Open and reproducible neuroimaging: From study inception to publication.

Details

Ressource 1Download: 36100172_Open and reproducible neuroimaging.pdf (2837.63 [Ko])
State: Public
Version: Final published version
License: CC BY-NC-ND 4.0
Serval ID
serval:BIB_D85A404C3E1F
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Open and reproducible neuroimaging: From study inception to publication.
Journal
NeuroImage
Author(s)
Niso G., Botvinik-Nezer R., Appelhoff S., De La Vega A., Esteban O., Etzel J.A., Finc K., Ganz M., Gau R., Halchenko Y.O., Herholz P., Karakuzu A., Keator D.B., Markiewicz C.J., Maumet C., Pernet C.R., Pestilli F., Queder N., Schmitt T., Sójka W., Wagner A.S., Whitaker K.J., Rieger J.W.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Publication state
Published
Issued date
11/2022
Peer-reviewed
Oui
Volume
263
Pages
119623
Language
english
Notes
Publication types: Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
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, 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. An online version of this resource can be found at https://oreoni.github.io. 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.
Keywords
Humans, Ecosystem, Neuroimaging/methods, Research Design, EEG, MEG, MRI, Open science, PET, Reproducibility
Pubmed
Web of science
Open Access
Yes
Funding(s)
Swiss National Science Foundation / Careers / 185872
Create date
20/09/2022 12:26
Last modification date
19/12/2023 8:27
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