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The set is split into several classes describing the data. At the moment four classes (Dataset, Catalogue, Resourse, and Agent are mandatory. Each class is populated by a set of mandatory and recommended variables. You can find all of the descriptions of variables and classes here. classses here: Core Metadata Schema Specification
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📋 What is metadata mapping
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To map your metadata you first need to understand the structure of your metadata and their semantic meaning and the ontology (vocabulary) used to to describe your data in a Resource Description Framework (RDF), in our case DCAT V3 format. The general outline of the mapping pipeline can be found here: https://health-ri.atlassian.net/wiki/spaces/FSD/pages/edit-v2/290291734?draftShareId=ff45a2e2-80ee-49aa-b6d6-c04dedb6f9f8
Next steps
After mapping transfroming your data properties to the classes and variables of the HRI model you need to validate your model. This step ensures that the new model both accurately represent the original data as well as adheres to the HRI metadata structure.
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Additional resources
Technical details on DCAT AP and FAIR Datapoints - Youtube video, Health-RI
HRI Github - You can find recourses and examples on the Health-RI metadata Github.
Resources Resources from the EU Open Data Explained, including a general training on metadata and basic and advanced level resourses on DCAT and DCAT-AP.
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