[Purpose/Significance] By analyzing the cited characteristics and sources of researchers' datasets under multiple data publishing modes, this paper reveals the current situation and development rules of data citation in biomedical field, in order to provide decision support for promoting the publication and efficient utilization of scientific data. [Method/Process] Taking the open access articles of the biomedical database PubMed Central as a sample, data citation behaviors in the articles were identified by using the correlation between the dataset mentioned and the dataset cited by researchers in the paper. The characteristics and trends of data citation behaviors of researchers had been deeply analyzed from the perspectives of characteristics of cited datasets and dataset citation sources of researchers. [Result/Conclusion] Data sharing and utilization behaviors are common in the field of biomedicine, but formal data citation behaviors are less. Data citation awareness of researchers is largely affected by the data citation policies of data repositories, and novel and continuously updated datasets are more favored by researchers. Citing datasets by citing regular literature is the primary form for researchers to declare data sources, followed by citing data repositories. Data papers as a data citation source started late, but the development trend is very rapid. In the future, two data publishing modes of data repositories and data papers are expected to become one of the main data citation sources.
Qiu Yuhong
,
Jiao Hong
,
Yang Bo
. Research on Data Citation Behaviors of Researchers in the Field of Biomedicine Under Multiple Data Publishing Modes[J]. Library and Information Service, 2022
, 66(16)
: 92
-104
.
DOI: 10.13266/j.issn.0252-3116.2022.16.009
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