A method for checking the quality of geographic metadata based on ISO 19157. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Ureña-Cámara, Manuel Antonio; Nogueras-Iso, Javier; Lacasta, Javier; Ariza-López, Francisco Javier
• Is Part Of: International journal of geographical information science. Volume 33:Issue 1(2019)
• Page Start: 1
• Page End: 27
• Publication Date: 2019-01-02
• Subjects: Geographic metadata -- ISO 19115 -- quality -- ISO 19157 -- spatial data infrastructures; Geography -- Data processing -- Periodicals; Information storage and retrieval systems -- Periodicals; Géomatique -- Périodiques; Systèmes d'information -- Périodiques; 910.285
• DOI: 10.1080/13658816.2018.1515437
• Languages: English
• ISSNs: 1365-8816

Abstract

ABSTRACT: 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.