This should most likely be related to genetic stock ID data, since it's more tangible and also a priority. The idea here is to test the implementation and feasibility of creating data integration contracts collaboratively to ensure data integration can happen smoothly and regularly, but also to develop/demo how the DSU tackles these data integration challenges.
Typical Data Contract elements:
Schema: Define the structure of the data, including data types, required fields, and data formats.
Storage: Define where the input data can be stored and where the output data will be available.
Data Quality Standards: Set rules for data accuracy, completeness, and consistency.
Update Frequency: Specify how often the data should be updated or refreshed.
Transformation Rules: Outline any data transformations that need to occur before data consumption.
Versioning: Establish version control for the data schema and any changes over time.
Roles and Responsibilities: Define who is responsible for providing the data (producers) and who will use it (consumers).
Compliance and Security Requirements: Include any regulatory or security standards that must be adhered to.
This should most likely be related to genetic stock ID data, since it's more tangible and also a priority. The idea here is to test the implementation and feasibility of creating data integration contracts collaboratively to ensure data integration can happen smoothly and regularly, but also to develop/demo how the DSU tackles these data integration challenges.
Typical Data Contract elements:
Schema: Define the structure of the data, including data types, required fields, and data formats. Storage: Define where the input data can be stored and where the output data will be available. Data Quality Standards: Set rules for data accuracy, completeness, and consistency. Update Frequency: Specify how often the data should be updated or refreshed. Transformation Rules: Outline any data transformations that need to occur before data consumption. Versioning: Establish version control for the data schema and any changes over time. Roles and Responsibilities: Define who is responsible for providing the data (producers) and who will use it (consumers). Compliance and Security Requirements: Include any regulatory or security standards that must be adhered to.