Ten simple rules for implementing open and reproducible research practices after attending a training course
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Published:2023-01-05
Issue:1
Volume:19
Page:e1010750
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ISSN:1553-7358
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Container-title:PLOS Computational Biology
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language:en
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Short-container-title:PLoS Comput Biol
Author:
Heise VerenaORCID, Holman ConstanceORCID, Lo HungORCID, Lyras Ekaterini MariaORCID, Adkins Mark ChristopherORCID, Aquino Maria Raisa JessicaORCID, Bougioukas Konstantinos I.ORCID, Bray Katherine O.ORCID, Gajos MartynaORCID, Guo XuanzongORCID, Hartling Corinna, Huerta-Gutierrez RodrigoORCID, Jindrová MiroslavaORCID, Kenney Joanne P. M.ORCID, Kępińska Adrianna P.ORCID, Kneller LauraORCID, Lopez-Rodriguez Elena, Mühlensiepen FelixORCID, Richards Angela, Richards GarethORCID, Siebert MaximilianORCID, Smith James A.ORCID, Smith NatalieORCID, Stransky NicolaiORCID, Tarvainen SirpaORCID, Valdes Daniela SofiaORCID, Warrington Kayleigh L.ORCID, Wilpert Nina-MariaORCID, Witkowska DisaORCID, Zaneva MirelaORCID, Zanker JeanetteORCID, Weissgerber Tracey L.ORCID
Abstract
Open, reproducible, and replicable research practices are a fundamental part of science. Training is often organized on a grassroots level, offered by early career researchers, for early career researchers. Buffet style courses that cover many topics can inspire participants to try new things; however, they can also be overwhelming. Participants who want to implement new practices may not know where to start once they return to their research team. We describe ten simple rules to guide participants of relevant training courses in implementing robust research practices in their own projects, once they return to their research group. This includes (1) prioritizing and planning which practices to implement, which involves obtaining support and convincing others involved in the research project of the added value of implementing new practices; (2) managing problems that arise during implementation; and (3) making reproducible research and open science practices an integral part of a future research career. We also outline strategies that course organizers can use to prepare participants for implementation and support them during this process.
Funder
Wellcome Trust BIH QUEST Center for Transforming Biomedical Research Deutsche Forschungsgemeinschaft Economic and Social Research Council Studentship National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London Maudsley NHS Foundation Trust and King’s College London NIHR Oxford Biomedical Research Centre
Publisher
Public Library of Science (PLoS)
Subject
Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics
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