Cooperative Agreement for Long Term Data Collection on Antimicrobial Use in Animals (U01) Clinical Trial Not Allowed
🏛 Food and Drug Administration (HHS-FDA)
✓ Free, no account · Source: Grants.gov · Last verified Jul 15, 2026
Can you apply?
This grant is for long-term data collection research on antimicrobial use in animals, administered by the Food and Drug Administration. Eligible applicants typically include research institutions, universities, veterinary schools, animal health organizations, and other entities with demonstrated capacity to conduct longitudinal epidemiological studies on antimicrobial resistance in animal agriculture. The program supports observational data collection and monitoring but explicitly does not support clinical trials. Projects should focus on tracking antimicrobial use patterns across animal populations, generating evidence for FDA policy and public health initiatives. Geographic scope includes U.S.-based research entities with access to relevant animal populations or farm networks.
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Program description
FDA announces the availability of fiscal year (FY) 2024 funds to support one or more projects to 1) collect antimicrobial use data from diverse animal sectors, including domestic livestock, poultry, companion animals (dogs, cats, and horses), and minor species (e.g., fish, sheep, goats, etc.) and 2) contribute to the development of data collection frameworks, including providing data and expertise as resources and a public-private partnership frameworks are established.
This grant will support the continued advancement of FDA’s initiatives to support antimicrobial stewardship in veterinary settings. It will also support the National Action Plan objectives to engage the animal health community and relevant stakeholders to advance strategies intended to improve understanding of antimicrobial use and foster antimicrobial stewardship in animal agriculture.
Who can apply
Eligible applicants
How to apply
Application links
Required documents
- SF-424 Federal Application for Grants and Cooperative Agreements (and SF-424 Supplement if applicable)
- Project Narrative (research design, data collection methodology, surveillance plan)
- Budget and Budget Justification
- Biographical sketches of key personnel
- Letters of support or memoranda of understanding from partner veterinary facilities, farms, or agricultural organizations
- Organizational capacity and past performance documentation
- Data management and quality assurance plan
- Timeline and milestones for data collection
- Conflict of interest disclosures
Program contact
- 👤 Janelle Fundersburg Grants Management Specialist
- 📧 janelle.fundersburg@fda.hhs.gov
- 📞 301-798-2533
Funding track record
Recent awards under CFDA 93.103 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
-
$121,795,918
-
$76,105,626
-
$50,217,964
-
$47,940,304
-
$36,000,000
-
$35,573,997
-
$35,391,995
-
$30,732,300
-
$23,332,999
-
$21,347,288
Top States by Funding
- AZ 3 awards $131.4M
- MD 7 awards $108.7M
- CA 9 awards $106.5M
- VA 5 awards $96.6M
- PA 10 awards $77.4M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 93.103). How funding has trended year over year.
| 2016 | $170,482,435 | |
| 2017 est. | $208,900,832 | |
| 2018 | $173,077,408 | |
| 2019 | $198,507,896 | |
| 2020 | $212,448,590 | |
| 2021 | $218,918,739 | |
| 2022 est. | $255,910,458 | |
| 2023 est. | $246,894,600 |
FAQ
What types of research are excluded from this grant?
Clinical trials are explicitly not allowed. This program funds observational data collection, surveillance, and monitoring studies only.
Who can apply for this cooperative agreement?
Research institutions, universities, veterinary schools, government agencies, and nonprofit organizations with capacity to conduct large-scale, long-term epidemiological studies are typically eligible. Check specific eligibility requirements on the funding announcement.
What is the geographic scope of eligible projects?
Projects must be U.S.-based and involve data collection from American animal populations or agricultural facilities.
How long do projects typically run?
The "long-term" designation suggests multi-year funding is available, though specific award periods should be verified in the full announcement.
What will FDA be looking for in applications?
Strong evidence of feasibility to collect data over multiple years, access to animal populations or farm networks, methodology for standardized data collection, and demonstrated understanding of antimicrobial resistance surveillance needs.
💡 Tips for applicants
- Clearly articulate your access to animal populations, farms, or veterinary facilities needed for sustained data collection; lack of realistic access to subjects is a common barrier to success.
- Use the application to demonstrate that your organization has successfully managed long-term epidemiological studies or surveillance systems in the past, as FDA will assess capacity for sustained funding.
- Avoid proposing clinical trial components or experimental interventions; frame your project as pure observational surveillance to align with program guidelines.
- Build strong partnerships with veterinary clinics, feed mills, agricultural extension programs, or industry groups that can support multi-year data collection without requiring clinical protocols.
- Include a detailed data management and quality assurance plan, as FDA will scrutinize how you'll maintain data integrity and consistency across multiple years and potentially diverse data sources.
⚠️ Common mistakes
Applications often fail because they either propose clinical trial elements (explicitly prohibited), underestimate the logistical complexity of multi-year data collection across geographically dispersed sites, or fail to demonstrate realistic and sustained access to animal populations. Weak applications also lack detail on standardized methodology, quality control measures, or partnerships necessary to execute long-term surveillance at scale.
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