The project is dedicated to improving the quality and usability of open data in Slovenia. Our initiative focuses on the development of a comprehensive methodology for assessing the quality of data published on the Slovenian Open Data Portal (OPSI).
As part of the project we will: (1) conduct extensive research on existing methods and best practices for open data quality assessment in order to develop a customized data quality assessment methodology that meets the specific needs of open data in Slovenia; (2) develop and implement a user-friendly, automated tool to simplify and streamline the data quality assessment process, enabling stakeholders— such as data publishers and application developers— to efficiently assess the quality of datasets; and (3) produce comprehensive documentation and training materials to promote the adoption of our methodology and tool and to support a culture of open data use that improves governance and drives innovation in Slovenia.
Publications:
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M. Pesek, J. Juvan, K. Žnideršič, and M. Marolt, "Metodologija za kvalitativno vrednotenje odprtih podatkov = methodology for qualitative evaluation of open data," in 44th international conference on organizational science development : human being, artificial intelligence and organization : conference proceedings = 44. mednarodna konferenca o razvoju organizacijskih znanosti = človek, umetna inteligenca in organizacija = konferenčni zbornik : [march 19 – 21, 2025, portorož], 2025, pp. 729-741.
[Bibtex]@conference{232343555, author={Matevž Pesek and Jure Juvan and Klara Žnideršič and Matija Marolt}, year={2025}, pages={729-741}, title={Metodologija za kvalitativno vrednotenje odprtih podatkov = Methodology for qualitative evaluation of open data}, booktitle={44th International Conference on Organizational Science Development : human being, artificial intelligence and organization : conference proceedings = 44. mednarodna konferenca o razvoju organizacijskih znanosti = človek, umetna inteligenca in organizacija = konferenčni zbornik : [March 19 – 21, 2025, Portorož]}, }
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J. Juvan, K. Žnideršič, M. Marolt, and M. Pesek, "Metodologija za kvalitativno vrednotenje odprtih podatkov in pregled podatkovnih zbirk na portalu opsi = methodology for qualitative evaluation of open data and datasets review on the opsi portal," in Odprti podatki kot pospeševalec družbenih, okoljskih in gospodarskih inovacij – priložnosti in izzivi, Univerza v mariboru, univerzitetna založba, 2025, pp. 293-324.
[Bibtex]@inbook{268983555, author={Jure Juvan and Klara Žnideršič and Matija Marolt and Matevž Pesek}, year={2025}, pages={293-324}, title={Metodologija za kvalitativno vrednotenje odprtih podatkov in pregled podatkovnih zbirk na portalu OPSI = Methodology for qualitative evaluation of open data and datasets review on the OPSI portal}, booktitle={Odprti podatki kot pospeševalec družbenih, okoljskih in gospodarskih inovacij – priložnosti in izzivi}, publisher={Univerza v Mariboru, Univerzitetna založba}, }
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K. Žnideršič and M. Pesek, "Pregled obstoječih pristopov k vrednotenju kakovosti odprtih podatkov = overview of existing approaches to assessing the quality of open data," in Odprti podatki kot pospeševalec družbenih, okoljskih in gospodarskih inovacij – priložnosti in izzivi, Univerza v mariboru, univerzitetna založba, 2025, pp. 253-291.
[Bibtex]@inbook{268819715, author={Klara Žnideršič and Matevž Pesek}, year={2025}, pages={253-291}, title={Pregled obstoječih pristopov k vrednotenju kakovosti odprtih podatkov = Overview of existing approaches to assessing the quality of open data}, booktitle={Odprti podatki kot pospeševalec družbenih, okoljskih in gospodarskih inovacij – priložnosti in izzivi}, publisher={Univerza v Mariboru, Univerzitetna založba}, }
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K. Žnideršič, M. Marolt, and M. Pesek, "Overview of recent methodologies for open data quality assessment," Informatica, vol. 37, iss. 1, pp. 251-274, 2026.
[Bibtex]@article{259097347, author={Klara Žnideršič and Matija Marolt and Matevž Pesek}, year={2026}, pages={251-274}, volume={37}, title={Overview of recent methodologies for open data quality assessment}, journal={Informatica}, number={1}, }



