nih big data to knowledge (bd2k)

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NIH Big Data to Knowledge (BD2K) h 4, 2014 r Lyster onal Institute of General Medical Sciences (

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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). - PowerPoint PPT Presentation

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Page 1: 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

Page 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

NIH Big Data to Knowledge (BD2K)

Page 3: NIH  Big Data to Knowledge (BD2K)

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

Page 4: NIH  Big Data to Knowledge (BD2K)

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 domains4. 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

Page 5: NIH  Big Data to Knowledge (BD2K)

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

Page 6: NIH  Big Data to Knowledge (BD2K)

 I. Broad Use of Big DataData Catalog (8/13)Enabling Research Use of Clinical Data (9/13) Frameworks for Data Standards (9/13)

II. Software:Software Catalog (2/14)

III. TrainingBig Data and Training (7/13)

IV. CentersData Integration (3/14)

BD2K: Workshops

Page 7: NIH  Big Data to Knowledge (BD2K)

BD2K: Requests for Information (RFIs)

Page 8: NIH  Big Data to Knowledge (BD2K)

Contact:

• Peter Lyster ([email protected])

The END