摘要
【目的】分析我国社科科研数据的产生与使用情况,为制定科研数据政策提供参考和借鉴。【方法】通过文本分析法,选取由2011年国家社会科学基金资助的23个社科学科的2883个项目所产生的论文,分析论文的数据来源、类型和特征。【结果】我国社科研究产生的科研数据总量非常庞大,数据类型和格式复杂多样且数据分散。【结论】我国绝大多数社科科研数据都没有得到良好的组织、管理、共享与重用,应尽快推出符合我国最佳实践的科研数据政策。
[Purposes] This paper analyzes the production and use of social science research data in China, which is expected to serve as a reference for the formulation of related policies. [Methods] Through text analysis, we selected the papers on 23 disciplines in social science which were supported by 2883 programs of National Social Science Foundation in 2011 to analyze the data sources, types, and characteristics. [Findings] The research data in social science in China feature large quantity, diversified and complex types and formats, and scattered distribution. [Conclusions] Most research data in social science in China fail to be organized, managed, shared, or reused. Therefore, China should draw up policies on research data suited to Chinese academic journals as soon as possible.
作者
秦长江
吴思洁
王丹丹
QIN Changjiang;WU Sijie;WANG Dandan(School of Management,Henan University of Science and Technology,263 Kaiyuan Avenue,Luoyang 471000,China)
出处
《中国科技期刊研究》
CSSCI
北大核心
2022年第4期478-486,共9页
Chinese Journal of Scientific and Technical Periodicals
关键词
学术期刊
科研数据
社科期刊
数据管理
Academic journal
Research data
Journal of social sciences
Data management