Data Commons Pilot Phase Consortium

As part of the DCPPC, the awardees will design innovative solutions that meet the needs of the computational, data, and scientific key capabilities of the NIH Data Commons Pilot Phase. These key capabilities include:

Guidelines and metrics for making data Findable, Accessible, Interoperable, and Reusable (FAIR)
An approach to Global Unique Identifiers (GUIDs)
Application Program Interfaces (APIs) based on open standards
Architecture independent of a specific cloud platform or provider
Workspaces to find and interact with data and associated tools
Research ethics, privacy, and security (including authentication and authorization)
Indexing and search functionality
Use cases that demonstrate how the NIH Data Commons Pilot could advance biomedical research
Coordination, training, and outreach

Along with NIH staff, contracting staff, and external program consultants, the following awardees will form the NIH Data Commons Pilot Phase Consortium (DCPPC).

Awards Made Under Research Opportunity AnData Stewards nouncement (ROA) RM-17-026

The following awards were made using a special type of funding mechanism called Other Transactions (OT). The OT mechanism gives NIH considerable flexibility in making and managing awards. This will be particularly important for the DCPPC to stay nimble as it approaches the complex task involved in the development of the NIH Data Commons Pilot Phase under the ever-changing conditions of data science and biomedical science.
Project Title	Awardees	Institution
University of Maryland NIH Data Commons Facilitation Center	Crabtree, Jonathan	University of Maryland
	Felix, Victor	University of Maryland
	Giglio, Michelle Gwinn	University of Maryland
	O'Connor, Timothy	University of Maryland
	Sansone, Susanna-Assunta	University of Oxford, Oxford e-Research Centre
	Schriml, Lynn	University of Maryland
	White, Owen	University of Maryland
Development and Implementation Plan for Community Supported FAIR Guidelines and Metrics	Dumontier, Michel	Maastricht University
	Ma'ayan, Avi	Icahn School of Medicine at Mount Sinai
	Klenk, Juergen	Deloitte Consulting LLP
	Sansone, Susanna-Assunta	University of Oxford, Oxford e-Research Centre
	Schurer, Stephan	University of Miami
Patient-centric information commons under FAIR principals (PIC-FAIR)	Avillach, Paul	Harvard Medical School
	Kohane, Isaac	Harvard Medical School
	Kreda, David	Harvard Medical School
	Manrai, Arjun K.	Harvard Medical School
	Patel, Chirag J.	Harvard Medical School
	Susan, Churchill	Harvard Medical School
	Versmee, Laura	Harvard Medical School
The Commons Alliance: A partnership to catalyze the creation of an NIH Data Commons	Grossman, Robert L.	University of Chicago
	Haussler, David	University of California, Santa Cruz
	O’Connor, Brian	University of California, Santa Cruz
	Paten, Benedict	University of California, Santa Cruz
	Philippakis, Anthony	Broad Institute
	Tang, Yajing (Phillis)	University of Chicago
	Yung, Christina	University of Chicago
A Commons Platform for Promoting Continuous FAIRness	Chard, Kyle	University of Chicago: Globus
	Foster, Ian	University of Chicago: Globus
	Kesselman, Carl	University of Southern California
	Madduri, Ravi	University of Chicago: Globus
Tools and workflows for mining genomic data on many clouds	Brown, C. Titus	University of California, Davis
Tools and workflows for mining genomic data on many clouds	Zaranek, Alexander Wait	Curoverse Innovations, Inc.
A collaboration for the NIH Data Commons	Ahalt, Stanley	Renaissance Computing Institute: RENCI
	Boyles, Rebecca	RTI International
	Castillo, Claris	Renaissance Computing Institute: RENCI
	Conway, Michael	Renaissance Computing Institute: RENCI
	Cox, Steven	Renaissance Computing Institute: RENCI
	Dumontier, Michel	Maastricht University
	Haendel, Melissa	Oregon Health Science University
	Mungall, Christopher	Lawrence Berkeley National Laboratory
	Oprea, Tudor	University of New Mexico Health Sciences Center
	Peter, Robinson	The Jackson Laboratory
FAIR data to drive CURES	Davis-Dusenbery, Brandi	Seven Bridges Genomics Inc
	Nielsen, Fiona	Repositive
	Pyarajan, Saiju	US Department of Veterans Affairs
	de Waard, Anita	Elsevier
CALIFORNIA: Cloud-agnostic Architecture to Locate Indexed FAIR objects and safely reuse them in new integrated analyses	Ohno-Machado, Lucila	University of California, San Diego
	Jiang, Xiaoqian	University of California, San Diego
	Sansone, Susanna-Assunta	University of Oxford, Oxford e-Research Centre
	Xu, Hua	University of Texas Health Science Center at Houston
Towards a FAIR Digital Ecosystem in the Cloud	Clark, Timothy	Harvard University
	Crosas, Mercè	Harvard University
	Fenner, Martin	DataCite

Data Stewards

The stewards for each of the following data sets received supplemental funding to existing grants to participate as members of the DCPPC. These data sets will serve as test cases to develop the capabilities of the NIH Data Commons Pilot Phase.
Data Set	Principal Investigator(s)	Institution(s)
Genotype Tissue Expression (GTEx)	Ardlie, Kristin	Broad Institute Inc.
Genotype Tissue Expression (GTEx)	Getz, Gad	Broad Institute Inc.
Alliance of Genome Resources (AGR)	Judith Blake	The Jackson Library
	Carol Bult	The Jackson Library
	J. Michael Cherry	Stanford University
	Suzanna Lewis	Lawrence Berkeley National Laboratory
	Mary Shimoyama	Medical College of Wisconsin
	Paul Thomas	University of Southern California
Trans-Omics for Precision Medicine (TOPMed)	Abecasis, Goncalo	University of Michigan
	Blackwell, Tom	University of Michigan
	Borecki, Ingrid	University of Washington
	Laurie, Catherine	University of Washington
	Psaty, Bruce	University of Washington
	Weir, Bruce	University of Washington

Learn more about each of the Test Case Data Sets

Cloud Service Providers

Researchers and staff from the NIH Data Commons Pilot Phase and the STRIDES initiative will work with cloud service providers (CSPs) to learn how to provide a sustainable cloud infrastructure to support NIH-derived data sets including the Data Commons Pilot Phase test case datasets.

Assessment and Logistical Support

The MITRE Corporation, operator of the HHS federally funded research and development center, will provide a broad range of support services for the NIH Data Commons Pilot Phase including the following:

Assessment services to analyze usage, costs, business models, and long-term data viability
Communications, coordination, training, and other logistical support

This contract is administered by the Center for Information Technology, and is a trans-NIH initiative funded by multiple Institutes, Centers, and Offices.

New Models of Data Stewardship (NMDS)

New Models of Data Stewardship (NMDS)