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NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25)
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The over-arching goal of this NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) program is to support educational activities that enhance the diversity of the biomedical, behavioral, and clinical research workforce. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on research experiences and curriculum or methods development.
- Letter of Intent Due Date(s): October 14, 2016
- Application Due Date(s): November, 14, 2016
RFA-MD-16-002 Expiration Date November 15, 2016
In addition, all organizations must meet the following two criteria:
- The applicant institutions are limited to domestic baccalaureate-granting colleges/universities that receive less than $7.5 million (total costs) of NIH research project grant (RPG) funding annually (see below for details).
- The applicant institution must have an award-eligible pool of undergraduate students, at least 25% of whom are supported by Pell grants. These eligibility requirements are intended to target funds to relatively under-resourced institutions with a demonstrated commitment to students from financially disadvantaged backgrounds. These requirements are based on the recognition that (1) many students from low-income backgrounds are also nationally underrepresented in biomedical research, and (2) institutional commitment to these students often comes at the expense of investments in research infrastructure.
For the purposes of determining eligibility as an applicant institution, the annual level of NIH RPG funding received will be the average level calculated over the preceding three fiscal years (FY 2013, FY 2014 and FY 2015), excluding SBIR/STTR funding and RPGs received through the American Recovery and Reinvestment Act (ARRA) as reported on the NIH RePORT website under NIH Awards by Location & Organization (http://projectreporter.nih.gov/reporter.cfm). The percentage of undergraduates with Pell grants will be based on 2015 student financial aid data for the applicant institution, as reflected in the National Center for Education Statistics IPEDS Data Center website, http://nces.ed.gov/ipeds/datacenter/Default.aspx. . See Section IV.2, Content and Form of Application Submission for instructions on certification of eligibility.
The sponsoring institution must assure support for the proposed program. Appropriate institutional commitment to the program includes the provision of adequate staff, facilities, and educational resources that can contribute to the planned program.
Institutions with existing Ruth L. Kirschstein National Research Service Award (NRSA) institutional training grants (e.g., T32) or other Federally funded training programs may apply for a research education grant provided that the proposed educational experiences are distinct from those training programs receiving federal support. In many cases, it is anticipated that the proposed research education program will complement ongoing research training occurring at the applicant institution.
The PD/PI should be an established investigator in the scientific area in which the application is targeted and capable of providing both administrative and scientific leadership to the development and implementation of the proposed program. The PD/PI will be expected to monitor and assess the program and submit all documents and reports as required.
The PD/PI should have leadership standing in her/his institution to ensure that the students and faculty are better positioned to pursue further education and/or research in big data science and enhanced curriculum offerings in big data science will be incorporated in the institution's course offerings.
Applications may request up to $300,000 in direct costs each year.
The scope of the proposed project should determine the project period. The project period may not exceed 4 years.