Categorizing metadata to help mobilize computable biomedical knowledge

Abstract Introduction Computable biomedical knowledge artifacts (CBKs) are digital objects conveying biomedical knowledge in machine‐interpretable structures. As more CBKs are produced and their complexity increases, the value obtained from sharing CBKs grows. Mobilizing CBKs and sharing them widely...

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Main Authors: Brian S. Alper (Author), Allen Flynn (Author), Bruce E. Bray (Author), Marisa L. Conte (Author), Christina Eldredge (Author), Sigfried Gold (Author), Robert A. Greenes (Author), Peter Haug (Author), Kim Jacoby (Author), Gunes Koru (Author), James McClay (Author), Marc L. Sainvil (Author), Davide Sottara (Author), Mark Tuttle (Author), Shyam Visweswaran (Author), Robin Ann Yurk (Author)
Format: Book
Published: Wiley, 2022-01-01T00:00:00Z.
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100 1 0 |a Brian S. Alper  |e author 
700 1 0 |a Allen Flynn  |e author 
700 1 0 |a Bruce E. Bray  |e author 
700 1 0 |a Marisa L. Conte  |e author 
700 1 0 |a Christina Eldredge  |e author 
700 1 0 |a Sigfried Gold  |e author 
700 1 0 |a Robert A. Greenes  |e author 
700 1 0 |a Peter Haug  |e author 
700 1 0 |a Kim Jacoby  |e author 
700 1 0 |a Gunes Koru  |e author 
700 1 0 |a James McClay  |e author 
700 1 0 |a Marc L. Sainvil  |e author 
700 1 0 |a Davide Sottara  |e author 
700 1 0 |a Mark Tuttle  |e author 
700 1 0 |a Shyam Visweswaran  |e author 
700 1 0 |a Robin Ann Yurk  |e author 
245 0 0 |a Categorizing metadata to help mobilize computable biomedical knowledge 
260 |b Wiley,   |c 2022-01-01T00:00:00Z. 
500 |a 2379-6146 
500 |a 10.1002/lrh2.10271 
520 |a Abstract Introduction Computable biomedical knowledge artifacts (CBKs) are digital objects conveying biomedical knowledge in machine‐interpretable structures. As more CBKs are produced and their complexity increases, the value obtained from sharing CBKs grows. Mobilizing CBKs and sharing them widely can only be achieved if the CBKs are findable, accessible, interoperable, reusable, and trustable (FAIR+T). To help mobilize CBKs, we describe our efforts to outline metadata categories to make CBKs FAIR+T. Methods We examined the literature regarding metadata with the potential to make digital artifacts FAIR+T. We also examined metadata available online today for actual CBKs of 12 different types. With iterative refinement, we came to a consensus on key categories of metadata that, when taken together, can make CBKs FAIR+T. We use subject‐predicate‐object triples to more clearly differentiate metadata categories. Results We defined 13 categories of CBK metadata most relevant to making CBKs FAIR+T. Eleven of these categories (type, domain, purpose, identification, location, CBK‐to‐CBK relationships, technical, authorization and rights management, provenance, evidential basis, and evidence from use metadata) are evident today where CBKs are stored online. Two additional categories (preservation and integrity metadata) were not evident in our examples. We provide a research agenda to guide further study and development of these and other metadata categories. Conclusion A wide variety of metadata elements in various categories is needed to make CBKs FAIR+T. More work is needed to develop a common framework for CBK metadata that can make CBKs FAIR+T for all stakeholders. 
546 |a EN 
690 |a computable biomedical knowledge 
690 |a digital objects 
690 |a FAIR principles 
690 |a metadata 
690 |a trust 
690 |a Medicine (General) 
690 |a R5-920 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Learning Health Systems, Vol 6, Iss 1, Pp n/a-n/a (2022) 
787 0 |n https://doi.org/10.1002/lrh2.10271 
787 0 |n https://doaj.org/toc/2379-6146 
856 4 1 |u https://doaj.org/article/47fdb5b07a0147ea9676aae2a92a09e5  |z Connect to this object online.