Positioning Data Ethics within the Wits Graduate Online Learning and Development (GOLD) RDM Strategy at the University of the Witwatersrand, South Africa

Abstract

This presentation explores the integration of data ethics into the Research Data Management (RDM) Framework strategy at the University of the Witwatersrand (Wits), South Africa. The case study focuses on the rollout of the Wits Graduate Online Learning and Development (GOLD) Programme, aimed at promoting Open and FAIR Data Principles among postgraduate students in alignment with the Wits RDM policy.

The study sought to influence the development, adoption, and implementation of the RDM Framework as a strategic tool to enhance the submission of Data Management Plans (DMPs) and research datasets supporting theses and dissertations. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, data was collected through a mixed-methods approach from master's and doctoral students across five faculties: Health Sciences, Education, Science, Commerce, Law, and Engineering and the Built Environment.

Key findings will be used to facilitate conditions (FC), performance expectancy (PE), digital skills, and social influence (SI) which should significantly shape students’ understanding and engagement with RDM principles. The study will also identify the roles of various stakeholders in the RDM research cycle and highlighted the tools and skills necessary for successful implementation of the university’s RDM framework.

Analysis of questionnaire and interview data will be collected online and facilitated by faculty librarians. This survey will be used to gather information and give a comprehensive review of the Wits RDM policy and its impact on postgraduate studies at the University of Witwatersrand. Recommendations would include the development of a robust roadmap for faculty-level RDM activities, investment in infrastructure, and enhanced support for library-led RDM initiatives and Research Commons Hub services.

In conclusion, the study seeks to underscores the importance of equipping postgraduate students with RDM competencies and fostering a culture of open data sharing. It advocates for continuous RDM education and policy-driven alignment of RDM practices, particularly data ethics, Open Data FAIR/CARE Principles before the thesis/dissertation and datasets submissions to the institutional open repositories. This will also establish the library’s Scholarly Communication division if positioned as a key driver in advancing the postgraduate research cycle through the formulation and implementation of a sustainable RDM framework in the University.