Owkin’s AI-Readiness Maturity Model

An AI-ready dataset is a collection of biomedical data specifically prepared so that both humans and Owkin K can seamlessly use it for analytics, model training and research. To establish a systematic way of assessing the value of a dataset, Owkin has introduced an AI-Readiness Maturity Model on a 6-level scale for its own datasets:

• Level 0 - Uncontrolled data: Data lacks governance, compliance, or minimal metadata for cataloging.

• Level 1 - Storage & Legal compliance: Raw data with minimal metadata; stored securely, ISO 27001 compliant, license & IRB in place.

• Level 2 – Discoverability: Data dictionary, schema, programmatic metadata access, and version history available.

• Level 3 – Exploration: Quality checks documented, summary tables provided, with manifest/ReadMe for dataset exploration.

• Level 4 – Interoperability: Standard formats, cross-modality links, automated QC, and full data lineage.

• Level 5 – Full traceability + Optimized for AI/ML: Optimized views, precomputed features, reproducibility (code + environment), and detailed audits.

In order for a third-party dataset to be computed by K-Pro, it has to meet some strict requirements (layout, schema, dictionary) picked amongst the ones above, and described in this document. Owkin is keen to support your journey to achieve this.