The DOI matches its Crossref record.
The right to data portability in the GDPR: Towards user-centric interoperability of digital services
Open accessAbstract
The right to data portability is one of the most important novelties within the EU General Data Protection Regulation, both in terms of warranting control rights to data subjects and in terms of being found at the intersection between data protection and other fields of law (competition law, intellectual property, consumer protection, etc.). It constitutes, thus, a valuable case of development and diffusion of effective user-centric privacy enhancing technologies and a first tool to allow individuals to enjoy the immaterial wealth of their personal data in the data economy. Indeed, a free portability of personal data from one controller to another can be a strong tool for data subjects in order to foster competition of digital services and interoperability of platforms and in order to enhance controllership of individuals on their own data. However, the adopted formulation of the right to data portability in the GDPR could benefit from further clarification: several interpretations are possible, particularly with regard to the object of the right and its interrelation with other rights, potentially leading to additional challenges within its technical implementation. The aim of this article is to propose a first systematic interpretation of this new right, by suggesting a pragmatic and extensive approach, particularly taking advantage as much as possible of the interrelationship that this new legal provision can have with regard to the Digital Single Market and the fundamental rights of digital users. In sum, the right to data portability can be approximated under two different perspectives: the minimalist approach (the adieu scenario) and the empowering approach (the fusing scenario), which the authors consider highly preferable.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Practical ethics for building learning analytics
Kitto, K., & Knight, S. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12868 · Cited by 139
A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle
Shahriar, S., Allana, S., Hazratifard, S. M., & Dara, R. (2023) · IEEE Access · doi:10.1109/access.2023.3287195 · Cited by 114
Open Humans: a platform for participant-centered research and personal data exploration
Greshake Tzovaras, B., Angrist, M., Arvai, K., Dulaney, M., Estrada-Galiñanes, V., Gunderson, B., Head, T., Lewis, D., Nov, O., Shaer, O., et al. (2019) · GigaScience · doi:10.1093/gigascience/giz076 · Cited by 56
Wong, J., & Henderson, T. (2019) · International Data Privacy Law · doi:10.1093/idpl/ipz008 · Cited by 51
Reputation portability – quo vadis?
Hesse, M., & Teubner, T. (2020) · Electronic Markets · doi:10.1007/s12525-019-00367-6 · Cited by 39
Metadata
- Authors
- De Hert, P., Papakonstantinou, V., Malgieri, G., Beslay, L., & Sanchez, I.
- Venue
- Computer Law & Security Review
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 34
- Issue
- 2
- Pages
- 193-203
- ISSN
- 2212-473X (ISSN-L)
- OpenAlex
- W2768481906
- Cited by
- 262
- References
- 0
- FWCI
- 171.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The right to data portability in the GDPR: Towards user-centric interoperability of digital services. https://app.cochat.ai/papers/10.1016/j.clsr.2017.10.003
- The paper
- De Hert, P., Papakonstantinou, V., Malgieri, G., Beslay, L., & Sanchez, I. (2018). The right to data portability in the GDPR: Towards user-centric interoperability of digital services. Computer Law & Security Review. https://doi.org/10.1016/j.clsr.2017.10.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.