为了实现个人健康数据的国家研究数据基础设施的互操作性景观
Carina Nina Vorisek1, Sophie Anne Inès Klopfenstein2,3, Matthias Löbe4
1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Facility Digital Medicine and Interoperability, Charitéplatz 1, 10117, Berlin, Germany. carina-nina.vorisek@bih-charite.de.
Scientific data
|July 13, 2024
概括
国家个人健康数据研究数据基础设施 (NFDI4Health) 计划确定了健康研究的关键数据标准. 这促进了公共卫生,流行病学和临床试验的数据互操作性和协作.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 公共卫生研究 公共卫生研究
背景情况:
- 德国国家个人健康数据研究数据基础设施 (NFDI4Health) 倡议解决了对健康领域强有力的研究数据管理的需求.
- 协调的信息技术标准对于推进公共卫生,流行病学研究和临床试验至关重要.
- 促进对相关数据和元数据标准的访问是NFDI4Health的一个关键目标.
研究的目的:
- 确定和列出与NFDI4Health和更广泛的健康研究相关的语法和语义数据标准.
- 确保数据的互操作性和与NFDI4Health使用案例和国际标准的兼容性.
- 促进关于在协作健康研究中采用共同标准的好处的辩论.
主要方法:
- 举办跨学科会议和研讨会,收集有关数据标准的意见.
- 映射研究问卷和NFDI4Health元数据图表以确定适用的标准.
- 进行了全面的文献搜索,以确定其他相关的语法和语义标准.
主要成果:
- 确定了7个语法,32个语义和9个综合语法和语义数据标准.
- 从ISO/TC 215 (医疗信息学) 和ISO/TC 276 (生物技术) 认可的101个ISO标准作为潜在的相关.
- 强调利用这些标准用于流行病学和健康研究数据的重要性.
结论:
- 识别的标准支持在NFDI4Health框架内及以后的互操作性和兼容性.
- 通过共同标准对于促进卫生研究中的协作和跨部门工作至关重要.
- 这项工作为利用数据标准增强健康研究数据管理提供了基础.
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