D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)
This NIH (NIDA, R03) award helps investigators enter addiction-related data science, supporting small-scale projects that apply emerging data science methods or generate preliminary data for larger…
- Deadline
- Sep 7, 2027
- Posted
- Dec 16, 2024
- Award amount
- Up to $100,000
Don’t miss this deadline
We’ll email you before Sep 7, 2027 so you have time to apply.
In plain English
This NIH (NIDA, R03) award helps investigators enter addiction-related data science, supporting small-scale projects that apply emerging data science methods or generate preliminary data for larger studies, with a budget cap around $100,000. Eligible applicants are research organizations including universities, colleges, government and tribal entities, and faith- or community-based organizations; it is intended for investigators at research institutions, not individuals or general nonprofits. It encourages use of existing datasets and FAIR principles. Confirm program-specific eligibility in the full announcement.
AI-generated summary to help you decide quickly — verify the official eligibility rules before applying.
Who can apply
Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.
About this grant
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.
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