Opportunity ID: 254153
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | RFA-HG-14-005 |
Funding Opportunity Title: | Revisions to Add Biomedical Big Data Training to Active Institutional Training Grants (T32) |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Grant |
Category of Funding Activity: | Education Environment Food and Nutrition Health Income Security and Social Services |
Category Explanation: | – |
Expected Number of Awards: | 3 |
Assistance Listings: | 93.113 — Environmental Health |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 1 |
Posted Date: | Apr 22, 2014 |
Last Updated Date: | – |
Original Closing Date for Applications: | Jul 28, 2016 |
Current Closing Date for Applications: | Jul 28, 2016 |
Archive Date: | Aug 28, 2016 |
Estimated Total Program Funding: | $6,000,000 |
Award Ceiling: | – |
Award Floor: | – |
Eligibility
Eligible Applicants: | Public and State controlled institutions of higher education Others (see text field entitled “Additional Information on Eligibility” for clarification) Native American tribal organizations (other than Federally recognized tribal governments) Private institutions of higher education Native American tribal governments (Federally recognized) |
Additional Information on 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 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. |
Additional Information
Agency Name: | National Institutes of Health |
Description: | The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to currently funded T32 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. |
Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-005.html |
Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
FBOWebmaster@OD.NIH.GOV Email:FBOWebmaster@OD.NIH.GOV |
Version History
Version | Modification Description | Updated Date |
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Related Documents
Packages
Agency Contact Information: | NIH OER Webmaster FBOWebmaster@OD.NIH.GOV Email: FBOWebmaster@OD.NIH.GOV |
Who Can Apply: | Organization Applicants |
Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
---|---|---|---|---|---|---|
FORMS-C | FORMS-C | PKG00195588 | Jun 28, 2014 | May 17, 2016 | View | |
FORMS-D | Use for due dates on or after May 25, 2016 | PKG00223533 | Jun 28, 2016 | Jul 28, 2016 | View |