Kvaliteediandmete
Kvaliteediandmete refers to metadata that documents the quality characteristics of data assets. It provides structured information about how data meets quality requirements, including attributes such as accuracy, completeness, timeliness, validity, consistency, and integrity. It may also cover data lineage, provenance, confidence, and the methods used to measure or compute quality, as well as quality rules, thresholds, and remediation actions.
Purpose and use: The metadata supports data governance, data catalogs, and data quality workflows by enabling
Components: Core quality attributes (accuracy, completeness, timeliness, validity, consistency, integrity); quality metrics and scores; measurement methods
Lifecycle: Quality metadata is created or captured during data ingestion or data quality assessments, then updated
Standards and practices: Organizations may align to standards such as ISO 8000 (data quality), ISO 25012/25024
Impact and limitations: Quality metadata enhances transparency and trust, but requires ongoing maintenance, interoperability across tools,