Banda Juan M
Panacea Laboratory, Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA.
Genomics Inform. 2019 Jun;17(2):e13. doi: 10.5808/GI.2019.17.2.e13. Epub 2019 Jun 11.
The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites. The Observational Health Data Science and Informatics (OHDSI) initiative combines over 100 controlled vocabularies into its own. However, the OHDSI vocabulary is limited in the sense that it combines multiple terminologies and does not provide a direct way to link them outside of their own self-contained scope. This issue makes the tasks of enriching feature sets by using external resources extremely difficult. In order to address these shortcomings, we have created a linked data version of the OHDSI vocabulary, connecting it with already established linked resources like bioportal, bio2rdf, etc. with the ultimate purpose of enabling the interoperability of resources previously foreign to the OHDSI universe.
使用受控生物医学词汇表是在跨多个数据站点使用通用数据模型时实现无缝互操作性的基石。观察性健康数据科学与信息学（OHDSI）计划将100多种受控词汇表整合到了自己的体系中。然而，OHDSI词汇表存在局限性，因为它整合了多个术语，并且在其自身独立的范围内没有提供直接链接这些术语的方法。这个问题使得利用外部资源丰富特征集的任务变得极其困难。为了解决这些缺点，我们创建了OHDSI词汇表的链接数据版本，将其与生物门户、bio2rdf等已建立的链接资源相连接，最终目的是实现OHDSI领域以前互不相关的资源之间的互操作性。
