Suppr超能文献

评估 EHDEN 门户上数据库的 FAIRness:两个荷兰 ICU 数据库的案例研究。

Assessing the FAIRness of databases on the EHDEN portal: A case study on two Dutch ICU databases.

机构信息

Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Digital Health & Methodology, Amsterdam, the Netherlands; National Intensive Care Evaluation (NICE) Foundation, Amsterdam, the Netherlands.

Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, Amsterdam, the Netherlands; Amsterdam Public Health Research Institute, Digital Health & Methodology, Amsterdam, the Netherlands.

出版信息

Int J Med Inform. 2023 Aug;176:105104. doi: 10.1016/j.ijmedinf.2023.105104. Epub 2023 May 27.

Abstract

OBJECTIVE

To address the growing need for effective data reuse in health research, healthcare institutions need to make their data Findable, Accessible, Interoperable, and Reusable (FAIR). A prevailing method to model databases for interoperability is the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), developed by the Observational Health Data Sciences and Informatics (OHDSI) initiative. A European repository for OMOP CDM-converted databases called the "European Health Data & Evidence Network (EHDEN) portal" was developed, aiming to make these databases Findable and Accessible. This paper aims to assess the FAIRness of databases on the EHDEN portal.

MATERIALS AND METHODS

Two researchers involved in the OMOP CDM conversion of separate Dutch Intensive Care Unit (ICU) research databases each manually assessed their own database using seventeen metrics. These were defined by the FAIRsFAIR project as a list of minimum requirements for a database to be FAIR. Each metric is given a score from zero to four based on how well the database adheres to the metric. The maximum score for each metric varies from one to four based on the importance of the metric.

RESULTS

Fourteen out of the seventeen metrics were unanimously rated: seven were rated the highest score, one was rated half of the highest score, and five were rated the lowest score. The remaining three metrics were assessed differently for the two use cases. The total scores achieved were 15.5 and 12 out of a maximum of 25.

CONCLUSION

The main omissions in supporting FAIRness were the lack of globally unique identifiers such as Uniform Resource Identifiers (URIs) in the OMOP CDM and the lack of metadata standardization and linkage in the EHDEN portal. By implementing these in future updates, the EHDEN portal can be more FAIR.

摘要

目的

为了满足健康研究中对有效数据重用的需求,医疗机构需要使数据具有可发现性、可访问性、互操作性和可重用性(FAIR)。为了实现互操作性,一种流行的数据库建模方法是观察性医学结局伙伴关系(OMOP)通用数据模型(CDM),该模型由观察性健康数据科学和信息学(OHDSI)计划开发。为了使这些数据库具有可发现性和可访问性,开发了一个名为“欧洲健康数据和证据网络(EHDEN)门户”的用于 OMOP CDM 转换数据库的欧洲存储库。本文旨在评估 EHDEN 门户上数据库的 FAIR 程度。

材料和方法

两位参与 OMOP CDM 转换的研究人员分别使用十七项指标手动评估了他们自己的数据库。这些指标是由 FAIRsFAIR 项目定义的,是数据库 FAIR 的最低要求列表。每个指标根据数据库对指标的遵守程度从 0 到 4 进行评分。每个指标的最高得分根据指标的重要性从 1 到 4 不等。

结果

十七项指标中有十四项得到了一致评价:七项被评为最高分,一项被评为最高分的一半,五项被评为最低分。其余三项指标在两种情况下的评价不同。在 25 分的最高总分为 15.5 和 12。

结论

在支持 FAIR 方面的主要遗漏是 OMOP CDM 中缺乏全局唯一标识符(如统一资源标识符(URI)),以及 EHDEN 门户中缺乏元数据标准化和链接。通过在未来的更新中实现这些功能,EHDEN 门户可以更加 FAIR。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验