Towards FAIR metadata for specialised corpora: a community-informed empirical study of schema development in two communities

Stemle, Egon;König, Alexander;Liu, Nannan;Frey, Jennifer-Carmen;Russo, Mariachiara;et.al.
(2026) CLARIN Annual Conference 2025 — Location: Vienna, Austria (30.September.2025)

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Authors
  • Stemle, Egon
    Author
  • König, Alexander
    Author
  • Liu, Nannan
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  • Frey, Jennifer-Carmen
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  • Russo, Mariachiara
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Abstract
This paper investigates the development of domain-specific metadata schemata to support FAIR data management within specialised research communities. We report on the communityinformed creation of the Core Metadata Schema for Learner Corpora (LC-meta) initiative and the metadata schema developed for interpreting corpora within the Unified Interpreting Corpus (UNIC) project. We address how metadata are described and standardised, as well as the principles for schema design and the technical implementation of metadata frameworks. Our findings underline the importance of stakeholder involvement, iterative design, domain-oriented approaches to metadata standardisation, and a demand for technical support.
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Citations

Stemle, E., König, A., Liu, N., Frey, J.-C., Paquot, M., & Russo, M. (2026). Towards FAIR metadata for specialised corpora: a community-informed empirical study of schema development in two communities. In C. Grisot, T. Kontino (ed.), CLARIN Annual Conference Proceedings 2025 (pp. 68-71). CLARIN. https://doi.org/10.3384/ecp222.1611