Scientometrics for management of science: collaboration and knowledge structures and complexities in an interdisciplinary research project

Shuto Miyashita and Shintaro Sengoku ()
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Shuto Miyashita: Tokyo Institute of Technology
Shintaro Sengoku: Tokyo Institute of Technology

Scientometrics, 2021, vol. 126, issue 9, No 6, 7419-7444

Abstract: Abstract Scientific research has been facing the problem of increase in size and complexity. Hence, the utilization of scientometric methodology for management of science has been expected because of needs for strategic and organizational management of basic and academic scientific research. Present study focuses on collaboration and knowledge structures in an interdisciplinary research project and proposes an evaluation framework to assist data-driven decision-making in scientific research by measuring the complexity of these structures. Co-author and co-word networks were constructed from the bibliographic information of publications generated in an interdisciplinary research project, and cross-sectional and longitudinal analyses of complexity were conducted by calculating the graph entropy. Observations of these networks demonstrated the different structural features and modes of time evolution. The results of the cross-sectional analysis indicated that the correlations between the amount of change in these complexities suggested the possibility of induction in the knowledge structure by the collaboration structure. The results of the longitudinal analysis informed that the decrease in the increment of complexity over time reflected the transition of observed case's strategy from promoting interdisciplinary research to the integration of research outcomes to realize the vision. The proposed framework will allow to implement real-time and evidence-based management practices in scientific research.

Keywords: Project management; Graph entropy; Collaboration structure; Knowledge structure (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11192-021-04080-0

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