Data

National Academies’ Gulf Research Program Sponsoring Course on Scientific Synthesis

The Gulf Research Program at the National Academies of Sciences, Engineering, and Medicine is sponsoring a hands-on course on data science run by the National Center for Ecological Analysis and Synthesis. This intensive training is designed to help established researchers, as well as early career researchers gain skills in data management, data science, and scientific synthesis. See the website for details about the program and how to apply. Back to this issue’s table of contents.

NIH Strategic Plan, PMI Cohort, HIV/AIDS, and Big Data Discussed at NIH Advisory Committee Meeting

The December 10-11 meeting of the National Institutes of Health (NIH) Advisory Committee to the Director (ACD) included an update on the progress of several high-profile initiatives NIH is developing, including the Congressionally-mandated NIH-Wide Strategic Plan, the President’s proposed Precision Medicine Cohort Program, assessment of the NIH HIV/AIDS Research Priorities, and the NIH Big Data to Knowledge (BD2k) program.

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 InitiativesĀ (DPCPSI) Council of Councils, Associate Director for Data Science (ADD) Philip Bourne discussed the opportunities and challenges of data science. Bourne began by asking: ā€œWhat are we going to do with our data?ā€ 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…

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.

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…

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.

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.

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