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3. Data Life Cycle

3.4.3 Validation

During the validation phase, datasets are examined in order to find errors, to verify completeness and to ensure they are trustworthy and ready to be used.

Rules are put in place for specific data types and contexts to help identify missing data, inconsistencies and errors. For example, a rule could state that an acceptable water temperature value for a specific stream has to be between Tmin and Tmax, corresponding to the minimum and maximum observed at a specific site during a specific period.