Opportunity Information: Apply for RFA HG 14 005

  • The National Institutes of Health in the education environment food and nutrition health income security and social services sector is offering a public funding opportunity titled "Revisions to Add Biomedical Big Data Training to Active Institutional Training Grants (T32)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113 Environmental Health 93.121 Oral Diseases and Disorders Research 93.172 Human Genome Research 93.173 Research Related to Deafness and Communication Disorders 93.213 Research and Training in Complementary and Integrative Health 93.233 National Center on Sleep Disorders Research 93.242 Mental Health Research Grants 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.307 Minority Health and Health Disparities Research 93.310 Trans NIH Research Support 93.361 Nursing Research 93.398 Cancer Research Manpower 93.837 Cardiovascular Diseases Research 93.838 Lung Diseases Research 93.839 Blood Diseases and Resources Research 93.846 Arthritis, Musculoskeletal and Skin Diseases Research 93.847 Diabetes, Digestive, and Kidney Diseases Extramural Research 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.855 Allergy and Infectious Diseases Research 93.856 Microbiology and Infectious Diseases Research 93.865 Child Health and Human Development Extramural Research 93.866 Aging Research 93.867 Vision Research.
  • This funding opportunity was created on Apr 22, 2014 and posted on Apr 22, 2014.
  • Applicants must submit their applications by Jul 28, 2016. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2024.)
  • The funding agency has allocated a total of $6,000,000.00 to eligible and selected applicants.
  • The number of recipients for this funding is limited to 3 candidate(s).
  • Eligible applicants include: Private institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education Others (see text field entitled Additional Information on Eligibility for clarification) Native American tribal governments (Federally recognized).
  • Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Asian American Native American Pacific Islander Serving Institutions (AANAPISISs) Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Tribally Controlled Colleges and Universities (TCCUs) Only institutions with currently active T32 institutional training grants are eligible to apply for revisions (competitive supplements) for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences. 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. The applicant institution(s) must have a strong and high quality research program in biomedical Big Data Science that includes diverse and complex data types, such as genomic, other omic, imaging, phenotypic, exposure, etc., both in the basic and clinical sciences. The applicant institution(s) must have the requisite faculty and facilities to conduct the proposed institutional program. In many cases, it is anticipated that the proposed program will complement, but be distinct from, other ongoing research training programs occurring at the applicant institution. It is expected that a substantial number of program faculty will have active biomedical Big Data Science research projects involving a variety of data types in the basic and clinical sciences in which participating trainees may gain relevant experiences consistent with their research interests and goals.
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