OpenDSTP is built on the principle that data privacy, transparency, and trust should be at the core of every sharing.
We designed an architecture that makes data ingestion, compliance, and secure delivery effortless—without storing sensitive data long-term. Here’s a step-by-step breakdown of how the platform works:
Data Ingestion
Organizations or individuals connect their datasources/datasets via: - API integrations - UI-based upload - Connector plugins
In-Memory Session Processing
Submitted data is stored temporarily in a high-speed in-memory database (Redis), where it is held only during processing, with a time-to-live (TTL) that ensures automatic deletion after a session.
No data is permanently saved to our database. ✅
Anonymization & Compliance
Using built-in tools and AI-based rulesets, the data undergoes: - De-identification - Pseudonymization - Field masking - Policy-based redaction
Compliance checks are enforced against GDPR, HIPAA, and local data governance laws.
Immutable Audit Logging via Blockchain
Every data interaction—upload, transform, share—is immutably logged on a blockchain ledger, providing: - Tamper-proof audit trails - Full traceability - Zero-knowledge verifiability
Secure Delivery
Once processed, data is made available for: - API-based retrieval - Time-bound download links - Direct system-to-system delivery
Access is tightly controlled with role-based permissions, tokenized access keys, and endpoint encryption.
Visibility Without Ownership
For reporting and insight purposes, only metadata such as: - Dataset sizes - Usage patterns - Session durations - Compliance status - User interactions
…are stored in the platform’s analytics engine—never the actual data.
OpenDSTP is designed for teams who want the benefits of a secure data sharing platform without compromising on privacy, performance, or user trust.
Let data flow, but never linger.
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