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Work item:
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Q.5036 (ex Q.IEC-PDMF)
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Subject/title:
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Data management interfaces for public decision-making framework on Intelligent edge computing
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Status:
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Determined on 2025-11-26 [Issued from previous study period]
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Approval process:
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TAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2025-Q4 (Medium priority)
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Liaison:
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ITU-T SG13, SG20
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Supporting members:
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Korea (Republic of.), ETRI,
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Summary:
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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 socio-economic 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 socio-economic 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.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2024-05-20 15:34:45
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Last update:
2025-12-02 14:58:36
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