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The Biomedical Informatics Research Network (BIRN) is a national initiative to assist biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools and techniques, and advisory services from a single source. The effort is funded by the National Institute of General Medical Sciences (NIGMS), a component of the United States National Institutes of Health (NIH). BIRN is designed to serve the biomedical research community’s data-intensive sharing and analysis needs, which are particularly evident in fields such as biomedical imaging and genetics. All data transfer is designed to be consistent with Health Insurance Portability and Accountability Act of 1996 (HIPAA) privacy and security guidelines BIRN's user-driven, software-based framework enables research teams to share significant quantities of data across geographic distance or incompatible computing systems. Participants may transfer data securely and privately. Groups may choose whether to share data with internal or external audiences. BIRN also offers documented best practices, expert advice, and data-sharing, query and analysis software tools specific to biomedical research. Its researchers develop new data-sharing tools, authorization capability, and engineering tools to help biomedical researchers make sense of information in new ways. BIRN is a collaborative effort between the NIGMS and a nationwide leadership consortium: the Information Sciences Institute (ISI) at the University of Southern California, the University of Chicago, Massachusetts General Hospital, the University of California at Irvine, and the University of California at Los Angeles. Its interdisciplinary team consists of computer scientists, engineers, physicians, biomedical researchers and other technical experts, including grid computing developers (Carl Kesselman ) of USC ISI, and Ian Foster of Argonne National Laboratories. Co-Principal Investigators are: * Carl Kesselman, Ph.D., a professor in the University of Southern California (USC) Daniel J. Epstein Department of Industrial and Systems Engineering, and a Fellow of the Information Sciences Institute (ISI), its highest honor; * Ian Foster, Ph.D., Director of the Computation Institute, a joint project between the University of Chicago and Argonne National Laboratory, and Associate Director of Argonne’s Mathematics and Computer Science Division; * Steven G. Potkin, M.D., a professor in the Department of Psychiatry and Human Behavior at the University of California at Irvine (UCI) and Director of UCI’s Brain Imaging Center; * Bruce R. Rosen, M.D., Ph.D., a professor of Radiology at Harvard Medical School and Health Sciences and Technology at the Harvard-MIT Division of Health Sciences and Technology, and Director of the Athinoula A. Martinos Center for Biomedical Imaging at the Massachusetts General Hospital in Boston, MA; * Jonathan C. Silverstein, M.D., Associate Director and senior fellow at the University of Chicago-Argonne National Laboratory Computation Institute, and an associate professor of Surgery, Radiology and Biological Sciences at UC; * Arthur Toga, Ph.D., a professor in the University of Southern California. ==Member tools== Users range from small research groups to large, national consortia such as the Nonhuman Primate Research Consortium (NHPRC) and the Cardiovascular Research Grid (CVRG), both funded by NIH. By using BIRN's capabilities both to access data and perform research, groups can conduct large-scale data analysis while maximizing their existing technical infrastructure and expertise. Users also can participate in BIRN Working Groups, which develop and support operations, data-sharing requirements, security and other key functions. BIRN offers a website, wiki and mailing lists to help users stay current on news, best practices and topics related directly to their data-sharing considerations. Its experts can help biomedical teams select software, data and metadata community standards; set up security mechanisms and sharing protocols; and create multi-institutional policies from a potentially overwhelming range of options. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Biomedical Informatics Research Network」の詳細全文を読む スポンサード リンク
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