摘要
Scientific data citation is a common behavior in the process of scientific research and writing academic papers under the context of data-intensive scientific research paradigm. Standardized citation of scientific data has received continuous attention from academia and policy management departments in recent years. In order to explore the characteristics and the correlation of scientific data citations of Chinese researchers, based on the results of scientific data citations presented in academic papers, this study use CNKI as the data source to extract771 papers in 12 academic journals during 2017 to 2019. Combining with the Chinese national standard Information Technology-Scientific Data Citation(GB/T 35294-2017), a set of variables were given to reflect the reference characteristics. First, 4992 citation records of scientific data were manually identified and coded one by one, and the citation characteristics were presented with the statistical distribution of data frequency. Then, the chi-square test, log-linear model analysis, and correspondence analysis methods were used to analyze and explore the significant correlation among the characteristic variables. The study found that in general, the phenomenon of scientific data citations in Chinese researchers is widespread, and the number of citations has increased year by year, but there are also a large number of irregular citations. At present, there are roughly two modes of citation labeling behavior, and the traditional document citation mode is still the mainstream citation method for data citation. Furthermore, distributor type of scientific data may affect the reference in marked way. In addition, the completeness of the labeling elements differed in different bibliographic elements of scientific data. Irregular references to Unique Identifiers and parsing addresses are particularly prominent, which may be related to the type of distributor.
