1 / 8

NIH Big Data to Knowledge (BD2K)

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

kamal
Download Presentation

NIH Big Data to Knowledge (BD2K)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

  2. NIH Big Data to Knowledge (BD2K) • 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

  3. BD2K: History • 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 • Advisory Committee to the Director Data and Informatics Working Group (ACD DIWG) • Report (June 2012) • NIH Big Data Implementation (‘BD2K’) • Started out as internal working groups shadowing ACD DIWG • Bifurcated in to BD2K and Infrastructure Plus

  4. BD2K: Four Programmatic Areas • Facilitating Broad Use of Biomedical Big Data • Data Catalog • Enabling Research Use of Clinical Data • Frameworks for Data Standards • Developing and Disseminating Analysis Methods and Software for Biomedical Big Data • Software Catalog • Platforms for Data Analysis • 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 • 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

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

  6. BD2K: Workshops • 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)

  7. BD2K: Requests for Information (RFIs)

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

More Related