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 / bias-relevant-variable
Bias-relevant variable
A feature whose inclusion, exclusion, or proxy-behavior affects fairness across protected groups — a direct sensitive attribute (race, gender) or an indirect proxy (postal code, device type).
What this means in practice
Identifying bias-relevant variables is a data-readiness activity because data selection decisions propagate into every downstream model.
Synonyms
sensitive variable , proxy variable
See also
- Subgroup coverage — The representation of protected or intersectional groups in a dataset relative to their prevalence in the target population.
- Data quality dimension — A measurable attribute of data integrity — accuracy, completeness, consistency, timeliness, validity, uniqueness, representativeness — used as a scoring axis in a data-readiness rubric.