FAIRferm: FAIRifying microbiome–metabolome time-series data from food fermentation processes

FAIRferm improves metadata standards, interoperability and FAIR pipelines for microbiome–metabolome time-series datasets from plant-based food fermentation. Harmonisation across MGnify, MetaboLights and dbNP will enable cross-domain analysis and broader One Health applications. Selected fermentation datasets will be FAIRified and linked via BioSamples IDs, and new temporal analysis workflows will be added to the ELIXIR toolbox.

Predicted outcomes:

• Harmonised metadata standards for multi-omics time-series datasets
• FAIRified datasets submitted to ENA/MGnify and MetaboLights and linked via BioSamples
• FAIR-compliant pipelines for microbiome–metabolome temporal analysis
• Modular training resources and community uptake
• Integrated cross-platform resource via dbNP enabling dynamic analysis and reproducible research