支持可计算生物医学知识的技术基础设施指导原则

IF 2.6 Q2 HEALTH POLICY & SERVICES
Jamie McCusker, Leslie D. McIntosh, Chris Shaffer, Peter Boisvert, James Ryan, Vivek Navale, Umit Topaloglu, Rachel L. Richesson
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引用次数: 1

摘要

在过去的4年里,作者作为动员可计算生物医学知识技术基础设施工作组的成员,专注于概念化使用可计算生物医学知识所需的基础设施。在这里,我们总结了我们的想法,并为CBK基础设施发展的未来工作奠定了基础,包括:解释可计算知识和数据之间的区别,并将与学习健康系统和公平原则的对话置于背景下。具体而言,我们提出了推进CBK基础设施发展的三个指导原则:(a)促进数据和知识的可互操作系统的可查找、可访问、可互操作和可重用。(b)实现人类和机器可读的稳定、可信的知识表示。(c)可计算的知识资源应尽可能开放。支持可计算知识基础设施的标准必须是开放的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Guiding principles for technical infrastructure to support computable biomedical knowledge

Guiding principles for technical infrastructure to support computable biomedical knowledge

Over the past 4 years, the authors have participated as members of the Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conceptualizing the infrastructure required to use computable biomedical knowledge. Here, we summarize our thoughts and lay the foundation for future work in the development of CBK infrastructure, including: explaining the difference between computable knowledge and data, and contextualizing the conversation with the Learning Health Systems and the FAIR principles. Specifically, we provide three guiding principles to advance the development of CBK infrastructure: (a) Promote interoperable systems for data and knowledge to be findable, accessible, interoperable, and reusable. (b) Enable stable, trustworthy knowledge representations that are human and machine readable. (c) Computable knowledge resources should, when possible, be open. Standards supporting computable knowledge infrastructures must be open.

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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
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