NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)
ID: 357380Type: Posted
Overview

Buyer

National Institutes of Health (HHS-NIH11)

Award Range

$0 - $250K

Eligible Applicants

Others

Funding Category

Health

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes
Timeline
    Description

    The National Institutes of Health (NIH) is offering R01 grants through the National Library of Medicine (NLM) to support innovative research in biomedical informatics and data science. This funding opportunity aims to advance methodologies that leverage complex data to improve health outcomes, foster integrative healthcare practices, and develop novel analytical tools, particularly for electronic health records. The initiative emphasizes the implementation of FAIR (Findable, Accessible, Interoperable, Reusable) data principles and is open to a diverse range of eligible applicants, including higher education institutions, nonprofits, and tribal governments, with a total funding ceiling of $250,000. Interested applicants should note that the application deadline is January 7, 2026, and can find more information by contacting NIH Grants Information at grantsinfo@nih.gov or visiting the provided link for additional details.

    Point(s) of Contact
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    Title
    Posted
    The National Library of Medicine (NLM) is offering R01 grants aimed at advancing research in biomedical informatics and data science. This funding opportunity supports innovative methodologies that leverage complex data to enhance health outcomes, encourage integrative health care practices, and provide novel analytical approaches across biomedical domains. The primary goal is to train pre-doctoral and post-doctoral researchers, develop tools for the analysis of electronic health records, and stimulate innovative collaborations between small businesses and research institutions. The funding opportunity, effective from December 2024 with application deadlines extending into 2026, emphasizes the importance of research that implements FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Eligible applicants include higher education institutions, nonprofits, and recognized tribal governments, among others, focusing on scalable and reproducible research that addresses scientific gaps and advances human health. Successful proposals will be rigorously evaluated based on their significance, innovation, and feasibility, as well as the expertise and resources available to the research team. This initiative underscores NLM's commitment to supporting cutting-edge research that directly impacts public health and biomedical discoveries.
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