Formal knowledge representation language

metric

ML-I1-01M: Metadata is represented using a formal knowledge representation language. Test: 1) Parsable, structured metadata (JSON-LD, RDFa) is embedded in the landing page XHTML/HTML code. 2) Parsable, graph data (RDF, JSON-LD) is accessible through content negotiation, typed links or SPARQL endpoint. *Note: Use automatic tool to assess this metric and enter the result here.*

Principle: I

Rationale: Expressing the metadata of a data object using a formal knowledge representation will enable machines to process it in a meaningful way and enable more data exchange possibilities.

FAIR Metrics: I1

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FAIR for Machine Learning Models

This rubric consists of assessment metrics that evaluate the FAIR maturity of ML models. The metrics...

FAIR machine learning model FAIR assessment NFDI4DataScience