高能物理科学数据复用特征及影响因素研究

Purpose/significance By utilizing the Data Citation Index (DCI) database, this article explores the reuse features and influencing factors of scientific data in the field of high-energy physics. These findings serve as a point of reference and support, facilitating the promotion of data sharing and citation standardization in China. Moreover, these contribute to the augmentation of both value and influence of scientific data. Method/process This article adopt statistical regression methods to analyze the basic and citation features of the DCI database. For the reuse features and influencing factors, the analysis includes three dimensions: scientific data attribute features, reuse features, and correlation between attribute and reuse features. Result/conclusion The research findings reveal that the publication volume of scientific data in the field of high-energy physics is exhibiting an increasing trend. However, the proportion of missing data fields is relatively high. The reuse of high-energy physics scientific data is significantly influenced by publication modes and disciplinary categories. These result in the extremely uneven distribution of citation frequency. High-level scientific data are more likely to be reused. Moreover, the standardization of scientific data sharing and citation needs further enhancement. Finally, we propose an optimization and improvement path for high-energy physics science data reuse based on this findings.