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Revisions to Add Biomedical Big Data Training to Active NLM Institutional Training Grants in Biomedical Informatics (T15)
The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to active T15 institutional training grants 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 (see definition under Funding Opportunity Description).
This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.
approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences (see definition under Funding Opportunity Description).
This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.
Related ProgramsDepartment of Health and Human Services
Department of Health and Human Services
Department of Health and Human Services
Department of Health and Human Services
Department of Health and Human Services
Agency: Department of Health and Human Services
Office: National Institutes of Health
Estimated Funding: $6,000,000
Office: National Institutes of Health
Estimated Funding: $6,000,000
Who's Eligible
Relevant Nonprofit Program Categories
Obtain Full Opportunity Text:
http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html
Additional Information of Eligibility:
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 T15 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.
Full Opportunity Web Address:
http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html
Contact:
NIH OER WebmasterFBOWebmaster@OD.NIH.GOV
Agency Email Description:
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster
Agency Email:
FBOWebmaster@OD.NIH.GOV
Date Posted:
2014-04-22
Application Due Date:
2016-07-28
Archive Date:
2016-08-28
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