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DATA_LIFECYCLE.md

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# Data Lifecycle
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Draft for expert review.
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## Stages
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1. Contributor reads consent/assent information.
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2. Contributor uploads an AI conversation export.
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3. Raw input is processed by the anonymization service.
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4. Raw input is discarded unless an approved retention exception exists.
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5. Anonymized records enter review and scoring.
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6. Approved records are aggregated for public reporting.
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7. Dataset releases are generated only after privacy checks pass.
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8. Retention and deletion requests are handled according to the final policy.
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## Open Questions
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- What retention period, if any, is appropriate for raw processing logs?
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- What expert review is required before accepting submissions from minors?
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- What minimum cohort thresholds should apply before publication?

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