Including Digital Sequence Data in the Nagoya Protocol Can Promote Data Sharing.

Biodiversity Information Dissemination / legislation & jurisprudence Intersectoral Collaboration Molecular Sequence Data
Nagoya Protocol benefit sharing biological data data access data sharing digital sequence information

Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
02 2021
Historique:
received: 03 02 2020
revised: 09 06 2020
accepted: 15 06 2020
pubmed: 14 7 2020
medline: 23 9 2021
entrez: 14 7 2020
Statut: ppublish

Résumé

The Nagoya Protocol (NP), a legal framework under the Convention on Biological Diversity (CBD), formalises fair and equitable sharing of benefits arising from biological diversity. It encompasses biological samples and associated indigenous knowledge, with equitable return of benefits to those providing samples. Recent proposals that the use of digital sequence information (DSI) derived from samples should also require benefit-sharing under the NP have raised concerns that this might hamper research progress. Here, we propose that formalised benefit-sharing for biological data use can increase willingness to participate in research and share data, by ensuring equitable collaboration between sample providers and researchers, and preventing exploitative practices. Three case studies demonstrate how equitable benefit-sharing agreements might build long-term collaborations, furthering research for global benefits.

Identifiants

DOI: 10.1016/j.tibtech.2020.06.009 PMID: 32654776
pubmed: 32654776
pii: S0167-7799(20)30173-6
doi: 10.1016/j.tibtech.2020.06.009
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

116-125

Subventions

Organisme : Wellcome Trust
ID : 203135
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Jon Ambler (J)

Computational Biology Division, University of Cape Town, Cape Town, South Africa; Wellcome Centre for Infectious Disease Research in Africa, University of Cape Town, Cape Town, South Africa.

Alpha Ahmadou Diallo (AA)

Ministry of Health (Guinea) and University of Conakry, Conakry, Guinea.

Peter K Dearden (PK)

Genomics Aotearoa and Biochemistry Department, University of Otago, Dunedin, New Zealand.

Phil Wilcox (P)

Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand.

Maui Hudson (M)

Faculty of Māori and Indigenous Studies, University of Waikato, Hamilton, New Zealand.

Nicki Tiffin (N)

Computational Biology Division, University of Cape Town, Cape Town, South Africa; Wellcome Centre for Infectious Disease Research in Africa, University of Cape Town, Cape Town, South Africa; Centre for Infectious Disease Epidemiology Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa. Electronic address: nicki.tiffin@uct.ac.za.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Biodiversité › Including Digital Sequence Data in the Nagoya...
questionsmedicales.fr › Sciences de l'information › Communication › Diffusion de l'information › Including Digital Sequence Data in the Nagoya...
questionsmedicales.fr › Administration des services de santé › Collaboration intersectorielle › Including Digital Sequence Data in the Nagoya...
questionsmedicales.fr › Sciences de l'information › Sources d'information › Services d'information › Documentation › Données de séquences moléculaires › Including Digital Sequence Data in the Nagoya...