摘要：

Abstract:

【Purpose/significance】Based on the life cycle of university data, this paper approaches the perspective of scientific data

utilization and explores the basic characteristics of social scientific data in depth, which can provide a certain practical basis for the

government and data management institutions in China to formulate social science data management policies in the later stage.【Meth⁃

od/process】We select Chinese journals in the field of logistics research with strong interdisciplinary intersection from 2009 to 2019 as

samples, and use mixed research methods including literature measurement, content analysis, social network analysis, etc. to conduct

a quantitative analysis on the characteristics of social scientific data from three aspects of data creation, data analysis, and data disclo⁃

sure.【Result/conclusion】We find that the main body who creates social scientific data is government agencies, industry associations

and enterprises, scientific research institutions and researchers. And according to different research paradigms, researchers often mix

different types of scientific data when using it. The utilization rate of professional analysis tools and the degree of data standardization

are relatively low. Finally, some relevant suggestions are put forward based on the findings.【Innovation/limitation】This paper con⁃

structs the life cycle model of university scientific data from the perspective of data utilization, and further studies the characteristics

of social science data. However, there are still problems such as the sample size needs to be further expanded and it is difficult to fully

show the whole process of using scientific data in journal articles.