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Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries

[PDF] preprint_Identifying_patterns_and_recommendations_of_and_for_sustainable_open_data_initiatives.pdf (1.220Mo)
Identificadores
URI: https://hdl.handle.net/10481/86001
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Estadísticas
Statistiques d'usage de visualisation
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Auteur
Lnenicka, Martin; Nikiforova, Anastasija; Luterek, Mariusz; Milic, Petar; Rudmark, Daniel; Neumaier, Sebastian; Santoro, Caterina; Casiano Flores, Cesar; Janssen, Marijn; Rodríguez Bolívar, Manuel Pedro
Editorial
Government Information Quarterly
Materia
Open Data
 
Open data initiative
 
Benchmarking
 
Pattern
 
E-government
 
Delphi method
 
Cluster analysis
 
Date
2023-11
Referencia bibliográfica
Lnenicka, M., Nikiforova, A., Luterek, M., Milic, P., Rudmark, D., Neumaier, S., Santoro, C., Casiano Flores, C., Janssen, M., & Rodríguez Bolívar, M. P. (2024). Identifying patterns and recommendations of and for sustainable open data initiatives: A benchmarking-driven analysis of open government data initiatives among European countries. Government Information Quarterly, 41(1): 101898. https://doi.org/10.1016/j.giq.2023.101898
Patrocinador
Regional Government of Andalusia, Spain (Research projects number P20_00314 and B-SEJ-556-UGR20).; Institutional support of the University of Pardubice and by European Social Fund via IT Academy programme, University of Tartu (Estonia)
Résumé
Open government and open (government) data are seen as tools to create new opportunities, eliminate or at least reduce information inequalities and improve public services. More than a decade of these efforts has provided much experience, practices, and perspectives to learn how to better deal with them. This paper focuses on benchmarking of open data initiatives over the years and attempts to identify patterns observed among European countries that could lead to disparities in the development, growth, and sustainability of open data ecosystems. To do this, we studied benchmarks and indices published over the last years (57 editions of 8 artifacts) and conducted a comparative case study of eight European countries, identifying patterns among them considering different potentially relevant contexts such as e-government, open government data, open data indices and rankings, and others relevant for the country under consideration. Using a Delphi method, we reached a consensus within a panel of experts and validated a final list of 94 patterns, including their frequency of occurrence among studied countries and their effects on the respective countries. Finally, we took a closer look at the developments in identified contexts over the years and defined 21 recommendations for more resilient and sustainable open government data initiatives and ecosystems and future steps in this area.
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