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Journal Articles NeuroImage Year : 2022

Open and reproducible neuroimaging: from study inception to publication

Rotem Botvinik-Nezer
Joset Etzel
Yaroslav Halchenko
Christopher Johnson Markiewicz
Camille Maumet
Cyril Pernet
Kirstie Jane Whitaker

Abstract

Empirical observations of how labs conduct research indicate that the adoption rate of open practices for transparent, reproducible, and collaborative science remains in its infancy. This is at odds with the overwhelming evidence for the necessity of these practices and their benefits for individual researchers, scientific progress, and society in general. To date, information required for implementing open science practices throughout the different steps of a research project is scattered among many different sources. Even experienced researchers in the topic find it hard to navigate the ecosystem of tools and to make sustainable choices. Here, we provide an integrated overview of community-developed resources that can support collaborative, open, and reproducible neuroimaging throughout the entire research cycle from inception to publication and across different neuroimaging modalities. We review tools and practices supporting study inception and planning, data acquisition, research data management, data processing and analysis, and research dissemination. We believe it will prove helpful for researchers and institutions to make a successful and sustainable move towards open and reproducible science and to eventually take an active role in its future development.

Domains

Neuroscience
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Dates and versions

inserm-03646706 , version 1 (19-04-2022)

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Guiomar Niso, Rotem Botvinik-Nezer, Stefan Appelhoff, Alejandro de La Vega, Oscar Esteban, et al.. Open and reproducible neuroimaging: from study inception to publication. NeuroImage, 2022, ⟨10.1016/j.neuroimage.2022.119623⟩. ⟨inserm-03646706⟩
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