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**
Lead
*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*

**Alex Bui, PhD**
*University of California Los Angeles*

**Melissa Haendel**
*University of Colorado Anschutz Medical Campus*

**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*

**Kirk Roberts, PhD**
*UTHealth Houston*

**Julia Owen**
*University* of Washington

**Joseph Yracheta**
*Native Bio-Data Consortium*

**Sean E. Hanlon**
*National Cancer Institute*

**Monica Munoz Torres, PhD**
*University of Colorado Anschutz Medical Campus*

**Hortense Gallois**
*Simon Fraser University*

**Jean-Christophe Belisle-Pipon**
*Simon Fraser University*

**Jillian Mohan**
*University of California, San Diego*

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

Lucila Ohno-Machado, MD, PhD
Yale University

Tsung-Ting Kuo, PhD
Yale University

Aaron Lee
University of Washington

Ben Cordier
Oregon Health & Science University

Eric Rosenthal
Massachusetts General Hospital

Andrew Williams
Tufts CTSI

Hari Trivedi
Emory University

Tom Joseph Pollard
Massachusetts Institute of Technology

Brian Gow
Massachusetts Institute of Technology

Alexandros Sigaras
Weill Cornell Medical College

Olivier Elemento
Weill Cornell Medical College

Satrajit Ghosh
Massachusetts Institute of Technology

Yael Bensoussan
University of South Florida

Wade Schulz
Yale University