🔒 Research Ethics and Data Privacy in Apiculture Studies
A 3D field-study data pipeline: watch raw apiary records travel from hives through an anonymization filter, an encryption gate and an IRB approval barrier before reaching a secure data vault.
Raw field records leave a 3D apiary, pass through an anonymization ring and an encryption gate, then wait at a red-lit IRB checkpoint that only turns green once approval is granted — visualizing how ethical safeguards gate data from hive to secure vault.
🔬 What It Demonstrates
Data packets shift from red (identifiable) to green (anonymized) as they cross the filter ring, and the IRB barrier physically blocks the pipeline — piling up queued packets — until oversight approval is switched on.
🎮 How to Use
Adjust the collection rate, researcher buffer distance, and anonymization strength; toggle encryption and IRB approval to see the pipeline's compliance state and queue respond in real time.
💡 Did You Know?
Under GDPR, precise hive GPS coordinates can count as personal data even without a name attached, since they can be cross-referenced with land records to identify the apiary's owner.
A 3D field-study data pipeline: watch raw apiary records travel from hives through an anonymization filter, an encryption gate and an IRB approval barrier before reaching a secure data vault.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install