Purpose This study aims to conduct a bibliometric analysis of research data management (RDM) in library science to illuminate the evolving landscape of the field. In addition, this study aims to unveil key trends, contributors and thematic patterns of the underlying research field. Design/methodology/approach This research adopted systematic research planning, collected data from the Scopus database and analyzed that data using bibliometric techniques. The methodology involved performance analysis to assess research constituents such as authors, sources and countries and science mapping to visualize collaborative networks and thematic evolution. Findings Results revealed a surge in publications over time, with a notable emphasis on topics such as open data-sharing norms, institutional patronage, infrastructure augmentation and the need for prudent investments in RDM infrastructure. This study highlighted the integration of emerging technologies in enhancing data management practices. The overall analysis revealed the key trends and knowledge structure of RDM scholarship, as well as its pivotal role in fostering scientific progress and innovation within library science. Originality/value This study provided a focused overview of the RDM research landscape. In particular, the key findings on the knowledge structure of RDM within library science, its thematic evolution and projections of future research areas offer valuable implications for scholars and practitioners seeking to navigate the dynamic landscape of RDM research.
Bhatt et al. (Mon,) studied this question.