中国科技期刊研究 ›› 2026, Vol. 37 ›› Issue (2): 238-247. doi: 10.11946/cjstp.202511101386

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责任主体视角下我国科学数据出版的主要障碍及应对建议

张家烁1,2)()(), 金帆1), 陈洪侃1), 张小凡1,2), 黄国彬1,2),*()()   

  1. 1)北京大学信息管理系,北京市海淀区颐和园路5号 100871
    2)北京大学出版研究院,北京市海淀区颐和园路5号 100871
  • 收稿日期:2025-11-10 修回日期:2026-02-05 出版日期:2026-02-25 发布日期:2026-04-01
  • 通讯作者: 黄国彬
  • 作者简介:

    张家烁(ORCID:0009-0007-2220-6500),博士研究生,E-mail:

    金 帆,博士研究生

    陈洪侃,博士研究生

    张小凡,博士,助理研究员。

    张家烁:设计论文框架,撰写初稿,修改论文并定稿; 金 帆:收集数据,撰写初稿,图表制作与美化; 陈洪侃:设计论文框架,撰写初稿; 张小凡:提出论文修改意见; 黄国彬:确定研究选题,提出论文修改意见。
  • 基金资助:
    国家社科基金重点项目“开放科学视野下新型学术出版物的著作权保护与共享机制研究”(22ATQ003)

Main barriers and response strategies to scientific data publishing in China from the perspective of responsible actors

ZHANG Jiashuo1,2)()(), JIN Fan1), CHEN Hongkan1), ZHANG Xiaofan1,2), HUANG Guobin1,2)()()   

  1. 1)Department of Information Management,Peking University,5 Yiheyuan Road,Haidian District,Beijing 100871,China
    2)Peking University Publishing Research Institute,5 Yiheyuan Road,Haidian District,Beijing 100871,China
  • Received:2025-11-10 Revised:2026-02-05 Online:2026-02-25 Published:2026-04-01
  • Contact: HUANG Guobin

摘要:

目的 剖析我国科学数据出版的主要障碍,提出应对建议,为我国科学数据出版可持续发展提供实践指引。 方法 对8名科研人员与8名期刊编辑开展半结构化访谈,运用解释现象学分析方法,系统梳理作者、审稿人与期刊编辑在科学数据出版中的价值认知、现实挑战与应对策略。 结果 我国科学数据出版在激励手段、制度建设、协同治理、出版流程和仓储合作方面存在5点主要障碍。为此,提出优化数据出版生态、建立健全数据出版伦理规范、拓展学术共同体协同治理范畴、注重数据出版流程的细节优化、推动期刊与高质量学科型数据仓储建立稳定合作等应对建议。 结论 研究从微观视角揭示责任主体的实践经验与认知差异,为科技期刊优化数据出版机制与提升治理能力提供实证依据,为完善我国数据出版制度与推动数据出版可持续发展提供参考。

关键词: 数据出版, 科技期刊, 解释现象学分析, 责任主体, 数据治理

Abstract:

Purposes To analyze the major barriers to scientific data publishing in China and propose corresponding responses, thereby providing practical guidance for the sustainable development of scientific data publishing. Methods Semi-structured interviews were conducted with eight researchers and eight journal editors. Using Interpretative Phenomenological Analysis (IPA), this study systematically examined the value perceptions, practical challenges, and response strategies of authors, reviewers, and journal editors in the process of scientific data publishing. Findings Scientific data publishing in China faces five major barriers in terms of incentive mechanisms, institutional frameworks, collaborative governance, publishing workflows, and repository collaboration. Accordingly, this study proposes several response strategies, including optimizing the data publishing ecosystem, establishing and improving ethical norms for data publishing, expanding the scope of collaborative governance within the academic community, refining details in data publishing workflows, and promoting stable cooperation between journals and high-quality disciplinary data repositories. Conclusions From a micro-level perspective, this study reveals the practical experiences and cognitive differences among responsible actors, providing empirical evidence for science and technology journals to optimize data publishing mechanisms and enhance governance capacity. It also offers references for improving China’s data publishing system and advancing the sustainable development of scientific data publishing.

Key words: Data publishing, Scientific journals, Interpretative phenomenological analysis, Responsible stakeholders, Data governance