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10/01/2017DATA CHECKING, COMPLETENESS AND COVERAGEData quality aspects The quality of vital statistics is defined in the UN Principles and Recommendations as follows (pp15): The quality of vital statistics
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Data checking is the process of verifying and validating data for accuracy and consistency.
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Any organization or individual who collects and manages data is required to file data checking.
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Data checking can be filled out by reviewing data entries, performing data validation tests, and documenting any discrepancies.
What is the purpose of data checking?
The purpose of data checking is to ensure that data is accurate, reliable, and up-to-date.
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Information such as data sources, data entry processes, validation methods, and any data discrepancies must be reported on data checking.
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