CMEO:一种以元数据为中心的临床研究实体学,用于临床研究的探索和协调评估
Komal Gilani1, Wei Wei2, Christof Peters3
1Institute of Data Science, Maastricht University, Maastricht, Netherlands. komal.gilani@maastrichtuniversity.nl.
BMC medical informatics and decision making
|December 6, 2025
概括
我们开发了临床元数据探索本体 (CMEO),以改善临床数据的整合. 这种方法增强了跨研究的数据发现和比较,即使不共享个体患者数据.
科学领域:
- 生物医学信息学 生物医学信息学
- 临床数据管理 临床数据管理
背景情况:
- 临床研究数据集成受到不一致的定义和缺乏可互操作的元数据的阻碍.
- 生物医学本体学在诸如变量语义和治理之类的综合元数据描述器中未得到充分利用.
研究的目的:
- 介绍临床元数据探索本体 (CMEO) 以统一地表示临床研究元数据.
- 为了使研究探索和跨机构数据元素比较的语义查询.
主要方法:
- 开发了基于研究设计,数据元素,统计和重复使用权限的现有本体学的CMEO.
- 将CMEO应用于来自五项异质研究 (心力衰竭,1型糖尿病) 的元数据.
- 序列化元数据和执行的SPARQL查询用于发现,对齐和受治理约束的重用.
主要成果:
- 证明了CMEO在研究水平发现和跨研究的变量对齐方面具有实用性的实用性.
- 通过语义查询实现了受治理限制的数据重用.
- 促进了隐私意识的联合临床数据探索.
结论:
- CMEO提供了一个符合FAIR的,基于元数据的解决方案,用于整合异构的临床数据源.
- 通过联合数据探索实现可扩展和隐私意识的研究.
- 支持跨研究数据元素的比较和对齐,即使在个人级别的数据共享是不可行的.
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