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To help you understand what you would like to include in your model, you can start by creating a list of questions (competency queries). These can serve as a guide to identify the most relevant (meta)data elements to model.

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https://github.com/LUMC-BioSemantics/beat-covid/blob/master/fair-data-model/brainstorming/docs/brainstorming_models.pptx

Step 2: Search for ontology terms

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Finally, combine the conceptual model and the ontology terms to create the detailed semantic data model. This model distinguishes between the data items (instances and their values) and their types (classes), is an exact representation of the data and exposes the meaning of the data in machine-readable terms. 

Screenshot 2024-06-04 at 14.14.37.pngImage Added

ontological_model-20240429-143058.png

https://github.com/LUMC-BioSemantics/beat-covid/blob/master/fair-data-model/cytokine/model-triples/ontological_model.png

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