Small Research Grants for Analyses of Data for the Gabriella Miller Kids First Data Resource (R03)

The summary for the Small Research Grants for Analyses of Data for the Gabriella Miller Kids First Data Resource (R03) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Institutes of Health, which is the U.S. government agency offering this grant.
Small Research Grants for Analyses of Data for the Gabriella Miller Kids First Data Resource (R03): The NIH Common Fund has established the Gabriella Miller Kids First Pediatric Research Program (Kids First) to develop a pediatric research data resource populated by genome sequence and phenotype data that will be of high value for the communities of investigators who study the genetics of childhood cancers and/or structural birth defects. The overall goal of the Gabriella Miller Kids First Pediatric Data Resource is to help researchers understand the underlying mechanisms of these conditions, leading to more refined diagnostic capabilities and ultimately more targeted therapies, as well as to develop an integrated pediatric research data resource by obtaining and aggregating genome sequence and phenotype data for as many relevant structural birth defects and pediatric cancer cohorts as possible and to advance research in this area through the broad sharing of these data with the research community. This FOA is intended to promote meritorious small research projects focused on the development and analyses of childhood cancer and/or structural birth defects datasets that are part of the Kids First Data Resource or could be included in the Kids First Data Resource. Development of statistical methodology appropriate for analyzing genome-wide data relevant to childhood cancer and/or structural birth defects may also be proposed.
Federal Grant Title: Small Research Grants for Analyses of Data for the Gabriella Miller Kids First Data Resource (R03)
Federal Agency Name: National Institutes of Health
Grant Categories: Other
Type of Opportunity: Discretionary
Funding Opportunity Number: PAR-16-348
Type of Funding: Information not provided
CFDA Numbers: 327058, 327057, 327079, 327053, 327054, 327055, 327056, 327061
CFDA Descriptions: Oral Diseases and Disorders Research; Alcohol Research Programs; Cancer Detection and Diagnosis Research; Cancer Treatment Research; Cancer Control; Extramural Research Programs in the Neurosciences and Neurological Disorders; Child Health and Human Development Extramural Research
Current Application Deadline: Sep 7, 2019
Original Application Deadline: Sep 7, 2019
Posted Date: Jun 29, 2016
Creation Date: Jun 29, 2016
Archive Date: Oct 8, 2019
Total Program Funding:
Maximum Federal Grant Award: $200,000
Minimum Federal Grant Award: none
Expected Number of Awards:
Cost Sharing or Matching: No
Applicants Eligible for this Grant
Information not provided
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); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.
Link to Full Grant Announcement
http://grants.nih.gov/grants/guide/pa-files/PAR-16-348.html
Grant Announcement Contact
NIH OER Webmaster [email protected]
If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

National Institutes of Health 301-496-3405