on the protection of natural persons with regard to the processing of personal data and on the free movement of personal data, and repealing Directive 95/46/EC (General Data Protection Regulation) (2016) OJ L119/1. Art 4(1) GDPR defines personal data. Heleen Janssen et al. Á Decentralized data processing
Personal information management systems (PIMS) aka personal data stores (PDSs) represent an emerging class of technology that seeks to empower individuals regarding their data. Presented as an alternative to current ' centralised' data processing approaches, whereby user data is (rather opaquely) collected and processed by organisations, PDSs provide users with technical mechanisms for aggregating and managing their own data, determining when and with whom their data is shared, and the computation that may occur over that data. Though arguments for decentralisation may be appealing, there are questions regarding the extent to which PDSs actually address data processing concerns. This paper explores these questions from the perspective of PDS users. Specifically, we focus on data protection, including how PDSs relate to rights and the legal bases for processing, as well as how PDSs affect the information asymmetries and surveillance practices inherent online. We show that, despite the purported benefits of PDSs, many of the systemic issues of online/data ecosystems remain.
The technological infrastructures enabling the collection, processing, and trading of data have fuelled a rapid innovation of data governance models. We differentiate between macro, meso, and micro level models, which correspond to major political blocks; societal-, industry-, or community level systems, and individual approaches, respectively. We focus on meso-level models, which coalesce around: (1) organisations prioritising their own interests over interests of other stakeholders; (2) organisations offering technological and legal tools aiming to empower individuals; (3) community-based data intermediaries fostering collective rights and interests. In this article we assess these meso-level models, and discuss their interaction with the macro-level legal frameworks that have evolved in the US, the EU, and China. The legal landscape has largely remained inconsistent and fragmented, with enforcement struggling to keep up with the latest developments. We argue, first, that the success of meso-logics is largely defined by global economic competition, and, second, that these meso-logics may potentially put the EU's macrolevel framework with its mixed internal market and fundamental rights-oriented model under pressure. We conclude that, given the relative absence of a strong macro level-framework and an intensive competition of governance models at meso-level, it may be challenging to avoid compromises to the European macro framework. This paper is part of Governing "European values" inside data flows, a special issue of Internet Policy Review guest-edited by Kristina Irion,
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