Research data management in Kenyan universities: current practices and future directions

Purpose Effective research data management (RDM) is gaining prominence in universities as it ensures data integrity, accessibility and long-term preservation within academic institutions. This study aims to examine the current status of RDM practices in Kenyan universities, emphasising the data-intensive phases of the research life cycle model. Design/methodology/approach This study used a mixed-methods approach. A multiple case study design was used, selecting six universities (three public and three private) based on their Webometrics ranking, age, size and discipline. Data was gathered using a questionnaire from a sample of 306 out of the targeted 355, and interviews with six head librarians and five heads of research units. Quantitative data were analysed using SPSS, and qualitative data were thematically analysed. Ethical approval was obtained, and confidentiality was maintained through anonymization of participants and institutions. Findings This study established that several positive, researcher-driven data management practices exist. These include implementing strategies to ensure data quality, such as maintaining a diary, using IT tools and creating organised, well-named and regularly backed-up files. Furthermore, some researchers are adopting more advanced measures, like preparing data management plans and using appropriate platforms, such as online data repositories, to store, preserve, archive and share their work. Despite these positive signs at the individual level, institutional RDM initiatives remain nearly non-existent, necessitating robust institutional support, including university-wide policies, dedicated data infrastructure like repositories and formal support and training services developed for universities to manage data effectively in the future. Research limitations/implications This study was limited to six universities designated as case studies, limiting the findings’ generalisability. The chosen institutions may not adequately represent the diverse characteristics of other universities regarding size, funding, governance and research focus. Furthermore, this study relied on surveys and interviews, and therefore depended on self-reported data, which may be subject to bias and thus potentially affect the accuracy and objectivity of the findings. Practical implications This study advocates that Kenyan universities urgently develop and implement RDM policies, establish dedicated RDM IT infrastructure, provide targeted RDM support services and enhance the capacity of research stakeholders to manage research data effectively. Originality/value While there is a growing body of research on RDM globally, empirical evidence from developing countries like Kenya remains limited. This comprehensive baseline survey on the current status of RDM practices in Kenyan universities provides a pioneering perspective on a critical yet underexplored area.