Article (Scientific journals)
Transparency by Design in Data-Informed Research: a Collection of Information Design Patterns
Rossi, Arianna; Lenzini, Gabriele
2020In Computer Law & Security Review, 37 (105402)
Peer reviewed
 

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Keywords :
Transparency; GDPR; Data protection; privacy; privacy by design; information duties; informed consent; privacy policies; research; design patterns; legal design; information design; transparency enhancing technologies
Abstract :
[en] Oftentimes information disclosures describing personal data-gathering research activities are so poorly designed that participants fail to be informed and blindly agree to the terms, without grasping the rights they can exercise and the risks derived from their cooperation. To respond to the challenge, this article presents a series of operational strategies for transparent communication in line with legal-ethical requirements. These "transparency-enhancing design patterns" can be implemented by data controllers/researchers to maximize the clarity, navigability, and noticeability of the information provided and ultimately empower data subjects/research subjects to appreciate and determine the permissible use of their data.
Disciplines :
Social & behavioral sciences, psychology: Multidisciplinary, general & others
Arts & humanities: Multidisciplinary, general & others
Engineering, computing & technology: Multidisciplinary, general & others
Computer science
Law, criminology & political science: Multidisciplinary, general & others
Author, co-author :
Rossi, Arianna ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Lenzini, Gabriele ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Transparency by Design in Data-Informed Research: a Collection of Information Design Patterns
Publication date :
July 2020
Journal title :
Computer Law & Security Review
Publisher :
Elsevier
Special issue title :
Legal and Ethical Challenges of Data Processing in the Research Field
Volume :
37
Issue :
105402
Peer reviewed :
Peer reviewed
Focus Area :
Law / European Law
Security, Reliability and Trust
European Projects :
H2020 - 788039 - PANELFIT - Participatory Approaches to a New Ethical and Legal Framework for ICT
Funders :
CE - Commission Européenne [BE]
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