Llebot, Clara, and Hannah Gascho Rempel. "Why Won’t They Just Adopt Good Research Data Management Practices? An Exploration of Research Teams and Librarians’ Role in Facilitating RDM Adoption." Journal of Librarianship and Scholarly Communication (2021).

Based on the Unified Theory of the Acceptance and Use of Technology model (Venkatesh, Morris, Davis, & Davis, 2003), this study examines the variables that can influence whether new and better data management practices will be adopted by a research group, while controlling for moderating variables.


Go to the profile of Pablo Markin
6 months ago

This study suggests that qualitative factors are likely to affect researcher-level or organizational Open Science practices. These include discipline-specific or research group culture that, in accordance with the sensitivity degree of the data scholars collect or process, can either facilitate data sharing or discourage that. Thus, Open Access to data can demand the presence of clear-cut protocols for the identification of sharable datasets, privacy or other risks and field-specific methods for empirical information sharing, e.g., via anonymization. Likewise, the presence or absence of discipline-wide standards for data sharing, such as in information sciences, can significantly increase or decrease respectively the perceived importance of Open Science practices. In contrast, in situations, in which research outcomes are proprietary or patentable, the extent of data sharing is likely to be minor regardless of these factors. There can also be organizational barriers, e.g., team size, to the implementation of Open Access principles relating to the possible need to change workflows, train personnel, or win over stakeholders, such as when data documentation procedures or preferred depository indications will need to be altered.