Data integrity and data quality are important dimensions of data, while data complexity is related to the intricacies of data structure.
Data quality refers to the accuracy and completeness of attributes within a dataset, ensuring it meets the intended objectives. On the other hand, data integrity involves the honesty and trustworthiness of the collected data. However, data complexity is not a dimension of data, rather it refers to the intricacies and intricacies of the data structure.
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