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Assessment of the impact of shared brain imaging data on the scientific literature

Data sharing is increasingly recommended as a means of accelerating science by facilitating collaboration, transparency, and reproducibility. While few oppose data sharing philosophically, a range of barriers deter most researchers from implementing it in practice. To justify the significant effort...

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Autores principales: Milham, Michael P., Craddock, R. Cameron, Son, Jake J., Fleischmann, Michael, Clucas, Jon, Xu, Helen, Koo, Bonhwang, Krishnakumar, Anirudh, Biswal, Bharat B., Castellanos, F. Xavier, Colcombe, Stan, Di Martino, Adriana, Zuo, Xi-Nian, Klein, Arno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053414/
https://www.ncbi.nlm.nih.gov/pubmed/30026557
http://dx.doi.org/10.1038/s41467-018-04976-1
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author Milham, Michael P.
Craddock, R. Cameron
Son, Jake J.
Fleischmann, Michael
Clucas, Jon
Xu, Helen
Koo, Bonhwang
Krishnakumar, Anirudh
Biswal, Bharat B.
Castellanos, F. Xavier
Colcombe, Stan
Di Martino, Adriana
Zuo, Xi-Nian
Klein, Arno
author_facet Milham, Michael P.
Craddock, R. Cameron
Son, Jake J.
Fleischmann, Michael
Clucas, Jon
Xu, Helen
Koo, Bonhwang
Krishnakumar, Anirudh
Biswal, Bharat B.
Castellanos, F. Xavier
Colcombe, Stan
Di Martino, Adriana
Zuo, Xi-Nian
Klein, Arno
author_sort Milham, Michael P.
collection PubMed
description Data sharing is increasingly recommended as a means of accelerating science by facilitating collaboration, transparency, and reproducibility. While few oppose data sharing philosophically, a range of barriers deter most researchers from implementing it in practice. To justify the significant effort required for sharing data, funding agencies, institutions, and investigators need clear evidence of benefit. Here, using the International Neuroimaging Data-sharing Initiative, we present a case study that provides direct evidence of the impact of open sharing on brain imaging data use and resulting peer-reviewed publications. We demonstrate that openly shared data can increase the scale of scientific studies conducted by data contributors, and can recruit scientists from a broader range of disciplines. These findings dispel the myth that scientific findings using shared data cannot be published in high-impact journals, suggest the transformative power of data sharing for accelerating science, and underscore the need for implementing data sharing universally.
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spelling pubmed-60534142018-07-25 Assessment of the impact of shared brain imaging data on the scientific literature Milham, Michael P. Craddock, R. Cameron Son, Jake J. Fleischmann, Michael Clucas, Jon Xu, Helen Koo, Bonhwang Krishnakumar, Anirudh Biswal, Bharat B. Castellanos, F. Xavier Colcombe, Stan Di Martino, Adriana Zuo, Xi-Nian Klein, Arno Nat Commun Article Data sharing is increasingly recommended as a means of accelerating science by facilitating collaboration, transparency, and reproducibility. While few oppose data sharing philosophically, a range of barriers deter most researchers from implementing it in practice. To justify the significant effort required for sharing data, funding agencies, institutions, and investigators need clear evidence of benefit. Here, using the International Neuroimaging Data-sharing Initiative, we present a case study that provides direct evidence of the impact of open sharing on brain imaging data use and resulting peer-reviewed publications. We demonstrate that openly shared data can increase the scale of scientific studies conducted by data contributors, and can recruit scientists from a broader range of disciplines. These findings dispel the myth that scientific findings using shared data cannot be published in high-impact journals, suggest the transformative power of data sharing for accelerating science, and underscore the need for implementing data sharing universally. Nature Publishing Group UK 2018-07-19 /pmc/articles/PMC6053414/ /pubmed/30026557 http://dx.doi.org/10.1038/s41467-018-04976-1 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Milham, Michael P.
Craddock, R. Cameron
Son, Jake J.
Fleischmann, Michael
Clucas, Jon
Xu, Helen
Koo, Bonhwang
Krishnakumar, Anirudh
Biswal, Bharat B.
Castellanos, F. Xavier
Colcombe, Stan
Di Martino, Adriana
Zuo, Xi-Nian
Klein, Arno
Assessment of the impact of shared brain imaging data on the scientific literature
title Assessment of the impact of shared brain imaging data on the scientific literature
title_full Assessment of the impact of shared brain imaging data on the scientific literature
title_fullStr Assessment of the impact of shared brain imaging data on the scientific literature
title_full_unstemmed Assessment of the impact of shared brain imaging data on the scientific literature
title_short Assessment of the impact of shared brain imaging data on the scientific literature
title_sort assessment of the impact of shared brain imaging data on the scientific literature
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053414/
https://www.ncbi.nlm.nih.gov/pubmed/30026557
http://dx.doi.org/10.1038/s41467-018-04976-1
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