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I fully agree that a data model will be required if we are to make this actually happen. But today we have not got in contact with anybody doing actually so we could mimic to create an actual open-licensed data model. we would be glad to browse any example. Anyhow visit https://smartdatamodels.org because in case it is identified we will publish a post about it.

Geospatial data use to be codified through geoproperties that allow the geoquering on your data.
More than 90% of all smart data models include an attribute location which is a geoproperty. There are no specific requirements but to use geoproperties, which is part of the standard NGSI-LD

AWS has recently joined as a platinum member of the FIWARE Foundation so we can expect you to have full support soon.

Besides this, Could you elaborate a bit more on this question?
You can use the smart building data model to some extent or request an extension if your attributes are general enough and convenient for other uses cases. Feel free to ask at smartdatamodels.org

You do not need to be a member of FIWARE community to contribute with data models. AWS is adopting the data models as you can see in this article

There are a couple of components you would like to browse, kurento and open vidu.

Besides you have this FIWARE Stream Oriented Generic Enabler documentation.

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Thank you for your question that it is a very relevant one.

Address is something which is extensively used across most of the data models (most of them are using it). In fact, we have in the common schema at the very root of the initiative a section "Location-Commons" in which we used the postal addressproperties coming from schema.org under the object address.

About the geographical location, this is also available for all the data models in the common schema in the same section, "Location-Commons", in the "location" property, which is a geojson point. As geojson point it allows being a GeoJSON Point, GeoJSON LineString, GeoJSON Polygon, GeoJSON MultiPoint, GeoJSON MultiLineString or GeoJSON MultiPolygon. Therefore you will see in most of the data models a preceding line to properties section like this one.

"$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/Location-Commons"

In which all these properties (location and address) are included in the data model.

Are your needs covered with this approach or do you need anything else? Please let us know here or in our mail alberto . abella @fiware.org

Although the data models](https://github.com/smart-data-models) are free to be used with any 'meaning', the original idea of device model (https://github.com/smart-data-models/...) is to keep static properties of a device while the device (https://github.com/smart-data-models/...) data model to keep those properties more dynamic (i.e. ip address,etc)

1.- Model management tool. We do not have a proper UI, not needed for the moment but open to having one.

2.- Model versions. Through the parameter Schema version (to be included in all data models) and this documentation. https://github.com/smart-data-models/...

3.- There are two types of validation

3.1.- That the examples meet the schema: For doing that there are several tools here http://data-models.fiware.org/index.p... for manual checking we use https://www.jsonschemavalidator.net/ but some other tools are good as well.

3.2.- That the documents meet the guidelines (https://github.com/smart-data-models/...) and the contribution manual (http://data-models.fiware.org/index.p...) this is in the process to be automated again (it was but due to the change of structure we have not yet fixed the processes)

I guess what you mean is to have several devices together in the same element. What you do, I hardly think it actually works But there is a workaround that it is likely to work for you. Notice that the 'device model' data model , the controlledProperty is an array, same as the supportedUnits and you can link to the string of measures in the 'device' data model.