| 史雅莉,汪庭,杨思洛,吴慧霞.基于三维分析框架的期刊论文关联数据汇交政策量化研究[J].数字图书馆论坛,2026,22(4):35~45 |
| 基于三维分析框架的期刊论文关联数据汇交政策量化研究 |
| A Quantitative Study on Regulatory Measures for Journal Article Correlation Data Submission under a Three-Dimensional Analysis Framework |
| 投稿时间：2026-03-31 |
| DOI：10.3772/j.issn.1673–2286.2026.04.004 |
| 中文关键词: 政策工具；期刊论文；关联数据；汇交政策；政策量化 |
| 英文关键词: Policy Tools; Journal Articles; Linked Data; Submission Policies; Policy Quantification |
| 基金项目:本研究得到国家社会科学基金青年项目“AI内容生成情境下科研人员数据认知风险识别与防控研究”（编号：24CTQ056）资助。 |
| 作者 | 单位 | | 史雅莉 | 湖北大学历史文化学院 | | 汪庭 | 湖北大学历史文化学院 | | 杨思洛 | 武汉大学信息管理学院 | | 吴慧霞 | 湖北大学历史文化学院 |
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| 中文摘要: |
| 科学数据是经济社会发展的战略性资源。期刊论文关联数据是科学数据的重要部分，其汇交有助于提高科学数据资源的重用效率，推动科学数据的价值转化。本研究选取2023—2024年中国科学引文数据库和中文社会科学引文索引来源期刊制定的201份论文关联数据汇交政策作为研究样本，构建“政策结构—要素规范—政策工具”三维分析框架，对政策文本进行量化研究与系统分析。研究发现，期刊论文关联数据汇交政策结构多元且学科领域分化趋势明显，但未充分关注数据质量控制和产权规约问题，且与作者需求的适配度有待提高。在此基础上，建议我国期刊出版单位制定论文关联数据汇交政策时应遵循领域差异性原则、规范汇交要素与流程、增强政策韧性。本研究有助于期刊论文关联数据汇交工作的规范化、常态化落地实施，推动科学数据价值释放。 |
| 英文摘要: |
| Scientific data is a strategic resource for socioeconomic development. Journal article linked data constitutes an important component of scientific data, and its submission contributes to improving the reuse efficiency of scientific data resources and promoting the value transformation of such data. This study selects 201 journal articles from CSSCI and CSCD source journals between 2023 and 2024 as research samples, focusing on their policies regarding the submission of linked data. A three-dimensional analytical framework—comprising “policy structure, element specifications, and policy tools”—is constructed to conduct quantitative and systematic analysis of the policy texts. The findings reveal that the structures of these policies are diverse and show clear disciplinary
differentiation, yet they inadequately address issues related to data quality control and intellectual property regulations, and their alignment with author needs remains insufficient. Based on these insights, this study proposes policy formulation strategies for Chinese academic publishers, including adhering to principles of disciplinary differences, standardizing submission elements and procedures, and enhancing the resilience of the policy system, in order to standardize the submission of linked data and unlock the value of scientific data. |
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