CaBIG
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| Developer(s) | NCI's Center for Biomedical Informatics and Information Technology (CBIIT), The Ohio State University Research Foundation, The University of Chicago - Argonne National Laboratory, SemanticBits LLC, Ekagra Software Technologies |
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| Type | Grid computing, Web service |
| License | BSD 3-Clause |
| Website | cagrid |
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| Developer(s) | NCI's Center for Biomedical Informatics and Information Technology (CBIIT), The Ohio State University Research Foundation, The University of Chicago - Argonne National Laboratory, SemanticBits LLC, Ekagra Software Technologies |
|---|---|
| Operating system | Cross-platform |
| Type | Grid computing, Web service |
| License | BSD 3-Clause |
| Website | cagrid |
The cancer Biomedical Informatics Grid (caBIG) was a US government program to develop an open source, open access information network called caGrid for secure data exchange on cancer research. The initiative was developed by the National Cancer Institute (part of the National Institutes of Health) and was maintained by the Center for Biomedical Informatics and Information Technology (CBIIT). In 2011 a report on caBIG raised significant questions about effectiveness and oversight, and its budget and scope were significantly trimmed. In May 2012, the National Cancer Informatics Program (NCIP) was created as caBIG's successor program.
The National Cancer Institute (NCI) of the United States funded the cancer Biomedical Informatics Grid (caBIG) initiative in spring 2004, headed by Kenneth Buetow. It goal was to connect US biomedical cancer researchers using technology known as grid computing. The program, led by the Center for Bioinformatics and Information Technology (CBIIT), began with a 3-year pilot phase. The pilot phase concluded in March 2007, and a trial was announced. Buetow promoted the program in 2008.
In addition to caGrid, the underlying infrastructure for data sharing among organizations, caBIG developed software tools, data sharing policies, and common standards and vocabularies to facilitate data sharing.
Software tools targeted:
caBIG sought to provide foundational technology for an approach to biomedicine it called a “learning healthcare system.” This relies on the rapid exchange of information between all sectors of research and care, so that researchers and clinicians are able to collaboratively review and accurately incorporate the latest findings into their work. The ultimate goal was to speed the biomedical research process. It was also promoted for what is often called Personalized Medicine. caBIG technology was used in adaptive clinical trials such as the Investigation of Serial studies to Predict Your Therapeutic Response with Imaging and molecular AnaLysis 2 (I-SPY2), which was designed to use biomarkers to determine the appropriate therapy for women with advanced breast cancer.
Health information technology (HIT) was promoted for management and secure exchange of medical information between researchers, health care providers, and consumers. HIT initiatives mentioning caBIG were: NCI and the American Society of Clinical Oncology initiated a collaboration to create an oncology-specific electronic health record system using caBIG standards for interoperability and that will enable oncologists to manage patient information in an electronic format that accurately captures the specific interventional issues unique to oncology. The Nationwide Health Information Network was an initiative to share patient clinical data across geographically disparate sources and create electronically linked national health information exchange. It might be somehow related.
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