The ability to produce effective software tools for data analysis and clinical decision support is limited by the availability of the appropriate test datasets in reliable public databases. Effective datasets will require databases designed with shared data models and transparent interoperable data management. The goal of this session is to identify and assess the current status of available databases, to examine their underlying data models, and to define short and long term recommendations for the development of well-designed and interoperable data or database management systems.

Moderator:	Maryellen Giger, Ph.D. University of Chicago
Panelists:	David Brown, Ph.D. U.S. Food and Drug Administration Peter A. Covitz, Ph.D. National Cancer Institute, NIH Ary Goldberger, M.D. Harvard Medical School Ron Kikinis, M.D. Brigham & Women's Hospital Geoffrey McLennan, Ph.D. University of Iowa Thomas Wittenberg, Ph.D. Institute of Medical Statistics and Epidemiology
Plenary Speaker Representatives:	Isaac Kohane, M.D., Ph.D. Children's Hospital, Boston Michael Hehenberger, Ph.D., Dr.Sc. IBM Life Sciences
NIH Coordinators:	Mike Ackerman, Ph.D. National Library of Medicine Peter Good, Ph.D. National Human Genome Research Institute Mervi Heiskanen, Ph.D. National Cancer Institute