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NIH Big Data to Knowledge (BD2K) March 4, 2014 Peter Lyster National Institute of General Medical Sciences (NIGMS) NIH.

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Presentation on theme: "NIH Big Data to Knowledge (BD2K) March 4, 2014 Peter Lyster National Institute of General Medical Sciences (NIGMS) NIH."— Presentation transcript:

1 NIH Big Data to Knowledge (BD2K) March 4, 2014 Peter Lyster National Institute of General Medical Sciences (NIGMS) NIH

2 BD2K aims to develop new approaches, standards, methods, tools, software, and competencies that will enhance the use of biomedical Big Data by supporting research, implementation, and training in data science and other relevant fields. Initial 7-year funding plan (thru FY2020) Begins in FY2014 Funding: $27M in FY14, scaling to $100M per year in FY16 - 20 NIH Big Data to Knowledge (BD2K)

3 1.Biomedical Information Science and Technology Initiative (BISTI) National Centers for Biomedical Computing (NCBC) Broad-based FOAs (hardening of software, innovations in software, SBIR) BISTI funding page 2.Advisory Committee to the Director Data and Informatics Working Group (ACD DIWG) Report (June 2012) 3.NIH Big Data Implementation (‘BD2K’) Started out as internal working groups shadowing ACD DIWG Bifurcated in to BD2K and Infrastructure Plus BD2K: History

4 1.Facilitating Broad Use of Biomedical Big Data Data Catalog Enabling Research Use of Clinical Data Frameworks for Data Standards 2.Developing and Disseminating Analysis Methods and Software for Biomedical Big Data Software Catalog Platforms for Data Analysis 3.Enhancing Training for Biomedical Big Data Biologists or clinicians to cross-train in the quantitative sciences Quantitative scientists to cross-train in clinical/biological domains 4.Establishing Centers of Excellence for Biomedical Big Data FOA (RFA-HG-13-009): Centers of Excellence for Big Data Computing in the Biomedical Sciences (U54) NIH-Initiated Centers BD2K: Four Programmatic Areas

5 BD2K Associate Director for Data Science (ADDS) Scientific Data Council (SDC) NIH Director’s Steering Committee NIH Director Trans-NIH Data Science: Governance Philip Bourne

6 I. Broad Use of Big Data Data Catalog (8/13) Enabling Research Use of Clinical Data (9/13) Frameworks for Data Standards (9/13) II. Software: Software Catalog (2/14) III. Training Big Data and Training (7/13) IV. Centers Data Integration (3/14) BD2K: Workshops

7 BD2K: Requests for Information (RFIs)

8 Contact: Peter Lyster (lysterp@mail.nih.gov)lysterp@mail.nih.gov The END

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