About Course
Establish practical systems that prevent, detect and correct field-data errors before analysis begins.
Build practical capability in field data quality assurance
This DatalytIQs Academy course provides a structured learning pathway around field data quality assurance. The curriculum below shows the learning areas and activities currently included in the course.
What you will explore
- Explore Quality assurance design.
- Explore Common field-data risks.
- Explore Live monitoring.
- Explore Verification and correction.
- Explore Quality reporting.
- Explore Professional evidence checkpoint.
Course curriculum
The current Tutor LMS curriculum contains the following learning areas and activities.
Quality assurance design
- Define quality standards, roles and escalation paths
- Prepare daily supervisory and enumerator controls
- Quiz: DTQ-104 Theory Quiz: Field Data Quality Assurance
Common field-data risks
- Detect coverage, consent, timing and interviewer risks
- Recognise fabrication, straight-lining and inconsistent responses
Live monitoring
- Use dashboards and spot checks to monitor fieldwork
- Create exception rules and follow-up workflows
Verification and correction
- Conduct back-checks, call-backs and record verification
- Document corrections without overwriting the audit trail
Quality reporting
- Summarise errors, response rates and corrective actions
- Communicate actionable quality findings to management
Professional evidence checkpoint
- Submit a field QA plan, monitoring log and corrective-action report
Learning with DatalytIQs
DatalytIQs Academy connects structured learning with applied analysis, evidence-based thinking and professional practice. Use the course curriculum and learning activities as your primary pathway through this course.
Course Content
Quality assurance design
-
Define quality standards, roles and escalation paths
-
Prepare daily supervisory and enumerator controls
-
DTQ-104 Theory Quiz: Field Data Quality Assurance
Common field-data risks
Live monitoring
Verification and correction
Quality reporting
Professional evidence checkpoint
Student Ratings & Reviews
No Review Yet