[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.
Ding Wenyao
,
Li Jian
,
Han Yi
. Research on the Characteristics of Scientific Data Citation in Journal Articles in Library and Information Science in China[J]. Library and Information Service, 2019
, 63(22)
: 118
-128
.
DOI: 10.13266/j.issn.0252-3116.2019.22.013
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