Currently, the README.md at data models level (inside every directory in a Subject) explaining the contents of the data models is automated, and therefore there is no need to be contributed by the contributors. See an example here for the weather forecast.
Thus, the README.md is based on the examples provided, the specification and the model.yaml.
Soon the README.md for the Subject will be also automated.
Smart Data Models. Report and Open Session
06/01/2025 2:00 pm - 3:00 pm
Monthly meeting of Smart data models program to report and collect general feedback from users.
For specific questions use the booking service of support
https://calendly.com/smartdatamodels
** Update pysmartdatamodels.py
** Contributing vineyard to wine traceability data models for incubation
** added examples and needed files for all resource types of HL7/FHIR-R4
** Added schema and adopters for MachineTool OPCUA and TimeSeries AAS
** INCODE data models update - second round of validation
** Update Schema: Replace ResultDescription with Analytics
** Extend schemas for Dataset and DataService from 2.1.1 to 3.0.0
** Update pysmartdatamodels.py
** Contributing vineyard to wine traceability data models for incubation
** added examples and needed files for all resource types of HL7/FHIR-R4
** Added schema and adopters for MachineTool OPCUA and TimeSeries AAS
** INCODE data models update - second round of validation
** Update Schema: Replace ResultDescription with Analytics
** Extend schemas for Dataset and DataService from 2.1.1 to 3.0.0
