OPEN CFDA 93.273 ↗ Competitive Grant Competitive ~100h typical effort

Accelerating the Pace of Substance Use Research Using Existing Data (R01 Clinical Trial Not Allowed)

🏛 National Institutes of Health (HHS-NIH11)

✓ Free, no account · Source: Grants.gov · Last verified Jul 15, 2026

⏰ Deadline
Dec 3, 2027 in 505 days
📍 Scope
National

Can you apply?

This grant is for researchers and research institutions seeking to accelerate substance use disorder research by leveraging existing datasets and secondary data sources. Eligible applicants typically include academic medical centers, research universities, nonprofit research organizations, and government research institutions. The R01 mechanism supports independent research projects that are NOT clinical trials. This program specifically encourages researchers to use existing data—whether from administrative databases, cohort studies, electronic health records, surveys, or other established datasets—to generate new insights into substance use disorders without conducting new interventional research. Applicants must have appropriate institutional infrastructure, Institutional Review Board (IRB) approval capacity, and access to existing datasets that meet data governance requirements. The scope is national; geographic restrictions are minimal for eligible research institutions.

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Program description

The purpose of this Notice of Opportunity Announcement (NOFO) is to invite applications proposing the innovative analysis of existing social science, behavioral, administrative, and neuroimaging data to study the etiology and epidemiology of drug using behaviors (defined as alcohol, tobacco, prescription and other drug) and related disorders, prevention of drug use and HIV, and health service utilization. This FOA encourages the analyses of public use and other extant community-based or clinical datasets to their full potential in order to increase our knowledge of etiology, trajectories of drug using behaviors and their consequences including morbidity and mortality, risk and resilience in the development of psychopathology, strategies to guide the development, testing, implementation, and delivery of high quality, effective and efficient services for the prevention and treatment of drug abuse and HIV.

Who can apply

Eligible applicants

How to apply

Application links

Required documents

  • SF-424 (R&R) - NIH application cover form
  • Project Narrative (research strategy) - typically 15 pages maximum
  • Specific Aims page - 1 page outlining research goals
  • Research Design and Methods section - detailing data sources, analysis plan, and statistical approaches
  • Budget narrative and itemized budget (Form 424H or equivalent)
  • Biographical sketches of key personnel (not to exceed 5 pages each)
  • Letters of data access and data use agreements for each dataset
  • IRB approval or IRB exemption letter
  • Institutional support letter confirming resources and IRB capacity
  • References and literature cited
  • Facilities and resources available to the research team

Program contact

Funding track record

Recent awards under CFDA 93.273 from the last 3 years — real organizations that won funding through this same program.

61
awards (3 yrs)
$1.1B
total funded
41
unique recipients
$17.8M
average award

Top 10 Largest Recent Awards

  1. $125,900,663
  2. $34,675,742
  3. $34,469,501
  4. $33,261,336
  5. $32,897,567
  6. $31,652,514
  7. $30,394,602
  8. $29,223,384
  9. $29,195,978
  10. $29,168,993

Top States by Funding

  • CA 15 awards $242.3M
  • NY 3 awards $162.6M
  • OR 7 awards $96.3M
  • NC 4 awards $67.1M
  • IN 3 awards $57.4M

Source: USAspending.gov — federal spending transparency. Data covers last 3 years.

Funding history

Annual funding for this program — Federal obligations (CFDA 93.273). How funding has trended year over year.

2024 $430,377,419
2025 $429,906,735
2026 est. $12,401,560

FAQ

Who can submit R01 applications under this program?

Academic institutions, research hospitals, medical centers, nonprofit research organizations, and certain government agencies with established research capacity and IRB infrastructure can apply. Individual researchers must be affiliated with an eligible institution.

What types of projects are NOT eligible?

Clinical trials, interventional studies, and prospective data collection are not permitted under this R01 variant. The focus is strictly on secondary analysis of existing datasets.

What kinds of existing data can I use?

Eligible data sources include administrative healthcare claims, EHR data, survey databases, cohort studies, genomic datasets, and other established research repositories. You must demonstrate appropriate data access agreements and IRB clearance.

How competitive is this funding mechanism?

NIH R01 grants are highly competitive. Success rates typically range from 10-20% depending on the institute and fiscal year. Strong preliminary data, clear innovation, and experienced research teams are essential.

What is the typical funding range?

R01 awards typically range from $150,000 to $500,000+ total costs per year, depending on project scope and institute guidelines. Budget justification must be detailed and specific to the project's data analysis and personnel needs.

💡 Tips for applicants

  • Clearly articulate how you will use secondary data to address a gap in substance use research; NIH reviewers want to understand the innovation and scientific merit of your approach, not just a repurposing of old data.
  • Demonstrate access to high-quality, well-documented datasets early in your application; include data use agreements, IRB letters, and evidence that the data are sufficient to answer your research questions.
  • Build a multidisciplinary team that combines substance use domain expertise, biostatistics, data science, and health informatics; this strengthens the perceived feasibility and impact.
  • Be specific about your analysis plan and statistical methods; vague or overly exploratory proposals score poorly. Pre-specify hypotheses and analytic strategies where possible.
  • Address data limitations and validity concerns head-on; discuss potential confounding, missing data, measurement error, and how you will handle these challenges to ensure robust findings.

⚠️ Common mistakes

Applications often fail because researchers propose exploratory "fishing expeditions" through datasets without clear a priori hypotheses or sufficient preliminary data to demonstrate scientific merit. Another frequent issue is inadequate detail on data access, governance, and IRB status—reviewers need proof that you have the legal and ethical right to use the proposed datasets. Many applications also underestimate the complexity of secondary data analysis or lack sufficient statistical and informatics expertise on the team, raising concerns about feasibility.

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