High-quality data possess several important attributes.

Accuracy

Data correctly represent the observed values.

Completeness

All required fields are collected.

Consistency

Information remains logically coherent across records.

Timeliness

Data are available when needed.

Validity

Data conform to predefined rules and formats.

Reliability

Repeated measurements yield comparable results.

Integrity

Data remain protected from unauthorized modification.

Data quality should be monitored continuously throughout the study.