图书情报工作 ›› 2022, Vol. 66 ›› Issue (12): 82-91.DOI: 10.13266/j.issn.0252-3116.2022.12.008

• 情报研究 • 上一篇    下一篇

科学数据集知识扩散特征探析——以基因表达数据集为例

杨宁1,2, 张志强1,2   

  1. 1. 中国科学院成都文献情报中心 成都 610041;
    2. 中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190
  • 收稿日期:2021-12-16 修回日期:2022-03-12 出版日期:2022-06-20 发布日期:2022-06-25
  • 通讯作者: 张志强,研究员,博士生导师,通信作者,E-mail:zhangzq@clas.ac.cn
  • 作者简介:杨宁,副研究馆员,博士研究生。
  • 基金资助:
    本文系国家社会科学基金重点项目"面向领域知识发现的学科信息学理论与应用研究"(项目编号:17ATQ008)研究成果之一。

Research on the Characteristics of Knowledge Diffusion in Scientific Datasets——Taking the Gene Expression Dataset as an Example

Yang Ning1,2, Zhang Zhiqiang1,2   

  1. 1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041;
    2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2021-12-16 Revised:2022-03-12 Online:2022-06-20 Published:2022-06-25

摘要: [目的/意义]通过研究科学数据集的知识扩散特征和规律,探究其在学科发展过程中的实际作用,为科学数据集科技评价及管理政策制定提供参考。[方法/过程]以GEO数据库的数据集和PubMed Central数据库中重用数据集的全文数据为分析对象,采用内容分析法结合扩散广度、扩散强度、扩散速度等知识扩散指标对科学数据集的知识扩散特征进行探析。[结果/结论]研究结果表明,科学数据集的知识扩散广度和知识扩散强度日益加大,重用数据可以加快知识扩散速度,我国在全球科学数据领域的地位不断提高。

关键词: 科学数据集, 知识扩散, 特征探析, 测度指标

Abstract: [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.

Key words: scientific dataset, knowledge diffusion, analysis of characteristics, measure index

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