Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study

Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Mendez, Florian Matthes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Background: Modern privacy regulations, such as the General Data Protection Regulation (GDPR), address privacy in software systems in a technologically agnostic way by mentioning general "technical measures"for data privacy compliance rather than dictating how these should be implemented. An understanding of the concept of technical measures and how exactly these can be handled in practice, however, is not trivial due to its interdisciplinary nature and the necessary technical-legal interactions. Aims: We aim to investigate how the concept of technical measures for data privacy compliance is understood in practice as well as the technical-legal interaction intrinsic to the process of implementing those technical measures. Methods: We follow a research design that is 1) exploratory in nature, 2) qualitative, and 3) interview-based, with 16 selected privacy professionals in the technical and legal domains. Results: Our results suggest that there is no clear mutual understanding and commonly accepted approach to handling technical measures. Both technical and legal roles are involved in the implementation of such measures. While they still often operate in separate spheres, a predominant opinion amongst the interviewees is to promote more interdisciplinary collaboration. Conclusions: Our empirical findings confirm the need for better interaction between legal and engineering teams when implementing technical measures for data privacy. We posit that interdisciplinary collaboration is paramount to a more complete understanding of technical measures, which currently lacks a mutually accepted notion. Yet, as strongly suggested by our results, there is still a lack of systematic approaches to such interaction. Therefore, the results strengthen our confidence in the need for further investigations into the technical-legal dynamic of data privacy compliance.

Original languageEnglish
Title of host publicationProceedings of the 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2022
EditorsFernanda Madeiral, Casper Lassenius, Casper Lassenius, Tayana Conte, Tomi Mannisto
PublisherIEEE Computer Society
Pages261-271
Number of pages11
ISBN (Electronic)9781450394277
DOIs
StatePublished - 19 Sep 2022
Event16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2022 - Helsinki, Finland
Duration: 18 Sep 202223 Sep 2022

Publication series

NameInternational Symposium on Empirical Software Engineering and Measurement
ISSN (Print)1949-3770
ISSN (Electronic)1949-3789

Conference

Conference16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2022
Country/TerritoryFinland
CityHelsinki
Period18/09/2223/09/22

Keywords

  • GDPR
  • data privacy
  • privacy compliance
  • technical measures

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