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在使用OpenAlex的成数据集中评估研究生产力
David Melero-Fuentes1, Cristina Rius2,3,4,5, Rut Lucas-Domínguez2,3,6
1Adolescence, Addictions and Development Research Group, Faculty of Psychology, Catholic University of Valencia, Valencia, Spain.
PloS one
|February 2, 2026
概括
OpenAlex可以检索健康数据集来评估研究人员,但需要数据策划. 改进信息管理基础设施可以提高医学研究中的开放科学准确性.
科学领域:
- 图书统计学 图书统计学
- 开放科学是一个开放的科学.
- 医疗信息学 医疗信息学
背景情况:
- 开放科学促进数据共享和新的评估方法.
- 信息技术支持开放的存档和研究人员评估.
- 对于健康数据,传统数据库的开放替代品正在出现.
研究的目的:
- 分析OpenAlex以检索成性物质研究数据集.
- 确定OpenAlex在自动评估研究人员和机构方面的实用性.
- 在OpenAlex.Alex中评估数据集信息的准确性和完整性.
主要方法:
- 试点研究侧重于成性物质数据集.
- 使用OpenAlex作为主要的数据检索工具.
- 检查的数据集类型和元数据的完整性 (作者ID,归属).
主要成果:
- 四个存储库包含2782个成性物质数据集中的85.8%.
- 数据集包括30%的记录;其他包括评论,专著和出版物.
- 重要缺失的元数据:30.2%作者ID,69%的附属性.
结论:
- 在开放科学医疗生态系统中,OpenAlex非常有价值.
- 数据集的准确性和研究人员/机构的评估需要改进信息策划.
- 通过研究信息管理和专业培训进行验证可以提高OpenAlex的实用性.
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