[Purpose/significance] By analyzing the cooperative behavior of scientific data open sharing from the perspective of citizen science, this paper provides a reference for improving the practical cooperation level of open sharing of scientific data in China.[Method/process] This paper uses literature analysis method to sort out the basic concept of citizen science and its relationship with the open sharing cooperation of scientific data, and constructs the cooperation model of open sharing of scientific data from the perspective of citizen science. Based on this model,this paper analyzes how stakeholders cooperate in the open sharing of scientific data.[Result/conclusion] The stakeholders can achieve various forms of open sharing cooperation by formulating policies and agreements for open sharing of scientific data, co-funding open sharing activities, and carrying out cooperation on open access to scientific data, open access publishing, open review, and OpenURL in the environment of citizen science.

[Purpose/significance] In order to provide references for more extensive open sharing of scientific data, the authors' cooperative relationships and research contents on the topic of open sharing of scientific data in china are revealed.[Method/process] Based on the data of journal papers and conference papers on the subject of open sharing of scientific data in CNKI from 2004 to 2021, the basic situation of author cooperations was analyzed, and the author cooperation networks were constructed. The overall author cooperation network, cooperative groups and cooperative research contents were analyzed by using the social network method.[Result/conclusion] The journal papers and conference papers on the subject of open sharing of scientific data in China are mainly based on author cooperative researches. The overall network density of author cooperation is low, and the size and frequency of cooperation affect the centrality. The structures of authors' cooperative group present five modes of double core, grid, bridge, star and streamline. The contents of authors' cooperative researches cover 9 aspects, including big data, scientific data, open sharing, data publishing, data management, data policy, data security, government data and data governance.

[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.

[Purpose/significance] From the perspective of open access journal papers, the paper reveals the characteristics of open sharing cooperation behaviors, so as to promote cross-institutional and interdisciplinary cooperation of researchers and the practical development of the open sharing movement.[Method/process] Based on the citing papers of the top 100 cited papers in Plos One, this paper used citation analysis method and social network analysis method to reveal the characteristics of cooperation contents and the relationship of citing paper networks in Plos One.[Result/conclusion] Both the number of open sharing cooperation resultsand the cooperation rate in Plos One are increasing year by year, and features of multi-disciplinary and cross-institutional cooperation are significant. The cooperation contents focus on the biological environment and other natural science fields, while social science and humanities and art research are relatively few, and interdisciplinary cooperation research exist. The author cooperative relationship networks are characterized by multi-center and weak connection. The institutional cooperative relationship networks have formed a cooperative mode that scientific research institutes and universities as the core and government institutions and enterprises as the cooperative participants. The discipline cooperation networks have the characteristics of environmental adaptability and disciplinary inclusiveness, and the degree of cooperation and the correlation among the core disciplines are strong.