研究论文

数字信任视角下科学数据共享内涵特征与要素分析

  • 吴欣雨 ,
  • 吴振新 ,
  • 李涵昱
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  • 1 中国科学院文献情报中心 北京 100190;
    2 中国科学院大学经济与管理学院信息资源管理系 北京 100190
吴欣雨,博士研究生;吴振新,研究馆员,博士生导师,通信作者,E-mail: wuzx@mail.las.ac.cn;李涵昱,副研究馆员,博士研究生。
32305.14.CN11-1541.2026.18.008

收稿日期: 2025-06-30

  修回日期: 2025-10-31

  网络出版日期: 2026-09-08

基金资助

本文系中国科学院文献情报能力建设专项课题“基于可信数字环境的数字学术服务内容研究”(项目编号: E1290916)和中国科学院文献情报能力建设专项课题“可信数字学术基础环境构建方法研究”(项目编号: E1290913)研究成果之一。

Analysis of the Connotation, Characteristics, and Elements of Scientific Data Sharing from the Perspective of Digital Trust

  • Wu Xinyu ,
  • Wu Zhenxin ,
  • Li Hanyu
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  • 1 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2 Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
Wu Xinyu, Doctoral Candidate; Wu Zhenxin, Research Librarian, Doctoral Supervisor, Corresponding Author, E-mail: wuzx@mail.las.ac.cn; Li Hanyu, Associate Research Librarian, Doctoral Candidate.

Received date: 2025-06-30

  Revised date: 2025-10-31

  Online published: 2026-09-08

Supported by

This work is supported by the special projects for Literature and Information Capacity Building of the Chinese Academy of Sciences, titled “Research on Digital Academic Service Content Based on a Trusted Digital Environment” (Grant No. E1290916) and “Research on the Construction Methods of a Trusted Digital Academic Infrastructure” (Grant No. E1290913).

摘要

[目的/意义] 科学数据作为科研产出的核心内容,其可信开放共享对提高数据价值、促进合作交流和推动学术创新至关重要,构建信任驱动的共享模式有助于形成可持续的科学数据生态。[方法/过程] 借鉴我国可信数据空间的理念及相关实践要求,在厘清数字信任的概念及特征的基础上,形成科学数据共享的新内涵特征与信任要素,对各信任要素进行剖析,并以数字科学实验记录本作为案例进行优化分析。[结果/结论] 科学数据共享信任要素包括支撑共享的可信基础环境、参与共享的可信数字身份和安全共享的可信科学数据,三者共同作用形成数字信任视角下的数据共享可信生态体系。对内涵特征和要素进行分析能够提高共享参与方之间信任程度,增加研究人员的共享意愿,为数字学术生态中数据共享信任体系建设提供有益参考。

本文引用格式

吴欣雨 , 吴振新 , 李涵昱 . 数字信任视角下科学数据共享内涵特征与要素分析[J]. 图书情报工作, 2026 , 70(18) : 105 -117 . DOI: 10.13266/j.issn.0252-3116.2026.18.008

Abstract

[Purpose/Significance] As a core research output, scientific data must be shared in a trustworthy and open manner to enhance its value, promote collaboration, and drive academic innovation. Establishing a trust-driven sharing model contributes to the development of a sustainable scientific data ecosystem. [Method/Process] Drawing on the concept and practical requirements of China’s trusted data space, this study establishes new connotations and trust elements of scientific data sharing, analyzes these elements in depth, and further conducts a case-based optimization analysis using a digital scientific notebook. [Result/Conclusion] The trust elements of scientific data sharing include a trusted foundational environment that supports sharing, trusted digital identities of participants, and trusted scientific data that ensures secure sharing. These elements collectively form a trusted data-sharing ecosystem from the perspective of digital trust. Analyzing these connotations, characteristics, and elements enhances the trust among participants, increases researchers’ willingness to share data, and provides a valuable reference for building a trust framework for data sharing in the digital academic ecosystem.

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