Skip to content

adelaparras/logistics-data-interoperability-framework

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

2 Commits
Β 
Β 

Repository files navigation

Logistics Data Interoperability Framework

A practical reference architecture and implementation patterns for enabling cross-border data sharing between logistics systems while maintaining EU regulatory compliance, data sovereignty, and operational security.

πŸ“– What is Logistics Data Interoperability?

Data Interoperability in logistics enables operators, platforms, and authorities to securely share, verify, and act on transport and logistics information across fragmented systems and jurisdictions.

Core Challenge: Logistics networks span multiple operators, transport modes, countries, and regulatory jurisdictions. Without standardized interoperability, each participant maintains isolated data silos, preventing:

  • Real-time visibility across supply chains
  • Efficient authority compliance and inspection
  • Access to verified data for trade finance
  • Seamless multi-modal transport coordination

This Framework Addresses:

  • Machine-readable data standards for cross-system integration
  • API patterns for secure authority-operator communication
  • Verifiable credential frameworks for logistics events
  • Compliance-first architecture for regulated environments
  • Reference implementations for rapid deployment

🎯 Core Objectives

1. Enable Regulatory Compliance

  • Authority access to verified transport information
  • Immutable audit trails for inspection and enforcement
  • Cross-border data exchange within legal frameworks
  • Data sovereignty and GDPR alignment

2. Maintain Operator Control

  • Selective data disclosure and privacy preservation
  • Decentralized identity for authentication and authorization
  • Transparent access logging for operator visibility
  • Portable credentials and data ownership

3. Drive Ecosystem Efficiency

  • Standardized data models for interoperability
  • Real-time event-driven architectures
  • Reduction of manual documentation and duplicate entry
  • Financial services enablement through verified data

4. Support Digital Sovereignty

  • European-aligned data governance
  • Federated network architectures
  • Technology-agnostic compliance frameworks
  • Open standards and open-source tools

πŸ› οΈ Framework Components

1. Data Models & Schemas

Logistics Base Schemas:

  • Shipment information (origin, destination, contents, weight)
  • Transport information (carrier, vehicle, route, mode)
  • Customs information (HS codes, value, origin)
  • Party information (shipper, consignee, operator credentials)

Verifiable Credential Schemas:

  • Operator licenses and certifications
  • Vehicle compliance and registration status
  • Transport event attestations (pickup, delivery, border crossing)
  • Authority digital signatures and timestamps

Event-Driven Models:

  • Real-time shipment status updates
  • Transport milestone events
  • Compliance checkpoint notifications
  • Anomaly and exception triggers

2. Integration Patterns

Authority-Operator APIs:

  • RESTful and event-driven endpoints for data submission
  • Query APIs for authority inspection and verification
  • Webhook patterns for real-time event notification
  • Rate limiting and authentication/authorization

Operator-to-Operator Integration:

  • Carrier-forwarder data exchange
  • Multi-modal transport handoff protocols
  • Cross-border coordination frameworks
  • Shared ledger patterns for settlement

Data Verification Mechanisms:

  • Cryptographic signatures for non-repudiation
  • Timestamp authorities for temporal verification
  • Immutable audit logs for compliance inspection
  • Zero-knowledge proofs for selective disclosure

3. Compliance-First Architecture

eFTI Compliance Layer:

  • Machine-readable transport data standards
  • Certified platform communication protocols
  • Authority access and inspection mechanisms
  • Audit trail and logging requirements

Data Governance & Privacy:

  • Data classification and handling rules
  • Selective attribute disclosure
  • Encryption and key management
  • GDPR consent and data minimization

Security & Trust:

  • mTLS and certificate management
  • API key rotation and revocation
  • Network segmentation and monitoring
  • Penetration testing and vulnerability management

4. Reference Implementations

API Server (Node.js/Python)

  • Authority access endpoint
  • Operator submission API
  • Credential issuance and verification
  • Event streaming and webhooks

Credential Schemas (JSON-LD/W3C)

  • Verifiable Credential templates
  • Schema validation and versioning
  • Issuer and verifier configurations

Client Libraries

  • SDK for API integration
  • Credential generation and verification
  • Cryptographic utility functions
  • Authorization and authentication helpers

Docker Compose Environment

  • Full stack deployment for testing
  • Authority mock service
  • Operator platform simulator
  • Blockchain/ledger services

πŸ“‹ Implementation Phases

Phase 1: Design & Planning

  • Define data schemas for your use case
  • Map current system architecture
  • Identify integration touchpoints
  • Assess compliance requirements
  • Plan API and credential structures

Phase 2: Development & Testing

  • Implement API endpoints
  • Build credential issuance and verification
  • Create reference implementations
  • Set up test environments
  • Conduct integration testing

Phase 3: Security & Compliance

  • Security architecture review
  • Penetration testing and vulnerability assessment
  • Compliance audit against regulatory requirements
  • Access control and authorization testing
  • Audit trail and logging validation

Phase 4: Deployment & Operations

  • Production infrastructure setup
  • Authority integration and testing
  • Operator onboarding processes
  • Monitoring and alerting
  • Incident response procedures

πŸ”— Resources & References

EU Regulatory Framework

Technical Standards

Related Research

  • See decentralized-identity-patterns for DID and credential frameworks
  • See trade-finance-research for verified data in financial services
  • See eu-logistics-compliance-resources for regulatory guidance
  • See efti-implementation-guide for eFTI-specific compliance details

πŸ“š Documentation Structure

β”œβ”€β”€ docs/ β”‚ β”œβ”€β”€ architecture/ β”‚ β”‚ β”œβ”€β”€ system-design.md β”‚ β”‚ β”œβ”€β”€ data-flows.md β”‚ β”‚ └── security-model.md β”‚ β”œβ”€β”€ schemas/ β”‚ β”‚ β”œβ”€β”€ shipment-schema.json β”‚ β”‚ β”œβ”€β”€ credential-schemas.json β”‚ β”‚ └── event-models.json β”‚ β”œβ”€β”€ api/ β”‚ β”‚ β”œβ”€β”€ authority-endpoints.md β”‚ β”‚ β”œβ”€β”€ operator-endpoints.md β”‚ β”‚ └── webhook-events.md β”‚ β”œβ”€β”€ guides/ β”‚ β”‚ β”œβ”€β”€ getting-started.md β”‚ β”‚ β”œβ”€β”€ operator-integration.md β”‚ β”‚ β”œβ”€β”€ authority-integration.md β”‚ β”‚ └── compliance-checklist.md β”‚ └── examples/ β”‚ β”œβ”€β”€ api-requests.md β”‚ β”œβ”€β”€ credential-issuance.md β”‚ └── event-handling.md β”œβ”€β”€ src/ β”‚ β”œβ”€β”€ api/ β”‚ β”œβ”€β”€ schemas/ β”‚ β”œβ”€β”€ crypto/ β”‚ └── utils/ └── examples/ β”œβ”€β”€ docker-compose.yml β”œβ”€β”€ nodejs-client/ └── python-client/

🀝 Contributing

This framework is designed for collaborative development. Contributions welcome in:

  • Schema refinement and standardization
  • API endpoint design and review
  • Reference implementation improvements
  • Documentation and guides
  • Testing frameworks and validation tools
  • Real-world use case documentation

Last Updated: May 2026. Framework designed for EU regulatory alignment and continuous evolution with logistics industry standards.

About

Reference architecture and implementation patterns for enabling cross-border data interoperability between logistics systems while maintaining regulatory compliance, data sovereignty, and operational security.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors