Open data as an integral part of the open science movement enhances the openness and sharing of scientific datasets. Nevertheless, the normative utilization of data journals, data papers, scientific datasets, and data citations necessitates further research. This study aims to investigate the citation practices associated with data papers and to explore the role of data papers in disseminating scientific datasets. Dataset accession numbers from NCBI databases were employed to analyze the prevalence of data citations for data papers from PubMed Central. A dataset citation practice identification rule was subsequently established. The findings indicate a consistent growth in the number of biomedical data journals published in recent years, with data papers gaining attention and recognition as both publications and data sources. Although the use of data papers as citation sources for data remains relatively rare, there has been a steady increase in data paper citations for data utilization through formal data citations. Furthermore, the increasing proportion of datasets reported in data papers that are employed for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research.

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数据论文对科学数据集的传播效果

开放数据作为开放科学运动的一个组成部分，增强了科学数据集的开放性和共享性。然而，数据期刊、数据论文、科学数据集和数据引用的规范利用需要进一步的研究。本研究旨在调查与数据论文相关的引用实践，并探讨数据论文在传播科学数据集方面的作用。使用 NCBI 数据库的数据集登录号来分析 PubMed Central 数据论文的数据引用率。随后建立了数据集引用实践识别规则。研究结果表明，近年来出版的生物医学数据期刊的数量持续增长，数据论文作为出版物和数据来源而受到关注和认可。尽管使用数据论文作为数据的引用来源仍然相对较少，但通过正式数据引用进行数据利用的数据论文引用量一直在稳步增加。此外，数据论文中报告的用于分析目的的数据集比例不断增加，凸显了数据论文在促进数据集的传播和重用以支持新颖研究方面的独特价值。