D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)
Posted by National Institutes of Health
Opportunity snapshot. This Grants.gov announcement — D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional) — is cataloged under number PAS-25-236 and tied to CFDA assistance listing 93.279, posted by National Institutes of Health. Grants.gov currently shows the opportunity as open, first posted on December 16, 2024. The funding category is Discretionary, delivered as a grant.
Award economics. The award range on file is Up to $100,000. The agency has projected $100,000 in total estimated funding for this announcement. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.
Deadline and action path. Applications close on September 7, 2027 — roughly 459 days from today. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully — federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed — it helps clarify scope and scoring priorities.
Award Range
Up to $100,000
Close Date
September 7, 2027
Posted
December 16, 2024
Est. Total Funding
$100,000
Instrument
Grant
Description
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.
Eligibility
00;01;02;04;05;06;07;08;11;12;13;20;22;23;25
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Drug Abuse Research Programs
National Institutes of Health
Agency Contact
NIH Grants Information<br/>grantsinfo@nih.gov
Key Dates
Frequently Asked Questions
What is this grant opportunity?
Is this opportunity still open?
How much funding is available?
How do I apply?
More from National Institutes of Health
Clinical Coordinating Center for Multi-Site Investigator-Initiated Clinical Trials (Collaborative UG3/UH3 Clinical Trial Required)
Single-Site Investigator-Initiated Clinical Trials (R61/R33 Clinical Trial Required)
Data Coordinating Center for Multi-Site Investigator-Initiated Clinical Trials (Collaborative U24 Clinical Trial Required)
Development of Collaborative Research Facilities or Research-Resource Facilities (C06 Clinical Trial Not Allowed)
Research Grants in Clinical Informatics (R01 Clinical Trial Optional)
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology — how this data is sourced, computed, and verified.
Related
| Publisher | Kiznis Studio |
| Sources | Public official public datasets |