Data sharing
Roadmap
- Houtkoop et al. (2018)
- Tenopir et al. (2020)
- (Optional) Gilmore & Adolph (2017)
- (Optional) Meyer (2018)
- (Optional) [National Institutes of Health (n.d.)](https://grants.ni
Houtkoop et al. (2018)
Houtkoop, B. L., Chambers, C., Macleod, M., Bishop, D. V. M., Nichols, T. E. & Wagenmakers, E.-J. (2018). Data sharing in psychology: A survey on barriers and preconditions. Advances in Methods and Practices in Psychological Science, 1(1), 70–85. https://doi.org/10.1177/2515245917751886
Study conclusions
• Public data sharing is not a common practice among research psychologists.
• Respondents considered data sharing to be both desirable and profitable for their particular research fields, but somewhat less desirable and profitable in the case of their own current research projects.
• The non-fear-related barriers to data sharing most frequently reported by respondents were that (a) sharing is not a common practice in their field, (b) they prefer to share their data only upon request, (c) they consider preparing data for sharing to be excessively time-consuming, and (d) they have never learned to share data online.
• Respondents believed that the largest fear-related obstacles preventing other researchers from sharing their data are the fear that alternative analyses might expose invalid conclusions and the fear of loss of control.
• Respondents reported that their greatest fears about sharing their own data are that the data might be misinterpreted and they might be scooped.
• In general, respondents felt that fear-related barriers affected other researchers more strongly than themselves.
• Mandatory data sharing (enforced by institutions, journals, or funders) and financial encouragement (i.e., increased grant amounts) are measures that would apparently be highly effective in increasing researchers’ willingness to share their data.
Penn State researchers
- GitHub repo: https://github.com/penn-state-open-science/survey-fall-2022
- Faculty, staff, students and administrators (\(n=100\))
- Protocol (IRB & data analysis): https://penn-state-open-science.github.io/survey-fall-2022/