FAIR

Even though CLARIN has been in existence for longer than the FAIR data principles themselves, it is clear that the core values of CLARIN – facilitating the reuse of language data and tools for research – align very closely with Findability, Accessibility, Interoperability and Reusability. CLARIN was a FAIR case ‘avant la lettre’.

How CLARIN Enables Data to Be...

Findable

Through the Virtual Collection Registry, enabling publication and sharing of digital bookmarks
Through the Virtual Language Observatory, a search portal for language data, based on harvested metadata
Through the (Federated) Content Search, allowing researchers to search multiple corpus search engines at once.

Accessible

Through the many CLARIN centres providing a (certified) repository – including support for persistent identifiers
Though the metadata provided by CLARIN centres
Through the federated login system, lowering the threshold to login when password-protected access is needed.

Interoperable

Through the Language Resource Switchboard, providing an easy way to discover which tools can process a language data set
Through rich vocabularies
Through explicit and well-documented ways of linking from metadata to (meta)data.

Reusable

Through clear recommendations on licenses
Through clear recommendations on formats and standards
Through active metadata curation and continuous metadata quality and link checks.

Learning More

FAIR & CLARIN: The Details

Jong, Franciska de, Bente Maegaard, Koenraad De Smedt, Darja Fišer & Dieter Van Uytvanck (2018): "CLARIN: Towards FAIR and Responsible Data Science Using Language Resources." In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018, 3259-3264. (BiBTeX)
CLARIN and the FAIR principles: presentation (video, 30 minutes)