Please use this identifier to cite or link to this item: https://hdl.handle.net/10953/1725
Title: A method for checking the quality of geographic metadata based on ISO 19157
Authors: Ureña-Cámara, Manuel A.
Nogueras-Iso, Javier
Lacasta, Javier
Ariza-López, Francisco J.
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.
Keywords: Geographic Data
ISO 19115
quality
ISO 19157
spatial data infrastructures
Issue Date: 2018
metadata.dc.description.sponsorship: Spanish Government (project TIN2017-88002-R), Regional Government of Aragon (Spain) and the European Social Fund (code T59_17R) and the Regional Government of Andalusia (Spain) for the financial support since 1997 to the research group (Ingeniería Cartográfica) with code PAIDI-TEP-164.
Publisher: Taylor & Francis
Appears in Collections:DICGF-Artículos



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