Drivers of Dissatisfaction with an Open Government Data Portal: A Critical Incident Technique Approach

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Abstract

Open government data (OGD) has emerged as a crucial aspect of digital transformation strategies, prompting many governments to establish national OGD portals to facilitate access to large amounts of public sector datasets. However, despite the OGD portals’ goal of serving as intermediaries between OGD producers and OGD users, they have faced numerous criticisms for their low use and failure to adequately meet users’ needs. The lack of consensus within the OGD community on the sources of dissatisfaction with the OGD portals and their negative impact on their use warrants a detailed examination of users’ dissatisfying experiences. Taking a user-centred perspective, I adopt a critical incident technique (CIT) approach to identify the drivers and sources of dissatisfaction with a national OGD portal. Based on my analysis, a descriptive model is proposed to help to comprehend the interrelations between three sources of dissatisfaction with the OGD portal and ten respective drivers: OGD production (i.e., development of high-quality datasets, completeness of the metadata), OGD distribution (i.e., accessibility of the datasets, organisation of the datasets, centralisation of the datasets, search engine, interface, visualisation), and OGD use (i.e., skills and knowledge, and added value).

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APA

Francey, A. (2023). Drivers of Dissatisfaction with an Open Government Data Portal: A Critical Incident Technique Approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 14130 LNCS, pp. 279–294). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-41138-0_18

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