Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

J. Banda
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引用次数: 8

Abstract

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.
将观察健康数据科学和信息学(OHDSI)计划与相关开放数据世界完全连接起来
在跨多个数据站点使用公共数据模型时,受控生物医学词汇表的使用是实现无缝互操作性的基础。观察健康数据科学和信息学(OHDSI)倡议将100多个受控词汇纳入其自己的词汇中。然而,OHDSI词汇表是有限的,因为它结合了多个术语,并且没有提供一种直接的方法将它们链接到它们自己的自包含范围之外。这个问题使得通过使用外部资源来丰富功能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,将其与已经建立的链接资源(如biopportal、bio2rdf等)连接起来,最终目的是使以前不属于OHDSI领域的资源具有互操作性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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