Research visualization trends in research data management (RDM): a bibliometric analysis
Abstract
Purpose
This study aims to examine research visualization trends in research data management (RDM), analyzing factors such as contributions, publications, document types, authors and research areas, emphasizing the dynamic nature of RDM research in the scholarly landscape.
Design/methodology/approach
The study analyzed citation histories for 1,401 publications from 2001 to 2021 in the Web of Science database, extracting no restrictions on document type or language. Literature visualization tools such as Biblioshiny, VOSviewer, ScientoPy and MS Excel were used. The researchers explored institutional collaborations, data-centric trends and RDM frontiers.
Findings
The majority of RDM research is conducted by librarians and information scientists. Research on RDM has increased over the past 21 years, peaking in 2019. Among universities, Sheffield and Pittsburgh have the most productivity in RDM research, and the USA is the most productive country. Most productive authors are Aleixandre-Benavent-R and Da Silva Jr. RDM; however, improvement is still needed, especially at academic universities.
Originality/value
This study provides valuable insights into the published literature on RDM and identifies patterns of collaboration among researchers in RDM.
Keywords
Acknowledgements
The author is grateful to Mr Nusrat Ali, for extracting and analyzing the data from the WoS database. He is also thankful to Mr Aamir Hamid and Muhammad Ajmal Khan for their assistance in conducting the research, addressing the reviewer comments and reviewing this paper.
Conflicts of Interest: The authors declare no conflict of interest is associated with this study.
Data Availability: Upon a reasonable request, the corresponding author will provide data supporting the findings of this study.
Citation
Shah, N.U., Ali, N., Hamid, A. and Khan, M.A. (2024), "Research visualization trends in research data management (RDM): a bibliometric analysis", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-09-2023-0349
Publisher
:Emerald Publishing Limited
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