Further Resources
Where to go after the session.
Core resources
The communities
MAQC Society
The society behind MAQC 2026 — “Reproducibility is science. Science demands reproducibility.” · themaqc.org
- MAQC ML Working Group — the society’s machine learning working group, and the natural home for follow-up on this session
ELIXIR
The European life-sciences research infrastructure · elixir-europe.org
- AI Ecosystem Focus Group — the current home for this work, successor to the ML Focus Group since October 2025
- Machine Learning Focus Group — developed DOME and OSAI; ran 2019–2025
BioComputingUP, University of Padua
The group maintaining the DOME Registry and dome-schema · protein.bio.unipd.it
Related reading
- Interpretation of DOME for proteomics and metabolomics — PMC8981311
- Integrating ML standards in research dissemination — Edmunds SC, CODATA Data Science Journal (2026), 10.5334/dsj-2026-001
- DOME Registry research software story — RSQKit / EVERSE
- Adjacent standards — TRIPOD+AI, REFORMS, Bridge2AI, FAIR4ML, Croissant
Citing and reusing this tutorial
This site is licensed CC BY-SA 4.0 — reuse and adapt it freely for your own training, keeping the same licence.
Farrell, G. (2026). Publishing Reusable AI/ML Models in the Life Sciences (MAQC 2026 Technical Tutorial P06). Zenodo. https://doi.org/10.5281/zenodo.22900624
Please also cite the underlying works in References.
Contact
- DOME / OSAI / Copilot — contact@dome-ml.org
- This tutorial — open an issue
- Tutorial lead — Gavin Farrell, ORCID 0000-0001-5166-8551