Perceived benefits of open data are improving but scientists still lack resources, skills, and rewards

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