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First published December 20, 2007 as JAMIA PrePrint; doi:10.1197/jamia.M2522
Journal of the American Medical Informatics Association 2008;15(2):138-149
© 2008 American Medical Informatics Association


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Submitted on May 30, 2007
Accepted on December 7, 2007

caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research

Scott Oster MS1, Stephen Langella MS1, Shannon Hastings MS1, David Ervin1, Ravi Madduri MS2, Joshua Phillips3, Tashin Kurc PhD1*, Frank Siebenlist PhD2, Peter Covitz PhD4, Krishnakant Shanbhag MS4, Ian Foster PhD2, and Joel Saltz PhD1

Affiliation of the authors: 1 Department of Biomedical Informatics, The Ohio State University, Columbus, OH ; 2 Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL ; 3 SemanticBits, Reston, VA; 4 National Cancer Institute Center for Bioinformatics, Rockville, MD

* To whom correspondence should be addressed.

Objective To develop software infrastructure that will provide support for discovery, characterization, integrated access, and management of diverse and disparate collections of information sources, analysis methods, and applications in biomedical research.

Design An enterprise Grid software infrastructure, called caGrid version 1.0 (caGrid 1.0), has been developed as the core Grid architecture of the NCI-sponsored cancer Biomedical Informatics Grid (caBIGTM) program. It is designed to support a wide range of use cases in basic, translational, and clinical research, including 1) discovery, 2) integrated and large-scale data analysis, and 3) coordinated study.

Measurements caGrid is built as a Grid software infrastructure and leverages Grid computing technologies and the Web Services Resource Framework standards. It provides a set of core services, toolkits for the development and deployment of new community provided services, and application programming interfaces for building client applications.

Results caGrid 1.0 was released to the caBIG community in December 2006. It is built on open source components and caGrid source code is publicly and freely available under a liberal open source license. The core software, associated tools, and documentation can be downloaded from the following URL: https://cabig.nci.nih.gov/workspaces/Architecture/caGrid.

Conclusions While caGrid 1.0 is designed to address use cases in cancer research, the requirements associated with discovery, analysis and integration of large scale data, and coordinated studies are common in other biomedical fields. In this respect, caGrid 1.0 is the realization of a framework that can benefit the entire biomedical community.




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