Facing unexpected delays in data analysis can be stressful, but maintaining research integrity is paramount. Here's how you can handle it effectively:

• Document everything: Keep detailed records of all steps taken and decisions made to ensure transparency.

• Communicate with stakeholders: Regular updates can help manage expectations and maintain trust.

• Implement quality control checks: Regularly review data and methods to catch any issues early.

How do you handle data analysis delays while ensuring research integrity? Share your strategies.