Trusted and GDPR-Compliant Research with the Internet of Things

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Trusted and GDPR-Compliant Research with the Internet of Things

Conference Paper (2018)

Author(s)

Jacky Bourgeois (TU Delft - Industrial Design Engineering)

Gerd Kortuem (TU Delft - Industrial Design Engineering)

Fahim Kawsar (Nokia Bell Labs)

Research Group

Knowledge and Intelligence Design

GDPR IoT Compliance Data-Centric Research Personal Databox

DOI related publication

https://doi.org/10.1145/3277593.3277604 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:ce524b9a-404b-4c19-9118-8b17fc7d2f32

More Info

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Publication Year

2018

Language

English

Research Group

Knowledge and Intelligence Design

Article number

a13

Pages (from-to)

1-8

ISBN (print)

978-1-4503-6564-2

Event

8th International Conference on the Internet of Things, IoT 2018 (2018-10-15 - 2018-10-18), Santa Barbara, United States

Downloads counter

122

Abstract

The Internet of Things has become a key enabling technology for data-intensive research across universities and private organisations alike. However, the recent introduction of the General Data Protection Regulation (GDPR) in Europe has raised concerns that the GDPR might hamper data-intensive research. In this paper, we address the question of how to enable ethical and compliant research with personal IoT data in an academic environment. We identify three novel trust principles for GDPR compliant use of personal IoT data in science and research (private-by-default, analytics transparency and Accountable analytics) and propose an architecture for a trusted IoT research infrastructure.