4.4 Article

Regulating big data. The guidelines of the Council of Europe in the context of the European data protection framework

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COMPUTER LAW & SECURITY REVIEW
卷 33, 期 5, 页码 584-602

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ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.clsr.2017.05.011

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Big data; Data protection; Council of Europe; Risk assessment; Data protection by design; Consent; Data anonymization; Open data; Algorithms

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In January 2017 the Consultative Committee of Convention 108 adopted its Guidelines on the Protection of Individuals with Regard to the Processing of Personal Data in a World of Big Data. These are the first guidelines on data protection provided by an international body which specifically address the issues surrounding big data applications. This article examines the main provisions of these Guidelines and highlights the approach adopted by the Consultative Committee, which contextualises the traditional principles of data protection in the big data scenario and also takes into account the challenges of the big data paradigm. The analysis of the different provisions adopted focuses primarily on the core of the Guidelines namely the risk assessment procedure. Moreover, the article discusses the novel solutions provided by the Guidelines with regard to the data subject's informed consent, the by-design approach, anonymization, and the role of the human factor in big data-supported decisions. This critical analysis of the Guidelines introduces a broader reflection on the divergent approaches of the Council of Europe and the European Union to regulating data processing. Where the principle-based model of the Council of Europe differs from the approach adopted by the EU legislator in the detailed Regulation (EU) 2016/679. In the light of this, the provisions of the Guidelines and their attempt to address the major challenges of the new big data paradigm set the stage for concluding remarks about the most suitable regulatory model to deal with the different issues posed by the development of technology. (C) 2017 Alessandro Mantelero. Published by Elsevier Ltd. All rights reserved.

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