Wider Research Applications of Dynamic Consent - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Chapitre D'ouvrage Année : 2019

Wider Research Applications of Dynamic Consent

Résumé

As research processes change due to technological developments in how data is collected, stored and used, so must consent methods. Dynamic consent is an online mechanism allowing research participants to revisit consent decisions they have made about how their data is used. Emerging from bio-banking where research data is derived from biological samples, dynamic consent has been designed to address problems with participant engagement and oversight. Through discussion that emerged during a workshop run at the IFIP 2018 Summer School, this paper explores wider research problems could be addressed by dynamic consent. Emergent themes of research design, expectation management and trust suggested overarching research problems which could be addressed with a longer term view of how research data is used, even if that use is unknown at the point of collection. We posit that the existing model of dynamic consent offers a practical research approach outside of bio-banking.
Fichier principal
Vignette du fichier
479119_1_En_8_Chapter.pdf (129.47 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02274548 , version 1 (30-08-2019)

Licence

Paternité

Identifiants

Citer

Arianna Schuler Scott, Michael Goldsmith, Harriet Teare. Wider Research Applications of Dynamic Consent. Eleni Kosta; Jo Pierson; Daniel Slamanig; Simone Fischer-Hübner; Stephan Krenn. Privacy and Identity Management. Fairness, Accountability, and Transparency in the Age of Big Data : 13th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Vienna, Austria, August 20-24, 2018, Revised Selected Papers, AICT-547, Springer International Publishing, pp.114-120, 2019, IFIP Advances in Information and Communication Technology, 978-3-030-16743-1. ⟨10.1007/978-3-030-16744-8_8⟩. ⟨hal-02274548⟩
81 Consultations
33 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More