Table 1
Overview of the solutions presented at the workshop.
| INITIATIVE | MAIN FAIR CHALLENGE | INTERVENTION POINT | APPROACH |
|---|---|---|---|
| Biodiversity PMC | Findability | Post-publication | Text-mines and indexes PMC supplementary files, enriched with mapped biomedical entities |
| Europe PMC | Findability, Accessibility | Post-publication | Deposits supplementary files in BioStudies (entry + DOI) and exposes text-mined entities via an Annotations API |
| DOME/GigaScience | Interoperability | Pre-publication (peer review) | Embeds DOME metadata capture and curation into the editorial workflow |
| SourceData | Interoperability, Reusability | Pre-publication (curation) | Curates figure source data into BioStudies; develops multimodal AI quality checks (mmQC) |
| GREI | Interoperability, Reusability | Repository level | Harmonises metadata and enables federated discovery across generalist repositories |
Table 2
Recommendations mapped to stakeholders and the three implementation barriers.
| STAKEHOLDER | TIMING (WHEN TO FAIR-IFY?) | GOVERNANCE (WHICH STANDARDS, WHO ENFORCES?) | INCENTIVES (WHO FUNDS/CREDITS?) |
|---|---|---|---|
| Authors | Deposit datasets at peer-review time, rather than after acceptance | Provide full metadata; publish under an open licence (CC-BY or CC0) | Institutional recognition for data deposition, as already exists for open access |
| Publishers | Incorporate FAIR standards into the peer review process (e.g. DOME) | Require structured metadata at submission (e.g. MIAPPE); provide curation support | Reduced article processing charges for well-deposited datasets |
| Repositories | Harmonise metadata via shared vocabularies (e.g. DCAT); expose machine-actionable, AI-ready formats (e.g. Croissant) | Credit curators and contributors (e.g. APICURON) | |
| Funders | Require FAIR compliance as a condition of funding; verify it by linking data management plans to the resulting deposits | Support compliance infrastructure (curation, platforms); track and credit data contributions, including at aggregate (institutional) level |