Quality of metadata in open data portals

During the last decade, numerous governmental, educational or cultural institutions have launched Open Data initiatives that have facilitated the access to large volumes of datasets on the web. The main way to disseminate this availability of data has been the deployment of Open Data catalogs exposi...

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Authors: Nogueras-Iso, Javier, Lacasta, Javier, Urena-Camara, Manuel Antonio, Ariza-Lopez, Francisco Javier
Format: article
Status:Published version
Publication Date:2021
Country:España
Institution:Universidad de Zaragoza
Repository:Zaguán. Repositorio Digital de la Universidad de Zaragoza
OAI Identifier:oai:zaguan.unizar.es:109641
Online Access:http://zaguan.unizar.es/record/109641
Access Level:Open access
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spelling Quality of metadata in open data portalsNogueras-Iso, JavierLacasta, JavierUrena-Camara, Manuel AntonioAriza-Lopez, Francisco JavierDuring the last decade, numerous governmental, educational or cultural institutions have launched Open Data initiatives that have facilitated the access to large volumes of datasets on the web. The main way to disseminate this availability of data has been the deployment of Open Data catalogs exposing metadata of these datasets, which are easily indexed by web search engines. Open Source platforms have facilitated enormously the labor of institutions involved in Open Data initiatives, making the setup of Open Data portals almost a trivial task. However, few approaches have analyzed how precisely metadata describes the associated datasets. Taking into account the existing approaches for analyzing the quality of metadata in the Open Data context and other related domains, this work contributes to the state of the art by extending an ISO 19157 based method for checking the quality of geographic metadata to the context of Open Data metadata. Focusing on metadata models compliant with the Data Catalog Vocabulary proposed by W3C, the proposed extended method has been applied for the evaluation of the Open Data catalog of the Spanish Government. The results have been also compared with those obtained by the Metadata Quality Assessment methodology proposed at the European Data Portal.2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://zaguan.unizar.es/record/109641reponame:Zaguán. Repositorio Digital de la Universidad de Zaragozainstname:Universidad de ZaragozaInglésinfo:eu-repo/grantAgreement/ES/DGA/T59-20Rinfo:eu-repo/semantics/openAccessoai:zaguan.unizar.es:1096412026-05-29T13:59:51Z
dc.title.none.fl_str_mv Quality of metadata in open data portals
title Quality of metadata in open data portals
spellingShingle Quality of metadata in open data portals
Nogueras-Iso, Javier
title_short Quality of metadata in open data portals
title_full Quality of metadata in open data portals
title_fullStr Quality of metadata in open data portals
title_full_unstemmed Quality of metadata in open data portals
title_sort Quality of metadata in open data portals
dc.creator.none.fl_str_mv Nogueras-Iso, Javier
Lacasta, Javier
Urena-Camara, Manuel Antonio
Ariza-Lopez, Francisco Javier
author Nogueras-Iso, Javier
author_facet Nogueras-Iso, Javier
Lacasta, Javier
Urena-Camara, Manuel Antonio
Ariza-Lopez, Francisco Javier
author_role author
author2 Lacasta, Javier
Urena-Camara, Manuel Antonio
Ariza-Lopez, Francisco Javier
author2_role author
author
author
description During the last decade, numerous governmental, educational or cultural institutions have launched Open Data initiatives that have facilitated the access to large volumes of datasets on the web. The main way to disseminate this availability of data has been the deployment of Open Data catalogs exposing metadata of these datasets, which are easily indexed by web search engines. Open Source platforms have facilitated enormously the labor of institutions involved in Open Data initiatives, making the setup of Open Data portals almost a trivial task. However, few approaches have analyzed how precisely metadata describes the associated datasets. Taking into account the existing approaches for analyzing the quality of metadata in the Open Data context and other related domains, this work contributes to the state of the art by extending an ISO 19157 based method for checking the quality of geographic metadata to the context of Open Data metadata. Focusing on metadata models compliant with the Data Catalog Vocabulary proposed by W3C, the proposed extended method has been applied for the evaluation of the Open Data catalog of the Spanish Government. The results have been also compared with those obtained by the Metadata Quality Assessment methodology proposed at the European Data Portal.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://zaguan.unizar.es/record/109641
url http://zaguan.unizar.es/record/109641
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/ES/DGA/T59-20R
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv
publisher.none.fl_str_mv
dc.source.none.fl_str_mv reponame:Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname:Universidad de Zaragoza
instname_str Universidad de Zaragoza
reponame_str Zaguán. Repositorio Digital de la Universidad de Zaragoza
collection Zaguán. Repositorio Digital de la Universidad de Zaragoza
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301629

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