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A Framework for Evaluation and Improvement of Open Government Data Quality

Application to the Western Balkans National Open Data Portals

Bibliographic Data

ID16915611
AuthorsVigan Raca (0000-0003-4562-8275, Saints Cyril and Methodius University of Skopje, corresponding author), Goran Velinov (0000-0002-6848-9514, Saints Cyril and Methodius University of Skopje), Stefan Dzalev (Saints Cyril and Methodius University of Skopje), Margita Kon-Popovska (Saints Cyril and Methodius University of Skopje)
Year2022
Volume12
Issue2
Publication date2022-04-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440221104813
OpenAlexW4282834087
LanguageEN
Citations received2
References cited28

Open Government Data (OGD) has become a widely employed tool by governments around the world to promote transparent and accountable policy-making. In the context of societal actors’ ability to reuse such data, one of the most important features of ODG is its quality. Thus, through this research, we aim to address the level of data quality by introducing a new framework that constantly monitors and evaluates the OGD quality of Western Balkan (WB) National Open Data Portals. The advantage of the proposed framework is the integration on the portal level enabling information exposure about the quality dimension at any time. An additional value of the framework is the ability to provide recommendations with the intention of improving quality issues. The applicability and findings of the proposed framework are not limited to the WB and once contextualized that could be applied to other countries in the Eastern European that face similar data quality challenges

Business · Data quality · Data science · Geography · Knowledge management · Open data · Open government · Process management · Reuse · World Wide Web · Computer Science · Data Quality and Management · E-Government and Public Services · Engineering · Privacy-Preserving Technologies in Data · Marketing

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Citations per year0.67
Citation span2023 - 2026 (4)
Highly citedNo

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