现实世界的证据桥梁:连接协议与代码编程协议的工具
Albert Cid Royo1, Roel Elbers Jhj1, Daniel Weibel1
1Department of Data Science and Biostatistics, Julius Center for Health Science and Primary Care, University Medical Center of Utrecht, Utrecht University, Utrecht, The Netherlands.
Pharmacoepidemiology and drug safety
|November 27, 2024
概括
我们开发了RWE-BRIDGE,这是一个元数据方案,用于改进现实世界证据 (RWE) 研究中的编程文档. 该系统增强了研究人员和程序员之间的透明度和协作.
科学领域:
- 医疗信息学 医疗信息学
- 数据管理数据管理
- 药物监督 药物监督 药物监督
背景情况:
- 在真实世界证据 (RWE) 研究中编程决策的文件化对于透明度和可重复性至关重要.
- 目前用于记录RWE研究设计的现有方法可能是分散的,缺乏标准化.
- 欧洲疫苗监测合作 (VAC4EU) 倡议强调需要改进RWE研究文档.
研究的目的:
- 加强编程决策的记录在现实世界证据 (RWE) 研究中.
- 为RWE研究设计开发一种机器可读的元数据方案.
- 促进研究设计转化为分析管道.
主要方法:
- 来自VAC4EU倡议的分析统计分析计划 (SAP).
- 设计了一个机器可读的元数据模式 (RWE-BRIDGE),包括研究部分,代码列表和时间定.
- 开发了一份指南和Shiny应用程序,用于填充和验证元数据模式.
主要成果:
- 开发了RWE-BRIDGE,这是一个关系数据库模式,在四个研究设计部分中包含12个表.
- 该方案包括研究变量,队列,结果和数据检索的定义.
- RWE-BRIDGE可在GitHub上使用,并已在VAC4EU中的几个RWE研究中应用.
结论:
- RWE-BRIDGE提供了一个系统的方法来详细描述RWE研究参数,包括变量,时间定和算法.
- 元数据模式促进了FAIR原则,加强了研究人员和程序员之间的合作和透明度.
- RWE-BRIDGE是灵活的,可以适应各种数据模型和编程语言,并支持特定的SAP需求.
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