Smart City Gnosys

Smart city article details

Title	Dimensions Of Data Quality In Smart Cities Datafication
ID_Doc	20400
Authors	Okafor C.C.; Ferrer-Conill R.; Sjøvaag H.
Year	2025
Published	Information Society
DOI	http://dx.doi.org/10.1080/01972243.2025.2523249
Abstract	Data quality facilitates data interoperability for optimal decision-making in smart cities. However, there are few studies on how technologists (e.g., data scientists), governance personnel (e.g., municipal workers), and third-party collaborators (e.g., smart city services vendors) assess data quality. In this article, we address this knowledge gap, using interviews (n = 10) with municipal workers, data scientists, and smart city service vendors, and data structure documents (n = 8) in a situated case, the Stavanger smart city in Norway. Our findings show that data quality has a vacuous meaning, enveloping the different articulations of data scientists, municipal workers, and services vendors in the assessment process. This generates friction that has a bearing on data interoperability. We, therefore, posit that assessment of data quality is ambiguous but not without value.
Author Keywords	Boundary work; data interoperability; data quality; datafication; friction; smart city

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