文章基于共现分析理论，利用CNKI数据源，运用SCI2、Pajek、Louvain、Vosviewer和Cortext等多种社会网络分析方法和可视化工具，描绘2000年以来中国政府数据开放研究的主题关联结构和动态演化过程。研究发现：（1）研究的主题主要集中于电子政务、大数据、公共数据、安全和隐私、数据质量和信用信息体系等；以电子政务、大数据和公共数据为中心的研究处于重要地位，但尚未成熟；数据安全和隐私相关的研究处于重要地位，而且
发展成熟；而数据质量和信用信息体系的研究发展较为成熟，但处于边缘地位。（2）政府数据开放研究在主题分布和研究方向上具有不平衡性；部分研究主题演化脉络清晰，但存在诸多孤立主题或断续现象。（3）中国政府的政策对中国政府数据开放研究的影响较大；政府数据开放相关的政策、法规等管理问题的研究有待细化和深化；相关技术问题研究的新颖性与可持续性有待增强；人才培养研究亟待引起重视。

Based on co-occurrence analysis theory, this study uses data samples from CNKI, combines various social network analysis and visualization tools such as SCI2、Pajek、Louvain、Vosviewer and Cortext to describe thematic correlated structures, dynamic evolution process in OGD research in China. Findings indicate that (1) research focus on egovernment, big data, public data, security, credit information, and data quality, studies concentrated on e-government, big data and public data are important and immature, studies focusing on security are significant and well developed and mature, and research on data quality and credit information system is highly developed but marginal. (2) OGD research is imbalanced in theme distribution and research direction; the evolution of several themes is clear while discontinued and isolated themes existing. (3) the government policy exerts great influences on research of OGD in China; research on policies and law needs to be refined and technical research needs to be enhanced; the research on data literacy instructions needs to be promoted.