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Data Sharing & Dissemination

Data Sharing & Dissemination

Charter: This working group investigates best practices in data sharing and dissemination for Open Biomedical Data and provides resources to the GCs to help guide their data sharing and dissemination plans. Subjects discussed include definitions of Open Data in the context of biomedical data, best practices regarding the consent process for open biomedical data, tools to promote ethical dissemination of biomedical data, and ethical guidelines and codes of conduct. The working group aims to capture need assessments of all 4 GCs, support plans for data dissemination for the Open House and the data release, and publish best practice guidelines for sharing and disseminating open biomedical data for AI.

Leads: Yael Bensoussan and Lucila Ohno-Machado

Who We Are

Yael Bensoussan

Lead
University of South Florida

Lucila Ohno-Machado, MD, PhD

Contact Principal Investigator
Yale University

Aaron Lee

University of Washington

Jamie Toghranegar

University of South Florida

Camille Nebeker

University of California San Diego

Cecilia Lee

University of Washington

T. Y. Alvin Liu

Johns Hopkins University

Timothy Clark

University of Virginia

Chester Guan

University of Florida

Ben Shickel

University of Florida

Alex Bui, PhD

University of California Los Angeles

Melissa Haendel

University of Colorado Anschutz
Medical Campus

Prachee Jain

Stanford University

Alexandros Sigaras

Weill Cornell Medical College

Shannon K. McWeeney

Health & Science University

Corey Cox

University of Colorado Anschutz
Medical Campus

Tom Joseph Pollard

Massachusetts Institute of Technology

Vitaly Herasevic

Mayo Clinic

Kirk Roberts, PhD

UTHealth Houston

Julia Owen

University of Washington

Joseph Yracheta

Native Bio-Data Consortium

Sean E. Hanlon

National Cancer Institute

Bradley Malin, PhD

Vanderbilt

Monica Munoz Torres, PhD

University of Colorado Anschutz
Medical Campus

Hortense Gallois

Simon Fraser University

Sean E. Hanlon Sara Singer

Stanford University Cancer Institute

Tsung-ting Kuo

Yale University

Jean-Christophe Belisle-Pipon

Simon Fraser University

Milen Nikolov

Sage Bionetworks

Jillian Mohan

University of California, San Diego

LaKaija Johnson

Sage Bionetworks

Kyle Ellrott

OHSU

Blockchain Task Force

We aim at designing a decentralized, immutable, and transparent ledgering system for the metadata of digital assets (e.g., datasets, models, and results) generated during the biomedical Artificial Intelligence learning process within Bridge2AI’s scope. Specifically,  We plan to first understand the digital asset ledgering requirements of Bridge2AI Data Generation Projects (DGPs). Then, we will design and develop a prototype based on the DGPs’ requirements. Finally, we plan to work with DGPs to test and evaluate the feasibility and performance of the ledgering system. We anticipate the system can improve the tracking of Bridge2AI digital assets, as well as facilitating the accrediting of the digital assets.

The Task Force comprises of the following Bridge2AI Consortium Members

  • Brian Gow
    Massachusetts Institute of Technology