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Limited Competition for the Data Coordinating Center for Type 1 Diabetes TrialNet (UC4)

Post Date

January 13th 2012

Application Due Date

March 22nd 2012

Funding Opportunity Number

RFA-DK-12-503

CFDA Number(s)

93.847

Funding Instrument Type(s)

Cooperative Agreement

Funding Activity Categories

Food and Nutrition
Health

Eligibility Categories

State Governments
County Governments
City or Township Governments
Special District Governments
Independent School Districts
Public and State Controlled Institutions of Higher Education
Federally Recognized Native American Tribal Governments
Public Housing Authorities or Indian Housing Authorities
Non-Federally Recognized Native American Tribal Organizations
Non-Profits With 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Non-Profits Without 501 (c) (3) Status With The IRS (Except Higher Education Institutions)
Private Institutions of Higher Education
For-Profit Organizations (Except Small Businesses)
Small Businesses
Other

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.

Funding

  • Estimated Total Funding:

    $45000000

  • Award Range:

    $None - $None

Grant Description

This Funding Opportunity Announcement (FOA) invites one Research Project Cooperative Agreement application (UC4) from the Program Director/Principal Investigator of the Data Coordinating Center (DCC) that is currently managing this large, complex and effective network to: 1) Screen relatives of persons with type 1 diabetes; 2) Follow those found to be at-risk to better understand the pathophysiology associated with progression to disease, and 3) Conduct trials aimed at diabetes prevention in at-risk individuals and -cell preservation in those newly-diagnosed with type 1 diabetes. The DCC will: 1) Support transfer of TrialNet samples and data to the NIDDK repositories for storage and dispensation, and 2) Provide continued support for TrialNet activities upon completion of the TrialNet DCC contract.

Contact Information


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