Presentation and Peer Review

The final presentation should be clear, concise, and evidence-based. Learners should avoid spending all their time describing the background study. The focus should be on the data management workflow. A strong presentation answers: 1. What was the study scenario? 2. What data needed to be collected? 3. How were CRFs and variables designed? 4. What validation and quality rules were implemented? 5. How were data imported and cleaned in R? 6. What summaries, visualizations, or reports were produced? 7. What documentation and governance controls were prepared? 8. What limitations remain? Peer review should be constructive. Reviewers should look for clarity, traceability, usability, and risk. A useful peer comment might say: "The age derivation is clear, but the codebook should state whether age is approximate or completed years." Another might say: "The dashboard shows missing outcomes, but it should restrict to participants whose follow-up is due." Such feedback helps learners improve both technical and professional quality.