Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Thirtieth European Conference on Information Systems (ECIS 2022) |
| Publication status | Published - 2022 |
| Event | 30th European Conference on Information Systems (ECIS 2022): New Horizons in Digitally United Societies - Timisoara, Romania Duration: 18 Jun 2022 → 24 Jun 2022 |
Abstract
Sustainable Development Goals
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Proceedings of the Thirtieth European Conference on Information Systems (ECIS 2022). 2022. 1710.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Personal Data Protection Rules!
T2 - 30th European Conference on Information Systems (ECIS 2022)
AU - Gerlach, Jana
AU - Scheunert, Alexandra
AU - Breitner, Michael H.
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2022
Y1 - 2022
N2 - Privacy-friendly processing of personal data is proving to be increasingly challenging in today’s energy systems as the amount of data grows. Smart energy services provide value creation and co-creation by processing sensible user data collected from smart meters, smart home devices, storage systems, and renewable energy plants. To address this challenge, we analyze key topics and develop design requirements and design principles for privacy-friendly personal data processing in smart energy services. We identify these key topics through expert interviews, text-mining, and topic modelling techniques based on 149 publications. Following this, we derive our design requirements and principles and evaluate these with experts and an applicability check with three real-world smart energy services. Based on our results and findings, we establish a further research agenda consisting of five specific research directions.
AB - Privacy-friendly processing of personal data is proving to be increasingly challenging in today’s energy systems as the amount of data grows. Smart energy services provide value creation and co-creation by processing sensible user data collected from smart meters, smart home devices, storage systems, and renewable energy plants. To address this challenge, we analyze key topics and develop design requirements and design principles for privacy-friendly personal data processing in smart energy services. We identify these key topics through expert interviews, text-mining, and topic modelling techniques based on 149 publications. Following this, we derive our design requirements and principles and evaluate these with experts and an applicability check with three real-world smart energy services. Based on our results and findings, we establish a further research agenda consisting of five specific research directions.
M3 - Conference contribution
SN - 978-1-958200-02-5
BT - Proceedings of the Thirtieth European Conference on Information Systems (ECIS 2022)
Y2 - 18 June 2022 through 24 June 2022
ER -