Post-Shock Beneficiary Selection and Data Access - SR-017

Program Architecture Layer

Business Logic Layer

Module

Interoperability and Integration

Component

Targeting Algorithm

Level of Importance

Optional

Priority

Medium

Social Protection Delivery Chain Stage

Assess, Enroll

Requirement Description

SR must implement a data sharing protocol and provide an asynchronous API for external shock response systems to rapidly access and analyze registrant data (including both potential and current beneficiaries) for beneficiary selection, program adaptation, and crisis response.

Justification

Critical for enabling responsive and adaptive social protection measures, especially during crises. This functionality allows for rapid identification and support of vulnerable populations in emergency situations.

Use Case

  1. Provide rapid access to registrant data for emergency response programs. 

  2. Enable quick identification of vulnerable populations in affected areas. 

  3. Support adaptive social protection measures in response to shocks. 

  4. Facilitate immediate scale-up of existing programs or deployment of new emergency interventions. 

  5. Allow for real-time analysis of population data to inform crisis response strategies.

Data Elements Required

Registrant ID, Demographic Data, Socioeconomic Data, Geographic Data, Program Enrollment Status, Shock Response Data, Vulnerability Indicators

Minimum Technical Specifications

  • Data Sharing: Asynchronous REST API for external shock response systems 

  • Data Access: Read-only access to relevant registrant data 

  • Security: OAuth 2.0 for secure API access 

  • Data Format: JSON for data exchange

Standard Technical Specifications

  • Data Sharing: Streaming API for real-time registrant data access 

  • Data Access: Granular access controls with JWT tokens 

  • Security: Integration with Identity and Access Management (IAM) systems 

  • Data Format: JSON-LD for enhanced data context and interoperability 

Advanced Technical Specifications

  • Data Sharing: Real-time federated data access using GraphQL 

  • Data Access: Attribute-based access control with AI-driven policies 

  • Security: Zero-trust architecture with continuous monitoring 

  • Data Format: RDF for advanced data relationships and querying 

  • Analytics: Machine learning models for rapid vulnerability assessment and beneficiary selection

Security & Privacy Requirements

  • Implement OAuth 2.0 or more advanced authentication for secure data access 

  • Ensure end-to-end encryption for all data transmissions 

  • Implement strict access controls based on user roles and crisis response needs 

  • Maintain detailed audit logs of all data access during crisis response 

  • Comply with data protection regulations while enabling rapid response capabilities

Scalability Considerations

  • Implement a streaming API to handle large volumes of real-time data requests 

  • Use distributed computing techniques to manage sudden spikes in system usage 

  • Implement caching mechanisms for frequently accessed data to reduce database load 

  • Design for horizontal scalability to accommodate increased demand during crises 

Interoperability Requirements

  • Ensure integration capabilities with various shock response systems using standardized protocols 

  • Support federated data access to allow interoperability with other relevant databases 

  • Implement standardized data models and exchange formats (e.g., JSON, XML) for easy integration 

  • Provide clear API documentation and support for easy integration by external systems

Compliance with International Standards

  • Ensure compliance with GDPR and other relevant data protection regulations 

  • Adhere to ISO 22301 for business continuity and crisis management 

  • Follow OASIS Emergency Data Exchange Language (EDXL) standards for emergency data interoperability 

  • Align with the Sendai Framework for Disaster Risk Reduction 2015-2030

User Interface Requirements

  • Provide a dashboard for monitoring API usage and data access during crisis response 

  • Implement a user-friendly interface for configuring data sharing rules and access policies 

  • Create visualizations for real-time analytics on beneficiary selection and program adaptation

 

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