Perceived Benefits of Open Data Are Improving but Scientists Still Lack Resources, Skills, and Rewards

Journal Article
Authors

Joshua Borycz

Robert Olendorf

Alison Specht

Bruce Grant

Kevin Crowston

Carol Tenopir

Suzie Allard

Natalie M. Rice

Rachael Hu

Robert J. Sandusky

Published

June 1, 2023

Abstract
Addressing global scientific challenges requires the widespread sharing of consistent and trustworthy research data. Identifying the factors that influence widespread data sharing will help us understand the limitations and potential leverage points. We used two well-known theoretical frameworks, the Theory of Planned Behavior and the Technology Acceptance Model, to analyze three DataONE surveys published in 2011, 2015, and 2020. These surveys aimed to identify individual, social, and organizational influences on data-sharing behavior. In this paper, we report on the application of multiple factor analysis (MFA) on this combined, longitudinal, survey data to determine how these attitudes may have changed over time. The first two dimensions of the MFA were named willingness to share and satisfaction with resources based on the contributing questions and answers. Our results indicated that both dimensions are strongly influenced by individual factors such as perceived benefit, risk, and effort. Satisfaction with resources was significantly influenced by social and organizational factors such as the availability of training and data repositories. Researchers that improved in willingness to share are shown to be operating in domains with a high reliance on shared resources, are reliant on funding from national or federal sources, work in sectors where internal practices are mandated, and live in regions with highly effective communication networks. Significantly, satisfaction with resources was inversely correlated with willingness to share across all regions. We posit that this relationship results from researchers learning what resources they actually need only after engaging with the tools and procedures extensively.
How to cite this work

Joshua Borycz, Robert Olendorf, Alison Specht, Bruce Grant, Kevin Crowston, Carol Tenopir, Suzie Allard, Natalie M. Rice, Rachael Hu, Robert J. Sandusky (2023). Perceived Benefits of Open Data Are Improving but Scientists Still Lack Resources, Skills, and Rewards. Humanities and Social Sciences Communications, 10(1) 1–12 : Palgrave https://doi.org/10.1057/s41599-023-01831-7