Large Scale Data Commons for Genomic and Clinical Data and the Changing Landscape for Sharing Research Data
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.
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 Mathematics from Princeton University. More information about him can be found at rgrossman.com
Presentation
Upcoming Events
- Cancer Research Data Commons and Other NCI Infrastructures in Support of Data ScienceSeptember 19, 2021AttentiveChrome: Deep Learning for Predicting Gene Expression from Histone ModificationsSeptember 22, 2021“Le Grand et Le Petit”: Splicing Factors SF3B1 and SUGP1 and Their Cancer Mutations Leading to Aberrant Acceptor UsageSeptember 22, 2021The Future of Clinical Trial Data Sharing.... The Art of The PossibleSeptember 23, 2021Genomic Data Commons Single Cell RNA-Seq SupportSeptember 27, 2021Virtual Workshop on Next-Generation Sequencing and Radiomics: Resource Requirements for Acceleration of Clinical Applications Including AISeptember 29, 2021 - September 30, 2021