As data and artificial intelligence (AI) technologies have emerged, digital twin smart aquaculture can be aided by edge-cloud platform service which provides low delay service from edge server and powerful performance service from cloud server. As an edge cloud infrastructure realizing the edge cloud-aided smart aquaculture system, intelligent edge computing (IEC) is a well-defined foundation. Among the reference points defined for IEC, reference points between terminal entity (TE) and edge networking entity (ENE) can be used for the interaction between aquacultural entities, such as sensors and actuators used for smart aquaculture, and an edge server. By use of the reference points, digital twin aquacultural entities can report the growth-related data including configuration and measurement data to an edge server. For deep analysis requiring high computation power, the analysis and generation can be performed by the cloud. The edge server, then, sends the generated optimal models to terminal entities. To support the above operations, a method is needed to interact on the defined reference points. Rec. ITU-T Q.5001 defines signalling messages for network functions and intelligent data processing. However, in addition to the defined signalling messages, it is needed to support an API such as Web API in order to accommodate legacy devices which only support Web-based communications. In addition, service-specific API will be helpful to support service-specific functions. This draft Recommendation defines data management interfaces for intelligent edge computing-based digital twin smart aquaculture service.