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 languageEnglish
Title of host publicationIOT'18
Subtitle of host publicationProceedings of the 8th International Conference on the Internet of Things
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Print)978-1-4503-6564-2
Publication statusPublished - 2018
Event8th International Conference on the Internet of Things, IoT 2018 - Santa Barbara, United States
Duration: 15 Oct 201818 Oct 2018


Conference8th International Conference on the Internet of Things, IoT 2018
CountryUnited States
CitySanta Barbara

    Research areas

  • Compliance, Data-Centric Research, GDPR, IoT, Personal Databox

ID: 47580322