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Validity, in the context of data quality, refers to how accurately data represents what it is intended to measure or represent. For example, a question in a registry may be worded ambiguously causing some participants to answer the question in a way that was not intended.

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Rare Diseases Registry Program (RaDaR): Understand What is Data

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