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Overview of recent methodologies for open data quality assessment
ID Žnideršič, Klara (Author), ID Marolt, Matija (Author), ID Pesek, Matevž (Author)

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Abstract
The open data movement has led to the widespread sharing of data across all sectors, offering great potential for innovation and informed decision-making. Nevertheless, open data quality remains a key challenge. This study provides a systematic overview of 16 recent methodologies for data quality assessment, emphasizing their alignment with ISO/IEC 25012 and ISO 8000 standards, FAIR principles, 5-Star Linked Open Data System, and DCAT vocabulary. We also highlight foundational work and identify adaptable methods suitable for the Slovenian open data portal. By recommending practical approaches, this work provides a strategic basis for improving data quality in regional and national platforms, supporting improved data utilization and transparency for end users.

Language:English
Keywords:open data, quality assessment, methodologies
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:24 str.
Numbering:Vol. , no.
PID:20.500.12556/RUL-176378 This link opens in a new window
UDC:004.6
ISSN on article:0868-4952
DOI:10.15388/25-INFOR614 This link opens in a new window
COBISS.SI-ID:259097347 This link opens in a new window
Publication date in RUL:28.11.2025
Views:74
Downloads:9
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Record is a part of a journal

Title:Informatica
Shortened title:Inf.
Publisher:Institute of Mathematics and Cybernetics, Institute of Mathematics and Cybernetics, Institute of Mathematics and Informatics, Vilnius University, Institute of Mathematics and Informatics, Vilnius University, Institute of Data Science and Digital Technologies
ISSN:0868-4952
COBISS.SI-ID:1998381 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:odprti podatki, ocenjevanje kvalitete, metodologije

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:V2-2388-2023
Name:Izdelava metodologije za določanje kakovosti podatkov ter ocena kakovosti posameznih podatkovnih zbirk na nacionalnem portalu odprtih podatkov Slovenije - portalu OPSI

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