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Data Harmonization, Curation and Secondary Analysis of Existing Clinical Datasets (R61/R33 Clinical Trial Not Allowed)

HHS-NIH11

Status:

Active

January 31, 2023

Posted:

Deadline: 

March 14, 2024

Funding

Program:

Award Floor:

Ceiling:

Match Required?

No

Eligibility

All

States:

Entity Types:

State governments, County governments, City or township governments, Special district governments, Independent school districts, Public & State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities, Native American tribal organizations, Nonprofits (with 501(c)(3) status), Nonprofits (without 501(c)(3) status)

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; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.

Contact

Email:

Phone:

Source Type:

Federal

This FOA invites applications from multidisciplinary teams to perform secondary data analysis, using existing datasets from two or more multi-site clinical research projects, to address scientific and clinical hypotheses relevant to neurological disorders and conditions within the NINDS mission. In this phased funding mechanism, applications are required to systematically and comprehensively perform cross-project data harmonization and curation, assessed using Go/No-go data-quality metrics, prior to funding of the second phase of data analyses. Consistent with the FAIR (findable, accessible, interoperable and reusable) data principles, this funding opportunity expects open-source cataloging of the processes and tools used for harmonization, curation, and analysis, as well as controlled access to the curated datasets.

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