Department of Health and Human Services, National Institutes of Health

BRAIN Initiative: Data Archives for the BRAIN Initiative

Who can apply

  • Private colleges and universities
  • Special district governments
  • Federally recognized tribal governments
  • City or township governments
  • Public and tribal housing authorities
  • Others (see eligibility details)
  • Tribal organizations
  • State governments
  • Small businesses
  • County governments
  • Independent school districts
  • Public and state-controlled colleges
  • Nonprofits without 501(c)(3) status
  • For-profit organizations (not small businesses)
  • Nonprofits with 501(c)(3) status

Other Eligible ApplicantsEligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations

About this grant

The National Institute of Mental Health (NIMH), with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications to develop web-accessible data archives to capture, store, and curate data related to the Brain Research Through Advancing Innovative Neurotechnologies® (BRAIN) Initiative activities. The data archives teams will work with the research community to incorporate software tools that enable users to analyze and visualize the data, and to use appropriate standards to describe the data. A goal of this program is to advance research by creating a data archive that meets appropriate standards and provides summary information which is broadly available and accessible to the scientific community furthering research. Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects. This NOFO will utilize the R24 activity code. Applications to this NOFO must propose the development of archives that support rigorous data sharing, analysis, and collaboration across sub-domains while enabling future linkage into a broader data ecosystem.

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