数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (5): 36-45.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.05.004

doi: 10.11871/jfdc.issn.2096-742X.2024.05.004

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数据要素价值演进路径研究

胡良霖1,2(),王丽娜1,3,王瑞丹4,*(),郭德鑫5,朱艳华1,2,高瑜蔚1,2,孙毅6   

  1. 1.中国科学院计算机网络信息中心，北京 100083
    2.国家基础学科公共科学数据中心，北京 100083
    3.中国科学院大学，计算机科学与技术学院，北京 100049
    4.国家科技基础条件平台中心，北京 100038
    5.农信银资金清算中心有限责任公司，北京 100029
    6.中国科学院大学，经济与管理学院，北京 100190
  • 收稿日期:2024-04-22 出版日期:2024-10-20 发布日期:2024-10-21
  • 通讯作者: * 王瑞丹（E-mail: ruidanw@sina.cn）
  • 作者简介:胡良霖，中国科学院计算机网络信息中心教授级高工，硕士研究生导师，主要研究方向为科学大数据、数据质量与大数据治理等。
    本文中负责论文整体构思、设计和修订。
    HU Lianglin is a professor and master supervisor at the Computer Network Information Center of the Chinese Academy of Sciences. His main research interests include scientific big data, data quality, and big data governance.
    In this paper, he is responsible for the overall conceptualization, design, and revision of this paper.
    E-mail: hull@cnic.cn|王瑞丹，国家科技基础条件平台中心研究员，主要研究方向为科学数据政策、管理、开放共享等。
    本文中负责提供论文思路，对论文进行修改。
    WANG Ruidan is a professor at the National Science and Technology Infrastructure Center, with main research interests in scientific data policy and its management and open sharing.
    In this paper, she is responsible for providing thesis ideas and revision of the paper.
    E-mail: ruidanw@sina.cn

Research on the Evolutionary Path of Data Factor Value

HU Lianglin1,2(),WANG Lina1,3,WANG Ruidan4,*(),GUO Dexin5,ZHU Yanhua1,2,GAO Yuwei1,2,SUN Yi6   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    2. National Basic Science Data Center, Beijing 100083, China
    3. School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
    4. National Science and Technology Infrastructure Center, Beijing 100038, China
    5. Rural Credit Banks Funds Clearing Center, Beijing 100029, China
    6. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
  • Received:2024-04-22 Online:2024-10-20 Published:2024-10-21

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摘要：

【目的】在数字经济时代，数据已经成为赋能经济发展的关键生产要素。研究表明数据要素质变升级的发展路径尚不明确，数据要素的价值释放面临诸多困难。【方法】本文系统研究了国内外相关文献及国家政策，总结分析了数据要素价值释放的研究现状，基于数据要素的价值提升，对我国数据要素发展路径展开相关研究。【结果】本文明确了从原始数据到数据资本的各类数据形态，提出了数据要素价值演进路径理论模型和数据要素发展路径。【结论】本研究厘清了数据要素“六状态”和价值演进 “五阶段”，对于规范数据要素发展具有政策参考和实践意义，为促进数据要素价值的有效释放提供有力支持。

关键词: 数据要素, 数据形态, 数据要素价值, 演变路径

Abstract:

[Objective] In the age of the digital economy, data has become a vital production component that supports economic growth. Research has indicated that it is uncertain how the data will evolve qualitatively, and the realization of their value faces many challenges. [Methods] This study summarizes and analyzes current research on the value realization of the data factor based on a thorough review of relevant literature and policies. Further on this basis, relevant research is carried out on the value-based evolutionary path of data factor in China. [Results] This paper clarifies different data forms, from raw data to data capital, and proposes a theoretical model for an evolutionary path for data factor value. [Conclusions] The “six states” of the data factor and the “five stages” of its value evolution are explained in this paper, which have practical implications for normalizing the evolution of the data factor and serve as solid evidence in favor of encouraging the efficient release of its value.

Key words: data factor, data form, data factor value, evolution path