An ontology-driven dataspace framework is proposed to enable machine-actionable test annotation for reproducible cyber-physical energy systems testing, demonstrated via cross-laboratory use cases and a three-viewpoint ontology structure.
Understanding experiments and research practices for reproducibility: an exploratory study
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Towards Reproducible Test Annotation for Cyber-Physical Energy Systems using Ontology-driven Dataspaces
An ontology-driven dataspace framework is proposed to enable machine-actionable test annotation for reproducible cyber-physical energy systems testing, demonstrated via cross-laboratory use cases and a three-viewpoint ontology structure.