SayPro Conducting periodic reviews of data quality and alignment with SayPro research standards

Periodic Data Quality Review & Standards Alignment Process

1. Establish Review Schedule

• Define regular intervals (e.g., monthly, quarterly) for data quality audits.
• Align review frequency with project timelines and reporting cycles.

2. Define Review Criteria Based on SayPro Standards

• Completeness: Check for missing data or gaps.
• Accuracy: Validate data against source records and expected ranges.
• Consistency: Ensure uniform formats, coding, and units across datasets.
• Timeliness: Confirm data is current and relevant.
• Compliance: Verify adherence to SayPro research protocols and templates.

3. Assign Responsibilities

• Designate data stewards or quality officers within the team.
• Include cross-functional reviewers for unbiased assessments.

4. Conduct Data Audits

• Use SayPro-approved tools and checklists for systematic evaluation.
• Document findings, issues, and corrective actions.

5. Feedback and Remediation

• Communicate identified issues to data owners promptly.
• Track resolution status and re-assess after corrections.

6. Reporting

• Compile a data quality report summarizing audit results, trends, and recommendations.
• Submit reports to SayPro Research Office for oversight and record-keeping.

7. Continuous Improvement

• Use insights from reviews to update data collection processes and training.
• Integrate feedback loops to prevent recurring issues.