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Assessment of the impact of shared brain imaging data on the scientific literature
Milham, Michael P.1,2; Craddock, R. Cameron1,2; Son, Jake J.1; Fleischmann, Michael1; Clucas, Jon1; Xu, Helen1; Koo, Bonhwang1; Krishnakumar, Anirudh1,3; Biswal, Bharat B.4; Castellanos, F. Xavier2,5; Colcombe, Stan2; Di Martino, Adriana5; Zuo, Xi-Nian6,7,8,9; Klein, Arno1
First AuthorMilham, Michael P.
2018-12-01
Source PublicationNature Communications
Correspondent Emailmichael.milham@childmind.org
Subtypearticle
Volume9Issue:1Pages:1-15
Contribution Rank7
Abstract

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. © 2018, The Author(s).

Subject AreaAssessment Method - Brain - Data Assimilation - Literature Review - Philosophy - Research Work
DOI10.1038/s41467-018-04976-1
Indexed ByEI
Language英语
Project Intro.

The Child Mind Institute provides primary funding for the INDI team, with additional support provided by the Nathan S. Kline Institute for Psychiatric Research. We would like to thank the many contributors to the 1000 Functional Connectomes Project and INDI; it is their vision and contributions that have made these efforts successful. Thanks also to the many members of the INDI team over the years, especially Maarten Mennes, Quiyang Li, Dan Lurie, and David O'Connor. We thank the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) for hosting support for INDI, as well as Amazon Web Services and the COllaborative Informatics and Neuroimaging Suite (COINS). This work was supported in part by gifts to the Child Mind Institute from Phyllis Green, Randolph Cowen, Joseph P. Healey, and the Stavros Niarchos Foundation. M.P.M. is the Phyllis Green and Randolph Cowen Scholar at the Child Mind Institute. A. D.M. received grant support from the National Institutes of Health (521MH107045); X.N.Z. received support from the National Basic Research Program (2015CB351702), National Natural Science Foundation of China (81220108014), Beijing Municipal Science & Technology Commission (Z161100002616023 and Z171100000117012), the National R&D Infrastructure and Facility Development Program of China-"Fundamental Science Data Sharing Platform" (DKA2017-12-02-21), and Guangxi Bagui Honor Scholarship Program. A.Kr. received support from the IDEFI IIFR grant (ANR-2012-IDEFI04). Primary funding for the NKI-RS initiatives is provided by grants from the NIH (R01MH094639, R01MH101555, R01-AG047596, and U01MH099059), as well as support from the New York State Office of Mental Health and Research Foundation for Mental Hygiene, and Child Mind Institute (1FDN2012-1).

PublisherNature Publishing Group, Houndmills, Basingstoke, Hampshire, RG21 6XS, United Kingdom
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/27767
Collection中国科学院行为科学重点实验室
Corresponding AuthorMilham, Michael P.
Affiliation1.Center for the Developing Brain, Child Mind Institute, New York; NY; 10022, United States;
2.Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York; NY; 10962, United States;
3.Centre de Recherches Interdisciplinaires, INSERM U1001, Dpt Frontières du Vivant et de l′Apprendre, University Paris Descartes, Sorbonne Paris Cité, Paris; 75014, France;
4.Department of Biomedical Engineering, New Jersey Institute of Technology, Newark; NJ; 07102, United States;
5.Department of Child and Adolescent Psychiatry, Hassenfeld Childrens Hospital at NYU Langone, New York; NY; 10016, United States;
6.Department of Psychology, University of Chinese Academy of Sciences (CAS), Beijing; 100049, China;
7.CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing; 100101, China;
8.Research Center for Lifespan Development of Mind and Brain (CLIMB) and Magnetic Resonance Imaging Research Center, Institute of Psychology, Beijing; 100101, China;
9.Key Laboratory for Brain and Education Sciences, Guangxi Teachers Education University, Nanning; 530001, China
Recommended Citation
GB/T 7714
Milham, Michael P.,Craddock, R. Cameron,Son, Jake J.,et al. Assessment of the impact of shared brain imaging data on the scientific literature[J]. Nature Communications,2018,9(1):1-15.
APA Milham, Michael P..,Craddock, R. Cameron.,Son, Jake J..,Fleischmann, Michael.,Clucas, Jon.,...&Klein, Arno.(2018).Assessment of the impact of shared brain imaging data on the scientific literature.Nature Communications,9(1),1-15.
MLA Milham, Michael P.,et al."Assessment of the impact of shared brain imaging data on the scientific literature".Nature Communications 9.1(2018):1-15.
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