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Research visualization trends in research data management (RDM): a bibliometric analysis

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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.

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... The data analysis as well as figures creating processes has been performed with the help of a specialized software's called OriginPro [64], VOS Viewer [65,66] and bibliometric data visualization and bibliography figures by BiblioShiny [67]. To conduct the analysis of time-based and basic properties of the scientific literature and citation data by using CiteSpace software [68]. ...
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Data management is an important part of clinical research.
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![Figure][1] I recently reviewed the paper “Cardiovascular Scientific Production in Spain and in the European and Global Context (2003–2007)” being published this month in Revista Espanola de Cardiologia ([1][2]). As is apparent from the title, the manuscript reported the research
Article
Data collection in the UK can be traced back to Roman times with the introduction of 5-yearly population censuses however it is only in recent history that the acquisition, distribution and analysis of quantitative data in digital format has been possible. 1967 saw the establishment of the SSRC Data Bank at the University of Essex. The 1970s and 1980s saw the emergence of ‘data laboratories’ within a number of UK tertiary education institutions. This evolution continued with the formation of Edinburgh University Data Library (1983) and Oxford Data Library (1985) and more recently the London School of Economics (LSE) Data Library and the LSE Research Laboratory Data Service. Based at tertiary education institutions these specialised libraries have developed independently to assist researchers and teachers in the use of quantitative data for analysis and research purposes. With Web technology and advances in telecommunications this role has continued to develop to include support for a whole range of digital data resources via National Data Centres. Thus in this digital age with increased IT literacy, technological exposure and expectancy the data librarian’s role is ever more confusing and difficult to identify. This paper will discuss the differing areas of expertise within the UK data libraries with particular reference to their relationship with National Data Centres, the role of the Data Information Specialists Committee – UK (DISC-UK), in addition to the role played by other information staff which identify them as potential data librarians from ‘non-data library’ institutions
A scientometric review of global research on the sustainability of paraffin oil
  • P Arumugam
  • M Sharmila
  • R Jeyanthi
  • A Virumandi
  • S Sivankalai
  • R Rega
Arumugam, P., Sharmila, M., Jeyanthi, R., Virumandi, A., Sivankalai, S. and Rega, R. (2021), "A scientometric review of global research on the sustainability of paraffin oil", pp. 9243-9259.
Research data management: Policy, planning and practice
  • A Ball
Ball, A. (2013), "Research data management: Policy, planning and practice", ASLIB Engineering and Technology Afternoon Seminar: Research Data Management and Patent Searching.
What is research data management (RDM)?
  • B Imed
Imed, B. (2022), "What is research data management (RDM)?", Education.
Mapping the knowledge domains of research data management: a co-occurrence analysis
  • M I Ismail
  • A Abrizah
  • S F Samsuddin
Ismail, M.I., Abrizah, A. and Samsuddin, S.F. (2021), "Mapping the knowledge domains of research data management: a co-occurrence analysis", Reimagining libraries for a post-pandemic world: Proceedings of the International 8th Conference on Libraries, Information and Society, ICoLIS 2021.
A bibliometric review of publications on research data management
  • A Kumar
Kumar, A. (2023), "A bibliometric review of publications on research data management", Library Waves, Vol. 9, pp. 35-46.
Global research trends in research data management (RDM)-a scientometric view
  • S Naseema
  • R Sevukan
Naseema, S. and Sevukan, R. (2022), "Global research trends in research data management (RDM)-a scientometric view", International Journal of Information Science and Management (IJISM), Vol. 20, pp. 117-135.
  • P Srisusilawati
  • A S Rusydiana
  • Y D Sanrego
  • N Tubastuvi
Srisusilawati, P., Rusydiana, A.S., Sanrego, Y.D. and Tubastuvi, N. (2021), "Biblioshiny R application on Islamic microfinance research", Library Philosophy and Practice, Vol. 2021, pp. 1-24.
Are scientometrics, informetrics, and bibliometrics different?
  • S Yang
  • Q Yuan
  • J Dong
Yang, S., Yuan, Q. and Dong, J. (2020), "Are scientometrics, informetrics, and bibliometrics different?", Data Science and Informetrics, Vol. 1, p. 50.