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Description du vocabulaire


Titre

NETSCITY Toponyms (France)
NETSCITY toponyms (France)

Créateur(s)

Marion Maisonobe
Laurent Jégou
Guillaume Cabanac

Contributeur(s)

Institute for scientific and technical information (Inist) - CNRS/UAR76

Version

1.0

Date de création

Monday, November 12, 2018 00:00:00

Date de dernière modification

Tuesday, June 6, 2023 00:00:00

Nom d'attribution

LISST - CNRS/UMR 5193
Géographie-cités - CNRS/UMR 8504
IRIT - CNRS/UMR 5505

Description

This resource contains 3403 terminological entries grouped into 418 collections (grouped by urban area and by department). The geographical scope of this resource is France. The criterion used to rank homonyms is scientific activity: this resource was created to work on the distribution of research in France using scientific production data retrieved in the Web of Science.

The urban areas were built using the method described in the article authored by Marion Maisonobe, Denis Eckert and Laurent Jégou : "Delineating urban agglomerations across the world: a dataset for studying the spatial distribution of academic research at city level" published in the Cybergeo journal (https://doi.org/10.4000/cybergeo.29637). One application of this resource is the conference paper by Michel Grossetti, Marion Maisonobe, Laurent Jégou, Béatrice Milard and Guillaume Cabanac, entitled "The spatial organisation of French research through scholarly publications: regularity of long-term trends and disorder of public policies (1999-2017)" (https://hal.science/hal-02627291). The content of this resource feeds the NETSCITY web application: https://www.irit.fr/netscity. This application is presented in the conference paper: "NETSCITY: a geospatial application to analyse and map world scale production and collaboration data between cities". In ISSI'19: Proceedings of the 17th International Conference on Scientometrics and Informetrics, Tome 1, pp. 631-642, Rome: Edizioni Efesto (https://hal.science/hal-02301035). Alignment with municipalities' and departments' place names by Inist.

It is downloadable in different file formats: RDF/SKOS-XML, CSV or JSON-LD

Titre court

NETSCITY

URI

http://data.loterre.fr/ark:/67375/BVM

Nombre d'entrées par type

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Langue Termes préférentiels Termes synonymes Termes cachés