The National Institutes of Health's big data to knowledge (BD2K) initiative: Capitalizing on biomedical big data

Journal of the American Medical Informatics Association

Volumn 21, Issue 6, 2014, Pages 957-958

  Margolis, Ronald ^a   Derr, Leslie ^b   Dunn, Michelle ^c   Huerta, Michael ^d   Larkin, Jennie ^e   Sheehan, Jerry ^d   Guyer, Mark ^f   Green, Eric D ^f  

^a NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

^e NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^f NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOMEDICINE; CLINICAL STUDY; DATA ANALYSIS; DECISION MAKING; ELECTRONIC MEDICAL RECORD; FUNDING; INFORMATION PROCESSING; KNOWLEDGE MANAGEMENT; MEDICAL RESEARCH; MORBIDITY; NATIONAL HEALTH ORGANIZATION; TRANSLATIONAL RESEARCH; UNITED STATES;

BIOMEDICAL RESEARCH; DATASETS AS TOPIC; NATIONAL INSTITUTES OF HEALTH (U.S.); TRANSLATIONAL MEDICAL RESEARCH; UNITED STATES;

EID: 84929050576     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2014-002974     Document Type: Article

References (2)

1. Science. Dealing with data. Science 2011;331:639-806. http://www.sciencemag.org/ content/331/6018.toc#SpecialIssue.
2. Science in the petabyte era. Nature 2008;455:1-136. http://www.nature. com/nature/journal/v455/n7209/index.html.