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.

科学研究一直面临着规模和复杂性增加的问题。因此，由于基础和学术科学研究的战略和组织管理的需要，人们期望使用科学计量方法进行科学管理。目前的研究侧重于跨学科研究项目中的协作和知识结构，并提出了一个评估框架，通过衡量这些结构的复杂性来协助科学研究中的数据驱动决策。共同作者和共同词网络是根据跨学科研究项目中产生的出版物的书目信息构建的，并通过计算图熵进行复杂性的横截面和纵向分析。对这些网络的观察证明了时间演化的不同结构特征和模式。横截面分析的结果表明，这些复杂性变化量之间的相关性表明协作结构可能在知识结构中进行归纳。纵向分析的结果表明，随着时间的推移，复杂性增量的减少反映了观察案例的策略从促进跨学科研究向整合研究成果以实现愿景的转变。拟议的框架将允许在科学研究中实施实时和基于证据的管理实践。横截面分析的结果表明，这些复杂性变化量之间的相关性表明协作结构可能在知识结构中进行归纳。纵向分析的结果表明，随着时间的推移，复杂性增量的减少反映了观察案例的策略从促进跨学科研究向整合研究成果以实现愿景的转变。拟议的框架将允许在科学研究中实施实时和基于证据的管理实践。横截面分析的结果表明，这些复杂性变化量之间的相关性表明协作结构可能在知识结构中进行归纳。纵向分析的结果表明，随着时间的推移，复杂性增量的减少反映了观察案例的策略从促进跨学科研究向整合研究成果以实现愿景的转变。拟议的框架将允许在科学研究中实施实时和基于证据的管理实践。纵向分析的结果表明，随着时间的推移，复杂性增量的减少反映了观察案例的策略从促进跨学科研究向整合研究成果以实现愿景的转变。拟议的框架将允许在科学研究中实施实时和基于证据的管理实践。纵向分析的结果表明，随着时间的推移，复杂性增量的减少反映了观察案例的策略从促进跨学科研究向整合研究成果以实现愿景的转变。拟议的框架将允许在科学研究中实施实时和基于证据的管理实践。