Looking at the two first domains a) Completeness/timeliness, b) Internal consistency (plausibility) are actually normal and routine steps of any analysis of a data set. So if, within the district, monthly meeting are organized to analyse data and actually use them for concrete decisions, or if supervision are conducted regularly, outliers such those that you have shown, bob, should be corrected right away and not appear in the national data base. The point that I would like to make is that before data quality verification at te level of a national survey, the actual use of the information is the first condition for data quality.
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