[Purpose/Significance] By studying the characteristics and laws of knowledge diffusion of scientific datasets, this paper explores the practical role of scientific datasets in the development of discipline fields, so as to provide references for scientific and technological evaluation and management policy-making of scientific datasets. [Method/Process] Taking the datasets of GEO database and the full-text data of reused dataset in PubMed Central Database as the analysis objects, this paper analyzed the knowledge diffusion characteristics of scientific datasets by using content analysis method combined with knowledge diffusion indicators such as diffusion breadth, diffusion intensity and diffusion speed. [Result/Conclusion] The results show that the breadth and intensity of knowledge diffusion of scientific datasets are increasing day by day. Reusing data can accelerate the speed of knowledge diffusion, and China’s position in the field of global scientific data is improving.
Yang Ning
,
Zhang Zhiqiang
. Research on the Characteristics of Knowledge Diffusion in Scientific Datasets——Taking the Gene Expression Dataset as an Example[J]. Library and Information Service, 2022
, 66(12)
: 82
-91
.
DOI: 10.13266/j.issn.0252-3116.2022.12.008
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