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基于数据要素流通视角的数据溯源研究进展 被引量:9

Research Progress of Data Traceability from the Perspective of Data Element Circulation
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摘要 【目的】通过文献梳理分析数据溯源研究进展及应用场景,以期为数据交易平台搭建、行业数据治理建设和数字政府治理建设提供参考。【方法】从数据溯源模型、数据溯源方法和数据溯源应用分别进行归纳和分析,并在此基础上探讨研究现状和不足之处。【结果】无论是在内容描述、模型构建,还是场景应用方面,数据溯源研究均取得了丰富成果,表现为数据溯源质量得以提高、数据溯源安全得以保障、数据溯源效率得以提升。【局限】基于要素流通视角对数据溯源的研究起步相对较晚、研究成果不够丰富、研究体系尚未形成、研究重点偏向实证。【结论】可从与数据要素市场相结合,积极推进数据交付使用常态化;加快推进数据溯源标准工作,积极推进数据使用工作制度化;不断提升数据溯源信息质量,积极推进数据服务优质化;高度重视数据溯源信息安全,积极推进数据信息使用规范化;高标准搭建数据溯源平台,积极推动数据要素市场健康化发展等方面进行深入研究。 [Objective]The research progress and application scenarios of data traceability are analyzed through literature review,in order to provide reference for the construction of data trading platform,the construction of industrial data governance and the construction of digital government governance.[Methods]The data traceability model,data traceability method and data traceability application are summarized and analyzed,and on this basis,the research status and shortcomings are discussed.[Results]Whether in content description,model construction or scene application,data traceability research has achieved rich results,such as improving the quality of data traceability,ensuring the safety of data traceability and improving the efficiency of data traceability.[Limitations]The research on data traceability from the perspective of factor circulation started relatively late,the research results were not rich enough,the research system had not been formed,and the research focus was biased towards empirical research.[Conclusions]We can actively promote the normalization of data delivery and use by combining with data factor market;speed up the work of data traceability standards,and actively promote the institutionalization of data use;continuously improve the quality of data traceability information,and actively promote the quality of data services;attach great importance to data traceability information security,and actively promote the standardization of data information use;to build a high standard data traceability platform,and actively promote the healthy development of data factor market.
作者 王晓庆 孙战伟 吴军红 杜自然 钱城江 Wang Xiaoqing;Sun Zhanwei;Wu Junhong;Du Ziran;Qian Chengjiang(School of Public Administration,Nanjing University of Finance&Economics,Nanjing 210003,China;College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Hongshan College,Nanjing University of Finance&Economics,Nanjing 210003,China;Department of Platform Research and Development,Business School,Nanjing Normal University,Nanjing 210023,China;Department of Platform Research and Development,Greater Bay Area Big Data Research Institute,Shenzhen 518048,China;Nanjing NJtech Safety Co.,Ltd,Nanjing 210047,China)
出处 《数据分析与知识发现》 CSSCI CSCD 北大核心 2022年第1期43-54,共12页 Data Analysis and Knowledge Discovery
基金 国家社会科学基金青年项目(项目编号:18CSH018)的研究成果之一。
关键词 数据流通 数据溯源 管理模型 数据要素 Data Circulation Data Traceability Management Model Data Factor
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