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Archetypes enable binding to different terminologies [ 23, 24] and are designed to represent maximal data sets, that is, they are designed to represent concepts as generically as possible.
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Terms belonging to different terminologies but sharing the same meaning are gathered under the same Concept Unique Identifier (CUI).
Furthermore, test-takers need to be able to understand different terminologies and value streams and to combine numerical values.
More specifically, the Julius Variables are somewhat like the leaf level constraints of the Archetypes, which essentially select input data types, predefined values and provide binding to external terminologies.
A next step could be the binding to external terminologies like SNOMED CT, based on current work done by the CIMI and the SemanticHealthNet network [ 42].
MeSH provides a standardized way to retrieve information that uses different terminologies to refer to the same concepts.
Papers reporting relationships between intakes of sugars and fat were potentially difficult to identify due to use of different terminologies.
The terminology used in MeSH provides a unique and consistent approach to retrieve information that uses different terminologies to describe similar biological and/or medical concepts.
Both models support detailed document structures, validation rules for different data types, terminology bindings to reference terminologies and locally defined terms.
But the different approaches to scientific discovery employ different terminologies.
In addition, those proposed databases might use the different terminologies to describe the same domain or concepts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com