reapxdev/zenodo-scraper huggingface dataset:
FAIRsharing behind the scenes: The FAIRness of FAIRsharing
Authors: Lister, Allyson, Gailani, Prakhyat, Granell, Ramon, Thurston, Milo
Type: Lesson
Published: 2026-07-27
Keywords: FAIRsharing, FAIRsharing Educational, FAIR

<p><strong>This factsheet shows how FAIRsharing implements technical standards and best practices to provide the interfaces, structured descriptions and documentation needed to ensure that its content and services are FAIR.</strong></p>
<p><a href="https://fairsharing.org/">FAIRsharing</a> is a curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies. It guides consumers to discover, select and use these resources with confidence, producers to make their resource more discoverable, more widely adopted and cited, and powers third party tools by providing trustworthy content to promote standards and databases. FAIRsharing structured knowledge supports a variety of applications, including resource recommendation and landscaping, FAIR assistance and assessment, policy analysis, scholarly publishing, and intelligent interfaces that provide conversational access to curated knowledge. </p>
<p>We recommend that you explore all of the <a href="https://fairsharing.org/educational">FAIRsharing Educational</a> series, created by the FAIRsharing Team and <a href="https://fairsharing.org/community_champions">Community Champions</a>.</p>
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<p><em>This work is embedded in the OSTrails project (European Union’s Horizon Europe framework programme under grant agreement No. 101130187). It was supported through the UKRI Horizon Europe Guarantee Programme (Project No. 10107027).</em></p>