2023-11-08 Wed
johnlennon (2016)
Data sharing
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
• 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.
Houtkoop et al. (2018)
• 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.
Houtkoop et al. (2018)
• 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.
Houtkoop et al. (2018)
• 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.
Houtkoop et al. (2018)
• 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.
Houtkoop et al. (2018)
Your turn
Gilmore, R. O., Hillary, F., Lazar, N. & Wham, B. (2023). Penn State Open Science Survey. Retrieved August 1, 2023, from https://penn-state-open-science.github.io/survey-fall-2022/
Your turn
Tenopir, C., Rice, N. M., Allard, S., Baird, L., Borycz, J., Christian, L., Grant, B., Olendorf, R. & Sandusky, R. J. (2020). Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide. PloS One, 15(3), e0229003. https://doi.org/10.1371/journal.pone.0229003.
NSF-funded investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF awards.
NSF (n.d.)
Widespread data sharing by the research community adds significant value to research and accelerates the pace of discovery….research funded by the NIMH are required to deposit all raw and analyzed data (including, but not limited to, clinical, genomic, imaging, and phenotypic data) from studies involving human subjects into the NIMH Data Archive (NDA).
NIMH (2023)
Work Session: Final Projects