Centers of Excellence for Big Data Computing in the Biomedical Sciences (U54)

Centers of Excellence for Big Data Computing in the Biomedical Sciences (U54)

Purpose: Biomedical research is becoming more data-intensive as researchers are generating and using increasingly large, complex, and diverse data sets. This era of “Big Data” taxes the ability of biomedical researchers to locate, analyze, and interact with these data (and more generally all biomedical data) and associated software due to the lack of tools, accessibility, and training.  In response to these new challenges in biomedical research, NIH has developed the Big Data to Knowledge (BD2K) Initiative. Under this FOA, BD2K Centers of Excellence are sought to conduct research to advance the science and utility of Big Data in the context of biomedical and behavioral research, and to create innovative new approaches, methods, software, tools, and related resources.  The Centers will advance the ability of the biomedical research enterprise to use Big Data by producing tools and resources from early-stage to mature development that will be broadly useful to the research community.
Receipt Date: Oct. 20, 2013 (Letter of Intent)
Total Awards: The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications. NIH intends to fund six to eight awards, corresponding to a total of up to $24 million, in Fiscal Year 2014.  Future year amounts will depend on annual appropriations.The application budget may be up to $2 million direct costs per year, not including the F&A costs of subcontracts.
Eligibility: Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with his/her organization to develop an application for support. Individuals from underrepresented racial and ethnic groups as well as individuals with disabilities are always encouraged to apply for NIH support.
Link: http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-13-009.html
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