Big Data. Mission cri;cal Transforma;onal Transi;onal- - en route to longer- term commitment

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Quentin McDowell
8 years ago
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1 Big Data The biomedical research enterprise is undergoing a phase change with respect to Big Data and data science Trans- NIH problem needing trans- NIH solu;ons Solu;ons include mul;faceted cultural changes New NIH plan is: Mission cri;cal Transforma;onal Transi;onal- - en route to longer- term commitment 1

2 Largest BoBleneck in Biomedical Research Pick Your Data- Related Metaphor! 2

3 Myriad Data Types Genomic Other ʹ Omics Imaging Phenotypic Exposure Clinical 3

4 Data and Informa;cs Working Group acd.od.nih.gov/diwg.htm 4

5 David DeMets, Co- Chair Membership Name Ins;tu;on Title University Wisconsin - Madison Professor, Department of Biosta;s;cs & Medical Informa;cs Lawrence Tabak, Co- Chair NIH Principal Deputy Director Russ Altman Stanford University Professor and Chair, Department of Bioengineering David Botstein Princeton University Director, Lewis- Sigler Ins;tute Andrea Califano Columbia University Chief of Biomedical Informa;cs David Ginsburg, ACD Member; Chair, NCBI Needs- Assessment Panel University of Michigan Professor, Department of Internal Medicine; HHMI Patricia Hurn The University of Texas System Associate Vice Chancellor for Health Science Research Dan Masys University of Washington Affiliate Professor, Department of Biomedical Informa;cs and Medical Educa;on Jill Mesirov, Ad Hoc Member, NCBI Needs- Assessment Panel Broad Ins;tute Associate Director and Chief Informa;cs Officer Shawn Murphy Harvard University Associate Director, Laboratory of Computer Science and Assistant Professor, Department of Neurology Lucila Ohno- Machado University of California, San Diego Associate Dean for Informa;cs, Professor of Medicine, and Chief, Division of Biomedical Informa;cs 5

6 Ad- hoc Membership Name Ins;tu;on Title David Avrin University of California at San Francisco Professor and Vice Chairman, Department of Radiology Paul Chang University of Chicago Professor and Vice Chairman, Department of Radiology Christopher Chute Ted Hanss Mayo Clinic College of Medicine University of Michigan Medical School Professor, Department of Health Sciences Research Chief Informa;on Officer Paul Harris Vanderbilt University Director, Office of Research Informa;cs Marc Overcash Emory University School of Medicine Deputy Chief Informa;on Officer James Thrall MassachuseBs General Hospital, Harvard Medical School A. Jerome York The University of Texas Health Science Center at San Antonio Radiologist- in- Chief and Professor of Radiology Vice President and Chief Informa;on Officer 6

7 Among the Major Problems to Solve 1. Loca;ng the data 2. Geang access to the data 3. Extending policies and prac;ces for data sharing 4. Organizing, managing, and processing biomedical Big Data 5. Developing new methods for analyzing biomedical Big Data 6. Training researchers who can use biomedical Big Data effec;vely 7

8 NIH is Tackling the Big Data Problem 1. New NIH Leadership Posi;on Associate Director for Data Science 2. New Internal NIH Governing/Oversight Bodies Scien;fic Data Council Administra;ve Data Council 3. New Trans- NIH Ini;a;ve Big Data to Knowledge (BD2K) InfrastructurePlus 8

9 Big Data to Knowledge (BD2K): Overview Major trans- NIH ini;a;ve addressing an NIH impera;ve and key roadblock Transforma;onal, cataly;c, and synergis;c Overarching goal: By the end of this decade, enable a quantum leap in the ability of the biomedical research enterprise to maximize the value of the growing volume and complexity of biomedical data 9

10 Four Programma;c Areas I. Facilita;ng Broad Use of Biomedical Big Data II. Developing and Dissemina;ng Analysis Methods and Somware for Biomedical Big Data III. Enhancing Training for Biomedical Big Data IV. Establishing Centers of Excellence for Biomedical Big Data 10

11 Strategic Campus- Wide Ini;a;ves Robust Network to Support NIH Big Data and Science Needs Shared High Performance Computa;onal Resources Agile, Cost- Effec;ve Hos;ng and Storage Informa;on Rich Environment of Systems, Applica;ons and Tools 11

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13 What s in a Name? Big Data Bioinformatics Computational Biology Biomedical Informatics Information Science Quantitative Biology Data Science 13

14 Associate Director for Data Science NIH Data Science Programma;c Czar (aka, Point Person, Strategic Leader, etc.) Reports to NIH Director Eric Green, Ac;ng Search underway (Eric Green & Jim Anderson, Co- Chairs of Search CommiBee) 14

15 Associate Director for Data Science: Responsibili;es Principal advisor to NIH Director and NIH leadership Provides strategic vision and leadership in data science Chair, Scien;fic Data Council Chief steward of Scien;fic Data Council du;es Program lead for Big Data to Knowledge (BD2K) Coordina;on of data science ac;vi;es, both within and outside of NIH Leads long- term strategic planning in data science NIH leader responsible for promo;ng trans- NIH, na;onal, and global policies for data sharing Coordina;on with NIH Chief Informa;on Officer 15

16 Scien;fic Data Council: Overview High- level internal NIH group Chaired by Associate Director for Data Science Reports to NIH Steering CommiBee Partner and coordinate with the parallel Administra;ve Data Council 16

17 Administra;ve Data Council: Overview High- level internal NIH group Chaired by NIH Chief Informa;on Officer Reports to NIH Steering CommiBee Partner and coordinate with the parallel Scien;fic Data Council 17

Big Data. The Advisory Committee to the Director (ACD) Data and Informatics Working Group

Big Data. The Advisory Committee to the Director (ACD) Data and Informatics Working Group Big Data The Advisory Committee to the Director (ACD) Data and Informatics Working Group Trans-NIH Big Data Working Groups Interagency Big Data Group under Networking and IT Research and Development Program