Chapter 3: Establishing Research Data Management Services in Institutions of Higher Learning in the Era of Disruptive Technologies in Zimbabwe

This study investigated the establishment of research data management (RDM) services in institutions of higher learning, focusing on stakeholders, resources, challenges, and a practical implementation framework in the era of disruptive technologies. As digital transformation accelerates, higher education institutions (HEIs) are compelled to align RDM services with emerging technologies such as artificial intelligence (AI) to ensure data integrity, accessibility, and long-term preservation. The study employed a scoping review methodology guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist and Levac’s framework. Literature was sourced from Scopus, Web of Science, and Dimensions, yielding 415 articles. After rigorous screening and eligibility checks, 63 studies were selected for inclusion. Data were extracted and thematically analysed to draw insights. Findings revealed that key stakeholders include researchers, librarians, IT experts, research administrators, legal officers, and funding bodies. Resources essential for RDM include skilled personnel, infrastructure, funding, policies, and evaluation tools. Institutions faced challenges such as limited funding, inadequate infrastructure, lack of policy frameworks, staffing shortages, and insufficient training. The study concluded with a proposed eight-step framework encompassing needs assessment, stakeholder engagement, policy development, planning, preservation, and ongoing evaluation. The findings highlight the importance of institutional collaboration and continuous improvement in service delivery. Implications of the study suggest that strategic planning, stakeholder involvement, and sustained investment are crucial for the successful implementation of RDM services. This research provides a reference for institutions aiming to build robust RDM infrastructure aligned with evolving research needs and compliance mandates.