Quotation Kubler, Sylvain and Robert, Jérémy and Le Traon, Yves and Umbrich, Jürgen and Neumaier, Sebastian. 2016. Open Data Portal Quality Comparison using AHP. In 17th Annual International Conference on Digital Government Research, Hrsg. ACM, S. 397-407. Shanghai, China: None.




During recent years, more and more Open Data becomes available and used as part of the Open Data movement. However, there are reported issues with the quality of the metadata in data portals and the data itself. This is a serious risk that could disrupt the Open Data project, as well as e-government initiatives since the data quality needs to be managed to guarantee the reliability of e-government to the public. First quality assessment frameworks emerge to evaluate the quality for a given dataset or portal along various dimensions (e.g., information completeness). Nonetheless, a common problem with such frameworks is to provide meaningful ranking mechanisms that are able to integrate several quality dimensions and user preferences (e.g., a portal provider is likely to have different quality preferences than a portal consumer). To address this multi-criteria decision making problem, our research work applies AHP (Analytic Hierarchy Process), which compares 146 active Open Data portals across 44 countries, powered by the CKAN software.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Open Data Portal Quality Comparison using AHP
Title of whole publication 17th Annual International Conference on Digital Government Research
Editor ACM
Page from 397
Page to 407
Location Shanghai, China
Year 2016
ISBN 978-1-4503-4339-8
URL http://dx.doi.org/10.1145/2912160.2912167


ADEQUATe: Analytics & Data Enrichment to improve the QUAliTy of Open Data
Umbrich, Jürgen (Former researcher)
Neumaier, Sebastian (Details)
Kubler, Sylvain (University of Luxembourg, Luxembourg)
Le Traon, Yves (University of Luxembourg, Luxembourg)
Robert, Jérémy (University of Luxembourg, Luxembourg)
Institute for Data, Process and Knowledge Management (AE Polleres) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
Google Scholar: Search