This is essential reading for anyone using or producing hydrometric data. These twelve examples illustrate how data, for want of effective data and metadata management, can be disinformative rather than informative. Data users need to read this to learn what tests to perform and what questions to ask of their data. Data producers need to read this to learn how to prepare and present their data in a way that prevents misuse and misunderstanding.

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