Provenance information

metric

ML-R1.2-01M: Metadata includes provenance information about ML model creation or generation. Test: 1) Metadata contains elements which hold provenance information and can be mapped to PROV. 2) Metadata contains provenance information using formal provenance ontologies (PROV-O). *Note: Use automatic tool to assess this metric and enter the result here.*

Principle: R

Rationale: Data provenance represents a ML model’s history, including the people, entities, and processes involved in its creation, management and longer-term curation.

FAIR Metrics: R1.2

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Associated Rubrics (1)

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

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