1. Bridging perceived and actual data quality : automating the framework for governance reliabilityTomaž Podobnikar, 2025, izvirni znanstveni članek Opis: 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.
Ključne besede: 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
Objavljeno v ReVIS: 14.04.2025; Ogledov: 115; Prenosov: 1
 Celotno besedilo (9,08 MB) |
2. A framework for bridging perceived and actual quality through automation : strengthening data reliability and governanceTomaž Podobnikar, 2025, drugi sestavni deli Opis: Following spatial data capture, stakeholders often invest significant resources to meet technical specifications. This challenge arises largely from varying interpretations of established standards, resulting in data that fails to meet the requirements for ingestion into the enterprise geospatial ecosystem. A key issue lies in the discrepancy between perceived data quality – how stakeholders understand or interpret the performance of the data, which is aligned with technical specifications – and actual data quality, which reflects objective performance when properly measured. The proposed data quality management (DQM) framework addresses this discrepancy by focusing on key aspects of spatial data quality, with an automated program playing a central role in bridging this divide. The framework enhances stakeholder communication and significantly improves the reliability of data governance by providing a comprehensive evaluation of data quality. This evaluation with the outputs combining error presentation through statistics, georeferenced files, and visualization enables rapid interpretation and error resolution. When applied to planned land use (PLU) data, this solution improved efficiency, enhanced overall data quality, and ensured seamless integration into the enterprise Spatial information system. This resulted in a higher level of maturity in data quality management.
Ključne besede: quality assurance/quality control (QA/QC), continuous process improvement, spatial data quality, data steward, data governance, planned land use data, perceived vs. actual data quality, geospatial, data quality management (DQM), uncertainty management
Objavljeno v ReVIS: 14.04.2025; Ogledov: 103; Prenosov: 1
Celotno besedilo (2,66 MB) |
3. Blockchain for quality : advancing security, efficiency, and transparency in financial systemsTomaž Kukman, Sergej Gričar, 2025, izvirni znanstveni članek Ključne besede: blockchain, cryptocurrency, decentralisation, quality, transaction
Objavljeno v ReVIS: 07.02.2025; Ogledov: 268; Prenosov: 4
Celotno besedilo (905,46 KB)
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4. The effect of burnout experienced by nurses in retirement homes on human resources economicsLjiljana Leskovic, Sergej Gričar, Raffaella Folgieri, Violeta Šugar, Štefan Bojnec, 2024, izvirni znanstveni članek Ključne besede: quality of work, healthcare workers, human resources economics, public sector economics, factor analysis, comparative analysis
Objavljeno v ReVIS: 02.02.2024; Ogledov: 844; Prenosov: 14
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