Data Generation Workflow
The Data Generation Workflow represents how you can prepare the resources needed to validate your Data Graph.
Download your data from the repository. The demonstrator shows the Creep Experiment Input File, downloaded from Zenodo.
Populate the JSON Metadata Schema with data from your Input file. This step requires:
- A JSON Metadata Schema
- A Mapping Document to correctly parse the Input data.
The Metadata Schema can be accessed in the Git Repository.
Generate the Populated Data Graph (RDF-Graph) from the Populated Metadata Schema using Ontology entities.
- This step requires an Ontology, which can be accessed in the same Git Repository.
Validate the Data Graph against predefined SHACL Shapes to ensure:
- Mandatory fields are present.
- The data follows a specific datatype.
The SHACL Shapes can be accessed in the Git Repository.
The output of the Validation Process is the Validation Protocol.
Workflow Steps
- Metadata Schema
- Mapping Document
Creep experiment input file (.lis file)
Populated metadata schema
Validation ProtocolShow and Edit Files
➡️Next Step: Please continue with the Data Validation Workflow to see more details on the SHACL Shapes and the Protocol.