Section 81 of 103
80. Data Provenance, Data Quality, Confidence and Uncertainty
Stable section ID: S05-CON-015-SECTION-81 · 15 content blocks
Data Provenance is the traceable history of data, including its origin, creator, collection method, transformations, transfers, versions, authority, and relationship to the relevant Engineering Entities.
Data Quality is the degree to which data is fit for its intended engineering use. Quality may include accuracy, completeness, consistency, timeliness, resolution, validity, integrity, availability, and semantic correctness.
Confidence is the assessed degree of justified reliance that may be placed on information, evidence, measurement, inference, or conclusion.
Uncertainty is the known or unknown limitation in knowledge resulting from variability, measurement error, missing information, assumptions, model limitations, conflicting evidence, or unpredictable conditions.
System05 data shall preserve distinctions among:
verified facts;
measurements;
supplier declarations;
analytical results;
assumptions;
estimates;
AI-generated inferences;
- unresolved or unknown conditions.
- Confidence shall not be based solely on software output, AI fluency, repetition, or visual precision.
Where uncertainty may affect safety, compatibility, cost, conformance, or lifecycle performance, it shall be disclosed, quantified or classified where practical, and carried into the applicable decision, verification, and risk-management process.