Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
ID: 356888Type: 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

Original Source

https://grants.gov/search-results-detail/356888

Additional Information

http://grants.nih.gov/grants/guide/pa-files/PAR-25-131.html
Timeline
    Description

    The National Institutes of Health (NIH) is offering a grant opportunity titled "Computational Approaches to Curation at Scale for Biomedical Research Assets" (R01 Clinical Trial Not Allowed) to enhance access to secure and complete biomedical datasets and computational models. The initiative aims to develop innovative computational methodologies that automate curation processes, addressing the increasing demand for curated, FAIR (Findable, Accessible, Interoperable, Reusable) biomedical data essential for data mining and knowledge discovery. Eligible applicants include various institutions such as higher education, nonprofits, and government entities, with a maximum project budget of $250,000 annually for up to four years. Applications are due by 5:00 PM local time, with the first submission window opening on December 27, 2024. For further inquiries, applicants can contact NIH Grants Information at grantsinfo@nih.gov.

    Point(s) of Contact
    grantsinfo@nih.gov
    Files
    Title
    Posted
    PAR-25-131.html
    The National Library of Medicine (NLM) is seeking applications for funding through the "Computational Approaches to Curation at Scale for Biomedical Research Assets" opportunity (FON: PAR-25-131). The goal is to enhance access to secure, complete biomedical datasets and models, crucial for data mining and knowledge discovery. The initiative emphasizes developing innovative computational methodologies to automate curation processes, thereby addressing the growing need for curated, FAIR (Findable, Accessible, Interoperable, Reusable) biomedical data. Key expectations include creating durable, scalable products that improve data management and accessibility and support reproducible research. Eligible applicants include higher education institutions, nonprofits, and government entities, with a project budget limited to $250,000 annually for a maximum of four years. Applications are due by 5:00 PM local time, with the first submission window opening on December 27, 2024. Emphasis is placed on providing clear descriptions of proposed methodologies, data provenance, use cases, and plans for accuracy and ethical considerations. Non-responsive projects focused on manual curation or non-biomedical data will not be considered. This funding opportunity aligns with the NLM Strategic Plan to foster open science practices and enhance biomedical research.
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