| 不同文献集中中国学者引用软件和数据集的特征比较研究 |
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| 引用本文： | 杨波,王雪,苏娜.不同文献集中中国学者引用软件和数据集的特征比较研究[J].图书情报工作,2017,61(14):109-115. |
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| 作者姓名： | 杨波 王雪 苏娜 |
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| 作者单位： | 1. 南京农业大学信息科学技术学院 南京 210095;
2. 南京农业大学领域知识关联研究中心 南京 210095;
3. 中国科学院科技战略咨询研究院 北京 100190 |
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| 基金项目： | 本文系国家社会科学基金青年项目"基于社区发现的学术WEB主题显著度研究"（项目编号：13CTQ031）和中央高校基本科研业务费专项南京农业大学探索项目"学术网络空间的机构网络学科显著性研究"（项目编号：SKTS2017024）研究成果之一。 |
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| 摘 要： | 目的/意义]非文献资源在科研活动中扮演着越来越重要的角色。科学软件与科学数据作为非文献资源的主要形式,是数据密集型研究不可或缺的重要资源。方法/过程]通过比较分析中国学者在中外期刊论文中的引用特征,提出一种科学文献与科学软件/数据集引用特征的关联分析方法。结果/结论]以生物信息学为研究对象,通过对比分析生物信息学研究中新技术应用趋势及应用能力,论证中国学者更倾向于将更优秀的研究成果投向国际期刊的假设,同时也证明科学文献的质量与科学软件/数据集质量之间存在显著的正向相关关系。
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| 关 键 词： | 科学软件 科学数据集 引用特征 生物信息学 |
| 收稿时间： | 2017-04-17 |
A Comparative Study on Characteristics of How Chinese Scientists Citing Software and Datasets in Different Publication Communities |
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| Yang Bo,Wang Xue,Su Na.A Comparative Study on Characteristics of How Chinese Scientists Citing Software and Datasets in Different Publication Communities[J].Library and Information Service,2017,61(14):109-115. |
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| Authors: | Yang Bo Wang Xue Su Na |
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| Institution: | 1. College of Information Science & Technology, Nanjing Agricultural University, Nanjing 210095;
2. Research Center for Correlation of Domain Knowledge, Nanjing Agricultural University, Nanjing 210095;
3. Institutes of Science and Development, CAS, Beijing 100190 |
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| Abstract: | Purpose/significance] Non-literature resources have been increasingly playing an important role in scientific research. As the two types of reprehensive of non-literature resources, scientific software and scientific data are the indispensable resources in data-enhanced research. Method/process] In this study, the citation activities of scientific software and datasets mentioned in the articles from the International and Chinese Bioinformatics communities are summarized, and a correlation analytical method between scientific literature and scientific software/datasets is proposed to analyze citation behaviors across them. Result/conclusion] The field of bioinformatics is selected as a testing example to investigate the trend and ability of applying new technology in bioinformatics research, based on which we can proof the hypothesis that Chinese authors prefer to submit their good research findings to international journals. Meanwhile, we can also find the significantly positive correlation between the quality of scientific literature and the quality of scientific software and datasets. |
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| Keywords: | scientific software scientific dataset citation characteristics bioinformatics |
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