To be findable, accessible, interoperable and reusable: language data and technology infrastructure for supporting the FAIR data approach

In this paper the FAIR principles are summarized, with a focus on (meta)data management infrastructure as the conduit for developing these principles in practice. The paper serves as an overview of the European Open Science Cloud in supporting the FAIR data approach in general, and as an overview of the Lithuanian practice in supporting the sharing, use and sustainability of language resources specifically: the CLARIN infrastructure as a networked federation of repositories and service providers is presented, Lithuanian experience in developing national language resources infrastructure is detailed, and the practical benefits that Lithuania gained with joining the European infrastructure are reviewed