TRENDS IN THE DEVELOPMENT OF OPEN GOVERNMENT DATA IN EUROPEAN COUNTRIES IN 2022-2024

Main Article Content

Kseniia Mohylna
https://orcid.org/0000-0002-7472-2458
Vitaliia Koibichuk
https://orcid.org/0000-0002-3540-7922
Bhola Khan
https://orcid.org/0000-0002-4479-2762

Abstract

This article investigates the trends in the development of open government data in European countries between 2022 and 2024, based on the Open Data Maturity Report. The relevance of the study is driven by the growing role of open data in ensuring transparency in public administration and supporting digital transformation. The main objective of the study is to classify European countries according to the dynamics of open government data development and to identify key differences in digital maturity.
The study applies the Time Series K-Means clustering method to normalized digital maturity indicators of countries for the period 2022–2024. As a result, three typical trajectories of open data development were identified: countries with an average starting point but dynamic growth; leading states with high and stable openness indicators; and countries with the lowest levels of digital openness and unstable progress. The analysis of average cluster indicators showed that the main differences between groups lie in the impact of open data on socio-economic processes and compliance with technical standards. At the same time, there is a trend toward narrowing the gap between countries in terms of political governance of open data.
The study concludes that structural inequalities persist among European countries in the development of open data policies, while common vectors of digital transformation are being confirmed. The findings may be used for comparative analyses of digital policies, improvement of national open data strategies, and assessment of the effectiveness of digital reforms. Promising directions for further research include a deeper analysis of the impact of open data on public governance, economic development, and social trust, as well as interregional comparisons of openness policy implementation.

Article Details

How to Cite

Mohylna, K., Koibichuk, V., & Khan, B. (2025). TRENDS IN THE DEVELOPMENT OF OPEN GOVERNMENT DATA IN EUROPEAN COUNTRIES IN 2022-2024. Socio-Economic Relations in the Digital Society, 2(56), 102-114. https://doi.org/10.55643/ser.2.56.2025.608

References

Analyze search results for TITLE-ABS-KEY (open AND government AND data). (n. d.). Scopus. https://www.scopus.com/term/analyzer.uri?sort=plf-f&src=s&sid=46c2647ac421af05406b9974dc1239d4&sot=a&sdt=a&sl=35&s=TITLE-ABS-KEY(Open+Government+Data)&origin=resultslist&count=10&analyzeResults=Analyze+results

Alexopoulos, C., Diamantopoulou, V., & Charalabidis, Y. (2017). Tracking the evolution of OGD portals: A maturity mod-el. In Electronic government. EGOV 2017. lecture notes in computer science. Springer. https://doi.org/10.1007/978-3-319-64677-0_24

Macedo, D. F., & da Silva Lemos, D. L. (2024). Open government data: Maturity diagnosis model for quality data pub-lished on the web. Em Quest, 30. https://doi.org/10.1590/1808-5245.30.132617

Veljković, N., Bogdanović-Dinić, S., & Stoimenov, L. (2014). Benchmarking open government: An open data perspective. Government Information Quarterly, 31(2), 278–290. https://doi.org/10.1016/j.giq.2013.10.011

Çaldağ, M. T., & Gökalp, E. (2022). The maturity of open government data maturity: A multivocal literature review. Aslib Journal of Information Management, 74(6), 1007–1030. https://doi.org/10.1108/AJIM-11-2021-0354

Okuyucu, A., & Yavuz, N. (2020). Big data maturity models for the public sector: A review of state and organizational level models. Transforming Government: People, Process and Policy, 14(4), 681–699. https://doi.org/10.1108/TG-09-2019-0085

Hujran, O., Alarabiat, A., & AlSuwaidi, M. (2022). Analysing e-government maturity models. Electronic Government, an International Journal, 19(1), 1–21. https://doi.org/10.1504/EG.2023.127575

Arisi, M. (2022). Open knowledge. access and re-use of research data in the european union open data directive and the implementation in italy. The Italian Law Journal, 8(1), 33–73. https://doi.org/10.5281/zenodo.7471973

Paparova, D., Aanestad, M., Vassilakopoulou, P., & Bahus, M. K. (2023). Data governance spaces: The case of a national digital service for personal health data. Information and Organization, 33(1). https://doi.org/10.1016/j.infoandorg.2023.100451

Gao, Y., Janssen, M., & Zhang, C. (2021). Understanding the evolution of open government data research: Towards open data sustainability and smartness. International Review of Administrative Sciences, 89(1). https://doi.org/10.1177/00208523211009955

Didas, M. (2023). The barriers and prospects related to big data analytics implementation in public institutions: A sys-tematic review analysis. International Journal of Advanced Computer Research, 13(64), 29–54. https://doi.org/10.19101/IJACR.2021.1152071

Zeleti, F. A., Ojo, A., & Curry, E. (2016). Exploring the economic value of open government data. Government Infor-mation Quarterly, 33(3), 535–551. https://doi.org/10.1016/j.giq.2016.01.008

Quarati, A. (2020). Open Government Data: Usage trends and metadata quality. Journal of Information Science, 49(4). https://doi.org/10.1177/01655515211027775

Open data maturity. (2024). European data. https://data.europa.eu/en/publications/open-data-maturity

Kobylin, O., & Lyashenko, V. (2020). Time series clustering based on the k-means algorithm. Journal la multiapp, 1(3), 1–7. https://doi.org/10.37899/journallamultiapp.v1i3.191

Huang, X., Ye, Y., Xiong, L., Y.K. Lau, R., Jiang, N., & Wang, S. (2016). Time series k-means: A new k-means type smooth subspace clustering for time series data. Information Sciences, 367, 1–13. https://doi.org/10.1016/j.ins.2016.05.040

Amidon, A. (2020, 17 July). How to Apply K-means Clustering to Time Series Data. Medium. https://medium.com/data-science/how-to-apply-k-means-clustering-to-time-series-data-28d04a8f7da3

Page, M., Behrooz, A., & Moro, M. (2024, December). Open data in europe 2024. European data. https://data.europa.eu/en/publications/open-data-maturity/2024

Geiger, C. P., & von Lucke, J. (2012). Open government and (linked) (open) (government) (data). EJournal of eDemoc-racy and Open Government (JeDEM), 4(2), 265–278. https://doi.org/10.29379/jedem.v4i2.143

Attard, J., Orlandi, F., Scerri, S., & Auer, S. (2015). A systematic review of open government data initiatives. Govern-ment Information Quarterly, 32(4), 399–418. https://doi.org/10.1016/j.giq.2015.07.006

Didas, M. (2023). The barriers and prospects related to big data analytics implementation in public institutions: A sys-tematic review analysis. International Journal of Advanced Computer Research, 13(64), 29–54. https://doi.org/10.19101/IJACR.2021.1152071

European Commission. (2020, February 19). European data strategy. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en

Franck, G. (2023, May 2). A European strategy for data: Communication from the European commission. OpenAIRE. https://www.openaire.eu/a-european-strategy-for-data-communication-from-the-european-commission

European Commission (2025, April 9). A European strategy for data. https://digital-strategy.ec.europa.eu/en/policies/strategy-data

European Commission. (2024, January 11). European Data Act enters into force, putting in place new rules for a fair and innovative data economy. https://digital-strategy.ec.europa.eu/en/news/european-data-act-enters-force-putting-place-new-rules-fair-and-innovative-data-economy

Arisi, M. (2022). Open knowledge. access and re-use of research data in the European union open data directive and the implementation in Italy. The Italian Law Journal, 8(1), 33–73. https://doi.org/10.5281/zenodo.7471972