cancer Biomedical Informatics Grid at Georgetown University

Publications and Current Research

Vision

The cancer Biomedical Informatics Grid vision is to develop or modify biomedical research tools like clinical trial management systems, tissue banks and pathology tools according to the need of every individual investigator and/or institution for accessibility, cost-effectiveness and consistency as well as development of a common standard. These tools will assist in providing a unifying architecture that will assist researchers in tapping into the comprehensive data and forming collaborations.

Research Focus

Georgetown is committed to caBIG's™ vision to provide a research infrastructure where all of the National Cancer Institute's (NCI) cancer centers will be linked together enabling the sharing of information tools. It is involved in designing the actual network, developing systems that manage drug trials and integrating cancer researchers in the community. These developments will facilitate the rapid dissemination of new discoveries within the community through the "grid" in real time and enable prompt and accurate treatment for patients.

Strategic Goals

The caBIG™ initiative at Georgetown aligns with key strategic goals and priorities of the US Department of Health and Human Services (HHS), the National Institutes of Health (NIH), the NCI and the NCI's Center for Bioinformatics (NCICB). The primary strategic goals are listed below:

  • Participation in a group of Cancer Centers that have varying needs and capabilities to form a common network or grid of shared data, applications and technologies
  • Development of new enabling tools and systems that could support multiple Cancer Centers
  • Regular usage of the network or grid to optimize its value in cancer research endeavors
  • Creation of an extensible infrastructure that will continue to be expanded and extended to members of the community
  • Development and modification of biomedical research tools to support cancer research efforts and to meet needs identified by the cancer research community, including standards-based and components-based clinical trial management systems, tissue banks and pathology tools, and integrative cancer research applications
  • Fostering common usage of vocabularies, common data elements and the formation of a unifying architecture for the caBIG™ community.
  • Processing biomedical research data according to agreed upon common standards to enable sharing of data in a manner that protects data privacy and security

A. Publications (papers)

From the NCICB:

B. Publications (presentations)

C. Additional Reading

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