Regulatory Challenges of Data Mining Practices: The Case of the Never-ending Lifecycles of 'Health Data'

被引:12
作者
Comande, Giovanni [1 ]
Schneider, Giulia [2 ]
机构
[1] St Anna Sch Adv Studies, Pisa, Italy
[2] Univ Bocconi, Milan, Italy
关键词
health data; sensitive data; data mining; clusterisation; General Data Protection Regulation (GDPR); transparency;
D O I
10.1163/15718093-12520368
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
Health data are the most special of the 'special categories' of data under Art. 9 of the General Data Protection Regulation (GDPR). The same Art. 9 GDPR prohibits, with broad exceptions, the processing of 'data concerning health'. Our thesis is that, through data mining technologies, health data have progressively undergone a process of distancing from the healthcare sphere as far as the generation, the processing and the uses are concerned. The case study aims thus to test the endurance of the 'special category' of health data in the face of data mining technologies and the never-ending lifecycles of health data they feed. At a more general level of analysis, the case of health data shows that data mining techniques challenge core data protection notions, such as the distinction between sensitive and non-sensitive personal data, requiring a shift in terms of systemic perspectives that the GDPR only partly addresses.
引用
收藏
页码:284 / 307
页数:24
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