Trusted and GDPR-Compliant Research with the Internet of Things

Jacky Bourgeois; Gerd Kortuem; Fahim Kawsar

doi:10.1145/3277593.3277604

Trusted and GDPR-Compliant Research with the Internet of Things

Jacky Bourgeois, Gerd Kortuem, Fahim Kawsar

Internet of Things

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

6 Citations (Scopus)

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.

Original language	English
Title of host publication	IOT'18
Subtitle of host publication	Proceedings of the 8th International Conference on the Internet of Things
Place of Publication	New York, NY
Publisher	ACM
Pages	1-8
Number of pages	8
ISBN (Print)	978-1-4503-6564-2
DOIs	https://doi.org/10.1145/3277593.3277604
Publication status	Published - 2018
Event	8th International Conference on the Internet of Things, IoT 2018 - Santa Barbara, United States Duration: 15 Oct 2018 → 18 Oct 2018

Conference

Conference	8th International Conference on the Internet of Things, IoT 2018
Country/Territory	United States
City	Santa Barbara
Period	15/10/18 → 18/10/18

Keywords

Compliance
Data-Centric Research
GDPR
IoT
Personal Databox

Access to Document

10.1145/3277593.3277604

Cite this

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title = "Trusted and GDPR-Compliant Research with the Internet of Things",

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.",

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Bourgeois, J , Kortuem, G & Kawsar, F 2018, Trusted and GDPR-Compliant Research with the Internet of Things. in IOT'18 : Proceedings of the 8th International Conference on the Internet of Things., a13, ACM, New York, NY, pp. 1-8, 8th International Conference on the Internet of Things, IoT 2018, Santa Barbara, United States, 15/10/18. https://doi.org/10.1145/3277593.3277604

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AU - Kortuem, Gerd

AU - Kawsar, Fahim

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N2 - 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.

AB - 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.

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KW - Data-Centric Research

KW - GDPR

KW - IoT

KW - Personal Databox

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T2 - 8th International Conference on the Internet of Things, IoT 2018

Y2 - 15 October 2018 through 18 October 2018

ER -

Trusted and GDPR-Compliant Research with the Internet of Things

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