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Data Analysis and Knowledge Discovery  2022, Vol. 6 Issue (1): 43-54    DOI: 10.11925/infotech.2096-3467.2022.0017
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Research Progress of Data Traceability from the Perspective of Data Element Circulation
Wang Xiaoqing1,2,3,Sun Zhanwei1,Wu Junhong4,Du Ziran5,Qian Chengjiang6()
1School of Public Administration, Nanjing University of Finance & Economics, Nanjing 210003, China
2College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
3Hongshan College, Nanjing University of Finance & Economics, Nanjing 210003, China
4Department of Platform Research and Development, Business School, Nanjing Normal University, Nanjing 210023, China
5Department of Platform Research and Development, Greater Bay Area Big Data Research Institute, Shenzhen 518048, China
6Nanjing NJtech Safety Co., Ltd, Nanjing 210047, China
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[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.

Key wordsData Circulation      Data Traceability      Management Model      Data Factor     
Received: 15 December 2021      Published: 22 February 2022
ZTFLH:  TP391  
Fund:National Social Science Fund of China(18CSH018)
Corresponding Authors: Qian Chengjiang,ORCID:0000-0002-0559-005X     E-mail:

Cite this article:

Wang Xiaoqing, Sun Zhanwei, Wu Junhong, Du Ziran, Qian Chengjiang. Research Progress of Data Traceability from the Perspective of Data Element Circulation. Data Analysis and Knowledge Discovery, 2022, 6(1): 43-54.

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Data Flow Process Diagram
Cluster Analysis of Literature Retrieval Results

作用 使用技术/模型
重大突发事件 舆情管控 区块链,人工智能,大数据等
电子商务 商品溯源,防信息篡改 区块链等
企业经营 数据管理,指标管理 W7,OPM等
科学研究 数据存储,数据共享 区块链,数据标识技术等
Applications in Various Fields
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