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Many of the same metadata components are needed both to create a prospective technical specification of analyses to be performed and to give context to reported results. Therefore, a single logical model has been developed, which includes the components needed to specify analyses, represent contextualized results, and indicate how the results are displayed.
LinkML is an open-source schema development language and framework for generating machine-readable models (see https://linkml.io/)and downstream artifacts, including JSON-Schema, ShEx, RDF, OWL, GraphQL, and SQL DDL.
The logical model acts as a blueprint or a set of rules describing how things should be organized and structured. For the ARS, it is being used to create a model that describes how analysis results data should be organized and structured. LinkML allows the creation of a standardized and consistent approach to describing analysis results data, enabling greater interoperability and collaboration across different stakeholders. Additionally, it enables converting them the conversion of analysis definitions and associated results data into various machine-readable formats (e.g., JSON, YAML, OWL, XML).
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