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Privacy impact assessments in the wild: A scoping review
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Privacy and Security (PriSec))ORCID iD: 0000-0001-9005-0543
Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Karlstad Business School (from 2013). (Privacy and Security (PriSec) Research Group)ORCID iD: 0000-0002-6509-3792
Unabhängiges Landeszentrum für Datenschutz Schleswig-Holstein, Germany.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Privacy and Security (PriSec) Research Group)ORCID iD: 0000-0002-6938-4466
2024 (English)In: Array, E-ISSN 2590-0056, Vol. 23, p. 1-20, article id 100356Article in journal (Refereed) Published
Abstract [en]

Privacy Impact Assessments (PIAs) offer a process for assessing the privacy impacts of a project or system. As a privacy engineering strategy, they are one of the main approaches to privacy by design, supporting the early identification of threats and controls. However, there is still a shortage of empirical evidence on their use and proven effectiveness in practice. To better understand the current literature and research, this paper provides a comprehensive Scoping Review (ScR) on the topic of PIAs “in the wild,” following the well-established Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. This ScR includes 45 studies, providing an extensive synthesis of the existing body of knowledge, classifying types of research and publications, appraising the methodological quality of primary research, and summarising the positive and negative aspects of PIAs in practice, as reported by those studies. This ScR also identifies significant research gaps (e.g., evidence gaps from contradictory results and methodological gaps from research design deficiencies), future research pathways, and implications for researchers, practitioners, and policymakers developing and using PIA frameworks. As we conclude, there is still a significant need for more primary research on the topic, both qualitative and quantitative. A critical appraisal of qualitative studies revealed deficiencies in the methodological quality, and only four quantitative studies were identified, suggesting that current primary research remains incipient. Nonetheless, PIAs can be regarded as a prominent sub-area in the broader field of empirical privacy engineering, in which further scientific research to support existing practices is needed.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 23, p. 1-20, article id 100356
Keywords [en]
Privacy, Data protection, Privacy impact assessment, Data protection impact assessment, Privacy by design, Scoping review
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-100977DOI: 10.1016/j.array.2024.100356ISI: 001270263800001Scopus ID: 2-s2.0-85198335026OAI: oai:DiVA.org:kau-100977DiVA, id: diva2:1884224
Projects
Digital Health Innovation (DHINO) ProjectDigitalWell Arena Project
Funder
Region Värmland, RUN/220266Vinnova, 2018-03025Knowledge FoundationKnut and Alice Wallenberg FoundationAvailable from: 2024-07-15 Created: 2024-07-15 Last updated: 2025-10-16Bibliographically approved

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Iwaya, Leonardo HAlaqra, Ala SarahFischer-Hübner, Simone

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