| 大数据治理体系构建方法论框架研究 |
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| 引用本文： | 安小米,王丽丽.大数据治理体系构建方法论框架研究[J].图书情报工作,2019,63(24):43-51. |
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| 作者姓名： | 安小米 王丽丽 |
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| 作者单位： | 1. 中国人民大学信息资源管理学院 北京 100872;
2. 数据工程与知识工程教育部重点实验室 北京 100872;
3. 中国人民大学电子政务研究中心 北京 100872 |
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| 基金项目： | 本文系国家自然科学基金重点培育项目"面向政府决策的大数据共享与治理机制"子项目"大数据治理规则体系研究"（项目编号：91646127）和国家社会科学基金重大项目"云计算环境下的信息资源集成与服务研究"（项目编号：12&ZD220）研究成果之一。 |
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| 摘 要： | 目的/意义] 弥补大数据治理体系构建方法论研究的不足,提出更具通用性的大数据治理体系构建方法论框架。方法/过程] 从方法论概念入手,对ISO国际标准化组织关于方法论的定义和现有的方法论研究成果进行系统梳理,识别出方法论要素及类别,并构建方法论框架;基于给定的方法论框架,从理论、概念模型、原则和规则、过程和程序、方法和评估标准等方法论要素对现有大数据治理研究成果进行映射分析;在综合集成大数据治理体系构建方法论要素的基础上,结合戴明环（PDCA）的理论基础对当前大数据治理体系构建方法论进行修正和补充。结果/结论] 明晰了当前大数据治理体系构建方法论的要素及其关系,并从综合集成视角提出大数据治理体系构建方法论框架构想。
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| 关 键 词： | 大数据治理 大数据治理体系 方法论 方法论框架 方法论要素 |
| 收稿时间： | 2019-03-24 |
Research on Methodology Framework for Big Data Governance System Building |
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| An Xiaomi,Wang Lili.Research on Methodology Framework for Big Data Governance System Building[J].Library and Information Service,2019,63(24):43-51. |
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| Authors: | An Xiaomi Wang Lili |
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| Institution: | 1. School of Information Resource Management, Renmin University of China, Beijing 100872;
2. Key Laboratory of Data Engineering and Knowledge Engineering(Renmin University of China), Beijing 100872;
3. E-government Research Center(Renmin University of China), Beijing 100872 |
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| Abstract: | Purpose/significance] This paper aims to fill in the gaps in research that not enough attention is paid to the methodology for big data governance system building, and puts forward more generic methodology framework for construction of big data governance system.Method/process] By defining concepts of methodology and the methodology framework, this paper systematically analyzes definitions of ISO and the relevant studies, identifies key components of methodology and the types of components and then proposes a methodology framework for construction of big data governance system. Based on given methodology framework, this paper analyzes the existing studies of big data governance system from 6 methodological components, including theory, conceptual model, principles and rules, processes and procedures, approaches and methods and the evaluation criteria. Based on the integration of key components of methodologies of big data governance system building, this paper recommends a Deming Cycle (PDCA) based approach for an integrated framework for big data governance system building.Result/conclusion] The paper clarifies key issues of research about the existing methodology for big data governance system building,and provides a methodology framework for big data governance system building from a meta-synthetic research perspective. |
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| Keywords: | big data governance big data governance system methodology methodology framework methodology components |
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