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Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions / Stephen Maguire in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1334 - 1358 Titre : Ripe for the picking? Dataset maturity assessment based on temporal dynamics of feature definitions Type de document : Article/Communication Auteurs : Stephen Maguire, Auteur ; Martin Tomko, Auteur Année de publication : 2017 Article en page(s) : pp 1334 - 1358 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données cartographiques [Termes IGN] cohérence des données [Termes IGN] données localisées des bénévoles [Termes IGN] exhaustivité des données [Termes IGN] maturité des données [Termes IGN] mesure de la qualité [Termes IGN] mise à jour de base de données [Termes IGN] OpenStreetMap [Termes IGN] temps instantané [Termes IGN] zone homogène Résumé : (Auteur) Map databases traditionally capture snapshot representations of the world following strict data collection and representation guidelines. The content of these map databases is often assessed using data quality metrics focusing on accuracy, completeness and consistency. The success of volunteered geographic information, supporting evolving representations of the world based on fluid guidelines, has rendered these measures insufficient. In this paper, we address the need to capture the variability in quality of a map database. We propose a new spatial data quality measure – dataset maturity – enabling assessment of the database based on temporal trends in feature definitions, specifically geometry-type definitions. The proposed measure can be (1) efficiently used to identify feature definition patterns reflecting community consensus that could be formalised in community guidelines and (2) deployed to identify regions that would benefit from increased editorial activity to achieve greater map homogeneity. We demonstrate the measure based on the content of the OpenStreetMap database in four regions of the world and show how the proposed dataset maturity measure captures a distinct quality of the datasets, distinct to data completeness and consistency. Numéro de notice : A2017-304 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1287370 En ligne : http://dx.doi.org/10.1080/13658816.2017.1287370 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85351 [article]

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