Open and reproducible neuroimaging: From study inception to publication.

Détails

Ressource 1Télécharger: 36100172_Open and reproducible neuroimaging.pdf (2837.63 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_D85A404C3E1F
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Open and reproducible neuroimaging: From study inception to publication.
Périodique
NeuroImage
Auteur⸱e⸱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
Statut éditorial
Publié
Date de publication
11/2022
Peer-reviewed
Oui
Volume
263
Pages
119623
Langue
anglais
Notes
Publication types: Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
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.
Mots-clé
Humans, Ecosystem, Neuroimaging/methods, Research Design, EEG, MEG, MRI, Open science, PET, Reproducibility
Pubmed
Web of science
Open Access
Oui
Financement(s)
Fonds national suisse / Carrières / 185872
Création de la notice
20/09/2022 12:26
Dernière modification de la notice
19/12/2023 8:27
Données d'usage