政府大数据治理体系下的实践研究——基于上海、北京、深圳的比较分析

[目的/意义]随着政府大数据体量增加,数据治理不足是其价值实现的突出问题,研究政府大数据治理体系和实践,对于提高大数据应用水平和效率,促进社会智能化发展至关重要。[方法/过程]基于国内外大数据治理研究成果,构建了由组织结构、规则标准、技术支持三个关键域组成的政府大数据治理体系;并借助Nvivo 11 Plus质性分析工具,对上海、北京、深圳三个城市的43份大数据治理相关政策文本进行编码,与治理体系构成要素进行映射分析。[结果/结论]编码结果支持和解释了政府大数据治理体系关键域及其构成要素,同时,尽管政府大数据治理体系关键域相同,但从政策层面看,政府大数据治理实践存在不同的侧重点和针对性特征,对指导我国政府大数据治理有一定的借鉴意义。

Research on the Practice under Government Big Data Governance System:Comparative Analysis Based on Shanghai,Beijing and Shenzhen

[Purpose/significance]As the volume of government big data increases, insufficient data governance is a prominent problem in realizing its value. Research on government big data governance system and practice is crucial to improve the level and efficiency of big data application and promote the development of social intelligence.[Method/process]Based on the research results of big data governance at home and abroad, a government big data governance system is constructed, which consists of three key domains: organizational structure, rules and standards, and technical support. With the help of Nvivo 11 Plus qualitative analysis tool, 43 policy texts related to big data governance in Shanghai, Beijing and Shenzhen are encoded and mapped with the constituent elements of the governance system.[Result/conclusion]The coding results support and explain the key domains of the government big data governance system and its constituent elements. At the same time, although the key domains of the government big data governance system are the same, from the policy level, the government big data governance practice has different emphases and targeted characteristics, which has certain reference significance for guiding our government big data governance.