TY - JOUR

T1 - Open and reproducible neuroimaging

T2 - from study inception to publication

AU - Niso, Guiomar

AU - Botvinik-Nezer, Rotem

AU - Appelhoff, Stefan

AU - Vega, Alejandro De La

AU - Esteban, Oscar

AU - Etzel, Joset A

AU - Finc, Karolina

AU - Ganz, Melanie

AU - Gau, Rémi

AU - Halchenko, Yaroslav O

AU - Herholz, Peer

AU - Karakuzu, Agah

AU - Keator, David B

AU - Markiewicz, Christopher J

AU - Maumet, Camille

AU - Pernet, Cyril R

AU - Pestilli, Franco

AU - Queder, Nazek

AU - Schmitt, Tina

AU - Sójka, Weronika

AU - Wagner, Adina S

AU - Whitaker, Kirstie J

AU - Rieger, Jochem W

N1 - Copyright © 2022. Published by Elsevier Inc.

PY - 2022

Y1 - 2022

N2 - 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, reproducible, replicable, robust and generalizable 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.

AB - 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, reproducible, replicable, robust and generalizable 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.

U2 - 10.1016/j.neuroimage.2022.119623

DO - 10.1016/j.neuroimage.2022.119623

M3 - Review

C2 - 36100172

VL - 263

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

M1 - 119623

ER -