National Cancer Institute: caBIG

Resource:  National Cancer Institute – Cancer Biomedical Informatics Grid

caBIG™ stands for the cancer Biomedical Informatics Grid™. caBIG™ is an information network enabling all constituencies in the cancer community – researchers, physicians, and patients – to share data and knowledge.  The components of caBIG™ are widely applicable beyond cancer as well.

The mission of caBIG™ is to develop a truly collaborative information network that accelerates the discovery of new approaches for the detection, diagnosis, treatment, and prevention of cancer, ultimately improving patient outcomes.

The goals of caBIG™ are to:

  • Connect scientists and practitioners through a shareable and interoperable infrastructure
  • Develop standard rules and a common language to more easily share information
  • Build or adapt tools for collecting, analyzing, integrating, and disseminating information associated with cancer research and care.

Since its inception, caBIG™ has committed to the following cornerstones:

  • Federated: caBIG™ software and resources are widely distributed, interlinked, and available to everyone in the cancer research community, but institutions maintain local control over their own resources and data.
  • Open-development: caBIG™ tools and infrastructure are being developed through an open, participatory process. caBIG™ leverages existing resources whenever possible, rather than building new tools in every case.
  • Open-access:caBIG™ resources are freely obtainable by the cancer community to ensure broad data-sharing and collaboration.
  • Open-source: The caBIG™ source code is available to view, alter, and redistribute.

 

Learn concepts and terminology critical for working with caBIG™

Look up acronyms and unfamiliar terms

  • Visit the glossary: The Glossary of Acronyms and Terms has definitions for caBIG™ acronyms and common bioinformatics terms.
  • View definitions as you read:. Terms in the glossary are underlined with blue dots. Roll your mouse over the term and it’s definition will show. E.g., rest your mouse on this term – Domain Analysis Model
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