Summary

This Recommendation specifies data management interfaces for a public decision-making framework based on the intelligent edge computing architecture described in ITU-T Q.5001. The framework supports AI-based decision-making services by enabling secure and efficient data collection, governance, and management interfaces from statistical data distributed across multiple stakeholders.

The architectural framework comprises three layers; the interworking layer, the data layer, and the service layer. These layers integrate functional blocks for data collection, governance, and decision-making service management. Data layer APIs support operations such as collection, retrieval, update, and deletion of statistical data stored at the edge. Service layer APIs govern data and service operations while enabling trustworthy and compliant public decision-making services.

Key functions defined in this Recommendation include data governance functions, data collect functions, and decision-making service management functions. These functions ensure metadata and quality management, systematic data collection from heterogeneous sources, and delivery of AI-driven decision-making services in a secure and compliant manner.