Table 3.
Step | Potential Pitfalls | Solutions |
---|---|---|
1. Data collection | • Interobserver variability • Missing values • Technical advancement |
• Standard operating procedures • Data collection templates |
2. Quality assessment | • Data inconsistency • Data inaccuracy |
• Quality assurance checks • Data curation |
3. Extraction, transformation, and loading | • Coding errors • Formatting errors • Sharing/open access |
• Validation requirement • Provide restricted access |