New data models for
available at its own repository in the Cross-sector domain.
Thanks to stbnrivas for its migration from previous project Synchronicity
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Author: maestro
Working on new data models for water
In the pending repository (the place where the data models can be developed if you wish) there is an interesting working going on about sensoring related to water management.
In development is :
– A data model for the actuator
– A data model for the service which is related to the actuator
– Modifications of the device data model
– A data model for a gateway gathering the data of a group of sensors
They are in the very early stages (so not that much is being contributed).
These contributions are based on the works of the EU project FIWARE4WATERÂ in its group of IoT data models. You can contact them here.
Help for data modellers
Some of the contributors have requested some help about creating new data models. How to do it and where to do it.
HOW TO CREATE DATA MODELS
1) If you are clear about the payloads that you want to share (you have a plain key values json payload)
2) You can use this tool https://www.liquid-technologies.com/online-json-to-schema-converter (This link is always available in the Learning Zone on the upper menu, section tools)
to generate a draft version of the json schema. You will have to review (for sure).
– Whether you need some restrictions (min, max) on number properties
– The number of required properties
– The full list of options in enumeration properties
– Remove the context (it is treated as property)
– Check the Arrays (minItems, etc)
and possibly some other minor issues
WHERE TO CREATE DATA MODELS
3) We offer an open repository named pending for you to contribute while developing. Ask for access raising an issue with the option ‘Access to pending repository’
http://data-models.fiware.org/index.php/submit-an-issue-2/
Updating data models for aquaculture
The data models for aquaculture are under specification. Contributors interested can make Pull Request or submit through the form
New data models on urban transportation
Thanks to the University of Cantabria (check the updated contributors.yaml) there are two new data models for Urban Mobility inside the domain of Smart cities
PublicTransportRoute
PublicTransportStop
They are focused on the needs of public transport while been quite aligned with GTFS standard
Fixed offStreet parking data model
The offStreet parking data model (inside smart cities domain) had improved its consistency between the specification and the examples and the data model schema. And to be aligned with DATEX II specification.
Check it out in this link OffStreetparking to see it complete.
Thanks to the user danvilmont
Submodules for Smart Destination
The new domain of Smart Destination includes now data models from Weather and Point of Interest. They are available as submodules.
The submodules are independent repositories and therefore its evolution will help Smart Destination to keep updated with the new needs.
Documentation status for all data models
Every day will be checked the documentation available for each data model and the result is dumped in the file documentationStatus.json
It would help a user to identify all the documentation, examples, schemas and specification available and it allows an automated use for any other purpose.
Check it out.
Subscribe to the news on Smart Destination data models
In the subscribe page (Weekly lists to be informed about the news on the different domains of data models) there is now a new option for the domain of Smart Destinations (at the bottom of the page).
In this post also the direct access to this list.
New domain for Smart Destinations
We are glad to announce the creation of a group on Smart Destinations. These destinations are related to their touristic exploitation.
The domain has been just created.
Its first goal will be to map the standard UNE 178503 : 2019 Smart tourism destinations. Semantics applied to tourism into the correspondent data models.
feel free to contact us for further info.
Slack channel
Validate a payload with a data model