How to Delete Study Data
Remove a study or its data when retention rules or project needs require it.
The Short Version
Remove a study or its data when retention rules or project needs require it. A practical way to begin is to export any needed archives first, then confirm institutional retention requirements. Finish by making sure you store local backups if required by your protocol. The full walkthrough below explains each part in order.
Is This Guide for You?
Researchers managing privacy, storage, or IRB commitments.
Follow These Steps
Work through these 4 steps at your own pace. The wording is intentionally practical, and you can return to the checklist at the end when you are ready to review your work.
- Export any needed archives first.
- Confirm institutional retention requirements.
- Use delete controls only when you are sure.
- Store local backups if required by your protocol.
What This Helps You Accomplish
Researchers are responsible for retaining or deleting data according to their IRB, consent language, and institutional policies.
A Quick Confidence Check
- Export before deleting.
- Do not delete data needed for replication.
- Record deletion decisions in project notes.
Common Questions
Can I use this guide if I am new to this?
Yes. Researchers managing privacy, storage, or IRB commitments. Follow the steps in order, start with a small test, and use the final checklist before you field or report anything important.
What is the simplest way to get started?
Begin by export any needed archives first. Next, confirm institutional retention requirements. You do not need to perfect every setting before running a small preview or pilot.
How do I know when I am ready?
Use the confidence check above. In particular: Export before deleting. Do not delete data needed for replication. Record deletion decisions in project notes. When the decision is consequential, keep your study documentation and ask a qualified colleague or methods reviewer to examine the design as well.
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