Time & Date

June 28, 2022 from 10:10-11:40 GMT+1 (1 hour, 30 mins)
Event webpage: https://www.humancellatlas.org/hcameetings

Location

Human Cell Atlas General Meeting
Vienna, Austria
(For virtual attendance, see https://www.humancellatlas.org/hcameetings)

Goals

The goal of the breakout session is to discuss challenges and propose solutions to the development and use of ontologies for FAIR sharing and integration of human cell atlas (HCA) data for atlas construction and usage (e.g., in the Human Reference Atlas).

Organizers

Portrait: Katy Börner

Katy Börner

Indiana University, USA
katy@indiana.edu

Portrait: David Osumi

David Osumi-Sutherland

EBI, UK
davidos@ebi.ac.uk

Key Speakers

Portrait: Evan Biederstedt

Evan Biederstedt

Harvard Medical School, USA

Portrait: Melissa Clarkson

Melissa Clarkson

University of Kentucky College of Medicine, USA

Portrait: Melissa Clarkson

Bruce W. Herr II

Indiana University, USA

Slides | Video

Portrait: Jason Hilton

Jason Hilton

Stanford University, USA

Portrait: Tony Burdett

Wei Kheng Teh

Archival Infrastructure and Technology, EBI, UK

Portrait: Angela Pisco

Angela Pisco

CZI BioHub, USA

Portrait: Fabian Theis

Fabian Theis

Helmholtz-Muenchen, Germany

Summary

Standardizing the way we annotate samples and analysis metadata but also anatomical structures, cell types, and biomarkers is a key component of making HCA data Findable, Accessible, Interoperable and Re-usable (FAIR) and ultimately to integrating it into coherent atlases such as the Human Reference Atlas (HRA). Ontologies, combined with standard annotation schemas, aid this process by providing standard terms for annotation and mechanisms for grouping terms in biologically meaningful ways, for example, grouping cell types by location or function. This session will discuss key challenges we face in achieving these aims and the opportunities that will be opened up by achieving them:

  1. How can we extend and improve ontologies as our knowledge grows leveraging expert input, experimental data and feedback from different atlasing efforts?
  2. How can we make ontology annotation easy, efficient, and accurate while leaving room for revising and adding to existing ontologies?
  3. How can we enable downstream users to take advantage of ontology structure and content in analysis, visualization and machine learning pipelines/applications?
  4. How can improved annotation with ontologies and the use of linked open data (LOD) help us to interlink atlas data and from multiple consortia and construct more integrated, coherent, and queryable atlases?

Agenda

Welcome and Introduction | June 28, 2022: 10.10 – 10.15 (GMT+1)

  • Introduction of Workshop Goals by Session Organizers

Flash Talks | June 28, 2022: 10.15 – 10.45 (GMT+1)

  • Six 5 minute flash talks on one of the challenges/opportunities, with participants talking about how their work can help &/or challenge they need, help solving

Breakout Introduction | June 28, 2022: 10.45 – 11.00 (GMT+1)

  • Each group must nominate a scribe and a chair. Breakout groups will fill out structured forms for use in report back

Breakouts | June 28, 2022: 11.00 – 11.40 (GMT+1)

  • Four breakouts, one on each of the four challenges/opportunities. Self assorting. Each group must nominate a scribe and a chair. Breakout groups will fill out structured form for use in report-back in the main session

Relevant Papers

Contact Us

Matthew Martindale
Cyberinfrastructure for Network Science (CNS) Center Assistant
Luddy School of Informatics, Computing, and Engineering,
Indiana University
812-855-9930
masmarti@iu.edu


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