Reference : Transparency by Design in Data-Informed Research: a Collection of Information Design ...
Scientific journals : Article
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
Law / European Law; Security, Reliability and Trust
http://hdl.handle.net/10993/41864
Transparency by Design in Data-Informed Research: a Collection of Information Design Patterns
English
Rossi, Arianna mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC) >]
Lenzini, Gabriele mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
In press
Computer Law and Security Report
Elsevier
Legal and Ethical Challenges of Data Processing in the Research Field
Yes (verified by ORBilu)
International
0267-3649
United Kingdom
[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
[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.
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/41864

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