Qualified references

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ML-I3-01M: Metadata includes links between the ML model and its related entities. Test: 1) Related resources are explicitly mentioned in metadata. 2) Related resources are indicated by machine readable links or identifiers. *Note: Use automatic tool to assess this metric and enter the result here.*

Principle: I

Rationale: Linking an ML model to its related entities (used libraries, platforms, parameters, datasets, configuration file for execution, etc.) will increase its potential for reuse. The linking information should be captured as part of the metadata. Is possible, persistent identifiers should be used for the corresponding related entities, such as ORCID for contributors, DOI for publications, and ROR for institutions, etc.

FAIR Metrics: I3

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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