摘要
针对目前大数据治理研究仍局限于从单一学科视角和单一层面进行讨论,缺少对大数据治理体系构建的体系化研究的现状,采用多学科综合集成方法,通过系统文献调研及案例研究的方法,将宏观、中观与微观3个层次的体系构成要素进行了有机融合,提出了宏观层面的多元主体合作联盟共治、中观层面的多层次活动流程联通共生、微观层面的多维度要素联结共赢的大数据治理体系框架及其实现的有效路径,对促进大数据治理体系构成要素的互联、互通、互动,产生整体性、成套性和针对性效用,具有理论意义和实践价值。
Limited by single disciplinary perspective from disparate aspects at different levels, there is lack of systematic study on big data governance system building in current literature. A systematic review of literature and case studies under multidisciplinary and meta-synthetic thinking was conducted. Three levels of system framework consisting of the macro-level,meso-level and micro-level as an organic whole were proposed, forming the cooperation alliance of multi-subjects at the macro-level for effective collaboration and co-governance, the multi-level activity processes at the meso-level for effective communication and co-existence, and multi-dimensional elements at the micro-level for effective connectivity and winwin. Such a proposed framework has theoretical significance and pragmatic value to improve the interdependence,interconnectivity and interaction of the key components of a big data governance system.
引文
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