Sampling Surveys
Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that data remains unaltered and valid during storage, processing, and transmission. This concept is crucial for maintaining trust in data-driven decision-making and is closely tied to issues like nonsampling errors, confidentiality, and ethical conduct in research.
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