From data sharing to data publishing
Open Access
- 31 January 2019
- journal article
- Published by F1000 Research Ltd in MNI Open Research
Abstract
Data sharing, i.e. depositing data in research community accessible repositories, is not becoming as rapidly widespread across the life science research community as hoped or expected. I consider the sociological and cultural context of research and lay out why the community should instead move to data publishing with a focus on neuroscience data, and outline practical steps that can be taken to realize this goal.Keywords
Funding Information
- National Institutes of Health (NIBIBP41EB019936, 5U24DA039832, NIMHR01MH083320)
- Canada First Research Excellence Fund
This publication has 13 references indexed in Scilit:
- Scanning the horizon: towards transparent and reproducible neuroimaging researchNature Reviews Neuroscience, 2017
- The FAIR Guiding Principles for scientific data management and stewardshipScientific Data, 2016
- Reproducibility: A tragedy of errorsNature, 2016
- Montreal institute going ‘open’ to accelerate scienceScience, 2016
- The publication and reproducibility challenges of shared dataTrends in Cognitive Sciences, 2015
- Making big data open: data sharing in neuroimagingNature Neuroscience, 2014
- Power failure: why small sample size undermines the reliability of neuroscienceNature Reviews Neuroscience, 2013
- Making Data Sharing Count: A Publication-Based SolutionFrontiers in Neuroscience, 2013
- Data sharing in neuroimaging researchFrontiers in Neuroscience, 2012
- Data Publishing and Scientific Journals: The Future of the Scientific Paper in a World of Shared DataNeuroinformatics, 2010