri, Duccio; Scognamiglio, Ciro; Brandizi, Marco

2011-01-01

Biomedical research relies increasingly on large collections of data sets and knowledge whose generation, representation and analysis often require large collaborative and interdisciplinary efforts. This dimension of ‘big data’ research calls for the development of computational tools to manage such a vast amount of data, as well as tools that can improve communication and access to information from collaborating researchers and from the wider community. Whenever research projects have a defined temporal scope, an additional issue of data management arises, namely how the knowledge generated within the project can be made available beyond its boundaries and life-time. DC-THERA is a European ‘Network of Excellence’ (NoE) that spawned a very large collaborative and interdisciplinary research community, focusing on the development of novel immunotherapies derived from fundamental research in dendritic cell immunobiology. In this article we introduce the DC-THERA Directory, which is an information system designed to support knowledge management for this research community and beyond. We present how the use of metadata and Semantic Web technologies can effectively help to organize the knowledge generated by modern collaborative research, how these technologies can enable effective data management solutions during and beyond the project lifecycle, and how resources such as the DC-THERA Directory fit into the larger context of e-science. PMID:21969471

CI-Miner: A Semantic Methodology to Integrate Scientists, Data and Documents through the Use of Cyber-Infrastructure

NASA Astrophysics Data System (ADS)

Pinheiro da Silva, P.; CyberShARE Center of Excellence

2011-12-01

Scientists today face the challenge of rethinking the manner in which they document and make available their processes and data in an international cyber-infrastructure of shared resources. Some relevant examples of new scientific practices in the realm of computational and data extraction sciences include: large scale data discovery; data integration; data sharing across distinct scientific domains, systematic management of trust and uncertainty; and comprehensive support for explaining processes and results. This talk introduces CI-Miner - an innovative hands-on, open-source, community-driven methodology to integrate these new scientific practices. It has been developed in collaboration with scientists, with the purpose of capturing, storing and retrieving knowledge about scientific processes and their products, thereby further supporting a new generation of science techniques based on data exploration. CI-Miner uses semantic annotations in the form of W3C Ontology Web Language-based ontologies and Proof Markup Language (PML)-based provenance to represent knowledge. This methodology specializes in general-purpose ontologies, projected into workflow-driven ontologies(WDOs) and into semantic abstract workflows (SAWs). Provenance in PML is CI-Miner's integrative component, which allows scientists to retrieve and reason with the knowledge represented in these new semantic documents. It serves additionally as a platform to share such collected knowledge with the scientific community participating in the international cyber-infrastructure. The integrated semantic documents that are tailored for the use of human epistemic agents may also be utilized by machine epistemic agents, since the documents are based on W3C Resource Description Framework (RDF) notation. This talk is grounded upon interdisciplinary lessons learned through the use of CI-Miner in support of government-funded national and international cyber-infrastructure initiatives in the areas of geo-sciences (NSF-GEON and NSF-EarthScope), environmental sciences (CEON, NSF NEON, NSF-LTER and DOE-Ameri-Flux), and solar physics (VSTO and NSF-SPCDIS). The discussion on provenance is based on the use of PML in support of projects in collaboration with government organizations (DARPA, ARDA, NSF, DHS and DOE), research organizations (NCAR and PNNL), and industries (IBM and SRI International).

Academic drug discovery: current status and prospects.

PubMed

Everett, Jeremy R

2015-01-01

The contraction in pharmaceutical drug discovery operations in the past decade has been counter-balanced by a significant rise in the number of academic drug discovery groups. In addition, pharmaceutical companies that used to operate in completely independent, vertically integrated operations for drug discovery, are now collaborating more with each other, and with academic groups. We are in a new era of drug discovery. This review provides an overview of the current status of academic drug discovery groups, their achievements and the challenges they face, together with perspectives on ways to achieve improved outcomes. Academic groups have made important contributions to drug discovery, from its earliest days and continue to do so today. However, modern drug discovery and development is exceedingly complex, and has high failure rates, principally because human biology is complex and poorly understood. Academic drug discovery groups need to play to their strengths and not just copy what has gone before. However, there are lessons to be learnt from the experiences of the industrial drug discoverers and four areas are highlighted for attention: i) increased validation of targets; ii) elimination of false hits from high throughput screening (HTS); iii) increasing the quality of molecular probes; and iv) investing in a high-quality informatics infrastructure.

Julian Davies and the discovery of kanamycin resistance transposon Tn5.

PubMed

Berg, Douglas E

2017-04-01

This paper recounts some of my fond memories of a collaboration between Julian Davies and myself that started in 1974 in Geneva and that led to our serendipitous discovery of the bacterial kanamycin resistance transposon Tn5, and aspects of the lasting positive impact of our interaction and discovery on me and the community. Tn5 was one of the first antibiotic resistance transposons to be found. Its analysis over the ensuing decades provided valuable insights into mechanisms and control of transposition, and led to its use as a much-valued tool in diverse areas of molecular genetics, as also will be discussed here.

Librarian and Faculty Collaborative Instruction: A Phenomenological Self-Study

ERIC Educational Resources Information Center

Brown, Jennifer Diane; Duke, Thomas Scott

2005-01-01

Several models of librarian and faculty collaboration are found in the professional librarian literature. The literature on collaborative self-study research in university settings suggests collaborative self-study research can improve interdisciplinary and collaborative approaches to teaching and research and facilitate the transfer of knowledge.…

Understanding the proton's spin structure

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

Fred Myhrer; Thomas, Anthony W.

2010-02-01

We discuss the tremendous progress that has been towards an understanding of how the spin of the proton is distributed on its quark and gluon constituents. This is a problem that began in earnest twenty years ago with the discovery of the proton "spin crisis" by the European Muon Collaboration. The discoveries prompted by that original work have given us unprecedented insight into the amount of spin carried by polarized gluons and the orbital angular momentum of the quarks.

Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System.

PubMed

Chen, Donghua; Zhang, Runtong; Liu, Kecheng; Hou, Lei

2018-06-19

Patient-reported posts in Online Health Communities (OHCs) contain various valuable information that can help establish knowledge-based online support for online patients. However, utilizing these reports to improve online patient services in the absence of appropriate medical and healthcare expert knowledge is difficult. Thus, we propose a comprehensive knowledge discovery method that is based on the Unified Medical Language System for the analysis of narrative posts in OHCs. First, we propose a domain-knowledge support framework for OHCs to provide a basis for post analysis. Second, we develop a Knowledge-Involved Topic Modeling (KI-TM) method to extract and expand explicit knowledge within the text. We propose four metrics, namely, explicit knowledge rate, latent knowledge rate, knowledge correlation rate, and perplexity, for the evaluation of the KI-TM method. Our experimental results indicate that our proposed method outperforms existing methods in terms of providing knowledge support. Our method enhances knowledge support for online patients and can help develop intelligent OHCs in the future.

A Community Roadmap for Discovery of Geosciences Data

NASA Astrophysics Data System (ADS)

Baru, C.

2012-12-01

This talk will summarize on-going discussions and deliberations related to data discovery undertaken as part of the EarthCube initiative and in the context of current trends and technologies in search and discovery of scientific data and information. The goal of the EarthCube initiative is to transform the conduct of research by supporting the development of community-guided cyberinfrastructure to integrate data and information for knowledge management across the Geosciences. The vision of EarthCube is to provide a coherent framework for finding and using information about the Earth system across the entire research enterprise that will allow for substantial improved collaboration between specialties using each other's data (e.g. subdomains of geo- and biological sciences). Indeed, data discovery is an essential prerequisite to any action that an EarthCube user would undertake. The community roadmap activity addresses challenges in data discovery, beginning with an assessment of the state-of-the-art, and then identifying issues, challenges, and risks in reaching the data discovery vision. Many of the lessons learned are general and applicable not only to the geosciences but also to a variety of other science communities. The roadmap considers data discovery issues in Geoscience that include but are not limited to metadata-based discovery and the use of semantic information and ontologies; content-based discovery and integration with data mining activities; integration with data access services; and policy and governance issues. Furthermore, many geoscience use cases require access to heterogeneous data from multiple disciplinary sources in order to analyze and make intelligent connections between data to advance research frontiers. Examples include, say, assessing the rise of sea surface temperatures; modeling geodynamical earth systems from deep time to present; or, examining in detail the causes and consequences of global climate change. It has taken the past one to two decades for the community to arrive at a few commonly understood and commonly agreed upon standards for metadata and services. There have been significant advancements in the development of prototype systems in the area of metadata-based data discovery, including efforts such as OpenDAP and THREDDS catalogs, the GEON Portal and Catalog Services (www.geongrid.org), OGC standards, and development of systems like OneGeology (onegeology.org), the USGIN (usgin.org), the Earth System Grid, and EOSDIS. Such efforts have set the stage now for the development of next generation, production-quality, advanced discovery services. The next challenge is in converting these into robust, sustained services for the community and developing capabilities such as content-based search and ontology-enabled search, and ensuring that the long tail of geoscience data are fully included in any future discovery services. As EarthCube attempts to pursue these challenges, the key question to pose is whether we will be able to establish a cultural environment that is able to sustain, extend, and manage an infrastructure that will last 50, 100 years?

NIH/NSF accelerate biomedical research innovations

Cancer.gov

A collaboration between the National Science Foundation and the National Institutes of Health will give NIH-funded researchers training to help them evaluate their scientific discoveries for commercial potential, with the aim of accelerating biomedical in

Learning from the past for TB drug discovery in the future

PubMed Central

Mikušová, Katarína; Ekins, Sean

2016-01-01

Tuberculosis drug discovery has shifted in recent years from a primarily target-based approach to one that uses phenotypic high-throughput screens. As examples of this, through our EU-funded FP7 collaborations, New Medicines for Tuberculosis was target-based and our more-recent More Medicines for Tuberculosis project predominantly used phenotypic screening. From these projects we have examples of success (DprE1) and failure (PimA) going from drug to target and from target to drug, respectively. It is clear that we still have much to learn about the drug targets and the complex effects of the drugs on Mycobacterium tuberculosis. We propose a more integrated approach that learns from earlier drug discovery efforts that could help to move drug discovery forward. PMID:27717850

Learning in the context of distribution drift

DTIC Science & Technology

2017-05-09

published in the leading data mining journal, Data Mining and Knowledge Discovery (Webb et. al., 2016)1. We have shown that the previous qualitative...learner Low-bias learner Aggregated classifier Figure 7: Architecture for learning fr m streaming data in th co text of variable or unknown...Learning limited dependence Bayesian classifiers, in Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD

A Bioinformatic Approach to Inter Functional Interactions within Protein Sequences

DTIC Science & Technology

2009-02-23

AFOSR/AOARD Reference Number: USAFAOGA07: FA4869-07-1-4050 AFOSR/AOARD Program Manager : Hiroshi Motoda, Ph.D. Period of...Conference on Knowledge Discovery and Data Mining.) In a separate study we have applied our approaches to the problem of whole genome alignment. We have...SIGKDD Conference on Knowledge Discovery and Data Mining Attached. Interactions: Please list: (a) Participation/presentations at meetings

Evaluating a European knowledge hub on climate change in agriculture: Are we building a better connected community?

PubMed

Saetnan, Eli Rudinow; Kipling, Richard Philip

In order to maintain food security and sustainability of production under climate change, interdisciplinary and international collaboration in research is essential. In the EU, knowledge hubs are important funding instruments for the development of an interconnected European Research Area. Here, network analysis was used to assess whether the pilot knowledge hub MACSUR has affected interdisciplinary collaboration, using co-authorship of peer reviewed articles as a measure of collaboration. The broad community of all authors identified as active in the field of agriculture and climate change was increasingly well connected over the period studied. Between knowledge hub members, changes in network parameters suggest an increase in collaborative interaction beyond that expected due to network growth, and greater than that found in the broader community. Given that interdisciplinary networks often take several years to have an impact on research outputs, these changes within the relatively new MACSUR community provide evidence that the knowledge hub structure has been effective in stimulating collaboration. However, analysis showed that knowledge hub partners were initially well-connected, suggesting that the initiative may have gathered together researchers with particular resources or inclinations towards collaborative working. Long term, consistent funding and ongoing reflection to improve networking structures may be necessary to sustain the early positive signs from MACSUR, to extend its success to a wider community of researchers, or to repeat it in less connected fields of science. Tackling complex challenges such as climate change will require research structures that can effectively support and utilise the diversity of talents beyond the already well-connected core of scientists at major research institutes. But network research shows that this core, well-connected group are vital brokers in achieving wider integration.

k-neighborhood Decentralization: A Comprehensive Solution to Index the UMLS for Large Scale Knowledge Discovery

PubMed Central

Xiang, Yang; Lu, Kewei; James, Stephen L.; Borlawsky, Tara B.; Huang, Kun; Payne, Philip R.O.

2011-01-01

The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical informatics domain. Previous works have shown that knowledge constructs comprised of transitively-associated UMLS concepts are effective for discovering potentially novel biomedical hypotheses. However, the extremely large size of the UMLS becomes a major challenge for these applications. To address this problem, we designed a k-neighborhood Decentralization Labeling Scheme (kDLS) for the UMLS, and the corresponding method to effectively evaluate the kDLS indexing results. kDLS provides a comprehensive solution for indexing the UMLS for very efficient large scale knowledge discovery. We demonstrated that it is highly effective to use kDLS paths to prioritize disease-gene relations across the whole genome, with extremely high fold-enrichment values. To our knowledge, this is the first indexing scheme capable of supporting efficient large scale knowledge discovery on the UMLS as a whole. Our expectation is that kDLS will become a vital engine for retrieving information and generating hypotheses from the UMLS for future medical informatics applications. PMID:22154838

k-Neighborhood decentralization: a comprehensive solution to index the UMLS for large scale knowledge discovery.

PubMed

Xiang, Yang; Lu, Kewei; James, Stephen L; Borlawsky, Tara B; Huang, Kun; Payne, Philip R O

2012-04-01

The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical informatics domain. Previous works have shown that knowledge constructs comprised of transitively-associated UMLS concepts are effective for discovering potentially novel biomedical hypotheses. However, the extremely large size of the UMLS becomes a major challenge for these applications. To address this problem, we designed a k-neighborhood Decentralization Labeling Scheme (kDLS) for the UMLS, and the corresponding method to effectively evaluate the kDLS indexing results. kDLS provides a comprehensive solution for indexing the UMLS for very efficient large scale knowledge discovery. We demonstrated that it is highly effective to use kDLS paths to prioritize disease-gene relations across the whole genome, with extremely high fold-enrichment values. To our knowledge, this is the first indexing scheme capable of supporting efficient large scale knowledge discovery on the UMLS as a whole. Our expectation is that kDLS will become a vital engine for retrieving information and generating hypotheses from the UMLS for future medical informatics applications. Copyright © 2011 Elsevier Inc. All rights reserved.

Knowledge Discovery and Data Mining in Iran's Climatic Researches

NASA Astrophysics Data System (ADS)

Karimi, Mostafa

2013-04-01

Advances in measurement technology and data collection is the database gets larger. Large databases require powerful tools for analysis data. Iterative process of acquiring knowledge from information obtained from data processing is done in various forms in all scientific fields. However, when the data volume large, and many of the problems the Traditional methods cannot respond. in the recent years, use of databases in various scientific fields, especially atmospheric databases in climatology expanded. in addition, increases in the amount of data generated by the climate models is a challenge for analysis of it for extraction of hidden pattern and knowledge. The approach to this problem has been made in recent years uses the process of knowledge discovery and data mining techniques with the use of the concepts of machine learning, artificial intelligence and expert (professional) systems is overall performance. Data manning is analytically process for manning in massive volume data. The ultimate goal of data mining is access to information and finally knowledge. climatology is a part of science that uses variety and massive volume data. Goal of the climate data manning is Achieve to information from variety and massive atmospheric and non-atmospheric data. in fact, Knowledge Discovery performs these activities in a logical and predetermined and almost automatic process. The goal of this research is study of uses knowledge Discovery and data mining technique in Iranian climate research. For Achieve This goal, study content (descriptive) analysis and classify base method and issue. The result shown that in climatic research of Iran most clustering, k-means and wards applied and in terms of issues precipitation and atmospheric circulation patterns most introduced. Although several studies in geography and climate issues with statistical techniques such as clustering and pattern extraction is done, Due to the nature of statistics and data mining, but cannot say for internal climate studies in data mining and knowledge discovery techniques are used. However, it is necessary to use the KDD Approach and DM techniques in the climatic studies, specific interpreter of climate modeling result.

Experiences of Knowledge Brokering for Evidence-Informed Public Health Policy and Practice: Three Years of the Scottish Collaboration for Public Health Research and Policy

ERIC Educational Resources Information Center

Frost, Helen; Geddes, Rosemary; Haw, Sally; Jackson, Caroline A.; Jepson, Ruth; Mooney, John D.; Frank, John

2012-01-01

Despite a burgeoning literature on, and widespread interest in, knowledge translation and exchange in public health, few articles provide an account of the actual experiences of knowledge brokerage organisations. The Scottish Collaboration for Public Health Research and Policy (SCPHRP) was formed in 2008 to: identify public health interventions…

Analyzing the Chinese landscape in anti-diabetic drug research: leading knowledge production institutions and thematic communities.

PubMed

Deng, Junling; Sitou, Kaweng; Zhang, Yongping; Yan, Ru; Hu, Yuanjia

2016-01-01

The discovery of anti-diabetic drugs is an active Chinese medicine research area. This study aims to map out anti-diabetic drug research in China using a network-based systemic approach based on co-authorship of academic publications. We focused on identifying leading knowledge production institutions, analyzing interactions among them, detecting communities with high internal associations, and exploring future research directions. Target articles published in 2009-2013 under the topic "diabetes" and subject category "pharmacology & pharmacy," with "China," "Taiwan," "Hong Kong," or "Macao" (or "Macau") in the authors' address field were retrieved from the science citation index expanded database and their bibliographic information (e.g., article title, authors, keywords, and authors' affiliation addresses) analyzed. A social network approach was used to construct an institutional collaboration network based on co-publications. Gephi software was used to visualize the network and relationships among institutes were analyzed using centrality measurements. Thematic analysis based on article keywords and R sc value was applied to reveal the research hotspots and directions of network communities. The top 50 institutions were identified; these included Shanghai Jiao Tong University, National Taiwan University, Peking University, and China Pharmaceutical University. Institutes from Taiwan tended to cooperate with institutes outside Taiwan, but those from mainland China showed low interest in external collaboration. Fourteen thematic communities were detected with the Louvain algorithm and further labeled by their high-frequency and characteristic keywords, such as Chinese medicines, diabetic complications, oxidative stress, pharmacokinetics, and insulin resistance. The keyword Chinese medicines comprised a range of Chinese medicine-related topics, including berberine, flavonoids, Astragalus polysaccharide, emodin, and ginsenoside. These keywords suggest potential fields for further anti-diabetic drug research. The correlation of -0.641 (P = 0.013) between degree centrality and the R sc value of non-core keywords indicates that communities concentrating on rare research fields are usually isolated by others and have a lower chance of collaboration. With a better understanding of the Chinese landscape in anti-diabetic drug research, researchers and scholars looking for experts and institutions in a specific research area can rapidly spot their target community, then select the most appropriate potential collaborator and suggest preferential research directions for future studies.

Collaborative Chronic Care Networks (C3Ns) to transform chronic illness care.

PubMed

Margolis, Peter A; Peterson, Laura E; Seid, Michael

2013-06-01

Despite significant gains by pediatric collaborative improvement networks, the overall US system of chronic illness care does not work well. A new paradigm is needed: a Collaborative Chronic Care Network (C3N). A C3N is a network-based production system that harnesses the collective intelligence of patients, clinicians, and researchers and distributes the production of knowledge, information, and know-how over large groups of people, dramatically accelerating the discovery process. A C3N is a platform of "operating systems" on which interconnected processes and interventions are designed, tested, and implemented. The social operating system is facilitated by community building, engaging all stakeholders and their expertise, and providing multiple ways to participate. Standard progress measures and a robust information technology infrastructure enable the technical operating system to reduce unwanted variation and adopt advances more rapidly. A structured approach to innovation design provides a scientific operating system or "laboratory" for what works and how to make it work. Data support testing and research on multiple levels: comparative effectiveness research for populations, evaluating care delivery processes at the care center level, and N-of-1 trials and other methods to select the best treatment of individual patient circumstances. Methods to reduce transactional costs to participate include a Federated IRB Model in which centers rely on a protocol approved at 1 central institutional review board and a "commons framework" for organizational copyright and intellectual property concerns. A fully realized C3N represents a discontinuous leap to a self-developing learning health system capable of producing a qualitatively different approach to improving health.

Collaborative Research Partnerships for Knowledge Mobilisation

ERIC Educational Resources Information Center

Edelstein, Hilary

2016-01-01

This study examines elements of collaborative research partnerships (CRPs) between university researchers and organisations who engage in knowledge mobilisation activities in education. The study uses key informant interviews and document analysis from one type of partnership, and a survey of university-community partnerships across Canada to…

Discovering Collaboration and Knowledge Management Practices for the Future Digital Factory

NASA Astrophysics Data System (ADS)

Flores, Myrna; Vera, Tomas; Tucci, Christopher

Recently there has been an explosion of new technologies and tools such as wikis, blogs, tags, Facebook, among many others, that are commonly identified under Web 2.0 and which promise a new digital business ecosystem fed by formal/informal and internal/external relationships and interactions. Although Web 2.0 is very promising to enable such collective knowledge creation, technology by itself is not the only ingredient. It is also required to define the right strategy, governance, culture, processes, training, incentives among others, before implementing such innovative open spaces for collaboration and knowledge sharing. Therefore, the objective of this paper is to present a Knowledge Management (KM) Framework and a Maturity Model developed by a CEMEX and EPFL collaborative research project to discover the AS-IS collaboration practices in CEMEX before the implementation of the SMARTBRICKS Web 2.0 prototype for Business Process Management (BPM), currently under development by the Intelligent Manufacturing Systems (IMS) Swiss Digital Factory (DiFac) project.

Knowledge Retrieval Solutions.

ERIC Educational Resources Information Center

Khan, Kamran

1998-01-01

Excalibur RetrievalWare offers true knowledge retrieval solutions. Its fundamental technologies, Adaptive Pattern Recognition Processing and Semantic Networks, have capabilities for knowledge discovery and knowledge management of full-text, structured and visual information. The software delivers a combination of accuracy, extensibility,…

Knowledge extraction from evolving spiking neural networks with rank order population coding.

PubMed

Soltic, Snjezana; Kasabov, Nikola

2010-12-01

This paper demonstrates how knowledge can be extracted from evolving spiking neural networks with rank order population coding. Knowledge discovery is a very important feature of intelligent systems. Yet, a disproportionally small amount of research is centered on the issue of knowledge extraction from spiking neural networks which are considered to be the third generation of artificial neural networks. The lack of knowledge representation compatibility is becoming a major detriment to end users of these networks. We show that a high-level knowledge can be obtained from evolving spiking neural networks. More specifically, we propose a method for fuzzy rule extraction from an evolving spiking network with rank order population coding. The proposed method was used for knowledge discovery on two benchmark taste recognition problems where the knowledge learnt by an evolving spiking neural network was extracted in the form of zero-order Takagi-Sugeno fuzzy IF-THEN rules.

Nurse faculty as international research collaborators.

PubMed

O'Keefe, Louise C; Frith, Karen H; Barnby, Elizabeth

2017-03-01

Nursing faculty who desire to expand their research portfolios will benefit from collaboration with researchers with complimentary interests from different universities across the world. International collaboration can enhance the productivity of researchers who seek to conduct studies with similar populations in different environments, and who desire a larger impact based on the findings of their studies. International collaborative teams have the potential to make important discoveries that affect the health of populations across the world. Communication is a critical step in defining the roles and professional relationships of researchers involved in international collaboration. Researchers need to be cognizant of rules affecting data security, intellectual property, data ownership, and funding sources in each country. International collaborative research can be exciting and rewarding, especially when participants are culturally aware, respect universities' policies, and are mindful of the ethical and legal principles for the countries in which the research is conducted. This article describes ways to enhance the success of nursing faculty who desire a rich experience with international research collaborators. © 2016 John Wiley & Sons Australia, Ltd.

Flood AI: An Intelligent Systems for Discovery and Communication of Disaster Knowledge

NASA Astrophysics Data System (ADS)

Demir, I.; Sermet, M. Y.

2017-12-01

Communities are not immune from extreme events or natural disasters that can lead to large-scale consequences for the nation and public. Improving resilience to better prepare, plan, recover, and adapt to disasters is critical to reduce the impacts of extreme events. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This project presents an intelligent system, Flood AI, for flooding to improve societal preparedness by providing a knowledge engine using voice recognition, artificial intelligence, and natural language processing based on a generalized ontology for disasters with a primary focus on flooding. The knowledge engine utilizes the flood ontology and concepts to connect user input to relevant knowledge discovery channels on flooding by developing a data acquisition and processing framework utilizing environmental observations, forecast models, and knowledge bases. Communication channels of the framework includes web-based systems, agent-based chat bots, smartphone applications, automated web workflows, and smart home devices, opening the knowledge discovery for flooding to many unique use cases.

Informing child welfare policy and practice: using knowledge discovery and data mining technology via a dynamic Web site.

PubMed

Duncan, Dean F; Kum, Hye-Chung; Weigensberg, Elizabeth Caplick; Flair, Kimberly A; Stewart, C Joy

2008-11-01

Proper management and implementation of an effective child welfare agency requires the constant use of information about the experiences and outcomes of children involved in the system, emphasizing the need for comprehensive, timely, and accurate data. In the past 20 years, there have been many advances in technology that can maximize the potential of administrative data to promote better evaluation and management in the field of child welfare. Specifically, this article discusses the use of knowledge discovery and data mining (KDD), which makes it possible to create longitudinal data files from administrative data sources, extract valuable knowledge, and make the information available via a user-friendly public Web site. This article demonstrates a successful project in North Carolina where knowledge discovery and data mining technology was used to develop a comprehensive set of child welfare outcomes available through a public Web site to facilitate information sharing of child welfare data to improve policy and practice.

The National Public Health Leadership Institute: evaluation of a team-based approach to developing collaborative public health leaders.

PubMed

Umble, Karl; Steffen, David; Porter, Janet; Miller, Delesha; Hummer-McLaughlin, Kelley; Lowman, Amy; Zelt, Susan

2005-04-01

Recent public health literature contains calls for collaborative public health interventions and for leaders capable of guiding them. The National Public Health Leadership Institute aims to develop collaborative leaders and to strengthen networks of leaders who share knowledge and jointly address public health problems. Evaluation results show that completing the institute training increases collaborative leadership and builds knowledge-sharing and problem-solving networks. These practices and networks strengthen interorganizational relationships, coalitions, services, programs, and policies. Intensive team-and project-based learning are key to the program's impact.

The National Public Health Leadership Institute: Evaluation of a Team-Based Approach to Developing Collaborative Public Health Leaders

PubMed Central

Umble, Karl; Steffen, David; Porter, Janet; Miller, Delesha; Hummer-McLaughlin, Kelley; Lowman, Amy; Zelt, Susan

2005-01-01

Recent public health literature contains calls for collaborative public health interventions and for leaders capable of guiding them. The National Public Health Leadership Institute aims to develop collaborative leaders and to strengthen networks of leaders who share knowledge and jointly address public health problems. Evaluation results show that completing the institute training increases collaborative leadership and builds knowledge-sharing and problem-solving networks. These practices and networks strengthen interorganizational relationships, coalitions, services, programs, and policies. Intensive team-and project-based learning are key to the program’s impact. PMID:15798124

Exploring new graduate nurse confidence in interprofessional collaboration: a mixed methods study.

PubMed

Pfaff, Kathryn A; Baxter, Pamela E; Jack, Susan M; Ploeg, Jenny

2014-08-01

Confidence is required for effective engagement in interprofessional collaboration. New graduate nurses often lack confidence in interprofessional interactions, and this may compromise the delivery of safe and effective healthcare. The overall objective of this study was to explore new graduate nurse confidence in interprofessional collaboration. An explanatory sequential mixed methods design was used. New graduate nurses from Ontario, Canada (N=514) completed a cross-sectional descriptive survey in 2012. The survey measured perceived confidence in interprofessional collaboration, and it included items that were proposed to have a relationship with new graduate nurse confidence in interprofessional collaboration. Follow-up qualitative telephone interviews were conducted with 16 new graduate nurses. The quantitative findings suggested that several factors have a positive relationship with new graduate nurse confidence in interprofessional collaboration: availability and accessibility of manager, availability and accessibility of educator, number of different disciplines worked with daily, number of team strategies, and satisfaction with team. The qualitative phase supported the quantitative findings and also provided new information about factors that facilitated and challenged new graduate nurse confidence when engaging in interprofessional collaboration. The facilitators were: experience, knowledge, respect, supportive relationships, and opportunities to collaborate. Challenges included: lack of experience, lack of knowledge, communication challenges, and balancing practice expectations. The overall findings relate to team and organizational support, and new graduate nurse development. Interventions that provide support for interprofessional collaboration at the team and organizational levels, and develop new graduate nurse knowledge and experiences regarding collaborative practice, are essential for enhancing new graduate nurse confidence in interprofessional collaboration. Copyright © 2014 Elsevier Ltd. All rights reserved.

Extension Educators' Perceptions of Community Readiness, Knowledge of Prevention Science, and Experience with Collaboration

PubMed Central

Perkins, Daniel F.; Mincemoyer, Claudia C.; Lillehoj, Catherine J.

2011-01-01

This investigation compared Extension educators' perceptions of community readiness, knowledge of prevention science, and experience with community collaborations with the perceptions of community human service professionals. First, Cooperative Extension System (CES) educators and human service professionals were found to hold similar perceptions of community readiness for prevention programs. Second, CES educators demonstrated less awareness of prevention programs in the community, but a greater knowledge of research-based community risk and protective factors than the human service professionals. Third, CES educators and human service professionals were similar in terms of community collaborative involvement, success, and personal effectiveness. PMID:24143063

Public-Private Partnerships in Lead Discovery: Overview and Case Studies.

PubMed

Gottwald, Matthias; Becker, Andreas; Bahr, Inke; Mueller-Fahrnow, Anke

2016-09-01

The pharmaceutical industry is faced with significant challenges in its efforts to discover new drugs that address unmet medical needs. Safety concerns and lack of efficacy are the two main technical reasons for attrition. Improved early research tools including predictive in silico, in vitro, and in vivo models, as well as a deeper understanding of the disease biology, therefore have the potential to improve success rates. The combination of internal activities with external collaborations in line with the interests and needs of all partners is a successful approach to foster innovation and to meet the challenges. Collaboration can take place in different ways, depending on the requirements of the participants. In this review, the value of public-private partnership approaches will be discussed, using examples from the Innovative Medicines Initiative (IMI). These examples describe consortia approaches to develop tools and processes for improving target identification and validation, as well as lead identification and optimization. The project "Kinetics for Drug Discovery" (K4DD), focusing on the adoption of drug-target binding kinetics analysis in the drug discovery decision-making process, is described in more detail. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Semi-automated software service integration in virtual organisations

NASA Astrophysics Data System (ADS)

Afsarmanesh, Hamideh; Sargolzaei, Mahdi; Shadi, Mahdieh

2015-08-01

To enhance their business opportunities, organisations involved in many service industries are increasingly active in pursuit of both online provision of their business services (BSs) and collaborating with others. Collaborative Networks (CNs) in service industry sector, however, face many challenges related to sharing and integration of their collection of provided BSs and their corresponding software services. Therefore, the topic of service interoperability for which this article introduces a framework is gaining momentum in research for supporting CNs. It contributes to generation of formal machine readable specification for business processes, aimed at providing their unambiguous definitions, as needed for developing their equivalent software services. The framework provides a model and implementation architecture for discovery and composition of shared services, to support the semi-automated development of integrated value-added services. In support of service discovery, a main contribution of this research is the formal representation of services' behaviour and applying desired service behaviour specified by users for automated matchmaking with other existing services. Furthermore, to support service integration, mechanisms are developed for automated selection of the most suitable service(s) according to a number of service quality aspects. Two scenario cases are presented, which exemplify several specific features related to service discovery and service integration aspects.

Discovery and development of anticancer agents from marine sponges: perspectives based on a chemistry-experimental therapeutics collaborative program.

PubMed

Valeriote, Frederick A; Tenney, Karen; Media, Joseph; Pietraszkiewicz, Halina; Edelstein, Matthew; Johnson, Tyler A; Amagata, Taro; Crews, Phillip

2012-01-01

A collaborative program was initiated in 1990 between the natural product chemistry laboratory of Dr. Phillip Crews at the University of California Santa Cruz and the experimental therapeutics laboratory of Dr. Fred Valeriote at the Henry Ford Hospital in Detroit. The program focused on the discovery and development of anticancer drugs from sponge extracts. A novel in vitro disk diffusion, solid tumor selective assay was used to examine 2,036 extracts from 683 individual sponges. The bioassay-directed fractionation discovery component led to the identification of active pure compounds from many of these sponges. In most cases, pure compound was prepared in sufficient quantities to both chemically identify the active compound(s) as well as pursue one or more of the biological development components. The latter included IC50, clonogenic survival-concentration exposure, maximum tolerated dose, pharmacokinetics and therapeutic assessment studies. Solid tumor selective compounds included fascaplysin and 10-bromofascaplysin (Fascaplysinopsis), neoamphimedine, 5-methoxyneoamphimedine and alpkinidine (Xestospongia), makaluvamine C and makaluvamine H (Zyzzya), psymberin (Psammocinia and Ircinia), and ethylplakortide Z and ethyldidehydroplakortide Z (Plakortis). These compounds or analogs thereof continue to have therapeutic potential.

What Is Technology Transfer? | Poster

Cancer.gov

The NCI Technology Transfer Center (TTC) facilitates partnerships between NIH research laboratories and external partners. With a team of technology transfer specialists, NCI TTC guides interactions from discovery to patenting, as well as from collaboration and invention development to licensing.

75 FR 11197 - Notice Pursuant to the National Cooperative Research and Production Act of 1993-Pistoia Alliance...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-10

...; CambridgeSoft, San Diego, CA; Merck, Boston, MA; Collaborative Drug Discovery, Burlingame, CA; Royal Society of Chemistry, Cambridge, UNITED KINGDOM; Thomson Reuters HealthCare and Science, Philadelphia, PA...

Developing integrated crop knowledge networks to advance candidate gene discovery.

PubMed

Hassani-Pak, Keywan; Castellote, Martin; Esch, Maria; Hindle, Matthew; Lysenko, Artem; Taubert, Jan; Rawlings, Christopher

2016-12-01

The chances of raising crop productivity to enhance global food security would be greatly improved if we had a complete understanding of all the biological mechanisms that underpinned traits such as crop yield, disease resistance or nutrient and water use efficiency. With more crop genomes emerging all the time, we are nearer having the basic information, at the gene-level, to begin assembling crop gene catalogues and using data from other plant species to understand how the genes function and how their interactions govern crop development and physiology. Unfortunately, the task of creating such a complete knowledge base of gene functions, interaction networks and trait biology is technically challenging because the relevant data are dispersed in myriad databases in a variety of data formats with variable quality and coverage. In this paper we present a general approach for building genome-scale knowledge networks that provide a unified representation of heterogeneous but interconnected datasets to enable effective knowledge mining and gene discovery. We describe the datasets and outline the methods, workflows and tools that we have developed for creating and visualising these networks for the major crop species, wheat and barley. We present the global characteristics of such knowledge networks and with an example linking a seed size phenotype to a barley WRKY transcription factor orthologous to TTG2 from Arabidopsis, we illustrate the value of integrated data in biological knowledge discovery. The software we have developed (www.ondex.org) and the knowledge resources (http://knetminer.rothamsted.ac.uk) we have created are all open-source and provide a first step towards systematic and evidence-based gene discovery in order to facilitate crop improvement.

Proactive human-computer collaboration for information discovery

NASA Astrophysics Data System (ADS)

DiBona, Phil; Shilliday, Andrew; Barry, Kevin

2016-05-01

Lockheed Martin Advanced Technology Laboratories (LM ATL) is researching methods, representations, and processes for human/autonomy collaboration to scale analysis and hypotheses substantiation for intelligence analysts. This research establishes a machinereadable hypothesis representation that is commonsensical to the human analyst. The representation unifies context between the human and computer, enabling autonomy in the form of analytic software, to support the analyst through proactively acquiring, assessing, and organizing high-value information that is needed to inform and substantiate hypotheses.

DCO-VIVO: A Collaborative Data Platform for the Deep Carbon Science Communities

NASA Astrophysics Data System (ADS)

Wang, H.; Chen, Y.; West, P.; Erickson, J. S.; Ma, X.; Fox, P. A.

2014-12-01

Deep Carbon Observatory (DCO) is a decade-long scientific endeavor to understand carbon in the complex deep Earth system. Thousands of DCO scientists from institutions across the globe are organized into communities representing four domains of exploration: Extreme Physics and Chemistry, Reservoirs and Fluxes, Deep Energy, and Deep Life. Cross-community and cross-disciplinary collaboration is one of the most distinctive features in DCO's flexible research framework. VIVO is an open-source Semantic Web platform that facilitates cross-institutional researcher and research discovery. it includes a number of standard ontologies that interconnect people, organizations, publications, activities, locations, and other entities of research interest to enable browsing, searching, visualizing, and generating Linked Open (research) Data. The DCO-VIVO solution expedites research collaboration between DCO scientists and communities. Based on DCO's specific requirements, the DCO Data Science team developed a series of extensions to the VIVO platform including extending the VIVO information model, extended query over the semantic information within VIVO, integration with other open source collaborative environments and data management systems, using single sign-on, assigning of unique Handles to DCO objects, and publication and dataset ingesting extensions using existing publication systems. We present here the iterative development of these requirements that are now in daily use by the DCO community of scientists for research reporting, information sharing, and resource discovery in support of research activities and program management.

Power and Knowledge-Building in Teacher Inquiry: Negotiating Interpersonal and Ideational Difference

ERIC Educational Resources Information Center

Spicer, David H. Eddy

2011-01-01

Professional collaboration in schools features prominently in contemporary approaches to educational change. Advocates highlight the importance of situated knowledge to continuous teacher learning, sustained school reform and improved student learning. Critics portray collaboration as an invisible and coercive means of official control. The…

A Collaborative Problem-Solving Process through Environmental Field Studies

ERIC Educational Resources Information Center

Kim, Mijung; Tan, Hoe Teck

2013-01-01

This study explored and documented students' responses to opportunities for collective knowledge building and collaboration in a problem-solving process within complex environmental challenges and pressing issues with various dimensions of knowledge and skills. Middle-school students ("n" =?16; age 14) and high-school students…

Online Collaboration--How to Start

ERIC Educational Resources Information Center

Lindsay, Julie

2016-01-01

Thanks to the development of faster Internet and better technology tools, students and teachers can network, collaborate, co-create products, build knowledge together, and share that knowledge with whomever they want around the world. Julie Lindsay describes online resources, tools, and projects that teachers can use for online global…

Transferring skills in quality collaboratives focused on improving patient logistics.

PubMed

Weggelaar-Jansen, Anne Marie; van Wijngaarden, Jeroen

2018-04-02

A quality improvement collaborative, often used by the Institute for Healthcare Improvement, is used to educate healthcare professionals and improve healthcare at the same time. However, no prior research has been done on the knowledge and skills healthcare professionals need to achieve improvements or the extent to which quality improvement collaboratives help enhance both knowledge and skills. Our research focused on quality improvement collaboratives aiming to improve patient logistics and tried to identify which knowledge and skills are required and to what extent these were enhanced during the QIC. We defined skills important for logistic improvements in a three-phase Delphi study. Based on the Delphi results we made a questionnaire. We surveyed participants in a national quality improvement collaborative to assess the skills rated as 1) important, 2) available and 3) improved during the collaborative. At two sense-making meetings, experts reflected on our findings and hypothesized on how to improve (logistics) collaboratives. The Delphi study found 18 skills relevant for reducing patient access time and 21 for reducing throughput time. All skills retrieved from the Delphi study were scored as 'important' in the survey. Teams especially lacked soft skills connected to project and change management. Analytical skills increased the most, while more reflexive skills needed for the primary goal of the collaborative (reduce access and throughput times) increased modestly. At two sense-making meetings, attendees suggested four improvements for a quality improvement collaborative: 1) shift the focus to project- and change management skills; 2) focus more on knowledge transfer to colleagues; 3) teach participants to adapt the taught principles to their own situations; and 4) foster intra-project reflexive learning to translate gained insights to other projects (inter-project learning). Our findings seem to suggest that Quality collaboratives could benefit if more attention is paid to the transfer of 'soft skills' (e.g. change, project management and communication skills) and reflexive skills (e.g. adjusting logistics principles to specific situations and inter-project translation of experiences).

A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks

ERIC Educational Resources Information Center

Anaya, Antonio R.; Boticario, Jesus G.

2009-01-01

Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collaboration. We have developed a scalable data mining method, whose objective is to infer information on the collaboration during the collaboration process in a…

Carried by History: Cesar Lattes, Nuclear Emulsions, and the Discovery of the Pi-meson

NASA Astrophysics Data System (ADS)

Vieira, Cássio Leite; Videira, Antonio Augusto Passos

2014-03-01

We analyze the role played by the Brazilian physicist Cesar Lattes (1924-2005) in the historical development of the nuclear emulsion technique and in the co-discovery of the pion. His works influenced and gave impetus to the development of experimental physics in Brazil, the foundation of a national center dedicated to physics research, the beginnings of Brazilian "Big Science," and the inauguration of a long-lasting collaboration between Brazil and Japan in the field of comic ray physics.

Mouse Models for Drug Discovery. Can New Tools and Technology Improve Translational Power?

PubMed Central

Zuberi, Aamir; Lutz, Cathleen

2016-01-01

Abstract The use of mouse models in biomedical research and preclinical drug evaluation is on the rise. The advent of new molecular genome-altering technologies such as CRISPR/Cas9 allows for genetic mutations to be introduced into the germ line of a mouse faster and less expensively than previous methods. In addition, the rapid progress in the development and use of somatic transgenesis using viral vectors, as well as manipulations of gene expression with siRNAs and antisense oligonucleotides, allow for even greater exploration into genomics and systems biology. These technological advances come at a time when cost reductions in genome sequencing have led to the identification of pathogenic mutations in patient populations, providing unprecedented opportunities in the use of mice to model human disease. The ease of genetic engineering in mice also offers a potential paradigm shift in resource sharing and the speed by which models are made available in the public domain. Predictively, the knowledge alone that a model can be quickly remade will provide relief to resources encumbered by licensing and Material Transfer Agreements. For decades, mouse strains have provided an exquisite experimental tool to study the pathophysiology of the disease and assess therapeutic options in a genetically defined system. However, a major limitation of the mouse has been the limited genetic diversity associated with common laboratory mice. This has been overcome with the recent development of the Collaborative Cross and Diversity Outbred mice. These strains provide new tools capable of replicating genetic diversity to that approaching the diversity found in human populations. The Collaborative Cross and Diversity Outbred strains thus provide a means to observe and characterize toxicity or efficacy of new therapeutic drugs for a given population. The combination of traditional and contemporary mouse genome editing tools, along with the addition of genetic diversity in new modeling systems, are synergistic and serve to make the mouse a better model for biomedical research, enhancing the potential for preclinical drug discovery and personalized medicine. PMID:28053071

The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences.

PubMed

Merchant, Nirav; Lyons, Eric; Goff, Stephen; Vaughn, Matthew; Ware, Doreen; Micklos, David; Antin, Parker

2016-01-01

The iPlant Collaborative provides life science research communities access to comprehensive, scalable, and cohesive computational infrastructure for data management; identity management; collaboration tools; and cloud, high-performance, high-throughput computing. iPlant provides training, learning material, and best practice resources to help all researchers make the best use of their data, expand their computational skill set, and effectively manage their data and computation when working as distributed teams. iPlant's platform permits researchers to easily deposit and share their data and deploy new computational tools and analysis workflows, allowing the broader community to easily use and reuse those data and computational analyses.

Dealing with conflicts on knowledge in tutorial groups.

PubMed

Aarnio, Matti; Lindblom-Ylänne, Sari; Nieminen, Juha; Pyörälä, Eeva

2013-05-01

The aim of our study was to gain understanding of different types of conflicts on knowledge in the discussions of problem-based learning tutorial groups, and how such conflicts are dealt with. We examined first-year medical and dental students' (N = 33) conflicts on knowledge in four videotaped reporting phase tutorials. A coding scheme was created for analysing verbatim transcripts of 43 conflict episodes in order to find out whether the conflict episodes were about factual or conceptual knowledge and how the students elaborated the knowledge. Conflict episodes were relatively rare (taking up 7.6 % of the time) in the videotaped groups. Conflict episodes were more frequently about factual knowledge (58 %) than conceptual knowledge (42 %), but conflicts on conceptual knowledge lasted longer and were more often elaborated. Elaboration was, however, more frequently done individually than collaboratively. Conflict episodes were generally fairly short (mean duration 28 s). This was due to a lack of thorough argumentation and collaborative elaboration of conflicting ideas. The results suggest that students' skills to bring out differences in each other's conceptual thinking, the depth of argumentation and the use of questions that elicit elaboration need to be improved. Tutors' skills to facilitate the collaborative resolving of conflicts on knowledge call for further study.

Collaboration for rare disease drug discovery research.

PubMed

Litterman, Nadia K; Rhee, Michele; Swinney, David C; Ekins, Sean

2014-01-01

Rare disease research has reached a tipping point, with the confluence of scientific and technologic developments that if appropriately harnessed, could lead to key breakthroughs and treatments for this set of devastating disorders. Industry-wide trends have revealed that the traditional drug discovery research and development (R&D) model is no longer viable, and drug companies are evolving their approach. Rather than only pursue blockbuster therapeutics for heterogeneous, common diseases, drug companies have increasingly begun to shift their focus to rare diseases. In academia, advances in genetics analyses and disease mechanisms have allowed scientific understanding to mature, but the lack of funding and translational capability severely limits the rare disease research that leads to clinical trials. Simultaneously, there is a movement towards increased research collaboration, more data sharing, and heightened engagement and active involvement by patients, advocates, and foundations. The growth in networks and social networking tools presents an opportunity to help reach other patients but also find researchers and build collaborations. The growth of collaborative software that can enable researchers to share their data could also enable rare disease patients and foundations to manage their portfolio of funded projects for developing new therapeutics and suggest drug repurposing opportunities. Still there are many thousands of diseases without treatments and with only fragmented research efforts. We will describe some recent progress in several rare diseases used as examples and propose how collaborations could be facilitated. We propose that the development of a center of excellence that integrates and shares informatics resources for rare diseases sponsored by all of the stakeholders would help foster these initiatives.

Collaboration for rare disease drug discovery research

PubMed Central

Litterman, Nadia K.; Rhee, Michele; Swinney, David C.; Ekins, Sean

2014-01-01

Rare disease research has reached a tipping point, with the confluence of scientific and technologic developments that if appropriately harnessed, could lead to key breakthroughs and treatments for this set of devastating disorders. Industry-wide trends have revealed that the traditional drug discovery research and development (R&D) model is no longer viable, and drug companies are evolving their approach. Rather than only pursue blockbuster therapeutics for heterogeneous, common diseases, drug companies have increasingly begun to shift their focus to rare diseases. In academia, advances in genetics analyses and disease mechanisms have allowed scientific understanding to mature, but the lack of funding and translational capability severely limits the rare disease research that leads to clinical trials. Simultaneously, there is a movement towards increased research collaboration, more data sharing, and heightened engagement and active involvement by patients, advocates, and foundations. The growth in networks and social networking tools presents an opportunity to help reach other patients but also find researchers and build collaborations. The growth of collaborative software that can enable researchers to share their data could also enable rare disease patients and foundations to manage their portfolio of funded projects for developing new therapeutics and suggest drug repurposing opportunities. Still there are many thousands of diseases without treatments and with only fragmented research efforts. We will describe some recent progress in several rare diseases used as examples and propose how collaborations could be facilitated. We propose that the development of a center of excellence that integrates and shares informatics resources for rare diseases sponsored by all of the stakeholders would help foster these initiatives. PMID:25685324

Discovery of the Collaborative Nature of Science with Undergraduate Science Majors and Non-Science Majors through the Identification of Microorganisms Enriched in Winogradsky Columns.

PubMed

Ramirez, Jasmine; Pinedo, Catalina Arango; Forster, Brian M

2015-12-01

Today's science classrooms are addressing the need for non-scientists to become scientifically literate. A key aspect includes the recognition of science as a process for discovery. This process relies upon interdisciplinary collaboration. We designed a semester-long collaborative exercise that allows science majors taking a general microbiology course and non-science majors taking an introductory environmental science course to experience collaboration in science by combining their differing skill sets to identify microorganisms enriched in Winogradsky columns. These columns are self-sufficient ecosystems that allow researchers to study bacterial populations under specified environmental conditions. Non-science majors identified phototrophic bacteria enriched in the column by analyzing the signature chlorophyll absorption spectra whereas science majors used 16S rRNA gene sequencing to identify the general bacterial diversity. Students then compiled their results and worked together to generate lab reports with their final conclusions identifying the microorganisms present in their column. Surveys and lab reports were utilized to evaluate the learning objectives of this activity. In pre-surveys, nonmajors' and majors' answers diverged considerably, with majors providing responses that were more accurate and more in line with the working definition of collaboration. In post-surveys, the answers between majors and nonmajors converged, with both groups providing accurate responses. Lab reports showed that students were able to successfully identify bacteria present in the columns. These results demonstrate that laboratory exercises designed to group students across disciplinary lines can be an important tool in promoting science education across disciplines.

Creating Socially Networked Knowledge through Interdisciplinary Collaboration

ERIC Educational Resources Information Center

Chuk, Eric; Hoetzlein, Rama; Kim, David; Panko, Julia

2012-01-01

We report on the experience of creating a socially networked system, the Research-oriented Social Environment (RoSE), for representing knowledge in the form of relationships between people, documents, and groups. Developed as an intercampus, interdisciplinary project of the University of California, this work reflects on a collaboration between…

Techtalk: Wikis and Collaborative Knowledge Construction

ERIC Educational Resources Information Center

Caverly, David C.; Ward, Anne

2008-01-01

In the last column, we began discussing Web 2.0 applications. In this column, we'll review participatory, social networking software called "wikis." We'll define wikis, discuss their use in college classrooms, explore benefits provided for collaborative knowledge construction, and explain five types of wikis with applications to developmental…

Design and Architecture of Collaborative Online Communities: A Quantitative Analysis

ERIC Educational Resources Information Center

Aviv, Reuven; Erlich, Zippy; Ravid, Gilad

2004-01-01

This paper considers four aspects of online communities. Design, mechanisms, architecture, and the constructed knowledge. We hypothesize that different designs of communities drive different mechanisms, which give rise to different architectures, which in turn result in different levels of collaborative knowledge construction. To test this chain…

Developing Reflective Dispositions through Collaborative Knowledge-Building during Small Group Bible Study

ERIC Educational Resources Information Center

Toh, Tze Keong; Koh, Joyce Hwee Ling; Chai, Ching Sing

2017-01-01

This article explores the use of a constructivist pedagogical approach to cultivate reflective dispositions during small group Bible study. Conducted in a local church Bible class setting (n = 12), the instructional design emulated the reflective thinking process, while adopting collaborative knowledge-building as its pedagogical framework.…

Critical Success Factors for Knowledge Transfer Collaborations between University and Industry

ERIC Educational Resources Information Center

Schofield, Tatiana

2013-01-01

In a fast moving business environment university-industry collaborations play a critical role in contributing to national economies and furthering a competitive advantage. Knowledge transfer from university to industry is supported by national governments as part of their innovation, national growth and competitiveness agenda. A…

The Value of Coaching: Collaborative Relationships Spur Professional Growth

ERIC Educational Resources Information Center

Kang, Grace Y.

2016-01-01

Teachers do not simply want resources given to them. They often seek out relationships from more knowledgeable or experienced colleagues to ask advice, model lessons, or start an inquiry group. Establishing relationships within collaboration is essential for learning and knowledge development (Putnam & Borko, 2000). This study's goal was to…

EVA: Collaborative Distributed Learning Environment Based in Agents.

ERIC Educational Resources Information Center

Sheremetov, Leonid; Tellez, Rolando Quintero

In this paper, a Web-based learning environment developed within the project called Virtual Learning Spaces (EVA, in Spanish) is presented. The environment is composed of knowledge, collaboration, consulting, experimentation, and personal spaces as a collection of agents and conventional software components working over the knowledge domains. All…

EVA: An Interactive Web-Based Collaborative Learning Environment

ERIC Educational Resources Information Center

Sheremetov, Leonid; Arenas, Adolfo Guzman

2002-01-01

In this paper, a Web-based learning environment developed within the project called Virtual Learning Spaces (EVA, in Spanish) is described. The environment is composed of knowledge, collaboration, consulting and experimentation spaces as a collection of agents and conventional software components working over the knowledge domains. All user…

Toward a Script Theory of Guidance in Computer-Supported Collaborative Learning

PubMed Central

Fischer, Frank; Kollar, Ingo; Stegmann, Karsten; Wecker, Christof

2013-01-01

This article presents an outline of a script theory of guidance for computer-supported collaborative learning (CSCL). With its 4 types of components of internal and external scripts (play, scene, role, and scriptlet) and 7 principles, this theory addresses the question of how CSCL practices are shaped by dynamically reconfigured internal collaboration scripts of the participating learners. Furthermore, it explains how internal collaboration scripts develop through participation in CSCL practices. It emphasizes the importance of active application of subject matter knowledge in CSCL practices, and it prioritizes transactive over nontransactive forms of knowledge application in order to facilitate learning. Further, the theory explains how external collaboration scripts modify CSCL practices and how they influence the development of internal collaboration scripts. The principles specify an optimal scaffolding level for external collaboration scripts and allow for the formulation of hypotheses about the fading of external collaboration scripts. Finally, the article points toward conceptual challenges and future research questions. PMID:23378679

Dynamic robustness of knowledge collaboration network of open source product development community

NASA Astrophysics Data System (ADS)

Zhou, Hong-Li; Zhang, Xiao-Dong

2018-01-01

As an emergent innovative design style, open source product development communities are characterized by a self-organizing, mass collaborative, networked structure. The robustness of the community is critical to its performance. Using the complex network modeling method, the knowledge collaboration network of the community is formulated, and the robustness of the network is systematically and dynamically studied. The characteristics of the network along the development period determine that its robustness should be studied from three time stages: the start-up, development and mature stages of the network. Five kinds of user-loss pattern are designed, to assess the network's robustness under different situations in each of these three time stages. Two indexes - the largest connected component and the network efficiency - are used to evaluate the robustness of the community. The proposed approach is applied in an existing open source car design community. The results indicate that the knowledge collaboration networks show different levels of robustness in different stages and different user loss patterns. Such analysis can be applied to provide protection strategies for the key users involved in knowledge dissemination and knowledge contribution at different stages of the network, thereby promoting the sustainable and stable development of the open source community.

The Impact of Chemical Probes in Drug Discovery: A Pharmaceutical Industry Perspective.

PubMed

Garbaccio, Robert M; Parmee, Emma R

2016-01-21

Chemical probes represent an important component of both academic and pharmaceutical drug discovery research. As a complement to prior reviews that have defined this scientific field, we aim to provide an industry perspective on the value of having high-quality chemical probes throughout the course of preclinical research. By studying examples from the internal Merck pipeline, we recognize that these probes require significant collaborative investment to realize their potential impact in clarifying the tractability and translation of a given therapeutic target. This perspective concludes with recommendations for chemical probe discovery aimed toward maximizing their potential to identify targets that result in the successful delivery of novel therapeutics. Copyright © 2016 Elsevier Ltd. All rights reserved.

Al Gore did Not Invent the Internet, Hans Christian Oersted did in 1820

NASA Astrophysics Data System (ADS)

Roberts, James; Anand, Aman; Dahiya, Jai

2009-04-01

In this talk it will be shown how the simple process of a current in a wire producing ``action at a distance'' in a compass can lead to development of the telegraph, telephone, wireless communication and finally to the internet. This discovery led to the invention of a motor and an electric generator. Such simple discoveries often have profound effects on what we are able to do. A discussion of how activities based on this discovery are being used in the Regional Collaborative for Excellence in Science Teaching UNT to engage students and teachers in science activities. Hand out materials will be provided to the audience on these activities.

On the Growth of Scientific Knowledge: Yeast Biology as a Case Study

PubMed Central

He, Xionglei; Zhang, Jianzhi

2009-01-01

The tempo and mode of human knowledge expansion is an enduring yet poorly understood topic. Through a temporal network analysis of three decades of discoveries of protein interactions and genetic interactions in baker's yeast, we show that the growth of scientific knowledge is exponential over time and that important subjects tend to be studied earlier. However, expansions of different domains of knowledge are highly heterogeneous and episodic such that the temporal turnover of knowledge hubs is much greater than expected by chance. Familiar subjects are preferentially studied over new subjects, leading to a reduced pace of innovation. While research is increasingly done in teams, the number of discoveries per researcher is greater in smaller teams. These findings reveal collective human behaviors in scientific research and help design better strategies in future knowledge exploration. PMID:19300476

On the growth of scientific knowledge: yeast biology as a case study.

PubMed

He, Xionglei; Zhang, Jianzhi

2009-03-01

The tempo and mode of human knowledge expansion is an enduring yet poorly understood topic. Through a temporal network analysis of three decades of discoveries of protein interactions and genetic interactions in baker's yeast, we show that the growth of scientific knowledge is exponential over time and that important subjects tend to be studied earlier. However, expansions of different domains of knowledge are highly heterogeneous and episodic such that the temporal turnover of knowledge hubs is much greater than expected by chance. Familiar subjects are preferentially studied over new subjects, leading to a reduced pace of innovation. While research is increasingly done in teams, the number of discoveries per researcher is greater in smaller teams. These findings reveal collective human behaviors in scientific research and help design better strategies in future knowledge exploration.

The web server of IBM's Bioinformatics and Pattern Discovery group.

PubMed

Huynh, Tien; Rigoutsos, Isidore; Parida, Laxmi; Platt, Daniel; Shibuya, Tetsuo

2003-07-01

We herein present and discuss the services and content which are available on the web server of IBM's Bioinformatics and Pattern Discovery group. The server is operational around the clock and provides access to a variety of methods that have been published by the group's members and collaborators. The available tools correspond to applications ranging from the discovery of patterns in streams of events and the computation of multiple sequence alignments, to the discovery of genes in nucleic acid sequences and the interactive annotation of amino acid sequences. Additionally, annotations for more than 70 archaeal, bacterial, eukaryotic and viral genomes are available on-line and can be searched interactively. The tools and code bundles can be accessed beginning at http://cbcsrv.watson.ibm.com/Tspd.html whereas the genomics annotations are available at http://cbcsrv.watson.ibm.com/Annotations/.

The web server of IBM's Bioinformatics and Pattern Discovery group

PubMed Central

Huynh, Tien; Rigoutsos, Isidore; Parida, Laxmi; Platt, Daniel; Shibuya, Tetsuo

2003-01-01

We herein present and discuss the services and content which are available on the web server of IBM's Bioinformatics and Pattern Discovery group. The server is operational around the clock and provides access to a variety of methods that have been published by the group's members and collaborators. The available tools correspond to applications ranging from the discovery of patterns in streams of events and the computation of multiple sequence alignments, to the discovery of genes in nucleic acid sequences and the interactive annotation of amino acid sequences. Additionally, annotations for more than 70 archaeal, bacterial, eukaryotic and viral genomes are available on-line and can be searched interactively. The tools and code bundles can be accessed beginning at http://cbcsrv.watson.ibm.com/Tspd.html whereas the genomics annotations are available at http://cbcsrv.watson.ibm.com/Annotations/. PMID:12824385

The Transient High-Energy Sky and Early Universe Surveyor (THESEUS)

NASA Astrophysics Data System (ADS)

Amati, L.

2016-10-01

THESEUS is a mission concept by a large international collaboration aimed at exploiting GRBs for investigating the early universe and at vastly increasing the discovery space of the high energy transient phenomena over the entire cosmic history.

Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing Perspective

PubMed Central

Lötsch, Jörn; Lippmann, Catharina; Kringel, Dario; Ultsch, Alfred

2017-01-01

Genes causally involved in human insensitivity to pain provide a unique molecular source of studying the pathophysiology of pain and the development of novel analgesic drugs. The increasing availability of “big data” enables novel research approaches to chronic pain while also requiring novel techniques for data mining and knowledge discovery. We used machine learning to combine the knowledge about n = 20 genes causally involved in human hereditary insensitivity to pain with the knowledge about the functions of thousands of genes. An integrated computational analysis proposed that among the functions of this set of genes, the processes related to nervous system development and to ceramide and sphingosine signaling pathways are particularly important. This is in line with earlier suggestions to use these pathways as therapeutic target in pain. Following identification of the biological processes characterizing hereditary insensitivity to pain, the biological processes were used for a similarity analysis with the functions of n = 4,834 database-queried drugs. Using emergent self-organizing maps, a cluster of n = 22 drugs was identified sharing important functional features with hereditary insensitivity to pain. Several members of this cluster had been implicated in pain in preclinical experiments. Thus, the present concept of machine-learned knowledge discovery for pain research provides biologically plausible results and seems to be suitable for drug discovery by identifying a narrow choice of repurposing candidates, demonstrating that contemporary machine-learned methods offer innovative approaches to knowledge discovery from available evidence. PMID:28848388

Using Appropriate Digital Tools to Overcome Barriers to Collaborative Learning in Classrooms

ERIC Educational Resources Information Center

Wardlow, Liane; Harm, Eian

2015-01-01

Collaborative learning provides students with vital opportunities to create and build knowledge. Existing technologies can facilitate collaborative learning. However, barriers exist to enacting collaborative practices related to the coverage of material for assessments and classroom management concerns, among others. Teachers can overcome these…

Applying Knowledge Discovery in Databases in Public Health Data Set: Challenges and Concerns

PubMed Central

Volrathongchia, Kanittha

2003-01-01

In attempting to apply Knowledge Discovery in Databases (KDD) to generate a predictive model from a health care dataset that is currently available to the public, the first step is to pre-process the data to overcome the challenges of missing data, redundant observations, and records containing inaccurate data. This study will demonstrate how to use simple pre-processing methods to improve the quality of input data. PMID:14728545

Big, Deep, and Smart Data in Scanning Probe Microscopy

DOE PAGES

Kalinin, Sergei V.; Strelcov, Evgheni; Belianinov, Alex; ...

2016-09-27

Scanning probe microscopy techniques open the door to nanoscience and nanotechnology by enabling imaging and manipulation of structure and functionality of matter on nanometer and atomic scales. We analyze the discovery process by SPM in terms of information flow from tip-surface junction to the knowledge adoption by scientific community. Furthermore, we discuss the challenges and opportunities offered by merging of SPM and advanced data mining, visual analytics, and knowledge discovery technologies.

Exploiting Early Intent Recognition for Competitive Advantage

DTIC Science & Technology

2009-01-01

basketball [Bhan- dari et al., 1997; Jug et al., 2003], and Robocup soccer sim- ulations [Riley and Veloso, 2000; 2002; Kuhlmann et al., 2006] and non...actions (e.g. before, after, around). Jug et al. [2003] used a similar framework for offline basketball game analysis. More recently, Hess et al...and K. Ramanujam. Advanced Scout: Data mining and knowledge discovery in NBA data. Data Mining and Knowledge Discovery, 1(1):121–125, 1997. [Chang

An Alternative Time for Telling: When Conceptual Instruction Prior to Exploration Improves Mathematical Knowledge

ERIC Educational Resources Information Center

Fyfe, Emily R.; DeCaro, Marci S.; Rittle-Johnson, Bethany

2013-01-01

An emerging consensus suggests that guided discovery, which combines discovery and instruction, is a more effective educational approach than either one in isolation. The goal of this study was to examine two specific forms of guided discovery, testing whether conceptual instruction should precede or follow exploratory problem solving. In both…

Knowledge Management in Higher Education: A Knowledge Repository Approach

ERIC Educational Resources Information Center

Wedman, John; Wang, Feng-Kwei

2005-01-01

One might expect higher education, where the discovery and dissemination of new and useful knowledge is vital, to be among the first to implement knowledge management practices. Surprisingly, higher education has been slow to implement knowledge management practices (Townley, 2003). This article describes an ongoing research and development effort…

Empirical study using network of semantically related associations in bridging the knowledge gap.

PubMed

Abedi, Vida; Yeasin, Mohammed; Zand, Ramin

2014-11-27

The data overload has created a new set of challenges in finding meaningful and relevant information with minimal cognitive effort. However designing robust and scalable knowledge discovery systems remains a challenge. Recent innovations in the (biological) literature mining tools have opened new avenues to understand the confluence of various diseases, genes, risk factors as well as biological processes in bridging the gaps between the massive amounts of scientific data and harvesting useful knowledge. In this paper, we highlight some of the findings using a text analytics tool, called ARIANA--Adaptive Robust and Integrative Analysis for finding Novel Associations. Empirical study using ARIANA reveals knowledge discovery instances that illustrate the efficacy of such tool. For example, ARIANA can capture the connection between the drug hexamethonium and pulmonary inflammation and fibrosis that caused the tragic death of a healthy volunteer in a 2001 John Hopkins asthma study, even though the abstract of the study was not part of the semantic model. An integrated system, such as ARIANA, could assist the human expert in exploratory literature search by bringing forward hidden associations, promoting data reuse and knowledge discovery as well as stimulating interdisciplinary projects by connecting information across the disciplines.

Understanding social collaboration between actors and technology in an automated and digitised deep mining environment.

PubMed

Sanda, M-A; Johansson, J; Johansson, B; Abrahamsson, L

2011-10-01

The purpose of this article is to develop knowledge and learning on the best way to automate organisational activities in deep mines that could lead to the creation of harmony between the human, technical and the social system, towards increased productivity. The findings showed that though the introduction of high-level technological tools in the work environment disrupted the social relations developed over time amongst the employees in most situations, the technological tools themselves became substitute social collaborative partners to the employees. It is concluded that, in developing a digitised mining production system, knowledge of the social collaboration between the humans (miners) and the technology they use for their work must be developed. By implication, knowledge of the human's subject-oriented and object-oriented activities should be considered as an important integral resource for developing a better technological, organisational and human interactive subsystem when designing the intelligent automation and digitisation systems for deep mines. STATEMENT OF RELEVANCE: This study focused on understanding the social collaboration between humans and the technologies they use to work in underground mines. The learning provides an added knowledge in designing technologies and work organisations that could better enhance the human-technology interactive and collaborative system in the automation and digitisation of underground mines.

The Role of Gender in Chagas Disease Prevention and Control in Honduras: An Analysis of Communication and Collaboration Networks.

PubMed

Triana, Diana Rocío Rodríguez; Mertens, Frédéric; Zúniga, Concepción Valeriano; Mendoza, Yolanda; Nakano, Eduardo Yoshio; Monroy, Maria Carlota

2016-09-01

In Honduras, where Chagas disease is a serious health and environmental concern, prevention measures face the challenge of achieving widespread and long-term sustainable adoption by communities. The article integrates social network analysis and a gender-sensitive approach to understand the role of men and women in the implementation of a community-level intervention, based on the adoption of housing improvements to reduce the presence of the insect vector. A total of 108 people in the community of El Salitre were interviewed. Data were collected on socio-demographic characteristics, participation in project activities, communication and collaboration networks related to Chagas disease prevention, knowledge of Chagas disease, and adoption of housing improvements techniques. Communication mostly occurred between the same gender individuals and was associated with knowledge of Chagas disease. Socioeconomic status, Chagas disease knowledge, and collaboration with men were associated with women adopting housing improvements. For men, however, participation in project activities, formal education, and collaboration with women were associated with adoption. These findings suggest that men and women were driven by distinct concerns, interests, and motivations when adopting new Chagas disease prevention strategies. Participatory community interventions that seek to generate health knowledge and foster collaborations to reduce health risk should address gender differences.

Establishing good collaborative research practices in the responsible conduct of research in nursing science.

PubMed

Ulrich, Connie M; Wallen, Gwenyth R; Cui, Naixue; Chittams, Jesse; Sweet, Monica; Plemmons, Dena

2015-01-01

Team science is advocated to speed the pace of scientific discovery, yet the goals of collaborative practice in nursing science and the responsibilities of nurse stakeholders are sparse and inconclusive. The purpose of this study was to examine nurse scientists' views on collaborative research as part of a larger study on standards of scientific conduct. Web-based descriptive survey of nurse scientists randomly selected from 50 doctoral graduate programs in the United States. Nearly forty percent of nurse respondents were not able to identify good collaborative practices for the discipline; more than three quarters did not know of any published guidelines available to them. Successful research collaborations were challenged by different expectations of authorship and data ownership, lack of timeliness and communication, poorly defined roles and responsibilities, language barriers, and when they involve junior and senior faculty working together on a project. Individual and organizational standards, practices, and policies for collaborative research needs clarification within the discipline. Copyright © 2015 Elsevier Inc. All rights reserved.

Virtual Observatories, Data Mining, and Astroinformatics

NASA Astrophysics Data System (ADS)

Borne, Kirk

The historical, current, and future trends in knowledge discovery from data in astronomy are presented here. The story begins with a brief history of data gathering and data organization. A description of the development ofnew information science technologies for astronomical discovery is then presented. Among these are e-Science and the virtual observatory, with its data discovery, access, display, and integration protocols; astroinformatics and data mining for exploratory data analysis, information extraction, and knowledge discovery from distributed data collections; new sky surveys' databases, including rich multivariate observational parameter sets for large numbers of objects; and the emerging discipline of data-oriented astronomical research, called astroinformatics. Astroinformatics is described as the fourth paradigm of astronomical research, following the three traditional research methodologies: observation, theory, and computation/modeling. Astroinformatics research areas include machine learning, data mining, visualization, statistics, semantic science, and scientific data management.Each of these areas is now an active research discipline, with significantscience-enabling applications in astronomy. Research challenges and sample research scenarios are presented in these areas, in addition to sample algorithms for data-oriented research. These information science technologies enable scientific knowledge discovery from the increasingly large and complex data collections in astronomy. The education and training of the modern astronomy student must consequently include skill development in these areas, whose practitioners have traditionally been limited to applied mathematicians, computer scientists, and statisticians. Modern astronomical researchers must cross these traditional discipline boundaries, thereby borrowing the best of breed methodologies from multiple disciplines. In the era of large sky surveys and numerous large telescopes, the potential for astronomical discovery is equally large, and so the data-oriented research methods, algorithms, and techniques that are presented here will enable the greatest discovery potential from the ever-growing data and information resources in astronomy.

Using Web-Based Collaborative Forecasting to Enhance Information Literacy and Disciplinary Knowledge

ERIC Educational Resources Information Center

Buckley, Patrick; Doyle, Elaine

2016-01-01

This paper outlines how an existing collaborative forecasting tool called a prediction market (PM) can be integrated into an educational context to enhance information literacy skills and cognitive disciplinary knowledge. The paper makes a number of original contributions. First, it describes how this tool can be packaged as a pedagogical…

An Indigenous Knowledges Perspective on Valid Meaning Making: A Commentary on Research with the EDI and Aboriginal Communities

ERIC Educational Resources Information Center

Sam, Michele A.

2011-01-01

Offering an Indigenous perspective, this commentary discusses collaborative research, shared meaning making, and knowledge building specific to child development, and reflects on social, cultural, and historical aspects that influence these processes. Drawing upon experiences of developing a collaborative research approach with which to engage…

The Knowledge and Perceptions of Prospective Teachers and Speech Language Therapists in Collaborative Language and Literacy Instruction

ERIC Educational Resources Information Center

Wilson, Leanne; McNeill, Brigid; Gillon, Gail T.

2015-01-01

Successful collaboration among speech and language therapists (SLTs) and teachers fosters the creation of communication friendly classrooms that maximize children's spoken and written language learning. However, these groups of professionals may have insufficient opportunity in their professional study to develop the shared knowledge, perceptions…

Facilitating Collaboration, Knowledge Construction and Communication with Web-Enabled Databases.

ERIC Educational Resources Information Center

McNeil, Sara G.; Robin, Bernard R.

This paper presents an overview of World Wide Web-enabled databases that dynamically generate Web materials and focuses on the use of this technology to support collaboration, knowledge construction, and communication. Database applications have been used in classrooms to support learning activities for over a decade, but, although business and…

Collaborative Design of Technology-Enhanced Learning: What Can We Learn from Teacher Talk?

ERIC Educational Resources Information Center

McKenney, Susan; Boschman, Ferry; Pieters, Jules; Voogt, Joke

2016-01-01

The collaborative design of technology-enhanced learning is seen as a practical and effective professional development strategy, especially because teachers learn from each other as they share and apply knowledge. But how teacher design team participants draw on and develop their knowledge has not yet been investigated. This qualitative…

Leading Innovation and Change: Knowledge Creation by Schools for Schools

ERIC Educational Resources Information Center

Harris, Alma

2008-01-01

This article explores the process and practice of knowledge creation within development and research (D and R) networks. It focuses upon D and R networks in England that are currently engaged in collaboration and innovation. Early evaluative evidence suggests that D and R school networks offer "spaces" for collaborative working, mutual…

Collaboration and Knowledge Sharing Using 3D Virtual World on "Second Life"

ERIC Educational Resources Information Center

Rahim, Noor Faridah A.

2013-01-01

A collaborative and knowledge sharing virtual activity on "Second Life" using a learner-centred teaching methodology was initiated between Temasek Polytechnic and The Hong Kong Polytechnic University (HK PolyU) in the October 2011 semester. This paper highlights the author's experience in designing and implementing this e-learning…

The Challenges of Collaborative Knowledge Creation in Open Innovation Teams

ERIC Educational Resources Information Center

Du Chatenier, Elise; Verstegen, Jos A. A. M.; Biemans, Harm J. A.; Mulder, Martin; Omta, Onno

2009-01-01

In open innovation teams, people from different organizations work together to develop new products, services, or markets. This organizational diversity can positively influence collaborative knowledge creation but can frustrate and obstruct the process as well. To increase the success rates of open innovation, it is vital to learn how individuals…

Exploring the Mechanisms of Knowledge Transfer in University-Industry Collaborations: A Study of Companies, Students and Researchers

ERIC Educational Resources Information Center

Nielsen, Christian; Cappelen, Katja

2014-01-01

This article discusses mechanisms, enablers and barriers for knowledge transfer in university-industry collaboration projects involving companies, students and researchers. Data is collected through 35 qualitative interviews with Danish and Norwegian representatives from the above categories. All respondents have been involved in collaborative…