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Modeling consent in the time of COVID-19.
Knoppers, Bartha Maria; Beauvais, Michael J S; Joly, Yann; Zawati, Man H; Rousseau, Simon; Chassé, Michaël; Mooser, Vincent.
  • Knoppers BM; Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University.
  • Beauvais MJS; Canada Research Chair in Law and 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; Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University.
  • Chassé M; Department of Medicine, Division of Experimental Medicine, McGill University.
  • Mooser V; Department of Medicine, Université de Montréal.
J Law Biosci ; 7(1): lsaa020, 2020.
Article in English | MEDLINE | ID: covidwho-690685
Semantic information from SemMedBD (by NLM)
1. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
2. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Randomized controlled trials Language: English Journal: J Law Biosci Year: 2020 Document Type: Article

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Randomized controlled trials Language: English Journal: J Law Biosci Year: 2020 Document Type: Article