Dynamic data obscurity.
summary
Panel proposes Dynamic Data Obscurity: replace static IDs with changing pseudonyms (separate site identifiers linked by removable keys) so datasets remain useful yet unlinkable until keys open; contrasts this with encryption, deidentification and do‑not‑track. A concrete engineering+policy method uses a disclosure control framework (risk+utility profiling, technical/operational/policy controls, iterative assessment) implemented as reusable JSON templates and environments. Examples include wearables that flag driver fatigue and CPAP research stalled by >50% device data failures; open‑source, user‑held identity is recommended for IoT.
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chapters (13)
- 0:00Introduction
- 1:19Moderator Marty Abrams
- 3:52Dynamic data obscurity
- 8:35Static anonymity
- 14:26I am the policy person
- 15:20My approach
- 20:37Weight loss plan
- 26:40Observational world
- 46:52Data privacy
- 52:08Zero risk
- 53:48Ease of correlation
- 55:32Privacy Impact Assessment
- 58:50Trust vs Transparency
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