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Big Data to Knowledge

From Wikipedia, the free encyclopedia

Big Data to Knowledge (BD2K) is a project of the National Institutes of Health for knowledge extraction from big data.

BD2K was founded in 2013 in response to a report from the Working Group on Data and Informatics for the Advisory Committee to the Director of the National Institutes of Health.[1]

A significant part of BD2K's plans is to have organizations make plans to share their research data when they make a proposal in response to a funding opportunity announcement.[2]

Philip Bourne was the lead in managing the project until early 2017.[3]

References

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  1. ^ Ohno-Machado, L. (2014). "NIH's Big Data to Knowledge initiative and the advancement of biomedical informatics". Journal of the American Medical Informatics Association. 21 (2): 193. doi:10.1136/amiajnl-2014-002666. ISSN 1067-5027. PMC 3932475. PMID 24509598.
  2. ^ Miller, Katharine (19 February 2013). "NIH Announcement: Big Data Gets Big Support | Biomedical Computation Review". biomedicalcomputationreview.org. Retrieved 28 July 2014.
  3. ^ Margolis, R.; Derr, L.; Dunn, M.; Huerta, M.; Larkin, J.; Sheehan, J.; Guyer, M.; Green, E. D. (2014). "The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data". Journal of the American Medical Informatics Association. 21 (6): 957–958. doi:10.1136/amiajnl-2014-002974. ISSN 1067-5027. PMC 4215061. PMID 25008006.
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