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Data quality and quality control methods should be part of the data information file

Tags: assure, flag, quality

Prepare and document a plan for assuring the quality of your data, so that you and others can trust they are accurate.

In a data file, when actual measurements could not be obtained, estimated values should be identified.

Problematic data should be flagged to indicate known issues so potential users are aware the limitations of the data.

Keep descriptions and flags for data separate from values

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