84362 20200716101528.0 doi 10.1080/13658816.2018.1515437 sideral 108023 ART-2019-108023 eng Ureña-Cámara, M.A. A method for checking the quality of geographic metadata based on ISO 19157 2019 Access copy available to the general public Unrestricted With recent advances in remote sensing, location-based services and other related technologies, the production of geospatial information has exponentially increased in the last decades. Furthermore, to facilitate discovery and efficient access to such information, spatial data infrastructures were promoted and standardized, with a consideration that metadata are essential to describing data and services. Standardization bodies such as the International Organization for Standardization have defined well-known metadata models such as ISO 19115. However, current metadata assets exhibit heterogeneous quality levels because they are created by different producers with different perspectives. To address quality-related concerns, several initiatives attempted to define a common framework and test the suitability of metadata through automatic controls. Nevertheless, these controls are focused on interoperability by testing the format of metadata and a set of controlled elements. In this paper, we propose a methodology of testing the quality of metadata by considering aspects other than interoperability. The proposal adapts ISO 19157 to the metadata case and has been applied to a corpus of the Spanish Spatial Data Infrastructure. The results demonstrate that our quality check helps determine different types of errors for all metadata elements and can be almost completely automated to enhance the significance of metadata. info:eu-repo/grantAgreement/ES/DGA/T59-17R info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88002-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.733 2019 COMPUTER SCIENCE, INFORMATION SYSTEMS 36 / 156 = 0.231 2019 Q1 T1 GEOGRAPHY, PHYSICAL 11 / 50 = 0.22 2019 Q1 T1 INFORMATION SCIENCE & LIBRARY SCIENCE 16 / 87 = 0.184 2019 Q1 T1 GEOGRAPHY 10 / 84 = 0.119 2019 Q1 T1 1.218 2019 Geography, Planning and Development 2019 Q1 Library and Information Sciences 2019 Q1 Information Systems 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-1279-0367 Nogueras-Iso, J. Universidad de Zaragoza (orcid)0000-0003-3071-5819 Lacasta, J. Universidad de Zaragoza Ariza-López, F.J. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 33, 1 (2019), 1-27 Int. j. geogr. inf. sci. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 1365-8816 408894 http://zaguan.unizar.es/record/84362/files/texto_completo.pdf Postprint 70230 http://zaguan.unizar.es/record/84362/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:84362 articulos driver 2020-07-16-09:32:38 ARTICLE