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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.

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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  • Withdrawal: participants can stop; withdrawn responses are reflected across the app.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).
  • Sensitive data: avoid collecting identifiers you don’t need.

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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.

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Open & honest reporting

  • Preregister 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.
Requirements vary by institution and country. Use this as a starting point and confirm with your IRB/ethics board.