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Handbook on Data Quality Assessment Methods and Tools
important assessment methods: Quality reports, quality indicators, measurement of process variables, user surveys, self-assessment and auditing, as well as the approaches labelling and certification. The handbook provides a concise description of the data quality assess-ment methods currently in use.
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