Validation is a key task performed in all statistical domains. Efficient data validation is essential for high quality statistics. Guidelines for assigning validation responsibilities within the whole production chain, standard validation levels, a good selection of validation rules, standards for validation reports and error/warning messages and common documentation standards of the validation process are important elements of a good data validation policy. In principle, all data validation processes share a common approach, shown in the diagram below.
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Figure 58 Figure 52 – Validation
The data are checked in successive steps:
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