Guiding principles for technical infrastructure to support computable biomedical knowledge
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Authors
McCusker, Jamie
McIntosh, Leslie D.
Shaffer, Chris
Boisvert, Peter
Ryan, James
Navale, Vivek
Topaloglu, Umit
Richesson, Rachel L.
Issue Date
2022-11-01
Type
Article
Language
en_US
Keywords
Computable Biomedical Knowledge , Knowledge Management , Biomedical Knowledge
Alternative Title
Abstract
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.
Description
Full Citation
McCusker, J, McIntosh, LD, Shaffer, C, et al. Guiding principles for technical infrastructure to support computable biomedical knowledge. Learn Health Sys. 2022;e10352. doi:10.1002/lrh2.10352
Publisher
Wiley Periodicals LLC