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Open Science: My Insights Into Data Sharing, Preregistration, and Replication
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Open Science: My Insights Into Data Sharing, Preregistration, and Replication
Open Science: My Insights Into Data Sharing, Preregistration, and Replication
Journal Article

Open Science: My Insights Into Data Sharing, Preregistration, and Replication

2025
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Overview
After a decade of implementing open science practices as a principal investigator, mentor, data repository founder, and editor-in-chief, I have learned that the question is not whether researchers should adopt these practices but how to adapt them meaningfully. This commentary, based on a talk given at the 2024 Canadian Society for Brain, Behaviour, and Cognitive Science conference, argues for two key principles: First, open science implementation must be context-dependent rather than one-size-fits-all, and second, practical research realities require flexible approaches to idealized policies. Through personal examples, from my evolution with preregistration from \"recipe\" to \"guide\" during COVID-19 research to challenges with Registered Reports using existing data sets, I show how open science practices work best when researchers approach them as evolving tools rather than rigid rules. I also discuss field-specific differences in open science uptake between psychology and education and the importance of equity considerations in implementation. The commentary concludes with concrete recommendations for researchers and journals, emphasizing that sustainable open science requires meeting researchers where they are while maintaining transparency and scientific rigour. Après avoir consacré une décennie à la promotion et à la mise en œuvre des pratiques de la science ouverte en tant que chercheuse principale, mentore, fondatrice d'une base de données et rédactrice en chef, j'ai réalisé qu'il ne s'agit pas de savoir si les chercheurs doivent adopter ces pratiques, mais plutôt de comprendre comment les intégrer de manière significative. Ce commentaire, basé sur une présentation donnée lors de la conférence 2024 de la Société canadienne des sciences du cerveau, du comportement et de la cognition, plaide en faveur de deux principes clés : premièrement, la mise en œuvre de la science ouverte doit être adaptée au contexte plutôt que fondée sur une approche universelle et, deuxièmement, les réalités pratiques de la recherche exigent des approches flexibles face aux politiques idéalisées. À travers des exemples personnels - de mon évolution dans l'utilisation de la préinscription, passée d'une « recette » à un « guide » pendant mes recherches liées à la COVID-19, aux défis rencontrés avec les rapports enregistrés utilisant des ensembles de données existants -, je montre que les pratiques de science ouverte fonctionnent le mieux lorsque les chercheurs les considèrent comme des outils en constante évolution plutôt que comme des règles rigides. Je discute également des différences spécifiques au domaine dans l'adoption de la science ouverte entre la psychologie et l'éducation, ainsi que de l'importance des considérations d'équité dans la mise en œuvre. Le commentaire se termine par des recommandations concrètes à l'intention des chercheurs et des revues, en soulignant que la durabilité de la science ouverte repose sur une approche qui rejoint les chercheurs là où ils en sont, tout en maintenant la transparence et la rigueur scientifique. Public Significance Statement Open science practices like sharing research data and preplanning studies can make research more trustworthy and useful, but researchers often struggle with how to implement these practices in real-world situations. This commentary shows that rather than having rigid, one-size-fits-all rules for open science, we need flexible approaches that work for different types of research while still maintaining transparency and scientific quality. These insights can help Canadian researchers, funding agencies, and journals develop more practical and equitable policies that actually support better science rather than creating barriers for researchers with different resources or research contexts.