Data Quality Assurance (MEA 204)
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MEA 204 – DATA QUALITY ASSURANCE
Module Objective
To develop learners' ability to assess, improve and maintain the quality, accuracy, reliability and integrity of programme data.
Learning Outcomes
Learners should be able to:
1. Explain data quality.
2. Identify common data quality problems.
3. Conduct Data Quality Assessments.
4. Identify data inconsistencies.
5. Verify reported results.
6. Develop data quality procedures.
7. Establish data quality standards.
8. Conduct source document verification.
9. Develop data quality improvement plans.
10. Maintain reliable MEAL databases.
Module Content
1. Data quality concepts
2. Accuracy
3. Completeness
4. Consistency
5. Timeliness
6. Integrity
7. Reliability
8. Data Quality Assessments
9. Data verification
10. Source document verification
11. Data cleaning
12. Data validation
13. Error detection
14. Data quality protocols
15. Data quality checklists
16. Data quality audits
17. Corrective action
18. Data governance
19. Data security
20. Data quality improvement plans
Practical Output
Conduct a simulated Data Quality Assessment and prepare a Data Quality Improvement Plan.
IPSD Contact Information
Mr. Peter Senesie, IPSD Assistant Vice President and Dean
Email: psenesie@pathsu.education
Whats App: +232 76 752525
Dr. Michael Udam, Associate Dean, IPSD
Email: mudam@pathsu.education
Whats App: +234 803 249 6398
IPSD Website: PATHS University IPSD
Admissions: admissions@pathsu.education