> ## Documentation Index > Fetch the complete documentation index at: https://docs.myresearchlab.app/llms.txt > Use this file to discover all available pages before exploring further. # IRB & data-handling checklist > Run ethical, privacy-respecting studies. Massive Research Lab is built to keep participant data minimal and your studies IRB-friendly. This is a practical checklist, **not legal or ethics advice** — your institution's IRB is the authority. ## Before you launch * [ ] **Consent**: the first block(s) present an information sheet + consent, and participants can decline. * [ ] **Withdrawal**: participants can stop; withdrawn responses are reflected across the app. * [ ] **Debrief**: a closing block explains the study (especially for any deception design). * [ ] **Compensation**: reward + eligibility set fairly (see [Prolific](/integrations/prolific)). * [ ] **Sensitive data**: avoid collecting identifiers you don't need. ## How the platform protects participants * **No participant PII in analytics.** The participant runtime (`/take/*`) is never tracked by product analytics; only a one-way user-agent hash + coarse country are ever recorded, never raw IP/UA. * **Opaque recruitment IDs.** Provider participant IDs are stored opaquely — Prolific PII does not enter your dataset. * **BYO AI keys.** AI features run under *your* provider key; when a study uses AI, a non-determinism disclosure is added to the preregistration automatically. * **Encrypted connections.** OSF/Prolific/AI credentials are stored encrypted and never shown again. ## Open & honest reporting * [Preregister](/methodology/preregistration) to timestamp your plan. * Push labelled **amendments** rather than silently editing a registered plan. * Make the study public so it can be cited and [replicated](/methodology/replication). Requirements vary by institution and country. Use this as a starting point and confirm with your IRB/ethics board.