Atom Grants
Discover

    Network of the National Library of Medicine Coordinating Center (U24 Clinical Trial Optional)

    This grant funds a Coordinating Center to manage, evaluate, and support the National Library of Medicine’s network, promoting access to NIH health information and fostering partnerships across libraries and organizations.

    Overview
    Eligibility
    Sources (1)
    Similar Grants
    Researchers

    Funder: National Institutes of Health

    Due Dates (Anticipated): December 2026 (Full application deadline, projected)

    Funding Amounts: Up to $1,500,000 total; 1 award expected; duration and annual budget specifics not yet published.

    Summary: Supports a Coordinating Center to lead administration, evaluation, communication, and coordination for the Network of the National Library of Medicine.

    Key Information: This is a forecasted opportunity; details may change when the official NOFO is released.


    Description

    This opportunity supports the establishment and operation of the Coordinating Center for the Network of the National Library of Medicine (NNLM). The NNLM is a nationwide initiative led by the National Library of Medicine (NLM) to promote and support access to health information, professional development for librarians, and outreach through libraries and community organizations. The Coordinating Center (NCC) will be responsible for the administration, evaluation, communication, and overall coordination of the NNLM, working closely with Regional Medical Libraries and the Network Training Center. The NCC will design and implement network-wide systems for oversight, manage evaluation activities (including data collection, analysis, and reporting), and oversee both internal and public-facing communication platforms, such as the NNLM website. The NCC is expected to demonstrate strong competencies in network management, evaluation, and partnership-building with NIH and other organizations.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.