Survey on Open Science Practices in Functional Neuroimaging.

Data sharing Metascience Neuroimaging Open science Preregistration Replication Reproducibility Research methods Robustness Validity fMRI

Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 08 2022
Historique:
received: 18 12 2021
revised: 03 05 2022
accepted: 10 05 2022
pubmed: 21 5 2022
medline: 22 6 2022
entrez: 20 5 2022
Statut: ppublish

Résumé

Replicability and reproducibility of scientific findings is paramount for sustainable progress in neuroscience. Preregistration of the hypotheses and methods of an empirical study before analysis, the sharing of primary research data, and compliance with data standards such as the Brain Imaging Data Structure (BIDS), are considered effective practices to secure progress and to substantiate quality of research. We investigated the current level of adoption of open science practices in neuroimaging and the difficulties that prevent researchers from using them. Email invitations to participate in the survey were sent to addresses received through a PubMed search of human functional magnetic resonance imaging studies that were published between 2010 and 2020. 283 persons completed the questionnaire. Although half of the participants were experienced with preregistration, the willingness to preregister studies in the future was modest. The majority of participants had experience with the sharing of primary neuroimaging data. Most of the participants were interested in implementing a standardized data structure such as BIDS in their labs. Based on demographic variables, we compared participants on seven subscales, which had been generated through factor analysis. Exploratory analyses found that experienced researchers at lower career level had higher fear of being transparent and researchers with residence in the EU had a higher need for data governance. Additionally, researchers at medical faculties as compared to other university faculties reported a more unsupportive supervisor with regards to open science practices and a higher need for data governance. The results suggest growing adoption of open science practices but also highlight a number of important impediments.

Identifiants

pubmed: 35595201
pii: S1053-8119(22)00425-6
doi: 10.1016/j.neuroimage.2022.119306
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119306

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflicts of interest.

Auteurs

Christian Paret (C)

Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim / Heidelberg University, Germany; Sagol Brain Institute, Wohl Institute for Advanced Imaging, Tel-Aviv Sourasky Medical Center and School of Psychological Sciences, Tel-Aviv University, Israel. Electronic address: christian.paret@zi-mannheim.de.

Nike Unverhau (N)

Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim / Heidelberg University, Germany.

Franklin Feingold (F)

Department of Psychology, Stanford University, Stanford, CA.

Russell A Poldrack (RA)

Department of Psychology, Stanford University, Stanford, CA.

Madita Stirner (M)

Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim / Heidelberg University, Germany.

Christian Schmahl (C)

Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim / Heidelberg University, Germany.

Maurizio Sicorello (M)

Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim / Heidelberg University, Germany.

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Classifications MeSH