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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’. 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.

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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

Funding Opportunity to Develop Data Analysis Methods and Software
This funding opportunity seeks to develop analysis methods and software in the four topic areas of data compression/reduction, data visualization, data provenance, and data wrangling. This opportunity is part of the Big Data to Knowledge program. Read more . . .

Two funding opportunities for educational activities in Big Data Science
The goal of the NIH BD2K R25 Program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs in Big Data Science.  Funding opportunities are available for educational activities that focus on Courses for Skills Development and on developing Open Educational Resources.

BD2K seeks applications for mentored career development (K01) awards in Big Data Science
The aim of the initiative is to support additional mentored training of scientists who will gain the knowledge and skills necessary to be independent researchers as well as to work in a team environment to develop new Big Data technologies, methods, and tools applicable to basic and clinical research.  Read more . . .

 

Big Data to Knowledge

 

In the News...

BD2K Training on Rock Talk Blog by Dr. Sally Rockey

NIH Press Release: NIH Names Dr. Philip E. Bourne First Associate Director for Data Science

NIH commits $24 million annually for Big Data Centers of Excellence

Big Data is a Big Deal for Biomedical Research  The White House Office of Science and Technology Policy Exit Disclaimer

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

 

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