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Guidelines for Data Quality Assessment (DQA)

                                                                                                                                                          Guidelines for  Data Quality Assessment (DQA) What is Data Quality Assessment (DQA)? DQA stands for Data Quality Assessment or Data Quality Audit. It is a systematic process of evaluating the quality of data that is being collected, processed, stored, and used in a program or project. The objective of DQA is to identify and address any issues or challenges related to data quality that may affect the validity, reliability, and usefulness of the data. The DQA process typically involves a review of data collection methods, data entry processes, data management systems, data analysis procedures, and data reporting and dissemination processes. The DQA may also include a review of the quality of the data itself, including data completeness, accuracy, consistency, and timeliness. The results of the DQA are used to identify areas for impr