在生命科学和社会科学和人文科学之间的选定的领域,ECRIN - CESSDA策略进行交叉元数据映射
Christian Ohmann1, Katja Moilanen2, Mari Kleemola2
1European Clinical Research Infrastructure Network, 30 Bd Saint-Jacques, Paris, 75014, France.
Open research Europe
|November 15, 2023
概括
社会科学和临床研究的元数据方案显示了显著的重叠,使综合数据发现成为可能. 这种相似性促进了来自不同科学学科的资源的统一搜索机制.
科学领域:
- 跨学科的健康研究.
- 数据科学和信息学数据科学和信息学
- 社会科学和临床研究的整合.
背景情况:
- 随着COVID-19的爆发,人们越来越需要跨学科的健康研究,整合基础科学,临床研究,社会科学和公共卫生.
- 开发促进跨学科合作的系统对于应对复杂的健康挑战至关重要.
- 本研究调查了元数据方案的兼容性,以发现跨社会科学和临床研究的科学资源.
研究的目的:
- 评估社会科学和临床研究中使用的元数据方案和词汇的相似性.
- 确定现有方案是否能够轻松检索和整合来自不同学科的信息.
- 探索跨不同科学数据档案的共同搜索机制的潜力.
主要方法:
- 进行文献搜索以确定将社会科学数据与临床研究和试验相结合的研究.
- 比较了ECRIN (欧洲临床研究基础设施网络) 和CESSDA (欧洲社会科学数据档案联盟) 的元数据方案和资源目录.
- 专注于发现元数据,定义为用于识别和定位科学资源的元素.
主要成果:
- 分析显示,CESSDA和ECRIN的元数据方案之间存在相当大的相似之处.
- 发现元数据元素显示,社会科学和临床研究领域之间存在显著的重叠.
- 在ECRIN和CESSDA元数据方案之间的交叉路口证明了这种兼容性.
结论:
- 观察到的相似性为开发ECRIN和CESSDA元数据的共同搜索机制提供了坚实的基础.
- 实施这种机制将提高跨学科的数据可发现性和整合性.
- 这篇论文介绍了统一搜索系统的四个潜在实施策略.
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