数字图书馆论坛2026，Vol.22Issue(4)：35-45,11.DOI:10.3772/j.issn.1673-2286.2026.04.004
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
摘要
Abstract
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.关键词
政策工具/期刊论文/关联数据/汇交政策/政策量化Key words
Policy Tools/Journal Articles/Linked Data/Submission Policies/Policy Quantification分类
社会科学引用本文复制引用
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):35-45,11.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. （编号:24CTQ056）
