Enabling the new economic actor: personal data regulation and the digital economy

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Crabtree, Andy (2016) Enabling the new economic actor: personal data regulation and the digital economy. In: IEEE 2nd Workshop on Legal and Technical Issues in Cloud Computing and Cloud-Supported Internet of Things, 4-8 April 2016, Berlin, Germany.

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Abstract

This paper offers a sociological perspective on data protection regulation and its relevance to the design of digital technologies that exploit or ‘trade in’ personal data. From this perspective, proposed data protection regulations in Europe and the US seek to create a new economic actor – the consumer as personal data trader – through new legal frameworks that shift the locus of agency and control in data processing towards the individual. The sociological perspective on proposed data regulation recognises the reflexive relationship between law and the social order, and the commensurate need to balance the demand for compliance with the design of tools and resources that enable this new economic actor; tools that provide both data protection to the individual and allow the individual to exploit personal data to become an active player in the emerging data economy.

Item Type: Conference or Workshop Item (Paper)
Additional Information: doi:10.1109/IC2EW.2016.18. Published in: 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW). IEEE, 2016, pp. 124-129. ISBN 9781509019618. © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: sociology, personal data protection, individual control principle, local control recommendation, utility model, human data interaction
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Crabtree, Andy
Date Deposited: 22 Aug 2016 13:41
Last Modified: 08 May 2020 12:15
URI: https://eprints.nottingham.ac.uk/id/eprint/35940

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