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Answer: Data integrity is important in QA to ensure the dependability and trustworthiness of data employed for decision-generating. The Main ideas will often be summarized as ALCOA+ (from time to time ALCOA++):Via these experiences, I’ve received a sound understanding of the best way to correctly use HPLC in a pharmaceutical context.”India is t