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Smart data, information geographies and intelligent data services

Longley, Paul; Chen, Min; (2025) Smart data, information geographies and intelligent data services. Information Geography , 1 (1) , Article 100013. 10.1016/j.infgeo.2025.100013. Green open access

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Abstract

We review the supplementation and partial replacement of survey-driven investigations to today's dynamic, geographically-enabled data ecosystems and the role of smart data within them. This raises critical challenges in the smart data paradigm, arising from data ownership, fragmented digital personas, coverage biases and algorithmic risks. In response, we propose a work-flow model for “smart data services”, prioritizing academic sector-wide licensing agreements, cross-source data linkage and assessment of data provenance. This also requires use of trusted research environments and standardized preprocessing procedures, culminating in the production and delivery of “research-ready data”. We describe how such data can mitigate ecological fallacies, bridging theoretical and practical advances in information geography and leveraging smart data to enhance social science's relevance and inclusivity in the digital age.

Type: Article
Title: Smart data, information geographies and intelligent data services
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.infgeo.2025.100013
Publisher version: https://doi.org/10.1016/j.infgeo.2025.100013
Language: English
Additional information: © 2025 The Author(s). Published by Elsevier B.V. on behalf of Nanjing Normal University. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
Keywords: Smart data, Research ready data, Data services
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/10216464
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