Global, unique identifier

metric

ML-F1-01S: ML model is assigned a globally unique identifier. Test: 1) Identifier is not resolvable, but follows a UUID or HASH type syntax. 2) Identifier is resolvable and follows a defined unique identifier syntax (URL, IRL).

Principle: F

Rationale: An ML model is assigned a global unique identifier such that it can be referenced unambiguously by humans or machines.

FAIR Metrics: F1

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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

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