[目的/意义] 政府数据治理问题研究是当前政府信息管理领域的前沿热点问题，对于有效衔接和推进政府信息公开、开放数据以及公共信息再利用等政府信息管理的关键问题具有重要理论指导意义。[方法/过程] 通过文献调研、概念比较、背景分析以及逻辑推导等方法，着重探讨政府数据治理概念的内涵与构成要素，并从数据驱动型行政、经济、社会以及数据风险防范等角度指出政府数据治理概念出现的必然性。[结果/结论] 站在宏观、中观和微观的不同视角详尽分析政府数据治理的主要内容和程序，进而指出其在体系结构的整体性、管理的有序化以及治理结构的耦合性、风险应对的紧迫性等方面的基本特征。最后，着重分析政府数据治理在与IT融合、内外融合以及价值融合过程中所面临的主要问题和挑战。
[Purpose/significance] The research on government data governance is a hotspot in the field of government information management, it has important theoretical meaning and practical value to connect and promote the key issues of government information management, such as government information disclosure, open data and public information reuse. [Method/process] By the methods of literature review, concept comparison, background analysis and logical reasoning, this paper focused on the connotation of government data governance and its constituent elements, pointed out the necessity of its concept generation from the aspects of data driven administration, economic development, social governance and data risk prevention. [Result/conclusion] In this paper, the main content and procedure of government data governance are introduced and analyzed from three different perspectives of macroscopic, midscopic and microscopic. Then, it further presents four fundamental characters of government data governance:architecture integrity, management orderly, governance of structural interaction and the urgency of risk response. At last, it analyzes the main problems and challenges faced by government data governance which produce during it integrates with IT technology, internal and external governance systems and different data values, and then, puts forward some countermeasures.
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