图书情报知识 ›› 2026, Vol. 43 ›› Issue (3): 118-128.doi: 10.13366/j.dik.2026.03.118

• 情报、信息与共享 • 上一篇    下一篇

场景驱动数据要素价值化的作用机制分析

李海涛, 王春蕾   

  1. 中山大学信息管理学院,广州,510006
  • 出版日期:2026-05-10 发布日期:2026-07-26
  • 通讯作者: 王春蕾(ORCID: 0009-0001-0632-1505),博士研究生,研究方向:数据要素价值化、数据要素市场,Email: wangchlei6@mail2.sysu.edu.cn。
  • 作者简介:李海涛(ORCID: 0009-0003-6025-0490),博士,教授,研究方向:政府信息资源管理、企业档案管理,E-mail: lihait9@mail.sysu.edu.cn。
  • 基金资助:
    本文系国家社会科学基金项目“图书馆编目数据化的理论与实践研究”(20BTQ017)的研究成果之一。

Analysis of Mechanism of Scenario-Driven Valorization of Data Elements

LI Haitao, WANG Chunlei   

  1. School of Information Management, Sun Yat-sen University, Guangzhou, 510006
  • Online:2026-05-10 Published:2026-07-26
  • Contact: Correspondence should be addressed to WANG Chunlei, Email: wangchlei6@mail2.sysu.edu.cn, ORCID: 0009-0001-0632-1505
  • Supported by:
    This is an outcome of the project "Theoretical and Practical Research on Library Cataloging Datafication"(20BTQ017)supported by National Social Science Foundation of China.

摘要: [目的/意义] 探究场景在数据要素价值化中的作用机制,抓住场景与数据要素价值化匹配的内在逻辑要点,为加快释放数据要素价值提供参考。[研究设计/方法] 对《2024年“数据要素×”优秀项目案例集》和《“数据要素×”典型案例》(第一批至第三批)中的198个案例进行编码分析,构建场景驱动数据要素价值化的“内融—外驱”作用机制模型。[结论/发现] 场景驱动数据要素价值化的作用机制分为“内融作用”和“外驱作用”两部分,表现为场景先融入数据采集、组织、流通、利用四个环节中,后以需求为导向、以技术为载体、以协作为中心、以平台为依托驱动数据要素价值化。[创新/价值]除关注场景的“应用属性”外,更聚焦场景的“工具属性”,探究场景对数据要素价值化的“内融—外驱”作用机制。

关键词: 数据要素, 数据要素价值化, 场景, 场景驱动

Abstract: [Purpose/Significance] This paper aims to investigate the mechanism through which application scenarios facilitate data element valorization, elucidate the intrinsic logical key points of the matching between specific scenarios and data element valorization, and provide actionable insights to accelerate the release of the value of data elements. [Design/Methodology] A coding analysis was conducted on 198 cases from the 2024 "Data Element×" Excellent Project Case Collection and the "Data Element×" Typical Cases(First to third batches)to construct an "internal integration-external drive" mechanism model for data factor valorization driven by context. [Findings/Conclusion] The mechanism through which the scenarios drive the data factor valorization comprises two components: internal integration and external drive. Specifically, scenarios are first embedded into four key stages: data collection, organization, circulation, and utilization, and then promote data factor valorization through a coordinated process that is demand-oriented, technology-enabled, collaboration-centered, and platform-supported. [Originality/Value] In addition to examining the "application attributes" of the scenarios, this study places more emphasis on their "instrumental attributes", exploring how scenarios function through an "internal integration- external driving" mechanism in the process of data factor valorization.

Keywords: Data elements, Data element valorization, Scenario, Scenario-driven