Methodology For Qualitative Evaluation of Open Data

Authors

Matevž Pesek
Univerza v Ljubljani, Fakulteta za računalništvo in informatiko
https://orcid.org/0000-0001-9101-0471
Jure Juvan
University of Ljubljana, Faculty of Computer and Information Science
https://orcid.org/0009-0003-6422-7431
Klara Žnideršič
University of Ljubljana, Faculty of Computer and Information Science
https://orcid.org/0009-0006-7641-8472
Matija Marolt
University of Ljubljana, Faculty of Computer and Information Science
https://orcid.org/0000-0002-0619-8789

Synopsis

The increasing availability of open data and open data platforms emphasizes the need for reliable evaluation methods to ensure data quality. Effective assessment is critical as the promotion of open data reuse gains momentum, while the quality of this data, often published as a by-product of government processes, can be inconsistent. This paper explores how existing research addresses the challenge of open data assessment and highlights the lack of methodologies applicable to Slovenian open data portals. Existing frameworks are usually limited to assessing either metadata or specific datasets. To fill this gap, we propose a novel methodology based on a comprehensive review of current approaches. This framework is designed to assess multiple dimensions of open data quality and serves as a basis for the development of automated tools for assessing datasets and data portals.

Author Biographies

Matevž Pesek, Univerza v Ljubljani, Fakulteta za računalništvo in informatiko

Ljubljana, Slovenia. E-mail: matevz.pesek@fri.uni-lj.si

Jure Juvan, University of Ljubljana, Faculty of Computer and Information Science

Ljubljana, Slovenia. E-mail: jure.juvan@fri.uni-lj.si

Klara Žnideršič, University of Ljubljana, Faculty of Computer and Information Science

Ljubljana, Slovenia. E-mail: klara.znidersic@fri.uni-lj.si

Matija Marolt , University of Ljubljana, Faculty of Computer and Information Science

Ljubljana, Slovenia. E-mail: matija.marolt@fri.uni-lj.si

Downloads

Published

March 19, 2025

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Pesek, M., Juvan, J., Žnideršič, K., & Marolt , M. (2025). Methodology For Qualitative Evaluation of Open Data. In P. Šprajc Polona Šprajc, D. Maletič, N. P. Nataša Petrović, I. P. Iztok Podbregar, A. Škraba Andrej Škraba, A. Žnidaršič, D. Varsamis, & Živa Rant (Eds.), & (Ed.), 44th International Conference on Organizational Science Development: Human Being, Artificial Intelligence and Organization, Conference Proceedings (Vols. 44, pp. 729-742). University of Maribor Press. https://press.um.si/index.php/ump/catalog/book/962/chapter/320