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

Martin Lnenicka, Anastasija Nikiforova, Mariusz Luterek, Petar Milic, Daniel Rudmark, Sebastian Neumaier, Caterina Santoro, Cesar Casiano Flores, Marijn Janssen and Manuel Pedro Rodríguez Bolívar
Additional contact information
Manuel Pedro Rodríguez Bolívar: University of Granada

No v7msn_v1, SocArXiv from Center for Open Science

Abstract: 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.

Date: 2023-12-01
New Economics Papers: this item is included in nep-eec
References: Add references at CitEc
Citations:

Downloads: (external link)
https://osf.io/download/6569d8c602fa96050f7d28ef/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:v7msn_v1

DOI: 10.31219/osf.io/v7msn_v1

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().