Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli.


Journal

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

Informations de publication

Date de publication:
01 08 2020
Historique:
received: 03 07 2019
revised: 31 10 2019
accepted: 31 10 2019
pubmed: 11 11 2019
medline: 20 2 2021
entrez: 10 11 2019
Statut: ppublish

Résumé

Naturalistic stimuli show significant potential to inform behavioral, cognitive, and clinical neuroscience. To date, this impact is still limited by the relative inaccessibility of both generated neuroimaging data as well as the supporting naturalistic stimuli. In this perspective, we highlight currently available naturalistic datasets and technical solutions such as DataLad that continue to advance our ability to share this data. We also review scientific and sociological challenges in selecting naturalistic stimuli for reproducible research. Overall, we encourage researchers to share their naturalistic datasets to the full extent possible under local copyright law.

Identifiants

pubmed: 31704292
pii: S1053-8119(19)30921-8
doi: 10.1016/j.neuroimage.2019.116330
pmc: PMC7198323
mid: NIHMS1543544
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

116330

Subventions

Organisme : NIDA NIH HHS
ID : U24 DA039832
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH083320
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH109682
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB019936
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH096906
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

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Auteurs

Elizabeth DuPre (E)

Montreal Neurological Institute, McGill University, Canada. Electronic address: elizabeth.dupre@mail.mcgill.ca.

Michael Hanke (M)

Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Jean-Baptiste Poline (JB)

Montreal Neurological Institute, McGill University, Canada.

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Classifications MeSH