Summary - Q.5036 (03/2026) - Data management interfaces for a public decision-making framework on intelligent edge computing

Recommendation ITU-T Q.5036 specifies data management interfaces for a public decision-making framework based on the intelligent edge computing architecture described in Recommendation ITUT 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 collection functions, and decision-making service management functions. These functions ensure metadata and quality management, systematic data collection from heterogeneous sources, and the delivery of artificial intelligence (AI)-driven decision-making services in a secure and compliant manner.