A decade of surveys on attitudes to data sharing highlights three factors for achieving open science | Impact of Social Sciences
Hanna_S's bookmarks 2023-08-23
Summary:
"Over a 10 year period Carol Tenopir of DataONE and her team conducted a global survey of scientists, managers and government workers involved in broad environmental science activities about their willingness to share data and their opinion of the resources available to do so (Tenopir et al., 2011, 2015, 2018, 2020). Comparing the responses over that time shows a general increase in the willingness to share data (and thus engage in Open Science)....
The most surprising result was that a higher willingness to share data corresponded with a decrease in satisfaction with data sharing resources across nations (e.g., skills, tools, training) (Fig.1). That is, researchers who did not want to share data were satisfied with the available resources, and those that did want to share data were dissatisfied. Researchers appear to only discover that the tools are insufficient when they begin the hard work of engaging in open science practices. This indicates that a cultural shift in the attitudes of researchers needs to precede the development of support and tools for data management....
Mandated requirements to share data really do work. However, this effect was shown in the surveys as government researchers were consistently far more willing to share data than those in academia or corporations, and this willingness to share increased substantially from 2011 to 2019....
Researchers working in academia were less willing to share than those in government, but did show significant increases in willingness to share from 2011 to 2015. Researchers in the commercial sector were, unsurprisingly, the least willing to share their data....
government involvement and funding play an important role in improving the attitudes researchers have towards open science practices. The organisational influence of government funding and mandates shifts individual incentives. Researchers then realize that they lack the knowledge, tools, and training they need to properly share data, which can push the social change needed to drastically change the way that science is done for the better."