In the new subject dataModel.WaterConsumption there is a new data model, WaterConsumptionObserved capable of storing the values and alarms related to the water consumption of a final user,
Thanks to the Contributors.
Find here the presentation
Presentation of the 21-6-21 in the open session.
– OPEN-SESSION-SMART-DATA-MODELS(1)
You can join the event directly here http://bit.ly/smartdatamodels
If you want to have it on your agenda click here.
If you want to present something these are the slides with several free slots to be filled by the people attending.
In order to provide a simple way to contact the different meetings around the Smart Data Models initiative now you have two new services, a calendar in the right upper corner, together with this new option in the menu. (About -> Events Calendar
Additionally, a very simple theme has been assigned if you are accessing the site from your mobile in order to improve the performance (and the SEO as a consequence)
We have created an export of Smart Data Models in DTDL format. You’ll see them in the root directory named schemaDTDL.json.
A bit more than 500 models have got it because we are in the process of a final complete mapping between the possibilities of JSON schema and DTDL.
This is the first version for testing purposes and they are not meant to be ready for production. Anyhow, we welcome any feedback on them.
See this example schemaDTDL.json, and a tool for finding all of them is available here. (Same tool for any other search).
A new tool (capable of the creation of more complex data models) is available at the menu “Draft a data model”.
It is an external tool that simplifies the json schema needs.
Hope it speeds up the development of new data models and simplifies it for newcomers to this syntaxis.
Anyhow this is the best guide (simple and straight to the point we know)
It is also available at the learning zone in the upper menu.
The JSON schema is our single source of truth compiling into a single document the technical description with the definitions of every element in the data model.
LATAM session will be held next 9th 21:00 CEST time. This block presents non-motorized transport (NMT) digitalization. We’ll have the use case of Smart Data Models with Bikelanes of Benidorm in Spain with Everis. The University of Cantabria will give a great opening with how Santander Smart City digitally evolved, covering FIWARE’s evolution. The NMT unit of the Municipality of Lima, NUNO, and FIWARE Foundation will flesh the discussion on sustainable cities and comment on the opportunities brought by FIWARE technologies presented on the panel.
The sessions will be held in Spanish, find out the presentation.
Open and Agile Smart Cities (OASC) has joined the Smart Data Models initiative. Today, 8th of June, it is announced officially their commitment with the principles of the initiative and as a member of the steering committee of the initiative together with TMForum, IUDX and FIWARE Foundation to provide open and free data models for their use in the development of smart applications.
OASC organization accounts with more than 150 cities in Europe, North and south America, Japan and Australia. They will join those cities grouped by other of the partners of the initiative IUDX, public entity of the Indian government for the data interchange between Smart cities in India.
Thus OASC will conscientiously support the adoption and promotion of Smart Data Models and will promote to its membership Smart Data Models in the context of OASC MIMS. FIWARE agrees to promote OASC as the global community of practice for cities and by cities concerning the digital transformation of cities, towns, and rural areas, in particular in but not limited to those regions where OASC does not yet have a presence.
This allows to align common efforts to support the models available in the initiative and to dissemination them worldwide.
Now there is a new page statistics with the main statistics regarding the content of the site.
It can also be found from the More stats link in the widget on the upper right corner of the front page.
Those data models containing examples with a geoproperty, now there also include another file named: example-geojsonfeature.json with this format.
So not all the data models include this example, which is generated automatically (so there is not a need to be contributed).
See an example:
