An overview of data protection strategies for individual-level geocoded data

Responding to growing needs for small-scale geographic information in various research areas, data-collecting institutions are increasingly geocoding individual-level data. However, due to confidentiality concerns, external researchers typically have very limited access to these data (if at all). A growing body of literature on data protection strategies for geocoded data attempts to address these limitations by finding optimal solutions for the trade-off between privacy protection and utility preservation when broadening the access to this valuable source of information. The purpose of this paper is to systematically collect and review the literature in the field and to offer a classification of existing methods. It also includes discussions on various strategies for estimating the utility and the remaining risk of disclosure for the protected data.

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Publication Details

Journal
Statistics Surveys
Published
2025-01-01
DOI
https://doi.org/10.1214/25-ss151
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00

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article

An overview of data protection strategies for individual-level geocoded data

Jörg Drechsler, Maike Steffen, Konstantin Körner
Statistics Surveys
Privacy-Preserving Technologies in Data
article

An overview of data protection strategies for individual-level geocoded data

Jörg Drechsler, Maike Steffen, Konstantin Körner
article en

Abstract

Responding to growing needs for small-scale geographic information in various research areas, data-collecting institutions are increasingly geocoding individual-level data. However, due to confidentiality concerns, external researchers typically have very limited access to these data (if at all). A growing body of literature on data protection strategies for geocoded data attempts to address these limitations by finding optimal solutions for the trade-off between privacy protection and utility preservation when broadening the access to this valuable source of information. The purpose of this paper is to systematically collect and review the literature in the field and to offer a classification of existing methods. It also includes discussions on various strategies for estimating the utility and the remaining risk of disclosure for the protected data.

Statistics SurveysVol. 19(none)
Institut für Arbeitsmarkt und Berufsforschung (DE), Employment Agency (BG), Deutsche Bundesbank (DE)
European Commission
Climate action
Openalex Percentile: Top 95%
Privacy-Preserving Technologies in Data
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