1.- What is Smart Data Models Program.
Smart Data Models program is a collaborative program to provide multisector agile standardized free and open-licensed data models based on actual use cases and open standards
3.- Can I use these data models for free?
Absolutely. They are open-licensed allowing you free use, modification, and sharing.
4-. Where do these data models come from?
They are based on real case scenarios or mapping of adopted and open standards
5.- Do I have to use the FIWARE platform or the NGSI standard to use them.
Not at all. They are compatible with it but we also export in several other formats (CSV, DTDL, etc)
6.- I want to contribute with a new data model. What should I do?
Contribution is done by making a PR on the repositories. It would be good you have a look at the contribution manual (https://bit.ly/contribution_manual). You only need to create a JSON schema and provide some examples of use. If you are not familiar with JSON schema this tool and these videos will help you.
7.- I guess that I need some support for creating the data model. How could I find it?
You can apply for the incubated repository where most of the data models are drafted before being approved. Just click on the green button on the front page or this link. See what is in progress on this list. You can always contact us or drop us an email.
8.- How could I find a data model?
The search tool allows you to search every property, data model, description, etc.
9.- My organization is willing to be part of the Steering Board. What do I need to do?.
A MoU is required and it is possible to collaborate globally or for some of the domains (environmental, robotics, etc). Let’s start with a mail at email@example.com
10.- How to deal with units of the attributes
NGSIv2 include units in the metadata associated with any attribute stored, while NGSI-LD has a built-in subproperty named UnitCode where the units should be included. For some of the attributes, there are recommendations about the units to be used. The global list of unitcode codes can be found here, version Recommendation N°. 20 – Revision 17 (Annexes I to III) original source