Notice of Special Interest (NOSI): Availability of Administrative Supplements to Adapt/Repackage Visualization Methods for Enhancing Cancer Moonshot Data

Organization
NIH
Type
NIH
Application or LOI Due Date
11-03-2022
Number
NOT-CA-21-008
Comments
Applications will be accepted starting 12/2/20. Applications can be submitted on a rolling basis for possible funding in FY's 21, 22, and 23. This NOSI expires 11/3/22.
Brief Description

Through funds available from the Cancer Moonshot Initiative, and pursuant to the National Cancer Institute’s (NCI’s) interest in advancing data visualization tools and methods for cancer research, applications are invited, through PA-20-272 in conjunction with this Notice of Special Interest (NOSI), for one-year administrative supplements to support the adaptation and repackaging of existing broad-based visualization methods that have the potential to make Cancer Moonshot-aligned data more explorable and interpretable by the broader cancer research community.

Research Objectives

Cancer researchers use and generate large amounts of complex data. While effective data visualization is an important step for the analysis, interpretation, and communication of cancer research data, many existing visualization methods are inaccessible to cancer researchers or are otherwise difficult to use for cancer research. For instance, visualization methods are often contained within larger software packages that are not commonly used by cancer researchers. This NOSI will support requests from applicants with currently active NCI grants and cooperative agreements for administrative supplements to repackage existing data visualization software as modular, easily adoptable software packages and libraries that cancer researchers, informaticists, and data scientists can readily incorporate into their own cancer data analysis workflows and software tools. The existing software to be repackaged is not required to have been originally developed under the parent award, however the new availability and utility of the repackaged data visualization software method should enhance the goals of the parent award.