Program Snapshot

As biomedical tools and technologies rapidly improve, researchers are producing and analyzing an ever-expanding amount of complex biological data called “big data.” The Big Data to Knowledge (BD2K) program is a trans-NIH initiative that was launched in 2013 to support the research and development of innovative and transformative approaches and tools to maximize and accelerate the integration of big data and data science into biomedical research. The BD2K Program also supported initial efforts toward making data sets “FAIR” Findable, Accessible, Interoperable, and Reusable. Learn more about the FAIR principles.

Big Data to Knowledge Phase I & II

In its first phase (FY2014-FY2017), BD2K invested $200 million in grant awards to address some major data science challenges and to stimulate data-driven discovery. It focused on facilitating broad use of biomedical big data, developing and disseminating analysis methods and software, enhancing training relevant for large-scale data analysis,and establishing centers of excellence for biomedical big data. These awards will continue through award end dates, and lessons from this initial investment will help inform the second phase of the program (FY2018-FY2021).

BD2K has now entered a second phase that will focus on making the products of research developed in Phase I usable, discoverable, and disseminated to their intended end-users. In addition, the program will continue to pursue approaches to making biomedical big data Findable, Accessible, Interoperable, and Reusable or “FAIR.” It will support the NIH Data Commons Pilot Phase, a trans-NIH initiative to test the feasibility of, and develop best practices for, making NIH-funded data sets and computational tools available through communal, collaborative platforms on public clouds.

For a summary of the BD2K program initiatives please see the 2017 BD2K Flyer.

This page last reviewed on November 21, 2017