Title: Improving FAIRness of the SYNOP meteorological data set with semantic metadata

Authors: Amina Annane; Mouna Kamel; Cassia Trojahn; Nathalie Aussenac-Gilles; Catherine Comparot; Christophe Baehr

Addresses: Institut de Recherche en Informatique de Toulouse (IRIT), CNRS, Université de Toulouse, Toulouse, France ' Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse, Toulouse, France ' Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse, Toulouse, France ' Institut de Recherche en Informatique de Toulouse (IRIT), CNRS, Université de Toulouse, Toulouse, France ' Institut de Recherche en Informatique de Toulouse (IRIT), Université de Toulouse, Toulouse, France ' Centre National de Recherches Météorologiques (CNRM), Météo-France, Paris, Toulouse, France

Abstract: Meteorological data, essential in a variety of applications, has been made available as open data through different portals, either governmental, associative or private ones. Making this data fully findable and reusable for experts from other domains than meteorology requires considerable efforts to guarantee compliance to the FAIR principles. Nowadays, most efforts in data FAIRification are limited to semantic metadata describing the overall features of data sets. However, such a description is not enough to fully address data interoperability and reusability by other scientific communities. This paper addresses this weakness by proposing a semantic model to represent different kinds of metadata, describing the data schema and the internal structure of a data set distribution, together with domain-specific definitions. This model is used to provide a reusable schema of the SYNOP data set, a largely used governmental meteorological data set in France. The impact of using the proposed model for improving FAIRness was evaluated.

Keywords: metadata; ontologies; meteorological data; FAIR principles.

DOI: 10.1504/IJMSO.2023.135332

International Journal of Metadata, Semantics and Ontologies, 2023 Vol.16 No.2, pp.118 - 137

Received: 13 May 2022
Accepted: 22 Jan 2023
Published online: 05 Dec 2023 *

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