Spring 2005 Internet2 Member Meeting

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The Biomedical Informatics Research Network: Success Factors in Establishing a National Grid for Biomedical Research

Time 05/03/05 01:15PM-02:30PM

Session Abstract

What is the BIRN?


The Biomedical Informatics Research Network (BIRN) is a National Institutes of Health (NIH) supported initiative that is establishing a distributed information technology infrastructure to enable fundamentally new capabilities in large-scale studies of human disorders, such as Parkinson's and Alzheimer's disease.

Currently the BIRN involves a national consortium of 19 universities and 26 research groups that participate in one or more of three test bed projects centered around brain imaging of human neurological disorders and associated animal models.

  • BIRN Coordinating Center: Provides the information technology infrastructure and overall support for the BIRN and its scientific test bed projects.
  • Morphometry BIRN: Examining neuroanatomical correlates of neuropsychiatric illnesses in such disorders as unipolar depression, mild Alzheimer's disease, and mild cognitive impairment.
  • Function BIRN: Studying regional brain dysfunctions related to the progression and treatment of schizophrenia utilizing functional neuroimaging and the application of recently developed multi-modal techniques.
  • Mouse BIRN: Studying animal models of disease using multi-modal and multi-scale imaging data to understand disorders such as schizophrenia and Parkinson's disease.

While the pioneering BIRN sites involved dedicated hardware, the system is rapidly evolving to be a leading model for a persistent, scalable architecture for distributed collaborations with application beyond neuroimaging. Access to these distributed resources (i.e. data, computation and visualization) is available from web interfaces and through high or low bandwidth network connections.
This session will focus on the critical factors for the success of the BIRN and the ability of others to build on these successes.While the pioneering BIRN sites involved dedicated hardware, the system is rapidly evolving to be a leading model for a persistent, scalable architecture for distributed collaborations with application beyond neuroimaging. Access to these distributed resources (i.e. data, computation and visualization) is available from web interfaces and through high or low bandwidth network connections.

This session will focus on the critical factors for the success of the BIRN and the ability of others to build on these successes.

Speakers

Speaker Mark Ellisman BIRN, University of California-San Diego

Speaker Jeff Grethe BIRN, University of California-San Diego

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