Reference : Transparency by Design in Data-Informed Research: a Collection of Information Design ...

	Document type :	Scientific journals : Article
	Discipline(s) :	Law, criminology & political science : Multidisciplinary, general & others Social & behavioral sciences, psychology : Multidisciplinary, general & others Engineering, computing & technology : Computer science Engineering, computing & technology : Multidisciplinary, general & others Arts & humanities : Multidisciplinary, general & others
	Focus Areas :	Law / European Law; Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/41864

Title :	Transparency by Design in Data-Informed Research: a Collection of Information Design Patterns
Language :	English
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) > >]
Publication date :	Jul-2020
Journal title :	Computer Law & Security Review
Publisher :	Elsevier
Volume :	37
Issue/season :	105402
Special issue title :	Legal and Ethical Challenges of Data Processing in the Research Field
Peer reviewed :	Yes
Audience :	International
Keywords :	[en] 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.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/41864
DOI :	10.1016/j.clsr.2020.105402
Other URL :	https://doi.org/10.1016/j.clsr.2020.105402
Mentions required by the publisher for OA :	This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 788039
Framework Programme / European Project :	H2020 ; 788039 - PANELFIT - Participatory Approaches to a New Ethical and Legal Framework for ICT

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