Data Commons
Description
The goal of this project is to establish an NIH Data Commons, a shared virtual space where scientists can work with the digital objects of biomedical research such as data and analytical tools. The NIH Data Commons Pilot Phase Consortium (DCPPC) will test ways to store, access, and share biomedical data and associated tools in the cloud so that they are FAIR (Findable, Accessible, Interoperable and Reusable). In phase I, awardees are to design innovative solutions that meet the needs of one or more of the computational, data, and scientific key capabilities of the Data Commons. All awardees work collaboratively as a consortium toward achieving NIH’s comprehensive vision for a Data Commons. Each of the eight Key Capabilities (KCs) addresses specific challenges faced by scientists working with large-scale biomedical data. Each KC has unique objectives and deliverables in the form of stand-alone Minimum Viable Products (MVPs).
RENCI's Role
Stan Ahalt is the PI for Team Helium.
Team Members
Partners
- Broad Institute
- California Digital Library
- DataCite
- Deloitte Consulting
- Elsevier
- European Bioinformatics Institute
- Harvard Medical School
- Jackson Laboratory
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Maastricht University
- Massachusetts General Hospital
- Mount Sinai
- Oregon State University
- RTI International
- Seven Bridges Genomics, Inc.
- TOPMed Data Coordinating Center
- University of California Davis
- University of California Santa Cruz
- University of Chicago
- University of Illinois-Urbana Champaign
- University of Maryland
- University of Miami
- University of New Mexico
- University of Oxford
- University of Southern California
- University of Texas at Austin
- Vanderbilt University Medical Center
- Veterans Affairs Repositive