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2025 , Vol. 69 >Issue 23: 99 - 112

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.23.008

研究论文

三维分析框架下我国社会科学和自然科学数据复用特征研究

  • 相雅凡 ,
  • 马续补 ,
  • 林尔翘 ,
  • 秦春秀 ,
  • 刘东苏
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  • 西安电子科技大学经济与管理学院 西安 710071
相雅凡，博士研究生；马续补，教授，博士生导师，通信作者，E-mail：xbma@xidian.edu.cn；林尔翘，博士研究生；秦春秀，教授，博士生导师；刘东苏，教授，博士生导师。

收稿日期: 2024-11-26

  修回日期: 2025-02-13

  网络出版日期: 2025-11-20

基金资助

本文系国家社会科学基金项目“疫情防控常态化背景下突发公共卫生事件信息组织方法与信息公开策略研究”（项目编号：22BTQ053）研究成果之一。

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A Study on the Characteristics of Data Reuse in Social and Natural Sciences in China Based on a Three-Dimensional Analytical Framework

  • Xiang Yafan ,
  • Ma Xubu ,
  • Lin Erqiao ,
  • Qin Chunxiu ,
  • Liu Dongsu
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  • School of Economics and Management, XIDIAN University, Xi'an 710071
Xiang Yafan, Doctoral Candidate; Ma Xubu, Professor, Doctoral Supervisor, Corresponding Author, E-mail: xbma@xidian.edu.cn. Lin Erqiao, Doctoral Candidate; Qin Chunxiu, Professor, Doctoral Supervisor. Liu Dongsu, Professor, Doctoral Supervisor.

Received date: 2024-11-26

  Revised date: 2025-02-13

  Online published: 2025-11-20

Supported by

This work is supported by the project of National Social Science Fund of China, titled “Research on Information Organization Methods and Information Disclosure Strategies for Public Health Emergencies under the Background of Normalized Epidemic Prevention and Control” (Grant No. 22BTQ053).

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摘要

[目的/意义] 当前科学数据二次利用率仍然较低，亟需多维度、深层次地分析不同学科间的数据复用特征差异，从而为促进科学数据复用实践提供指导。[方法/过程] 构建“行为特征—数据属性—研究范式”的科学数据复用三维分析框架，选定我国自然科学中6个领域和社会科学中5个领域影响因子排名第一的期刊，收集其2022—2024年间第一期文献作为样本，采用人工标注的方式对其进行编码。[结果/结论] 结果显示，适用性和可得性是复用科学数据的首要考量，筛选与合并是对科学数据的第一处理方式。受研究主题和科学研究思想影响，不同学科数据复用在数据来源、研究内容等方面存在学科差异和偏好，且所处范式阶段在学科和时间上均呈现不同变化，逐步融合升维。应继续拓宽科学数据共享渠道，加强科学数据共享平台的建设，倡导和规范科学数据的标准引用格式。

关键词： 科学数据; 数据复用; 自然科学; 社会科学; 分析框架

本文引用格式

相雅凡 , 马续补 , 林尔翘 , 秦春秀 , 刘东苏 . 三维分析框架下我国社会科学和自然科学数据复用特征研究[J]. 图书情报工作, 2025 , 69(23) : 99 -112 . DOI: 10.13266/j.issn.0252-3116.2025.23.008

Abstract

[Purpose/Significance] Since the secondary use of shared scientific data by researchers is still not widespread, there is a need to conduct a multi-dimensional and in-depth analysis of the differences in data reuse characteristics among different disciplines, so as to provide guidance for promoting scientific data reusing. [Method/Process] This paper constructed a three-dimensional analysis framework of “behavioral characteristics-data attributes-research paradigms” for scientific data reuse, selected the journals that rank first in the impact factor in 6 fields of natural sciences and 5 fields of social sciences in China, and collected the documents in the first issues of these journals during the years 2022—2024 as samples. These samples were then encoded through the method of manual annotation. [Result/Conclusion] The results show that applicability and availability are the primary considerations for reusing scientific data, and screening and merging are the first step in scientific data processing. Influenced by research topics and scientific research ideologies, there are distinct disciplinary differences and preferences in data reuse among different disciplines, particularly in aspects such as data sources and research content. Moreover, the stages of research paradigms they are in show different changes in terms of disciplines and time, gradually integrating and ascending in dimension. It is necessary to continuously broaden the channels for scientific data sharing, strengthen the construction of scientific data sharing platforms, and advocate and standardize the standard citation formats for scientific data.

Key words： scientific data; data reuse; natural sciences; social sciences; analytical framework

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