Blog Archives

NIH Associate Director for Data Science Discusses Opportunities and Challenges of Data Science

At the September 1 meeting of the National Institutes of Health (NIH) Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) Council of Councils, Associate Director for Data Science (ADD) Philip Bourne discussed the opportunities and challenges of data science. Bourne began by asking: “What are we going to do with our data?” He explained that from his point of view, science is at point of significant change as a consequence of the amount of data that is being generated. Biomedical research is becoming more analytical, and scientific change is happening faster than anticipated as a result of faster accumulation of data. He suggested that one could now argue that biomedical research is at that point of digitization, noting that preclinical research has been digital for quite some time. The convergence of the use of the electronic health record (EHR) represents a further drive toward science digitization. Consequently, he stressed the need to assume that there will be some sort of “disruption” going forward, that is, a change in the way science is conducted as a result of digitization. Accordingly, NIH needs to begin thinking about how it will deal with any such disruption, said Bourne. (more…)

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Posted in Issue 18 (October 6), Update, Volume 34 (2015)

Science and Human Rights Coalition Explores the Risks and Promise of Big Data

The AAAS Science and Human Rights Coalition, of which COSSA is a member, held its biannual meeting on January 15, focusing on the connections between Big Data and Human Rights. The Coalition brings together organizations and individuals who recognized a role for scientists and engineers in human rights. (more…)

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Posted in Issue 2 (January 27), Update, Volume 34 (2015)

NIH: BD2K Biomedical Science Training Coordination Center

The National Institutes of Health (NIH) is seeking applications for a coordination center designed to narrow the gap between the availability of biomedical big data and the ability of biomedical scientists to utilize such data accurately, effectively, and efficiently. The funding opportunity announcement, NIH Big Data to Knowledge (BD2K) Biomedical Science Training Coordination Center (RFA-ES-15-004), responds to increasingly large, diverse, and complex biomedical datasets. These datasets tax conventional methods for sharing, managing, and analyzing data. Researchers’ abilities to capitalize on biomedical big data science-based approaches are limited by poor data accessibility and interoperability, the lack of appropriate tools, and insufficient training. (more…)

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Posted in Issue 1 (January 13), Update, Volume 34 (2015)

NIH: BD2K MOOC on Data Management for Biomedical Big Data

The National Institutes of Health (NIH) is seeking applications designed to develop an open, online educational course that complements and/or enhances the training of a workforce to meet the nation’s biomedical, behavioral, and clinical research needs. The funding opportunity announcement (FOA), NIH Big Data to Knowledge (BD2K) Initiative Research Education: Massive Open Online Course (MOOC) on Data Management (RFA-LM-15-001), focuses on curriculum or methods development. (more…)

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Posted in Issue 1 (January 13), Update, Volume 34 (2015)

NIH Issues Final Genomic Data Sharing Policy

The National Institutes of Health (NIH) recently issued its final NIH Genomic Data Sharing (GDS) policy designed to promote data sharing as a way to accelerate the translation of data into knowledge, products, and procedures that improve health but also protect the privacy of research participants. (more…)

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Posted in Issue 17 (September 22), Update, Volume 33 (2014)

NIH Seeks Input on Resources for Data-Related Standards Used in Biomedical Science

The National Institutes of Health (NIH) recently issued a Request for Information (RFI): Input on Information Resources for Data-Related Standards Widely Used in Biomedical Science, seeking comments and ideas to inform the consideration of an NIH Standards Information Resource (NSIR) that would collect, organize, and make available to the public trusted, systematically organized, and curated information about data-related standards. (more…)

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Posted in Issue 16 (September 8), Update, Volume 33 (2014)

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