Global AI Initiative Database

GAIIN is a living repository from more than 80 jurisdictions and organisations. Use the filters to browse through initiatives and find what you are looking for.

Big Data to Knowledge


Added by:   National contact point
Added on:   09 Jul 2025
Updated by:   OECD analyst
Updated on:   09 Jul 2025

The Big Data to Knowledge (BD2K) program supports the R&D of innovative and transformative approaches and tools to maximise and accelerate the utility of big data and data science in biomedical research.

Name in original language

Big Data to Knowledge

Initiative overview

The Big Data to Knowledge (BD2K) program has transitioned from Common Fund support. Common Fund programs are strategic investments that achieve a set of high-impact goals within a 5- to 10-year timeframe. At the conclusion of each program, deliverables transition to other sources of support or use within the scientific community. Please note that since the BD2K program is no longer supported by the Common Fund, the program website is being maintained as an archive and will not be updated on a regular basis.The initiative has the following objective(s):To facilitate data-driven discovery by improving our ability to harvest the wealth of information contained in biomedical big data.To develop and disseminate analysis methods and software.To enhance training relevant for large-scale data analysis.To support efforts toward making datasets FAIR (Findable, Accessible, Interoperable, and Reusable).

Name of responsible organisation (in English)

National Institutes of Health (NIH)

About the policy initiative


Organisation:

  • National Institutes of Health (NIH)

Category:

  • National – AI policy initiatives, regulations, guidelines, standards and programmes or projects

Participating organisations:


Participating countries:


Status:

  • Inactive – initiative complete

Start Year:

  • 2016

End Year:

  • 2016

Binding:

  • Non-binding

Other relevant urls: