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International Data Privacy Law is a peer-reviewed journal published by Oxford University Press, covering Privacy, Security, and Data Protection, European Criminal Justice and Data Protection, Digitalization, Law, and Regulation.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', International Data Privacy Law, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — International Data Privacy Law has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Privacy, Security, and Data Protection European Criminal Justice and Data Protection Digitalization, Law, and Regulation Privacy-Preserving Technologies in Data Freedom of Expression and Defamation |
| ISSN | 2044-3994 |
| Citation impact (2-yr) | 0.96 |
| h-index | 48 |
| i10-index | 171 |
| Total citations | 9,016 |
| Article processing charge | $4,238 |
| Top institutions publishing here | Vrije Universiteit Brussel |
| Journal website | idpl.oxfordjournals.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In recent months, researchers,1 government bodies,2 and the media3 have claimed that a ‘right to explanation’ of decisions made by automated and artificially intelligent algorithmic systems is legally mandated by the forthcoming European Union General Data Protection Regulation4 2016/679 (GDPR). The right to explanation is viewed as a promising mechanism in the broader pursuit by…
•<br/>The trouble with European data protection law, as with Alfred Hitchcock's Harry, is that it is dead. The current legal reform will fail to revive it, since its three main objectives are based on fallacies. <br/><br/>•<br/>The first fallacy is the delusion that data protection law can give individuals control over their data, which it cannot.…
... In the data-driven economy, the importance of algorithms has grown exponentially while artificial Intelligence applied to customer data management remains problematic for several reasons. Automated decision-making based on complex algorithms can not only determine the acceptance of a mortgage, the price of an insurance policy,1 but can also lead to ‘subtler’ issues. For instance,…
Big Data' refers to novel ways in which organizations, including government and businesses, combine diverse digital datasets and then use statistics and other data mining techniques to extract from them both hidden information and surprising correlations. While Big Data promises significant economic and social benefits, it also raises serious privacy concerns. In particular, Big Data…
In this article, we examine the concept of non-personal data from a law and computer science perspective. The delineation between personal data and non-personal data is of paramount importance to determine the GDPR’s scope of application. This exercise is, however, fraught with difficulty, also when it comes to de-personalised data – that is to say…
