Measuring Data Quality For Ongoing Improvement:... Access

Laura Sebastian-Coleman's "Measuring Data Quality for Ongoing Improvement" presents the Data Quality Measurement Framework (DQAF) to establish consistent, ongoing data quality monitoring across organizations. The framework outlines five core dimensions—completeness, timeliness, validity, consistency, and integrity—to facilitate better business-IT alignment and data maturity. Learn more about this framework at ScienceDirect . Measuring Data Quality for Ongoing Improvement