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This step provides a comprehensive guide on how to apply a metadata (meta)data model to research resources, e.g. Datasets. It emphasizes the importance of metadata in making data more discoverable (findable), accessible, and reusable. The page outlines the standards and protocols that should be followed, increasing consistency and interoperability. It also includes a step-by-step implementation guide, detailing the necessary tools and resources to effectively apply the metadata model. It also provides links to external resources with step-by-step approaches and examples of projects that successfully implemented a metadata schema and/or data model to their data.
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https://direct.mit.edu/dint/article/5/1/184/113181/The-FAIR-Data-Point-Interfaces-and-Tooling
https://faircookbook.elixir-europe.org/content/recipes/applied-examples/approach-cdisc.html
B. CastorEDC
Build eCRF for data collection (previous step?)
Map fields from eCRF to semantic model (step 7 of de novo) in the 'data transformation application'
eCRF values linked to the ontology concepts used as a machine-readable
representation of the value in the rendered RDF
Entered data automatically converted into RDF in real time (next step) = de novo FAIRification
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Why is this step importantÂ
This section should explain why this step is crucial Applying the data model to your data and metadata model to your metadata is crucial for the next step: Metroline Step: Transform and expose FAIR (meta)data.
How to
The How to section should:
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