Open Data Quality Assessment

OPSI
 
OPSI-demo
 
ARISLogoSlo
  • Project name: Izdelava metodologije za določanje kakovosti podatkov ter ocena kakovosti posameznih podatkovnih zbirk na nacionalnem portalu odprtih podatkov Slovenije - portalu OPSI
  • Date: 2023-2025
  • Code: V2-2388

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:

  • PDF
    Pesek, M., Juvan, J., Žnideršič, K., & Marolt, M. (2025). Metodologija za kvalitativno vrednotenje odprtih podatkov = Methodology for qualitative evaluation of open data. 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], 729–741. https://doi.org/10.18690/um.fov.2.2025.56
    BibTex
    @inproceedings{232343555,
    	author = {Pesek, Matev{\v z} and Juvan, Jure and {\v Z}nider{\v s}i{\v c}, Klara and Marolt, Matija},
    	booktitle = {44th {International} {Conference} on {Organizational} {Science} {Development} : human being, artificial intelligence and organization : conference proceedings = 44. mednarodna konferenca o razvoju organizacijskih znanosti = {\v c}lovek, umetna inteligenca in organizacija = konferen{\v c}ni zbornik : [{March} 19 -- 21, 2025, {Portoro}{\v z}]},
    	doi = {10.18690/um.fov.2.2025.56},
    	year = {2025},
    	pages = {729--741},
    	title = {Metodologija za kvalitativno vrednotenje odprtih podatkov = {Methodology} for qualitative evaluation of open data},
    }
  • PDF
    Juvan, J., Žnideršič, K., Marolt, M., & Pesek, M. (2025). 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 (pp. 293–324). https://doi.org/10.18690/um.fov.2.2026.7
    BibTex
    @inbook{268983555,
    	author = {Juvan, Jure and {\v Z}nider{\v s}i{\v c}, Klara and Marolt, Matija and Pesek, Matev{\v z}},
    	booktitle = {Odprti podatki kot pospe{\v s}evalec dru{\v z}benih, okoljskih in gospodarskih inovacij -- prilo{\v z}nosti in izzivi},
    	doi = {10.18690/um.fov.2.2026.7},
    	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},
    }
  • PDF
    Žnideršič, K., & Pesek, M. (2025). 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 (pp. 253–291). https://doi.org/10.18690/um.fov.2.2026.6
    BibTex
    @inbook{268819715,
    	author = {{\v Z}nider{\v s}i{\v c}, Klara and Pesek, Matev{\v z}},
    	booktitle = {Odprti podatki kot pospe{\v s}evalec dru{\v z}benih, okoljskih in gospodarskih inovacij -- prilo{\v z}nosti in izzivi},
    	doi = {10.18690/um.fov.2.2026.6},
    	year = {2025},
    	pages = {253--291},
    	title = {Pregled obstoje{\v c}ih pristopov k vrednotenju kakovosti odprtih podatkov = {Overview} of existing approaches to assessing the quality of open data},
    }
  • PDF
    Žnideršič, K., Marolt, M., & Pesek, M. (2026). Overview of recent methodologies for open data quality assessment. Informatica, 37(1), 251–274. https://doi.org/10.15388/25-INFOR614
    BibTex
    @article{259097347,
    	author = {{\v Z}nider{\v s}i{\v c}, Klara and Marolt, Matija and Pesek, Matev{\v z}},
    	journal = {Informatica},
    	doi = {10.15388/25-INFOR614},
    	number = {1},
    	year = {2026},
    	pages = {251--274},
    	title = {Overview of recent methodologies for open data quality assessment},
    	volume = {37},
    }
The authors acknowledge the financial support from the state budget by the Slovenian Research and Innovation Agency (project No. V2-2388).