[目的/意义] 探索期刊论文科学数据引用特征与规律不仅有助于描述学科领域对科学数据的利用情况，还能够揭示学术成果表达中的数据引用模式。[方法/过程] 以我国图书情报领域6种期刊2017年与2018年第一期刊载论文为样本，结合国家标准《信息技术科学数据引用》的引用元素，采用内容分析法从9个维度对样本论文的科学数据引用行为进行数据编码，应用统计学方法描述图书情报领域期刊论文科学数据引用特征并探索不同维度特征间的关联关系。[结果/结论] 图书情报领域期刊论文广泛引用来自国内外的统计整理类科学数据，对期刊论文中个人研究科学数据的引用量较大；科学数据引用标注方式与科学数据类型存在一定对应关系，但多样化的标注方式缺乏统一性；二手引用现象较为突出，二手引用程度与科学数据创建者类型相关。
[Purpose/significance] Exploring the characteristics and laws of the scientific data citation behavior of journal articles not only helps to describe the utilization of scientific data in academic areas, but also reveals the data citation models of the expression of academic works.[Method/process] The articles contained in the first issue of six journals in library and information science in China during 2017 and 2018 were selected as the sample. Based on the citation elements of the China's national standard Information Technology Scientific Data Citation, the scientific data citation behavior records of the sample papers had been encoded from nine dimensions by the content analysis method, and the characteristics and the relationships between different characteristics of the citation behavior had been analyzed by the statistical analysis method.[Result/conclusion] The results show that:scientific data citation is relatively common in library and information science, and the reorganized statistical data from the domestic and international are widely cited, and the citation of personal research scientific data in journal academic articles is large; there are some correspondence relationships between citation styles and scientific data types, but diverse citation styles lack uniformity; in addition, second-hand citation behavior is obvious, and its degree is related to the creator type of scientific data.
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