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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

BioComputingUP, University of Padua

The group maintaining the DOME Registry and dome-schema · protein.bio.unipd.it

  • Interpretation of DOME for proteomics and metabolomicsPMC8981311
  • Integrating ML standards in research dissemination — Edmunds SC, CODATA Data Science Journal (2026), 10.5334/dsj-2026-001
  • DOME Registry research software storyRSQKit / 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.

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