The COMPEL Glossary Graph visualizes relationships between framework terminology, showing how concepts interconnect across domains, stages, and pillars. Term nodes cluster by pillar affiliation while cross-references reveal semantic dependencies — for example, how risk appetite connects to control effectiveness, model governance, and assurance requirements. This network representation helps practitioners navigate the framework vocabulary and understand that COMPEL terminology forms a coherent conceptual system rather than isolated definitions.
COMPEL Glossary / third-party-data-readiness
Third-party data readiness
The extension of data-readiness assessment to data supplied by vendors, partners, open-source corpora, or scraped sources — covering provenance, legal basis, contractual terms, known bias profile, and re-use constraints.
What this means in practice
Required because EU AI Act Article 10 obligations on providers include documenting training data regardless of whether the provider collected it.
Synonyms
external data readiness , vendor-data readiness
See also
- Provenance — The record of origin and custody for a data asset — who collected it, from whom, under what legal basis, and through which hands it passed — required for auditability of high-risk AI under EU AI Act Article 10.
- Datasheet for datasets — A structured dataset documentation artifact covering motivation, composition, collection process, preprocessing, uses, distribution, and maintenance — modeled after electronic-component datasheets.
- Data contract — A versioned, testable specification of a data product's schema, semantics, quality expectations, SLA, and change-management policy — published by the producer, consumable by downstream AI workloads.
- Fitness for purpose — The determination that a specific dataset is appropriate for a specific AI use case given the task, risk tier, and intended deployment context.