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Spatial discovery and the research library / Sara Lafia in Transactions in GIS, vol 20 n° 3 (June 2016)  

Public [article]  inTransactions in GIS > vol 20 n° 3 (June 2016) . - pp 399 – 412 Titre : Spatial discovery and the research library Type de document : Article/Communication Auteurs : Sara Lafia, Auteur ; Jon Jablonski, Auteur ; Werner Kuhn, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 399 – 412 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] accès aux données localisées [Termes IGN] bibliothèque numérique [Termes IGN] découverte de connaissances [Termes IGN] données ouvertes [Termes IGN] métadonnées géographiques [Termes IGN] plateforme logicielle [Termes IGN] publication [Termes IGN] recherche scientifique [Termes IGN] système d'information géographique [Termes IGN] web des données Résumé : (auteur) Academic libraries have always supported research across disciplines by integrating access to diverse contents and resources. They now have the opportunity to reinvent their role in facilitating interdisciplinary work by offering researchers new ways of sharing, curating, discovering, and linking research data. Spatial data and metadata support this process because location often integrates disciplinary perspectives, enabling researchers to make their own research data more discoverable, to discover data of other researchers, and to integrate data from multiple sources. The Center for Spatial Studies at the University of California, Santa Barbara (UCSB) and the UCSB Library are undertaking joint research to better enable the discovery of research data and publications. The research addresses the question of how to spatially enable data discovery in a setting that allows for mapping and analysis in a GIS while connecting the data to publications about them. It suggests a framework for an integrated data discovery mechanism and shows how publications may be linked to associated data sets exposed either directly or through metadata on Esri's Open Data platform. The results demonstrate a simple form of linking data to publications through spatially referenced metadata and persistent identifiers. This linking adds value to research products and increases their discoverability across disciplinary boundaries. Numéro de notice : A2016-461 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12235 En ligne : http://dx.doi.org/10.1111/tgis.12235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81391 [article]