D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)
Closed Posted
- Opportunity number
- PAS-25-236
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Applications due
- Award size
- Up to $100,000
Opportunity facts
- Assistance listings
- Funding instrument
- Grant
- Categories
-
- Education
- Health
- Eligible applicants
-
- Other
- Special District Governments
- 501(c)(3) Nonprofits
- County Governments
- Public or Indian Housing Auth.
- Higher Education Inst. (Private)
- Independent School Districts
- Tribal Governments (Federally Recognized)
- Small Businesses
- Higher Education Inst. (Public)
- For Profit Organizations
- Tribal Organizations (Not Federally Recognized)
- State Governments
- Non-501(c)(3) Nonprofits
- City/Township Governments
- Points of contact
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- NIH OER Webmaster grantsinfo@nih.gov
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The National Institutes of Health is soliciting applications for the Data Science Track Award for Research Transition (D/START), an R03 grant mechanism supporting addiction-related data science research with a July 29, 2026 application deadline. This funding instrument supports small-scale projects and clinical trials are optional.
Eligible applicants include higher education institutions (public and private), nonprofits (501(c)(3) and non-501(c)(3)), small businesses, tribal governments (federally recognized and not federally recognized), tribal organizations, state and local governments, special districts, and independent school districts. The program targets newly independent data scientists or established investigators incorporating novel data science methodologies into addiction research for the first time. Applicants must propose small-scale projects applying emerging data science methods to answer specific research questions or generate preliminary data for larger studies. The program encourages use of existing datasets, adherence to FAIR principles, and attention to ethical concerns in human subjects research where applicable.
Projects directly advance the 2022–2026 National Institute on Drug Abuse Strategic Plan's emphasis on data science as a cross-cutting research approach and align with NIDA's mission to develop knowledge and approaches for prevention, diagnosis, and treatment of drug use, misuse, addiction, and related health outcomes including HIV/AIDS. The funding opportunity is assigned to CFDA 93.279 (Drug Use and Addiction Research Programs) under the National Institute on Drug Abuse.
Funding decisions rest on scientific and technical merit, research feasibility, potential contribution to the national drug abuse problem, and relevance to NIDA priorities. The National Advisory Council on Drug Abuse must concur with scientific review recommendations before awards are made.
Synopsis
Data science is an important cross-cutting research approach in the 2022 - 2026 NIDA Strategic Plan and increasing the capacity of experts in addiction related data science is critical. The purpose of this Notice is to facilitate the entry of investigators to the area of addiction-related data science, including newly independent data scientists or established investigators seeking to incorporate novel and cutting-edge data science methodologies into their research programs for the first time. Through this opportunity, investigators will propose to apply emerging data science methods to answer critical questions requiring advanced data analytic strategies. Projects should be small in scale and answer specific research questions or provide preliminary data for a larger scale project. Applicants are encouraged to use existing datasets, follow FAIR principles, and, when applicable, attend to ethical concerns in the conduct of research involving human subjects. Ultimately, the aim is to expedite the development of robust research programs focused on the convergence of innovative data science techniques and addiction research, with initial projects serving as precursors for subsequent, more expansive research projects.
Files
| File | Type | Posted |
|---|---|---|
| PAS-25-236-Full-Announcement.html | HTML file |
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