As biomedical tools and technologies rapidly improve, researchers are producing and analyzing an ever-expanding amount of complex biological data called ‘Big Data’. As one component of the NIH-wide strategy, the Common Fund is supporting the Big Data to Knowledge (BD2K) program, which aims to facilitate broad use of biomedical big data, develop and disseminate analysis methods and software, enhance training for disciplines relevant for large-scale data analysis, and establish centers of excellence for biomedical big data.
BD2K Mission Statement
The mission of the NIH Big Data to Knowledge (BD2K) initiative is to enable biomedical i scientists to capitalize more fully on the Big Data ii being generated by those research communities. With advances in technologies, these investigators are increasingly generating and using large, complex, and diverse datasets. Consequently, the biomedical research enterprise is increasingly becoming data-intensive and data-driven. However, the ability of researchers to locate, analyze, and use Big Data (and more generally all biomedical and behavioral data) is often limited for reasons related to access to relevant software and tools, expertise, and other factors. BD2K aims to develop the new approaches, standards, methods, tools, software, and competencies that will enhance the use of biomedical Big Data by supporting research, implementation, and training in data science and other relevant fields that will lead to:
- Appropriate access to shareable biomedical data through technologies, approaches, and policies that enable and facilitate widespread data sharing, discoverability, management, curation, and meaningful re-use;
- Development of and access to appropriate algorithms, methods, software, and tools for all aspects of the use of Big Data, including data processing, storage, analysis, integration, and visualization;
- Appropriate protections for privacy and intellectual property;
- Development of a sufficient cadre of researchers skilled in the science of Big Data, in addition to elevating general competencies in data usage and analysis across the biomedical research workforce.
Overall, the focus of the BD2K initiative is the development of innovative and transforming approaches as well as tools for making Big Data and data science a more prominent component of biomedical research.
NIH launches BD2K website
NEW! Press Release: NIH issues finalized policy on genomic data sharing. The policy is meant to promote data sharing as a way to speed the translation of data into knowledge, products and procedures that improve health while protecting the privacy of research participants.
An article by members of the NIH BD2K initiative explains how the NIH is planning to better understand and mine biomedical 'big data' to advance knowledge and promote discovery. Read the article here.
Software Discovery Workshop May 12-13, 2014 available via videocast.
This workshop explored the challenges and opportunities associated with citing, tracking, and sharing biomedical software. Watch the videocasts:
May 12th Videocast
May 13th Videocast
In the News...
Click on the image below to watch a brief video of NIH Associate Data Director Dr. Philip Bourne explaining NIH efforts to coordinate strategies related to computation and informatics in biomedicine across its 27 institutes and centers.
NIH Press Release: NIH Names Dr. Philip E. Bourne First Associate Director for Data Science
Big Data is a Big Deal for Biomedical Research The White House Office of Science and Technology Policy
NIH Press Release: NIH proposes critical initiatives to sustain future of U.S. biomedical research. Actions would aim to strengthen the biomedical research workforce and manage deluge of data http://www.nih.gov/news/health/dec2012/od-07.htm