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

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

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 curr...

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Main Authors: Elizabeth DuPre, Michael Hanke, Jean-Baptiste Poline
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:NeuroImage
Subjects:
Open science
Data sharing
Naturalistic stimuli
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919309218
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spelling doaj-42215a805c7140e98de7eba3bbf952702020-11-29T04:13:54ZengElsevierNeuroImage1095-95722020-08-01216116330Nature abhors a paywall: How open science can realize the potential of naturalistic stimuliElizabeth DuPre0Michael Hanke1Jean-Baptiste Poline2Montreal Neurological Institute, McGill University, Canada; Corresponding author.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, GermanyMontreal Neurological Institute, McGill University, CanadaNaturalistic 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.http://www.sciencedirect.com/science/article/pii/S1053811919309218Open scienceData sharingNaturalistic stimuli
collection DOAJ
language English
format Article
sources DOAJ
author Elizabeth DuPre
Michael Hanke
Jean-Baptiste Poline
spellingShingle Elizabeth DuPre
Michael Hanke
Jean-Baptiste Poline
Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli
NeuroImage
Open science
Data sharing
Naturalistic stimuli
author_facet Elizabeth DuPre
Michael Hanke
Jean-Baptiste Poline
author_sort Elizabeth DuPre
title Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli
title_short Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli
title_full Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli
title_fullStr Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli
title_full_unstemmed Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli
title_sort nature abhors a paywall: how open science can realize the potential of naturalistic stimuli
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2020-08-01
description 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.
topic Open science
Data sharing
Naturalistic stimuli
url http://www.sciencedirect.com/science/article/pii/S1053811919309218
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