The NIA Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS)
🏛 National Institutes of Health (HHS-NIH11)
✓ Free, no account · Source: Grants.gov · Last verified Jul 16, 2026
Can you apply?
This grant is for academic and research institutions developing cloud-based infrastructure for Alzheimer's disease genetic data. Eligible applicants typically include universities, research centers, and technology organizations with expertise in data management, bioinformatics, and cloud computing. The project must support secure, scalable archiving and analysis of large-scale genetic datasets. Applicants must demonstrate capacity to ensure federal compliance, provide user support, and interoperate with NIH repositories.
The grant supports infrastructure development and ongoing operation of the NIAGADS platform. The project emphasizes data democratization, multi-ancestry dataset accessibility, and secure cloud workspaces. Strong collaboration with the AD/ADRD research community is essential.
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Key dates
- May 18, 2026 Applications open
- Nov 1, 2026 Application deadline in 107 days
- Jul 31, 2027 Award announced
- Jul 31, 2027 Project start
Program description
The National Institute on Aging (NIA) intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications to develop, operate, and sustain a cloud-based data storage and computing platform that democratizes access to large-scale Alzheimer’s disease (AD) and AD-related dementias (ADRD) genetic and genomic data. The platform must be secure, scalable, and interoperable. The platform will support the NIA Genetics of Alzheimer’s Disease Data Storage Site (NIAGADS), the primary NIA-supported repository for the archiving and distribution of human genetic data related to AD/ADRD. The purpose of the platform will be to:
- Enable efficient ingestion, curation, harmonization, and analysis of multi-ancestry, large population-scale datasets;
- Provide robust analysis, visualization, and artificial intelligence -ready resources within secure cloud workspaces;
- Ensure compliance with federal security and data-sharing policies;
- Promote interoperability with other NIH- and NIA-supported repositories; and
- Provide user support, training, and community engagement.
The NOFO aims to foster collaboration, accelerate discovery, and maximize the scientific value and impact of AD/ADRD genetics research for the broader research community.
By improving data accessibility, interoperability, reporting, reproducibility, and scalable computational systems that enable rigorous, reproducible, and transparent research, the NOFO seeks to align with the NIH’s plan for Gold Standard Science and the AD/ADRD Research Implementation Milestones. Additionally, the NOFO seeks to address the Academies of Sciences, Engineering, and Medicine’s recommendation of ensuring broad, secure access to high-value datasets and enhancing data usability to maximize the return on research investments and support future discoveries in AD/ADRD. Moreover, the NOFO intends to directly advance NIA’s Strategic Directions, particularly Goal G to support the infrastructure and resources necessary for high-quality research, by strengthening data sharing, computational infrastructure, and research rigor across the AD/ADRD community.
The NOFO intends to utilize the U24 activity code.
Applications are not being solicited at this time. This notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- SF-424 (OMB standard application form)
- Project Narrative/Technical Approach
- Budget and Budget Justification
- Biographical Sketches (key personnel)
- Letters of Support/Collaboration
- Data Management and Sharing Plan
- Security and Compliance Plan
- Organizational Capacity Statement
Program contact
- 👤 NIA Scientific Contact
- 📧 NIA-NOFO-Scientific@nih.gov
- 📞 Please contact via e-mail.
Funding track record
Recent awards under CFDA 93.866 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$463,372,200
-
$172,327,224
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$115,145,694
-
$99,649,073
-
$93,275,174
-
$82,572,681
-
$81,344,612
-
$78,657,309
-
$75,825,492
-
$75,398,895
Top States by Funding
- CA 10 awards $633.7M
- MI 2 awards $511.9M
- MO 8 awards $453.5M
- IN 4 awards $303.9M
- PA 6 awards $298.0M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 93.866). How funding has trended year over year.
| 2024 | $3,746,886,731 | |
| 2025 | $3,777,464,644 | |
| 2026 est. | $261,814,471 |
FAQ
Who can apply for this grant?
Academic institutions, research centers, and organizations with expertise in data management and cloud infrastructure can apply. You must have capacity to build and operate a secure, scalable platform.
What is the deadline?
The fixed deadline is November 1, 2026. This is a planned NOFO; applications are not yet being solicited.
What activities does this grant support?
Development, operation, and sustainability of cloud-based data storage and computing infrastructure for Alzheimer's disease genetic research. This includes data curation, analysis tools, user support, and community engagement.
Is this grant competitive?
Yes. This is a highly technical grant requiring expertise in bioinformatics, cloud computing, security compliance, and data interoperability. Strong preliminary data and partnerships strengthen competitiveness.
What is the funding range?
Award amounts are not yet specified in the NOFO announcement. Contact NIA for guidance on typical award ranges for U24 data infrastructure grants.
💡 Tips for applicants
- Start building partnerships now with AD/ADRD researchers, other data repositories, and cloud service providers. This grant requires strong collaborations.
- Document your team's expertise in cloud infrastructure, bioinformatics, security compliance, and data governance. Demonstrate prior success managing large datasets.
- Address scalability and interoperability early. Show how your platform will connect with existing NIH repositories and support multi-ancestry datasets.
- Plan for long-term sustainability. Address funding strategy beyond the initial award and user support models.
- Review NIH's Gold Standard Science and NIA's Strategic Directions. Align your platform design with federal data-sharing policies and open science principles.
⚠️ Common mistakes
Underestimating data security and compliance requirements. Federal datasets require rigorous security protocols and HIPAA/FISMA alignment.
Proposing isolated infrastructure without demonstrating interoperability with other NIH repositories and the broader research ecosystem.
Lack of experienced bioinformatics and cloud computing personnel. This is a highly technical infrastructure grant requiring advanced expertise.
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