NIH Commits $96M For Big Data to Knowledge Centers of Excellence
Wednesday, July 24, 2013
Biomedical research is increasingly data-intensive, with researchers
routinely generating and using large, diverse datasets. 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. 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.
Institutes of Health 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 datasets
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.
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.
"This funding opportunity
represents a concerted effort to leverage the power of NIH in developing
cutting-edge systems to address data science challenges," said NIH
Director Francis S. Collins, M.D., Ph.D. "The goal is to help
researchers translate data into knowledge that will advance discoveries
and improve health, while reducing costs and redundancy."
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 research and development 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.
An information webinar for
prospective applicants will be held on Thursday, Sept. 12, 2013, from 3
p.m. to 5 p.m. EDT. More details about this event and the overall BD2K
initiative can be found at http://bd2k.nih.gov. Applications will be due on Nov. 20, 2013.