20.500.12556/RUL-176378 Overview of recent methodologies for open data quality assessment 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. open data quality assessment methodologies odprti podatki ocenjevanje kvalitete metodologije true false true Angleški jezik Slovenski jezik Članek v reviji 2025-11-28 12:07:06 2025-11-28 12:07:07 2026-04-23 04:26:20 0000-00-00 00:00:00 2025 0 0 24 str. no. Vol. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.6 0868-4952 10.15388/25-INFOR614 259097347 RAZ_Znidersic_Klara_2025.pdf RAZ_Znidersic_Klara_2025.pdf 1 E21680E561B8F5ACC27A43EF788CCAD7 2557ea8a36fa594093ce85d81e0d00647057cb30e25b8568fe352cdd3c4c0e95 b7b9dcc6-3e16-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=232893 https://informatica.vu.lt/journal/INFORMATICA/article/1395/info 1 036b349b-cc4a-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=222691 Fakulteta za računalništvo in informatiko 0 0 0