Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43117
Title: Directions for Enhancing the Use of Personal Data Minimization Technology in Public Organizations
Authors: S. Bargh, Mortaza
VLIETINCK, Hanne 
Amighi, Afshin
Omar, Ahmad
Yang, Shengyun
DANIELS, Nicky 
Choenni, Sunil
Issue Date: 2024
Publisher: Association for Computing Machinery
Source: Hsin-Chung Liao,David Duenas Cid,Marie Anne Macadar,Flavia Bernardini (Ed.). DGO '24: Proceedings of the 25th Annual International Conference on Digital Government Research, Association for Computing Machinery, p. 232 -240
Abstract: A core principle of privacy protection is to minimize the amount of personal data in data sets to the level needed for the intended usage. The rapid growth of data and data-driven applications demands for using efficient software tools to minimize personal data to the needed level. However, applying Personal Data Minimization (PDM) tools into practice and embedding PDM technology within organizations are challenging tasks. These challenges stem from PDM complexity, context-dependency, multidisciplinary nature, as well as liability and accountability burdens. This paper aims at enhancing the use of PDM technology within public organizations. To realize this enhancement, we identify three directions-namely, improving usability (efficiency and ease of use), improving trust in PDM tools, and identifying the other influential PDM technology adoption factors. These directions are based amongst others on a literature study and expert interviews. We conducted a questionnaire-based survey among academia and research institutions to investigate the need for PDM technology and the relevancy of the directions empirically. Based on the insights gained, the paper suggests several solution directions and/or avenues for future research. Specifically, we highlight the need for developing customized PDM tools and usage instructions for these tools in different data-sharing settings to facilitate the usability of PDM technology. For establishing trust in PDM technology, we highlight the need for employing various mechanisms such as certification, standardization, and open-source software tools. Thirdly, we call * The corresponding author. for investigating all factors that are influential in PDM technology adoption to set the usability and trust factors in perspective. CCS CONCEPTS • Security and privacy → Human and societal aspects of security and privacy; Privacy protections; Human and societal aspects of security and privacy; Usability in security and privacy.
Notes: Bargh, M (corresponding author), Dutch Minist Justice & Secur, Res & Data Ctr, Delft, Netherlands.
m.shoae.bargh@wodc.nl; hanne.vlietinck@uhasselt.be; a.amighi@hr.nl;
a.omar@hr.nl; s.yang@hr.nl; nicky.daniels@uhasselt.be; r.choenni@wodc.nl
Keywords: Personal data minimization;privacy protection;public organiza- tions;research directions;statistical disclosure control;technology adoption
Document URI: http://hdl.handle.net/1942/43117
ISBN: 9798400709883
DOI: 10.1145/3657054.3657084
ISI #: 001238979900023
Rights: 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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