About ITCR


ITCR is a trans-NCI program supporting investigator-initiated, research-driven informatics technology development spanning all aspects of cancer research. All four NCI extramural divisions are participating in the program: Division of Cancer Biology (DCB), Division of Cancer Control and Population Science (DCCPS), Division of Cancer Prevention (DCP), Division of Cancer Treatment and Diagnosis (DCTD). The NCI Center for Biomedical Informatics and Information Technology (CBIIT) is coordinating program activities across the divisions.

Specific Goals of the Program

  1. Promote integration of informatics technology development with hypothesis-driven cancer research and translational/clinical investigations;
  2. Provide flexible, scalable, and sustainable support using multiple mechanisms matched to various needs and different stages of informatics technology development throughout the development lifecycle;
  3. Promote interdisciplinary collaboration and public-private partnership in technology development and distribution;
  4. Promote data sharing and development of informatics tools to enable data sharing;
  5. Promote technology dissemination and software reuse;
  6. Promote communication and interaction among development teams;
  7. Leverage NCI program expertise and resources across the Institute and bridge gaps of existing NCI grant portfolios in informatics.


The scope of the ITCR program is to serve informatics needs that span the cancer research continuum. Moreover, ITCR provides support for informatics resources across the development lifecycle, including the development of innovative methods and algorithms, early stage software development advanced stage software development, and sustainment of high-value resources on which the community has come to depend. Examples of relevant topics include but are not limited to:

  • experiment design and execution
  • data collection
  • data processing and analysis
  • data quality assessment
  • data integration
  • data presentation and visualization
  • text mining and natural language processing
  • data compression, storage, organization, transmission