Modeling consent in the time of COVID-19.
| Title: | Modeling consent in the time of COVID-19. |
|---|---|
| Authors: | Knoppers BM; Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University.; Canada Research Chair in Law and Medicine, McGill University.; Beauvais MJS; Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University.; Joly Y; Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University.; Zawati MH; Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University.; Rousseau S; Department of Medicine, Division of Experimental Medicine, McGill University.; Chassé M; Department of Medicine, Université de Montréal.; Centre de recherche du Centre hospitalier, de l'Université de Montréal.; Mooser V; Canada Excellence Research Chair in Genomic Medicine, McGill University. |
| Source: | Journal of law and the biosciences [J Law Biosci] 2020 May 08; Vol. 7 (1), pp. lsaa020. Date of Electronic Publication: 2020 May 08 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101633120 Publication Model: eCollection Cited Medium: Print ISSN: 2053-9711 (Print) Linking ISSN: 20539711 NLM ISO Abbreviation: J Law Biosci Subsets: PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: Oxford : Oxford University Press, [2014]- |
| Abstract: | Effective responses to the COVID-19 pandemic require novel solutions for research and responsible data sharing. Biobanking presents itself as a key priority in furthering our understanding of COVID-19. In this article, we propose a tripartite approach to consent to create resources for research relating to COVID-19. The approach aims to link three levels of participation: COVID-19 patients, respiratory/infectious disease patients, and longitudinal study participants. We explore the potential approaches that can be taken to consent processes with these three participant groups. We furthermore describe an access model for both single-site and multi-site data and sample storage. Through dealing with these topics at a high level, the model may be adapted to local legal and ethical requirements while still pursuing its ultimate goal: the creation of a research infrastructure that supports transparent, strong, and open science.; (© The Author(s) 2020. Published by Oxford University Press on behalf of Duke University School of Law, Harvard Law School, Oxford University Press, and Stanford Law School.) |
| Grant Information: | United Kingdom WT_ Wellcome Trust |
| Contributed Indexing: | Keywords: biobanking; consent; data sharing; pandemic |
| Entry Date(s): | Date Created: 20200731 Latest Revision: 20210702 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC7239167 |
| DOI: | 10.1093/jlb/lsaa020 |
| PMID: | 32728465 |
| Database: | MEDLINE |
Journal Article