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数据社会化视角下的数据流通安全治理:五位一体框架

Data circulation security governance from the perspective of data socialization:a five-sphere framework
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摘要 数据已成为驱动经济增长、社会进步和技术创新的关键要素。数据活动不再局限于单个组织,而是通过数据社会化过程,突破传统组织边界,跨组织跨域流通进入社会化再生产阶段,成为社会化生产要素。数据安全治理焦点从内循环转变为外循环,其重要性凸显。从社会化生产理论出发,阐述数据社会化过程,剖析数据流通安全治理的特性,进而形成“五位一体”的数据流通安全治理框架,涵盖技术、产业、标准、政策和实践。其中,技术体系为数据流通提供安全技术能力;产业体系培育产业生态,促进降本增效;标准体系通过促进标准化降低协同难度;政策体系构建政策机制以提供创新环境;实践体系通过提供示范指引以推广应用。该框架旨在弥合数据流通利用和安全之间的差距,促进二者的长效统一,为构建安全、高效、可持续的数据流通安全治理体系提供理论指导和实践参考,从而加速数据社会化进程。 Data has become a key driver for economic growth,social progress,and technological innovation.Data activities are no longer confined to individual organizations but transcend traditional organizational boundaries through the process of data socialization,entering into social reproduction phase through cross-organizational and cross-domain circulation,thus becoming a socialized production factor.The focus of data security governance shifts from internal to external circulation,highlighting the importance of data circulation security governance.The paper starts from the theory of socialized production to elaborate on the process of data socialization,then analyzes the characteristics of data circulation security governance.Subsequently,this inspires a"five-sphere"framework for data circulation security governance,which includes five systems:technology,industry,standards,policy and practice.The technology system provides secure technical capabilities for data circulation,the industry system fosters industrial ecosystems to promote cost reduction and efficiency improvement,the standards system reduces coordination difficulties by promoting standardization,the policy system constructs policy mechanisms to provide an innovative environment,and the practice system provides demonstration guidelines to promote application.This framework aims to bridge the gap between the utilization and security of data circulation,promoting their long-term unity,offering theoretical guidance and practical references for building a secure,efficient and sustainable data circulation security governance system,and accelerating the process of data socialization.
作者 黄科满 许多 杜小勇 HUANG Keman;XU Duo;DU Xiaoyong(School of Information,Renmin University of China,Beijing 100086,China;Key Laboratory of Data Engineering and Knowledge Engineering,Beijing 100086,China)
出处 《大数据》 2024年第6期5-15,1,共12页 Big Data Research
基金 国家自然科学基金项目(No.62172425) 国家数据局课题(No.SJ-ZC-2024004) 中国人民大学中央高校基本科研业务费专项资金项目(No.22XNKJ04) 中国科学院学部咨询评议项目(No.2023-ZW-02-A-013)。
关键词 数据社会化 数据流通安全 数据流通安全治理 五位一体框架 data socialization data circulation security data circulation security governance five-sphere framework
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