寻找,你可能会 (不会) 找到:对研究数据共享的多机构分析
Lisa R Johnston1, Alicia Hofelich Mohr2, Joel Herndon3
1Data, Academic Planning & Institutional Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
PloS one
|April 25, 2024
概括
研究数据共享是常见的,但元数据质量不均. 改进数据集的元数据对于数据的可查,可访问性和可重复使用性 (FAIRness) 是至关重要的.
科学领域:
- 图书统计学 图书统计学
- 数据策划数据策划
- 学术传播学术交流
背景情况:
- 由于资助任务,研究数据的共享越来越多.
- 了解数据共享工作流程和成本对于公开访问至关重要.
- 本研究分析了用于学术研究的数据库使用情况和元数据质量.
研究的目的:
- 确定六所学术机构研究人员 (2012-2022) 经常使用的数据存储库.
- 评估与已发表的研究数据集相关的元数据的质量.
- 为改善数据公正性提供建议.
主要方法:
- 利用DataCite和Crossref的API来搜索Publisher的字段元素.
- 从2012-2022年分析了与六个学术研究机构连接的数据集.
- 进行了对公众访问元数据完整性的初步分析.
主要成果:
- 十大出版商占分析数据集的89.0%至99.8%.
- 已知的数据库最初由于元数据不一致而不足.
- 元数据质量不均,作者附属信息不完整.
结论:
- 已发表的研究数据集的元数据景观需要大幅度改进.
- 不完整的元数据阻碍了数据的可查,互操作性,可访问性和可重复使用性 (FAIRness).
- 为数据库和数据作者提供建议,以提高学术元数据质量.
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