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SYNOPSIS: Open commons containing large amounts of public biomedical data from the research community have the potential to speed up the pace of medical research. We describe the development of a large-scale open source data commons for genomic and associated clinical data and some of our experiences with it. We also discuss some of the different public and private data partnerships that are emerging for sharing genomic data. Session details... |
BIO:
Robert Grossman is the Director of the Center for Data Intensive Science (CDIS) and a Core Faculty and Senior Fellow at the Institute for Genomics and Systems Biology and the Computation Institute at the University of Chicago. He is the Founder and a Partner of Open Data Group, which has been building predictive models over big data and fast data since 2002. He is also the Director of the Open Science Data Cloud, a petabyte-scale science cloud for managing, integrating, analyzing, and sharing large datasets in science, engineering, medicine, health care, and the environment that is operated by the not-for-profit Open Commons Consortium. Dr. Grossman holds a Ph.D. in Statistics from Princeton University. More information about him can be found at rgrossman.com.
SUMMARY:
Topic: Large Scale Data Commons for Genomic and Clinical Data and the Changing Landscape for Sharing Research Data
Speaker: Robert Grossman, MPh.D.
Date: Wednesday, November 4, 2015
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Password: $Peakerseries15
Meeting ID: https://cbiit.webex.com/cbiit/onstage/g.php?MTID=e68e29160013af947f9c8cc715eafa452
Event number: 730 044 684
Dial-In for Audio Only: 1-855-244-8681
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