Visualization Methods and Tools Development for Enhancing Cancer Moonshot Data (R33 Clinical Trial Not Allowed)

Archived

National Institutes of Health

Description

Through this Funding Opportunity Announcement (FOA), the National Cancer Institute (NCI) as a part of its Beau Biden Cancer Moonshot Initiative invites submission of applications requesting support for projects that will accelerate cancer research. Specifically, this FOA falls under a scientific priority designated by the Blue Ribbon Panel (BRP) as Recommendation J, the development of New Enabling Cancer Technologies. The purpose of this Funding Opportunity Announcement (FOA) is to stimulate the development of new cancer data visualization methods and tools that have the potential to make data aligned with the Cancer Moonshot more explorable and interpretable by the broader cancer research community. This FOA supports the development of new, full-featured data visualization tools for investigator-specified, Moonshot-aligned use cases that enable a broader community of users to explore and gain insights from data emerging from or aligned with one or more of the Cancer Moonshot areas.

Who can apply

  • 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)
  • Nonprofits with 501(c)(3) status (other than higher education)
  • Nonprofits without 501(c)(3) status (other than higher education)
  • Private institutions of higher education
  • For-profit organizations other than small businesses
  • Small businesses
  • Others

Contact

NIH OER Webmaster<br/>FBOWebmaster@OD.NIH.GOV
FBOWebmaster@OD.NIH.GOV

Key dates & funding
  • PostedAug 20, 2020
  • ClosesOct 30, 2020
  • Award ceiling$250,000
  • CFDA93.394, 93.396
Categories

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