BRIDGE2AI

Standards, Practices, and Quality Assessment_

Charter: To capture community needs and aggregate standards requirements and specifications, coordinate the implementation of standards, and enable sharing and reuse. The WG will facilitate transparent benchmarking, quality control, standards compliance, and efficient dissemination of data and supporting artifacts by promoting and enabling open source and collaborative development of best practices and norms in adopting standards.

The Bridge2AI Standards, Practices, and Quality Assessment working group aims to develop best practices for data collection, deposition, quality assurance, query, dissemination, and integration across Bridge2AI Grand Challenges. We will ensure that the standards used across these projects: are as generalizable as possible in other biomedical and behavioral applications; produce reproducible, credible outputs useful to the wider scientific community; and are updated in an efficient and well-provenanced manner. To achieve this, we will:

  1. capture community needs and aggregate standards requirements and specifications, and
  2. coordinate implementation of standards and enable sharing and reuse.

Our approach will enable transparent benchmarking, quality control, standards compliance, and efficient dissemination of data and supporting artifacts by promoting and enabling open source and collaborative development of best practices and norms in the adoption of standards.

Development, refinement, evaluation, and dissemination of Bridge2AI community-driven standards. Continuous community engagement is required to define standards requirements (1). We plan to catalog standards, use cases, and validation rules (2); provide web applications to enable users to explore schemas and elements (3); enable modality-agnostic, extensible standards specification (4); deploy a Dashboard to evaluate use of, and compliance with standards (5); and develop protocols & tools for data transformation (6). Our Concierge services facilitate the users’ understanding of how to leverage, design, or incorporate resources; these include open, regular interactions with the wider Bridge2AI community through office hours, help desk activities, issue tracking systems, among other activities.

Who We Are

Monica Munoz Torres, PhD
Lead
University of Colorado Anschutz Medical Campus
Headshot for Chris Chute, PhD.
Chris Chute, PhD
Co-Lead
John Hopkins University
Headshot for Chris Mungall, PhD.
Chris Mungall, PhD
Co-Lead
Lawrence Berkeley National Laboratory
Headshot for Alex Wagner, PhD.
Alex Wagner, PhD
Co-Lead
Nationwide Children’s Hospital
Headshot for Melissa Haendel, PhD, FACMI.
Melissa Haendel, PhD, FACMI
Co-Lead
University of Colorado Anschutz
Medical Campus
Harry Caufield
Data Scientist
Lawrence Berkeley National Laboratory
Corey Cox
Programmer Analyst
University of Colorado Anschutz Medical Campus
Mialy DeFelice
Bioinformatics Engineer
Sage Bionetworks
Joseph Flack
Software Engineer
Johns Hopkins University
Davera Gabriel
Senior Research Terminologist
Johns Hopkins University
Wesley Goar
Bioinformatics Scientist
Nationwide Children’s Hospital
Nomi Harris
Project Manager
Lawrence Berkeley National Laboratory
Stephanie Hong
Senior Healthcare Informatics Analyst
Johns Hopkins University
Gianna Jordan
Research Software Engineer
Sage Bionetworks
Kori Kuzma
Software Developer
Nationwide Children’s Hospital
Milen Nikolov
Co-Investigator
Sage Bionetworks
Kathryn Stahl
Software Developer
Nationwide Children’s Hospital