20.500.12556/ReVIS-11590 Bridging perceived and actual data quality automating the framework for governance reliability The discrepancy between perceived and actual data quality, shaped by stakeholders’ interpretations of technical specifications, poses significant challenges in governance, impacting decision-making and stakeholder trust. To address this, we introduce an automated data quality management (DQM) framework, implemented through the NRPvalid toolkit, as a standalone solution incorporating over 100 assessment tools. This framework strengthens data quality evaluation and stakeholder collaboration by systematically bridging subjective perceptions with objective quality metrics. Unlike traditional producer–user models, it accounts for complex, multi-stakeholder interactions to improve data governance. Applied to planned land use (PLU) data, the framework significantly reduces discrepancy, as quantified by error score metrics, and directly enhances building permit issuance by streamlining interactions among administrative units, municipalities, and investors. By evaluating, refining, and seamlessly integrating spatial data into the enterprise spatial information system, this scalable, automated solution supports constant data quality improvement. The DQM and its toolkit have been widely adopted, promoting transparent, reliable, and efficient geospatial data governance. perceived and actual data quality data quality management DQM quality assurance/quality control QA/QC spatial data quality data quality standards data governance planned land use automation uncertainty management geospatial zaznana in dejanska kakovost podatkov upravljanje kakovosti podatkov zagotavljanje/kontrola kakovosti kakovost prostorskih podatkov standardi kakovosti podatkov upravljanje podatkov načrtovana raba zemljišč avtomatizacija obvladovanje negotovosti geoprostorski true true false Angleški jezik Slovenski jezik Članek v reviji 2025-04-14 11:03:06 2025-04-14 11:03:06 2025-04-15 03:08:08 0000-00-00 00:00:00 2025 0 0 Nasl. z nasl. zaslona; Opis vira z dne 11. 4. 2025; Str. 1-24 iss. 4, [article no.] 117 Vol. 15 2025 0000-00-00 NiDoloceno Objavljeno NiDoloceno 0000-00-00 0000-00-00 2025-01-01 004.6:005.336.3 2076-3263 232341763 10.3390/geosciences15040117 RAZ_Podobnikar_Tomaz_2025.pdf RAZ_Podobnikar_Tomaz_2025.pdf 1 C4DD8FC3E4E1BCFA6808E6CAC27E946A f64fd1cfb3b06923303517e61516ba9df32c2321d1ed00731e3d0402e160bc3a 98750bc5-190f-11f0-963a-001a4af901a5 https://revis.openscience.si/Dokument.php?lang=slv&id=13342 Fakulteta za informacijske študije v Novem mestu 0 0 0