Secondary Analysis of Existing Datasets in Heart, Lung, and Blood Diseases and Sleep Disorders (R21 Clinical Trial Not Allowed)
National Institutes of Health (NIH)
Up to $75,000 per year
Total project period not exceeding 2 years
To stimulate the use of existing human datasets for secondary analyses.
Focus on novel scientific ideas or new models, systems, tools, methods, or technologies that can significantly impact biomedical or biobehavioral research.
Researchers in heart, lung, blood diseases, and sleep disorders.
Institutions and organizations involved in biomedical research.
Eligible organization types include higher education institutions, nonprofits, for-profit organizations, small businesses, local and state governments, and federal agencies.
Foreign organizations and non-domestic components of U.S. organizations are also eligible.
Open to U.S. and foreign organizations.
Proposals must use existing human datasets for secondary analysis.
Projects must align with NHLBI's scientific mission.
Applications may request up to $75,000 in direct costs per year.
Proposals exceeding this budget will not be reviewed.
Application due date is January 7, 2026.
Projects must not exceed a total duration of 2 years.
Applicants may submit more than one application as long as each is scientifically distinct.
Dataset description attachment is required.
Applications must comply with the NIH Grants Policy Statement.
Applications will be evaluated based on significance, innovation, rigor, and feasibility.
Applications will undergo peer review and be evaluated for scientific and technical merit.
Relevance to NHLBI's mission and program priorities will be considered.
Only secondary analyses using existing datasets are allowed; no new primary data collection.
Applications lacking the required dataset attachment will be deemed incomplete.
Encourages collaboration with investigators holding datasets from various sources.
Focus on innovative methodologies may provide a competitive edge.
Clear alignment with NHLBI's mission and effective use of existing datasets.
Failing to include required documentation or exceeding budget limits.
Engage with dataset holders early in the proposal process.
Highlight innovative approaches and potential impact on health disparities.