摘要
[目的/意义]数据已成为关键生产要素和战略性资源,大数据治理是充分释放数据价值、实现国家治理体系和治理能力现代化的重要途径。[方法/过程]本研究在文献计量与内容分析的基础上,对国内大数据治理的相关研究进行了系统梳理和内容评述,发现近年来有关大数据治理的研究热度不断上升,并将相关研究主题概括为概念体系、实施评估与实践挑战3个方面。[结果/结论]研究发现大数据治理体系基本是从治理目标、治理主体、治理客体以及治理工具4个方面进行构建,治理的实施评估重点围绕数据生命周期、数据质量、数据安全、数据治理成熟度、数据审计等内容,实践挑战主要表现在大数据治理领域所面临的管理和技术问题。
[Purpose/Significance] With the rapid development of information technology and the arrival of the era of big data, big data has become a key production factor and a strategic fundamentally resource for a country. Big data governance has become an important way to fully release data value and realize the modernization of national governance system and governance capacity. This study reviews the related research on big data governance, in order to better play its positive role as a new production factor and a means of social governance. [Method/Process] On the basis of bibliometrics and content analysis, this study systematically reviews the relevant research on big data governance in China, and finds that the research on big data governance has been rising in recent years. The relevant research topics have also displayed characteristics such as wide diversity and multidisciplinary integration. The core topics involved in the research include big data governance, social governance, government governance, big data technology, data resources, network public opinion, risk governance, and data security. The research on the big data governance system of the whole process is the most critical part. [Results/Conclusions] This study classified the relevant research topics into three aspects: theoretical system,implementation evaluation and practical challenges. The big data governance system is a complex, multi-level and multi-dimensional systematic project, which consists of governance goals, governance subjects, governance objects and governance tools. Big data governance implementation and evaluation includes three stages: organizational planning, specific implementation, evaluation and optimization. The organizational planning stage includes formulating implementation guidelines and constructing governance organizations;the specific implementation stage includes metadata management, master data management, data quality and data security;the evaluation optimization phase includes big data governance maturity evaluation and big data governance audit. The practice of big data governance focuses on three aspects: the Chinese government actively uses big data to improve scientific decision-making ability, social management level and public service construction. The practical challenges are mainly reflected in the management and technical challenges faced by data-centered fields. As an open topic and dynamic process, big data governance is still mostly based on conceptual and descriptive qualitative analysis, and focuses on theoretical discussion and experience summary. There is still a lack of relevant case support and technology application research, and the design and implementation evaluation of the big data governance system still needs to be improved and optimized.
作者
宋姗姗
白文琳
SONG Shanshan;BAI Wenlin(Wuhan library,Chinese Academy of Sciences,Hubei Wuhan 430071;Department of Library,information and Archives Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100049;Management School,Tianjin Normal University,Tianjin 300387)
出处
《农业图书情报学报》
2022年第4期4-17,共14页
Journal of Library and Information Science in Agriculture
基金
中国人民大学科研基金重大项目“政府大数据治理与综合利用的标准化协同管理体系构建及其应用研究”(21XNL019)。
关键词
大数据
大数据治理
治理体系
治理实施评估
big data
big data governance
governance system
governance implementation evaluation
