Opportunity Information: Apply for RFA MH 25 110
The National Institutes of Health (NIH) is offering a discretionary grant opportunity titled "BRAIN Initiative: Data Archives for the BRAIN Initiative (R24 Clinical Trial Optional)" under Funding Opportunity Number RFA-MH-25-110. The purpose of this Notice of Funding Opportunity (NOFO) is to support the development of web-accessible data archives that can capture, store, and curate datasets generated through BRAIN Initiative activities. The central emphasis is on building durable, community-oriented infrastructure that makes BRAIN-related data broadly available, well described, and easy for researchers to access and reuse in order to accelerate neuroscience discovery.
A key goal of the program is to create community resource archives that do more than simply hold files. These archives are expected to curate data and provide appropriate standards-based descriptions and summary information so that outside researchers can understand what the data are, how they were generated, and how they can be responsibly analyzed. While the archives are expected to work with the research community and support the incorporation of tools that let users analyze and visualize the archived data, the NOFO is clear that building those analysis and visualization tools is not itself what NIH is funding here. In other words, applicants should focus on the archive: ingestion, curation, documentation, accessibility, and long-term usability, rather than proposing a full suite of new analytics or visualization software as the main deliverable.
Similarly, the program expects archives to use appropriate data standards to describe the datasets they host, improving interoperability and reuse across the BRAIN ecosystem. However, the NOFO also makes clear that creating new standards is outside the scope of this funding. The expectation is that awardees will adopt, implement, and operationalize suitable existing standards (or community-accepted approaches) to ensure the data are consistently described and broadly usable, rather than using the grant to invent new standards frameworks.
The funding instrument is an NIH grant using the R24 activity code, and the announcement notes "Clinical Trial Optional," meaning applications may include clinical trial elements if relevant, but clinical trials are not required. The overall activity category is listed as Education, Health, Income Security and Social Services, and the program is associated with multiple CFDA numbers, including 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865, 93.866, and 93.867, reflecting NIH’s cross-institute footprint for BRAIN-related research and infrastructure investments.
Eligibility is broad and includes a wide range of domestic applicant types such as state, county, city or township governments, special district governments, independent school districts, and public housing authorities/Indian housing authorities. Higher education institutions are eligible, including public/state-controlled and private institutions. Tribal eligibility includes federally recognized Native American tribal governments and other Native American tribal organizations that are not federally recognized. The NOFO also allows applications from nonprofits with or without 501(c)(3) status (as long as they are not institutions of higher education), for-profit organizations (other than small businesses), and small businesses. In addition, NIH explicitly highlights other eligible applicants such as Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs). Faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and non-domestic (non-U.S.) entities (foreign organizations) are also listed as eligible, underscoring NIH’s intent to support archives that can serve a broad and diverse research community.
The opportunity was created on 2024-03-19, with an original closing date of 2026-06-24. The provided source information does not specify an award ceiling or the expected number of awards, which usually means applicants should consult the full NOFO text for budget expectations, project period details, review criteria, and any program-specific requirements around governance, data access policies, cybersecurity, sustainability planning, and coordination with existing BRAIN data ecosystem resources.
In practical terms, a competitive application would be expected to describe how the proposed archive will accept and manage incoming BRAIN Initiative datasets, how it will curate and document them using appropriate standards, how it will make them discoverable and accessible on the web, and how it will coordinate with the broader research community to ensure the archive remains useful and aligned with community needs. The end result NIH is aiming for is a reliable, widely accessible data archive that lowers barriers to data sharing and reuse, helping researchers build on prior BRAIN-funded work and speeding up progress in understanding the brain.Apply for RFA MH 25 110
- The National Institutes of Health in the education, health, income security and social services sector is offering a public funding opportunity titled "BRAIN Initiative: Data Archives for the BRAIN Initiative (R24 Clinical Trial Optional)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865, 93.866, 93.867.
- This funding opportunity was created on 2024-03-19.
- Applicants must submit their applications by 2026-06-24. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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Frequently Asked Questions (FAQs)
What is this funding opportunity?
This is a National Institutes of Health (NIH) discretionary grant opportunity titled "BRAIN Initiative: Data Archives for the BRAIN Initiative (R24 Clinical Trial Optional)" under Funding Opportunity Number RFA-MH-25-110.
What is the main purpose of the grant?
The purpose is to support the development of web-accessible data archives that can capture, store, and curate datasets generated through BRAIN Initiative activities. The emphasis is on building durable, community-oriented infrastructure that makes BRAIN-related data broadly available, well described, and easy to access and reuse to accelerate neuroscience discovery.
What kinds of projects is NIH trying to fund through this NOFO?
NIH is looking for projects that build and operate community resource data archives. These archives should go beyond simply storing files by curating datasets, applying standards-based descriptions, and providing summary information so outside researchers can understand what the data are, how they were generated, and how they can be analyzed responsibly.
What does NIH mean by "data archive" in this program?
In this program, a data archive is expected to be a web-accessible community resource that supports data ingestion, storage, curation, documentation, and long-term usability. The archive should make datasets discoverable and accessible and provide sufficient context and standardized descriptions to enable reuse by researchers who were not involved in generating the data.
Is the focus on building analysis and visualization tools?
No. While the archive is expected to work with the research community and support incorporation of tools that allow users to analyze and visualize archived data, the NOFO is clear that NIH is not funding the development of analysis and visualization tools as the main deliverable. Applications should focus primarily on the archive itself (ingestion, curation, documentation, accessibility, and long-term usability).
Are applicants expected to curate the data, or can they just host files?
Applicants are expected to curate the data. NIH is specifically aiming for archives that provide appropriate standards-based descriptions and summary information so that external researchers can understand and responsibly reuse the data, rather than a basic file repository.
Are data standards required for the archive?
Yes, archives are expected to use appropriate data standards to describe the datasets they host, with the goal of improving interoperability and reuse across the BRAIN ecosystem.
Can this grant be used to create new data standards?
No. Creating new standards is stated to be outside the scope of this funding. The expectation is that awardees will adopt, implement, and operationalize suitable existing standards or community-accepted approaches.
What is the grant mechanism and activity code?
The funding instrument is an NIH grant using the R24 activity code.
What does "Clinical Trial Optional" mean for this opportunity?
"Clinical Trial Optional" means an application may include clinical trial elements if they are relevant to the proposed work, but clinical trials are not required.
Who is eligible to apply?
Eligibility is broad. Eligible applicants include many domestic organization types and also non-domestic (non-U.S.) entities (foreign organizations), as listed in the NOFO information provided.
Are government entities eligible to apply?
Yes. Eligible government applicants include state governments, county governments, city or township governments, special district governments, independent school districts, and public housing authorities/Indian housing authorities.
Are colleges and universities eligible?
Yes. Higher education institutions are eligible, including public/state-controlled institutions and private institutions.
Are Tribal entities eligible?
Yes. Eligibility includes federally recognized Native American tribal governments and other Native American tribal organizations that are not federally recognized.
Are nonprofits eligible?
Yes. Nonprofits with or without 501(c)(3) status are eligible as long as they are not institutions of higher education.
Are for-profit organizations eligible?
Yes. For-profit organizations (other than small businesses) are eligible, and small businesses are also explicitly listed as eligible.
Are minority-serving institutions specifically encouraged or eligible?
Yes. The NOFO information explicitly highlights eligibility for Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving Institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs).
Are faith-based or community-based organizations eligible?
Yes. Faith-based or community-based organizations are listed as eligible applicants.
Are federal agencies eligible to apply?
Yes. Eligible federal agencies are listed among eligible applicant types.
Are U.S. territories or possessions eligible?
Yes. U.S. territories or possessions are listed as eligible applicants.
Are foreign (non-U.S.) organizations eligible?
Yes. Non-domestic (non-U.S.) entities (foreign organizations) are listed as eligible.
What types of datasets should the archive support?
The archive should be able to capture, store, and curate datasets generated through BRAIN Initiative activities, and make them broadly available and reusable by the research community.
What are the expected characteristics of a competitive application?
Based on the provided information, a competitive application would explain: (1) how the archive will accept and manage incoming BRAIN datasets, (2) how it will curate and document them using appropriate standards, (3) how the data will be made discoverable and accessible on the web, and (4) how the team will coordinate with the broader research community to keep the archive useful and aligned with community needs.
What is the overarching outcome NIH is aiming for?
NIH is aiming for a reliable, widely accessible data archive that lowers barriers to data sharing and reuse, helps researchers build on prior BRAIN-funded work, and speeds progress in understanding the brain.
When was this opportunity created?
The opportunity was created on 2024-03-19.
What is the application deadline listed in the provided information?
The original closing date listed is 2026-06-24.
Is there an award ceiling or expected number of awards stated here?
No. The provided source information does not specify an award ceiling or the expected number of awards. Applicants would typically need to consult the full NOFO for budget expectations, project period details, and other program-specific requirements.
What program areas or categories is this opportunity associated with?
The overall activity category is listed as Education, Health, Income Security and Social Services.
Which CFDA numbers are associated with this opportunity?
The program is associated with multiple CFDA numbers: 93.173, 93.213, 93.242, 93.273, 93.279, 93.286, 93.853, 93.865, 93.866, and 93.867.
What should applicants consult the full NOFO for?
Because the provided summary does not include budget expectations, award ceiling, expected number of awards, or detailed requirements, applicants should consult the full NOFO text for items such as budget guidance, project period details, review criteria, and any program-specific expectations around governance, data access policies, cybersecurity, sustainability planning, and coordination with existing BRAIN data ecosystem resources.
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