Research on the systems biology of cardiovascular disease offers great potential to improve our understanding of the disease mechanism at multiple scales of biological organization, from genes to cells to tissues to the whole organ. It also can enhance our ability to discover new biological markers that can be used to diagnose disease risk for individuals, assess disease state, and identify risk groups. Efforts of cardiovascular researchers are, however, limited by the lack of infrastructure to support collaborative efforts, integrate multi-scale data obtained from cardiovascular research and clinical studies, and share analysis tools. This project creates an innovative resource, the
CardioVascular Research Grid (CVRG), to facilitate and promote research efforts that span multiple research groups and institutions. The CVRG will provide the cardiovascular research community an open-source, extensible software infrastructure enabling discovery, federation, and sharing of cardiovascular data and tools. It will also provide community access to novel tools for the discovery of biomarkers.
The CVRG is an inter-disciplinary, collaborative effort, bringing together biomedical and software systems researchers at Johns Hopkins University, Emory University, the Ohio State University, and University of California at San Diego. The Center for Comprehensive Informatics and the OSU BBiomedical Informatics Department (BMI) are leading the effort to build the core Grid middleware infrastructure to support CVRG functions (CVRG core infrastructure). The CVRG core infrastructure provides support for three inter-related functions: (1) integration of information from multi-scale biomedical data; (2) large-scale image data management and analysis; (3) easy and secure access to CVRG data and analytic resources. The design and implementation of this core middleware infrastructure leverages software systems developed by CCI researchers, the cancer Biomedical Informatics Grid caGrid infrastructure, and software infrastructure from the Biomedical Informatics Research Grid (BIRN).