Now, this data model AirqualityObserved can be used for indoors and outdoors measurements.
Check it out in the environment Subject.
This is the PR.
Thanks to the contributor Daniel Villalba.
Now, this data model AirqualityObserved can be used for indoors and outdoors measurements.
Check it out in the environment Subject.
This is the PR.
Thanks to the contributor Daniel Villalba.
It has been a minor fix in the water observed data model.
Check PR.
Included into the data model a first version for the placement of device. This feature allow a better use of the device data model in the smart sensoring domain .
See the Pull request.
The greenEnergy Subject now compiles two data models GreenEnergyGenerator and GreenEnergyMeasurement inherited (recover) from former synchronicity project.
Thanks to Esteban Rivas, and his entity the La Factoria BikeIn.
Thanks to the contribution of the University of Cantabria and the migration of data models from synchronicity project, now there is a new data model for Store in the repository of Point of Interest.
You can see the contributors which are the ones in the global repository belonging to University of Cantabria.
It takes a while to update the README.md and other documents.
Thanks to the contributors of Store data model inside the point of interest repository it has been detected an error in the shared element which maps schema.org concept of opening hours specification which was located at commons in the root of data models repository.
In order to reduce the amount of work in the contribution of data models, we have a script that generates the key-values format of a normalized NGSI LD payload.
It has been operated on 46 data models currently in the repository.
In a close future instead of submitting 4 examples, it will be only necessary to include 2 examples, the normalized payloads for NGSI v2 and NGSI LD (the other two would be generated automatically).
All the repositories have been normalized in the naming of the core examples. So:
It is possible to have more examples in the directory. And in the same directory of every data model, there are other exports (csv) for the use of the data model users.
The goal is that this 4 examples were present in every data model
The manual for a simple contribution of a data model has been updated. See it in this link.
As promised the README.md at Subject level explaining the different data models is automated, and therefore there is no need to be contributed by the contributors. See an example here for the weather subject
Thus, the README.md is based on the data models and their descriptions, linking to the current contributors
Soon the README.md for the domain will be also automated.
Best