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Project description

The BioDiv-FAIR-Checker project aims to broaden the scope of the open source FAIR-Checker tool with domain-specific metrics, machine-actionable recommendations, and easy integration into research infrastructures, thereby transforming FAIR assessment from an aspiration into an operational reality owned by the community.

It will test biodiversity-specific assessments using datasets from ENA, DiSSCo, eLTER and GBIF. By providing actionable feedback to data providers, repository managers, and researchers, the project contributes to improving the quality, interoperability, and visibility of metadata across all areas of biodiversity research.

The expected outcomes of this project are:

– Biodiversity-specific FAIR assessment indicators and remediation advice;

– Pilot projects for genomic, ecological, and specimen datasets;

– Improving the interoperability and discoverability of datasets;

– Training workshops and TeSS resources to support adoption;

– Improved indexing in aggregators such as EOSC Search & Discovery and OpenAIRE.

ELIXIR-FR contributions:

  • Task T1. Specify minimal and recommended biodiversity metadata – Participant
  • Task T2. Implement biodiversity-speciTc FAIR assessment metrics – Task Lead
  • Task T3. Community engagement – Participant

Nodes involved: France, Allemagne, UK

News

January 20-22, 2026 – Kick off

The project kick-off meeting aligned objectives, scope, roles, and constraints, with a common framework covering community, technical, and training perspectives. Discussions also examined project commitments and working methods, then agreed on the v0 definition of “domain profiles” (core vs. extensions, rules vs. guidelines). Finally, a targeted community engagement strategy was defined, prioritizing the most relevant target communities and formats in order to maximize feedback and adoption.

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