关键词: 开放科学数据, CFPS, CHARLS, CLHLS, 合作分析

Abstract: [Purpose/significance] This paper aims to reveal the utilization status of the three representative datasets in Peking University Open Research Data Platform and provide references for the related research of scientific data open sharing.[Method/process] This paper selected CNKI papers using CFPS, CHARLS and CLHLS as the research objects, and adopted network analysis method and relevant tools to analyze their collaborative research from the dimensions of authors, institutions and themes.[Result/conclusion] After 2011, the annual collaboration degree of the research subjects has tended to be stable, and the collaboration rate gradually decreased with the expansion of the research subjects. The three centrality indicators can complement each other to find important institutions. The first-level institutions show that Peking University is the core, some institutions maintain collaboration, and many institutions actively participate in collaboration. The top-ranked second-level institutions in terms of the number of collaborative institutions and the total number of collaboration times are relatively stable, and maintain a solid collaborative relationship mutually, which can be roughly classified into three categories. The core author groups show that some author groups collaborate frequently and stably, and there are intermediary authors connecting to several collaborative groups. Moreover, collaborative research papers cover a variety of topics, focusing on physical and mental health of elderly people, family consumption and assets, as well as social security issues for the aging population. It can be improved in terms of building an authoritative integration platform of scientific data open sharing, integrating academic databases, and organizing academic competitions to promote the development of scientific data open sharing in the future.

Key words: open scientific data, CFPS, CHARLS, CLHLS, collaboration analysis