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Quality assurance (QA) is a comprehensive data management strategy that encompasses all aspects of GIS workflows and standards. Quality control (QC) involves a set of tasks often using GIS tools and procedures, along with visual inspection of the data to find features and attributes that don't conform to a specified standard or other criterion. Together, QA and QC represent a proactive program of work by one or more people, whereby action is taken to protect and sustain the GIS database.

The basic framework of a QA program includes establishing data quality standards, creating a QA plan, recording and tracking errors, and using a set of regular QC checks to measure quality and find errors.

QA/QC and Data Quality Standards

Standards (and standardization) ensure that the organization can build ...

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