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Table 1 Operational definitions for six dimensions of data quality, adapted from Brown W, et al. [28]

From: Implementation and results of an integrated data quality assurance protocol in a randomized controlled trial in Uttar Pradesh, India

Accuracy Data are correct and reflect the truth
Reliability Data are consistently collected and entered in a standard way across data collectors
Timeliness Data are current due to routine data entry and available for near real-time reporting
Completeness There are no missing essential data elements
Precision Data have necessary detail to address research questions and management requirements
Integrity Data are secure and protected from bias or manipulation