Previous Next Step Data Quality Management and Query Resolution Data Quality Management and Query Resolution: Orientation Learning Objectives 15-20 minutes Foundational Step 1 of 2 Flip Cards Learning Objectives 1 / 2 Flip Cards Learning Objectives Listen Objective 1 Explain the meaning of data quality in clinical research and why it must be managed continuously. Objective 2 Describe major dimensions of data quality, including accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity. Objective 3 Identify common sources of data quality problems across the clinical research lifecycle. Objective 4 Develop a data quality plan that defines checks, responsibilities, timelines, and escalation procedures. Objective 5 Use REDCap Data Quality tools and reports to detect missing, invalid, inconsistent, and duplicate data. Objective 6 Explain the query management workflow from discrepancy identification to query closure. Objective 7 Write clear, neutral, non-leading data queries. Objective 8 Interpret query metrics and use them to improve study operations. Objective 9 Explain central monitoring and risk-based monitoring approaches. Objective 10 Describe database freeze and database lock and the data management work required before each milestone. Previous Lesson Next Step
Flip Cards Learning Objectives Listen Objective 1 Explain the meaning of data quality in clinical research and why it must be managed continuously. Objective 2 Describe major dimensions of data quality, including accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity. Objective 3 Identify common sources of data quality problems across the clinical research lifecycle. Objective 4 Develop a data quality plan that defines checks, responsibilities, timelines, and escalation procedures. Objective 5 Use REDCap Data Quality tools and reports to detect missing, invalid, inconsistent, and duplicate data. Objective 6 Explain the query management workflow from discrepancy identification to query closure. Objective 7 Write clear, neutral, non-leading data queries. Objective 8 Interpret query metrics and use them to improve study operations. Objective 9 Explain central monitoring and risk-based monitoring approaches. Objective 10 Describe database freeze and database lock and the data management work required before each milestone.