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作 者:任勇[1] 刘乐明[1] REN Yong;LIU Leming(School of Political Science and Public Administration,East China University of Political Science and Law,Shanghai 201620,China)
机构地区:[1]华东政法大学政治学与公共管理学院,上海201620
出 处:《江西师范大学学报(哲学社会科学版)》2020年第3期14-19,共6页Journal of Jiangxi Normal University(Philosophy and Social Sciences Edition)
基 金:国家社会科学基金项目“特大城市少数民族流动人口族群认同与社会稳定研究”(编号:16BZZ024)。
摘 要:随着大数据在国家治理过程中应用越来越广泛,其对国家治理效能的提升效应也越来越明显。但在这个过程中,大数据分别在挖掘与采集、存储与管理、开发与应用三大方面产生了相应的风险,进而影响国家治理效能的提升。要对大数据应用过程中的风险进行防控,就需要结合具体的风险要素来展开。具体来看,从源头防控大数据挖掘与采集风险,从管理与技术层面防控大数据的存储与管理风险,从数据共享层面防控大数据开发与应用风险,以此共同提升国家治理的效能。As the application of big data in the process of national governance more and more widely,its effect on the improvement of national governance efficiency is more and more obvious.However,in this process,big data also poses corresponding risks in three aspects,namely,mining and collection,storage and management,and development and application,thus affecting the improvement of national governance efficiency.In order to control risks in the application of big data,it needs to be combined with specific risks.Specifically,we should control risks of data mining and collection from the source,data storage and management from the management and technical level and big data development and application from the data sharing level,so as to jointly improve the efficiency of national governance.
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