What is data quality in GIS?

Audit in GIS focuses on systematically checking data quality, processes, and compliance around geodata. It establishes whether data is complete, current, consistent, and reliable, and whether workflows meet agreements and regulations.

Examples: sampling BGT deliveries by a municipality, checking whether attributes match geometry, traceability of changes (who changed what when), and compliance with metadata and quality standards. Data quality (completeness, timeliness, accuracy) is central.

A GIS audit is not the same as a financial audit or logging alone. It combines technical checks with substantive assessment of spatial data, often as part of ISO quality management or supplier agreements.