政策主题视角下的国际数据治理相关政策计算与剖析

doi:10.13366/j.dik.2025.06.112

图书情报知识 ›› 2025, Vol. 42 ›› Issue (6): 112-124.doi: 10.13366/j.dik.2025.06.112

政策主题视角下的国际数据治理相关政策计算与剖析

霍朝光^1,3, 袁瑞瑞¹, 霍帆帆²

1.中国人民大学信息资源管理学院, 北京, 100872;
2.中国科学技术信息研究所, 北京, 100038;
3.中国人民大学数字人文研究院, 北京, 100872

出版日期:2025-11-10 发布日期:2026-01-17
通讯作者: 霍帆帆（ORCID: 0000-0001-8392-8995），博士，助理研究员，研究方向：科技情报与数据治理，Email: huo_ff@163.com。
作者简介:霍朝光（ORCID: 0000-0002-5063-0938），博士，副教授，研究方向：政策信息学与大模型，Email: huochaoguang@ruc.edu.cn；袁瑞瑞（ORCID: 0009-0007-7698-7058），硕士研究生，研究方向：数据治理与政策智能，Email: 1793876091@qq.com。
基金资助:
本文系国家自然科学基金面上项目“基于图机器学习的学科交叉主题识别与预测研究”（72374202）和国家自然科学基金青年项目“基于广度学习的学科主题演化预测研究”（72004221）的研究成果之一。

Computing and Analysis of International Data Governance Policies from the Policy Topic Perspective

HUO Chaoguang^1,3, YUAN Ruirui¹, HUO Fanfan²

1. School of Information Resource Management, Renmin University of China, Beijing, 100872;
2. Institute of Scientific and Technical Information of China, Beijing, 100038;
3. School of Digital Humanities, Renmin University of China, Beijing, 100872

Online:2025-11-10 Published:2026-01-17
Contact: Correspondence should be addressed to HUO Fanfan, Email:huo_ff@163.com, ORCID: 0000-0001-8392-8995
Supported by:
This is an outcome of the project "Interdisciplinary Topic Identification and Prediction based on Graph Machine Learning"（72374202）and the Youth Project "Prediction of Scientific Topic Evolution Based on Broad Learning"（72004221）, both supported by National Natural Science Foundation of China.

摘要/Abstract

摘要： [目的/意义]数据治理关乎我国数字经济发展，是一项国际难题，国际数据治理经验对于我国数据治理具有重要借鉴意义。通过对国际数据治理政策进行分析，总结国际经验，为我国数据治理提供参考。[研究设计/方法]以国际政策权威数据库Overton中的23,710份数据治理相关政策为例，抽取政策主题，通过主题相似性计算分析国际数据治理政策在时间维度方面的波动情况，解析其时间演化特征；通过词频统计和凝聚子群分析，从空间维度揭示全球数据治理政策主题的地理分布和主题派系划分情况。[结论/发现]国际数据治理政策关注的重点是如何统筹经济利益和公共利益问题；在时间维度方面，国际数据治理政策焦点始终处于大幅波动状态，经历了由早期关注技术到重视经济效益的转变，越发强调对伦理道德、公平正义的重视；在空间维度方面，各国数据治理政策呈现出明显的国情特色，全球数据治理主题派系划分明显受约于各国的经济发展水平。[创新/价值]研究结果对于指导我国如何构建面向全球化、根植国情民生的数据治理政策体系具有价值和意义。

关键词: 国际数据治理, 数据治理政策, 政策分析, 政策主题, 主题相似度

Abstract: [Purpose/Significance] Data governance is crucial to the development of China's digital economy. Data governance is an international challenge, and international experiences in data governance can provide valuable insights for China. Therefore, this paper aims to analyze international data governance policies, summarize international experiences, and provide references for data governance in China. [Design/Methodology] Using 23,710 data governance-related policies from Overton, a authority international policy database, as a case study, this paper extracted policy themes and conducted an analysis of the temporal fluctuations in international data governance policies through topic similarity calculation. Additionally, it examined their temporal evolution characteristics. By employing word frequency statistics and condensed subgroup analysis, this paper uncovered the geographical distribution and thematic factions of global data governance policy topics from a spatial perspective. [Findings/Conclusion] The study finds that the focus of international data governance policies are on how to coordinate economic interests and public interests. Over time, the international data governance policies have been in a state of significant fluctuation, experiencing a shift from an initial focus on technology to a prioritization of economic benefits, and to a growing emphasis on the importance of ethical morality and fairness and justice. In terms of space, the data governance policies of various countries show distinct national characteristics, and the formation of global data governance factions of topic is significantly influenced by the economic development level of each country. [Originality/Value] The research results have important value in guiding China on how to build a data governance policy system that is oriented towards globalization and rooted in national conditions and people's livelihood.

Keywords: International data governance, Data governance policy, Policy analysis, Policy topic, Topic similarity

霍朝光, 袁瑞瑞, 霍帆帆. 政策主题视角下的国际数据治理相关政策计算与剖析[J]. 图书情报知识, 2025, 42(6): 112-124.

HUO Chaoguang , YUAN Ruirui, HUO Fanfan. Computing and Analysis of International Data Governance Policies from the Policy Topic Perspective[J]. Documentation, Informaiton & Knowledge, 2025, 42(6): 112-124.

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政策主题视角下的国际数据治理相关政策计算与剖析

Computing and Analysis of International Data Governance Policies from the Policy Topic Perspective

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