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By entering certain mandatory fields
Monitoring a "data quality index" using the defined indicator. This indicator is calculated for each data import and individual field level obtained as a ratio between the number of field values considered correct vs. the number of values considered incomplete
We can create an indicator to monitor this quality index over time, along with detailed data from the associated context for easy review.
Fig. 23. Example of variation of quality indicator data entry
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There are several types of context. A type of context, called "Global" is a set of events (dates) on a timeline. A special event is "SourceOrigin" and can be used to filter data from that date. This context is generated and maintained by the user through "Global Notes".
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