The UK Reproducibility Network: A progress report.

Methodology Open research Reproducibility Research improvement

Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
01 09 2023
Historique:
received: 02 05 2023
revised: 07 08 2023
accepted: 11 08 2023
medline: 6 9 2023
pubmed: 17 8 2023
entrez: 16 8 2023
Statut: ppublish

Résumé

There is growing awareness that the ways in which academic research is conducted could be improved. A number of exciting innovations are emerging, alongside a broader agenda that includes a growing emphasis on open research. This short article outlines the rationale, progress and plans of the UK Reproducibility Network, which is one of a growing number of similar initiatives internationally that promote more rigorous and transparent research.

Identifiants

pubmed: 37586662
pii: S0165-0270(23)00168-1
doi: 10.1016/j.jneumeth.2023.109949
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109949

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jess Butler (J)

Institute of Applied Health Sciences, University of Aberdeen, King's College, Aberdeen AB24 3FX, United Kingdom. Electronic address: jessicabutler@abdn.ac.uk.

Neil Jacobs (N)

School of Psychological Science, University of Bristol, 12a, Priory Road, Bristol BS8 1TU, United Kingdom. Electronic address: Neil.Jacobs@bristol.ac.uk.

Malcolm Macleod (M)

Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, United Kingdom. Electronic address: Malcolm.Macleod@ed.ac.uk.

Marcus Munafò (M)

School of Psychological Science, University of Bristol, 12a, Priory Road, Bristol BS8 1TU, United Kingdom. Electronic address: Marcus.Munafo@bristol.ac.uk.

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Classifications MeSH