Visit Schedules and Longitudinal Data Collection
Learning Outcomes
Outcomes
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Learning Outcomes
- Explain the role of the study protocol as the foundation for clinical research data collection.
- Translate research objectives, outcomes, eligibility criteria, procedures, and visit schedules into structured data requirements.
- Distinguish between primary and secondary outcomes and describe their importance for CRF design.
- Develop a data collection matrix that maps variables to study visits and data sources.
- Apply principles of good Case Report Form design for paper CRFs and electronic CRFs.
- Design variable names, coding schemes, and data dictionaries that support analysis, interoperability, and long-term documentation.
- Explain why CRF version control is essential for data consistency and regulatory traceability.
- Identify common CRF design errors and propose practical prevention strategies.