行业数据空间价值网络的主体构成与建构特点——基于多案例的国际经验解析

doi:10.13366/j.dik.2025.05.031

图书情报知识 ›› 2025, Vol. 42 ›› Issue (5): 31-43.doi: 10.13366/j.dik.2025.05.031

• 专题(1)·可信数据空间 • 上一篇下一篇

行业数据空间价值网络的主体构成与建构特点——基于多案例的国际经验解析

夏义堃, 王雪, 蒋思琪

南京大学数据管理创新研究中心，苏州，215163

出版日期:2025-09-10 发布日期:2025-11-13
通讯作者: 王雪（ORCID: 0000-0002-5560-515X），博士研究生，研究方向：政府数据治理、数据空间，Email: wx@smail.nju.edu.cn。
作者简介:夏义堃（ORCD: 0000-0002-3875-1921），博土，教授，研究方向：政府数据治理、智能情报分析，Emai: xyk@nju.edu.cn; 蒋思琪（ORCD: 0009-0009-8798-237X），硕士研究生，研究方向：政府数据治理，Email: 191820083@smail.nju.edu.cn。
基金资助:
本文系南京大学党的创新理论—研究阐释二十届三中全会精神专项“构建全国一体化技术和数据市场的体制机制研究”（2025300088）的研究成果之一。

The Subject Composition and Constructive Characteristics of Industry Data Space Value Networks: An International Multi-Case Analysis

XIA Yikun, WANG Xue, JIANG Siqi

Research Institute for Data Management Innovation, Nanjing University, Suzhou, 215163

Online:2025-09-10 Published:2025-11-13
Contact: Correspondence should be addressed to WANG Xue, Email: wx@smail.nju.edu.cn, ORCID: 0000-0002-5560-515X
Supported by:
This is an outcome of the Special Project for Interpretation of the Spirit of the Third Plenary Session of the 20th Central Committee of the Communist Party of China "Research on the Institutional Mechanisms for Building a Nationally Integrated Technology and Data Market"（2025300088）supported by a grant from Nanjing University for the Research of Party's Innovation Theory.

摘要/Abstract

摘要： [目的/意义]聚焦行业数据空间价值网络，系统解析数据空间的主体构成、职能边界与协同关系，明确价值网络建构特点，以生态思维推动行业数据的可信流通。[研究设计/方法]基于生态协同理论，采用案例分析与比较分析法，选取4个典型行业案例为研究对象，通过多案例解析与特征提炼，归纳不同主体的权责边界与价值网络建构特点，分析其面临的现实挑战，并结合我国实际提出针对性的优化策略。[结论/发现]行业数据空间价值网络主要由召集方和资金提供方、运营方、监管方、服务提供方、规则制定方、数据提供方和使用方六类主体构成，总体呈现出主体多元性、协同交互性、规则共识性、分层递进性和价值共创性五大特征，并存在主体参与结构失衡、跨部门协同薄弱、动态应对不足和商业模式不明的问题。为此，我国有必要从强化整体布局、构建联动机制、增强网络韧性以及商业模式创新的不同维度加以改进。[创新/价值]揭示行业数据空间价值网络的主体构成与构建特点，为培育价值共创和多主体共生型可信数据生态提供参考。

关键词: 行业数据空间, 价值网络, 主体联动, 生态化建构, 数据流通

Abstract: [Purpose/Significance] Focusing on the industry data space value networks, this study aims to systematically analyze the subject composition, functional boundaries, and collaborative relationships within data spaces, clarify the characteristics of value network construction, and promote trusted industry data circulation through ecological thinking. [Design/Methodology] Based on ecological synergy theory, this study adopts case analysis and comparative analysis methods, selecting four typical industry cases as research objects. Through multi-case analysis and feature extraction, it summarizes the rights and responsibilities boundaries of different subjects and the construction characteristics of value networks, then identifies the practical challenges, and proposes targeted optimization strategies tailored to China's context. [Findings/Conclusion] The value networks of industrial data spaces primarily consist of six types of subjects: conveners and fund providers, operators, regulators, service providers, rule-makers, data providers and users. These networks exhibit five key characteristics: multi-stakeholder participation, collaborative interactivity, rule consensus, hierarchical progression, and value co-creation. However, there exist issues such as imbalanced stakeholder participation structures, weak cross-sector collaboration, insufficient dynamic adaptability, and unclear business models. Therefore, it is necessary for our country to enhance its approach from multiple dimensions, including strengthening comprehensive strategic planning, building linkage governance mechanisms, enhancing network resilience, and innovating business model. [Originality/Value] This research reveals the subject composition and constructive features of industry data space value networks, offering insights for fostering trusted data ecosystems grounded in value co-creation and multi-subject symbiosis.

Keywords: Industry data spaces, Value networks, Subject linkage, Ecological construction, Data circulation

夏义堃, 王雪, 蒋思琪. 行业数据空间价值网络的主体构成与建构特点——基于多案例的国际经验解析[J]. 图书情报知识, 2025, 42(5): 31-43.

XIA Yikun, WANG Xue, JIANG Siqi. The Subject Composition and Constructive Characteristics of Industry Data Space Value Networks: An International Multi-Case Analysis[J]. Documentation, Informaiton & Knowledge, 2025, 42(5): 31-43.

[1]	胡峰. 流动的丰盈：面向可信数据空间建设的理论观照与实践观察[J]. 图书情报知识, 2025, 42(5): 6-18, 65.
[2]	夏义堃, 管茜, 李纲. 数据信托的内涵、生成逻辑与实现路径——基于数据流通视角的分析[J]. 图书情报知识, 2022, 39(5): 109-119.

行业数据空间价值网络的主体构成与建构特点——基于多案例的国际经验解析

The Subject Composition and Constructive Characteristics of Industry Data Space Value Networks: An International Multi-Case Analysis

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