在主要的学术数据库中,独家数据期刊是如何被索引的? 对四个数据库的检查
Chenyue Jiao1, Kai Li2, Zhichao Fang3,4
1School of Information Sciences, University of Illinois Urbana-Champaign, 501 E. Daniel St., Champaign, IL, 61820, USA.
Scientific data
|October 25, 2023
概括
学术数据库不一致地索引数据期刊和数据论文. 由于缺乏标准化索引,这阻碍了对数据纸张出版和再利用的定量研究.
科学领域:
- 图书统计学 图书统计学
- 学术传播学术交流
- 数据科学数据科学数据科学
背景情况:
- 数据论文对于发布研究数据越来越受欢迎.
- 了解数据纸索引对于研究数据发布和重复使用至关重要.
- 现有的学术数据库缺乏对数据期刊及其出版物进行一致的索引.
研究的目的:
- 评估主要学术数据库中仅对数据期刊的索引.
- 评估数据文件的文档类型信息的全面性和准确性.
- 鉴定因索引不一致而导致的数据文件定量分析的挑战.
主要方法:
- 选择了18个专门用于分析的数据期刊.
- 在四个著名的学术数据库中检查了索引:科学网络,Scopus,维度和OpenAlex.
- 调查的数据库覆盖范围和数据纸质文档类型的呈现.
主要成果:
- 在数据库中数据期刊的覆盖范围中发现了重大不一致性.
- 数据纸的文档类型信息呈现的变化很大,而且往往不准确.
- 索引差异对数据论文的定量研究构成重大挑战.
结论:
- 学术数据库中的当前索引实践阻碍了对数据论文的全面定量研究.
- 对数据期刊和数据论文进行改进和标准化索引的需求至关重要.
- 解决这些不一致性对于推进数据发布和重用研究至关重要.
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