Assessment of the impact of shared brain imaging data on the scientific literature
Document Type
Article
Publication Date
12-1-2018
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.
Identifier
85050635646 (Scopus)
Publication Title
Nature Communications
External Full Text Location
https://doi.org/10.1038/s41467-018-04976-1
e-ISSN
20411723
PubMed ID
30026557
Issue
1
Volume
9
Grant
1FDN2012-1
Fund Ref
National Institutes of Health
Recommended Citation
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; and Klein, Arno, "Assessment of the impact of shared brain imaging data on the scientific literature" (2018). Faculty Publications. 8237.
https://digitalcommons.njit.edu/fac_pubs/8237
