D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)

Key Facts

Status: Forecasted

Posted date: December 16, 2024

Archive date: October 13, 2027

Close date: September 7, 2027

Opportunity ID: 357733

Opportunity number: PAS-25-236

Opportunity category: Discretionary

Agency name: National Institutes of Health

Agency code: HHS-NIH11

Award floor: $0

Award ceiling: $100,000

Cost sharing required: No

Funding Instrument Types
  • Grant
Category of Funding Activity
  • Education
  • Health
Eligible Applicants
  • City or township governments
  • County governments
  • For-profit organizations other than small businesses
  • Independent school districts
  • Native American tribal governments (Federally recognized)
  • Native American tribal organizations (other than Federally recognized tribal governments)
  • Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education
  • Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education
  • Others
  • Private institutions of higher education
  • Public and State controlled institutions of higher education
  • Public housing authorities/Indian housing authorities
  • Small businesses
  • Special district governments
  • State governments
Tools
Categories (use these for quoted searches)
  • agency_code:hhs_nih11
  • category_of_funding_activity:education
  • category_of_funding_activity:health
  • cost_sharing_or_matching_requirement:false
  • eligible_applicants:city_or_township_governments
  • eligible_applicants:county_governments
  • eligible_applicants:for_profit_organizations_other_than_small_businesses
  • eligible_applicants:independent_school_districts
  • eligible_applicants:native_american_tribal_governments_federally_recognized
  • eligible_applicants:native_american_tribal_organizations_other_than_federally_recognized_tribal_governments
  • eligible_applicants:nonprofits_having_a_501_c_3_status_with_the_irs_other_than_institutions_of_higher_education
  • eligible_applicants:nonprofits_that_do_not_have_a_501_c_3_status_with_the_irs_other_than_institutions_of_higher_education
  • eligible_applicants:others
  • eligible_applicants:private_institutions_of_higher_education
  • eligible_applicants:public_and_state_controlled_institutions_of_higher_education
  • eligible_applicants:public_housing_authoritiesindian_housing_authorities
  • eligible_applicants:small_businesses
  • eligible_applicants:special_district_governments
  • eligible_applicants:state_governments
  • funding_instrument_type:grant
  • opportunity_category:discretionary
  • status:forecasted
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.

D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)
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.
[Forecasted] D-START: Data Science Track Award for Research Transition (D/START) (R03-Clinical Trial Optional)
Forecasted
National Institutes of Health
Education
Health
Grant
State governments
County governments
City or township governments
Special district governments
Independent school districts
Public and State controlled institutions of higher education
Native American tribal governments (Federally recognized)
Public housing authorities/Indian housing authorities
Native American tribal organizations (other than Federally recognized tribal governments)
Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education
Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education
Private institutions of higher education
For-profit organizations other than small businesses
Small businesses
Others
2024-12-16