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

Wed, 07/24/2013 - 12:28pm

The National Institutes of Health (NIH) will fund up to $24 million per year for four years to establish six to eight investigator-initiated Big Data to Knowledge Centers of Excellence. The centers will improve the ability of the research community to use increasingly large and complex data sets through the development and distribution of innovative approaches, methods, software and tools for data sharing, integration, analysis and management. The centers will also provide training for students and researchers to use and develop data science methods.

Biomedical research is increasingly data-intensive, with researchers routinely generating and using large, diverse data sets. Yet the ability to manage, integrate and analyze such data, and to locate and use data generated by others, is often limited due to a lack of tools, accessibility and training. In response, NIH launched the Big Data to Knowledge (BD2K) initiative in December (2012). This initiative supports research, implementation and training in data science that will enable biomedical scientists to capitalize on the transformative opportunities that large datasets provide. The investigator-initiated BD2K Center of Excellence funding opportunity is the first of several BD2K funding opportunities to be announced in coming months.

By encouraging the formation of interdisciplinary teams in a collaborative environment the BD2K Centers of Excellence also seek to increase the involvement of investigators outside of traditional biomedical areas who are experienced with data science.

Applicants responding to the BD2K Center of Excellence funding opportunity announcement should identify a research topic and propose research in data science. They should develop approaches, methods, software and tools for data integration, analysis, database development and management and visualization and modeling to address important research questions. The products from this R&D will be shared and distributed broadly to the research community. The centers are expected to interact as a consortium that cooperatively builds on individual research efforts.

Source: National Institutes of Health

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