The context.jsonld for smart data models has been updated to meet json ld requirements. Now they are implementing geojson requirements.
It affects the terms of bbox and coordinates. It could impact those elements having a geoproperty (most of the data models).
The Subject of dataModel.Energy, inside the domain Smart Energy has released 1 new data model:
NEW VERSION!!
This post became obsolete, go for the new master sheet
This is a resource, especially for those who have limited knowledge of JSON schema.
If you want to create a basic version of a data model (not all JSON schema is implemented), you can use a copy of this spreadsheet as template. This spreadsheet is always available at https://bit.ly/schema_sheet short name.
You need to fill the blue cells for these parameters:
Once you’ve got the schema, grab some examples (It is always good to review the contribution manual) and you can make a Pull Request on any of the subjects of any domain in Github. Or just use this form.
NOTE 1: The first option will be attended quicker than the second.
NOTE 2: Do not write out of the blue cells (it will be ignored). And do not add or remove cells. The converter script looks for these precise locations in blue.
NOTE 3: Your spreadsheet has to be made public. (anyone with the link), otherwise, the script will not be able to retrieve your data.
Call:
Parameters: (Mandatories)
Output: A json schema based on the properties defined in the database. This is an alpha version so errors are not managed.
In case you are not an expert for creating a JSON schema (one of the elements of a data model)
On this page, you have a spreadsheet for helping with the first steps.
1.- Fill the spreadsheet with the names of the properties for your model
2.- fill the NGSI type (Property, Relationship or Geoproperty)
3.- In case of property, fill the data type (array and object types are currently not completely supported)
4.- Fill in the description
5.- Click the button, the page will reload
6.- voila! you have your json schema below the spreadsheet, just copy and paste into your favourite editor.
The python code for it is also made public in the utils directory in the data models repo.
The Subject of dataModel.Ports, inside the domain Smart Cities has released 1 new data model:
Method to design your repository of Boat Pricing*
To describe the different pricing by category (A to Z17) in the section *Information about pricing*, the use of a list is necessary when writing the record.
Depending on the port configuration, a record will be created by `spotCategoryRange` to determine the pricing for a period as the repository.
Two scenarios are possible
– Scenario 1. Definition of the length range on a single category . `spotCategoryRange` = [‘F’], Boats accepted: length 7.00 to 7.49 and max width =< 2.70. [‘F’] length 7.00 to 7.49 / max width =< 2.70
– Scenario 2. Definition of the length range with consecutive categories.
`spotCategoryRange` = [‘F’, ‘G’], Boats accepted: length 7.00 to 7.99 and max width =< 2.80.’F’ gives maxLength from 7.00 to 7.49 and maxWidth 2.70, ‘G’ gives maxLength from 7.50 to 7.99 and maxWidth 2.80
notesMiddle:
Additional Information about this Data Model*
It can be used with the following data Model.
– **SeaPort** to provide information to the port about authorized Boat in the port.
This Data Model is complementary to the Data Model **BoatPlacesAvailable**.
Data repository (ISO 8666 standard)**
*Categorie Length Max Width Max*
A 4.99 2.00
B 5.49 2.15
C 5.99 2.30
D 6.49 2.45
E 6.99 2.60
F 7.49 2.80
G 7.99 2.80
H 8.49 2.95
I 8.99 3.10
J 9.49 3.25
K 9.99 3.40
L 10.49 3.55
M 10.99 3.70
N 11.49 3.85
O 11.99 4.00
P 12.99 4.30
Q 13.99 4.60
R 15.99 4.90
S 17.99 5.20
T1 20.99 5.60
T2 23.99 6.00
U 28.99 7.00
V 33.99 8.00
W 38.99 9.00
X 43.99 10.00
Y 48.99 11.00
Z 53.99 12.00
Z01 58.99 13.00
Z02 64.99 14.00
Z03 71.99 15.00
Z04 78.99 16.00
Z05 85.99 17.00
Z06 92.99 18.00
Z07 99.99 19.00
Z08 106.99 20.00
Z09 113.99 21.00
Z10 120.99 22.00
Z11 127.99 23.00
Z12 134.99 24.00
Z13 142.99 25.00
Z14 150.99 26.00
Z15 158.99 27.00
Z16 166.99 28.00
Z17 174.99 29.00
The Subject of dataModel.Agrifood, inside the domain Smart Agrifood has released 1 new data model:
The new Subject of dataModel.TourismDestinations, inside the SmartDestination domain has released 1 new data model:
The privacy of the data contained in a property has been under discussion for the documentation of any property.
Now there is a first version on how to implement it.
The contribution manual has been updated for this possibility. See the specific slide about it.
Privacy clause: Privacy:’[high/medium/low]
Describes if the property has any kind of information related with personal data. Current options:
Example:
“refUserDevice” :{
“description”: “Property. Model:’http://schema.org/Text’. Privacy:’low’. An object representing the current device used by the User.”.
It has been updated the format of the list of adopters of the data models (formerly were CURRENT-ADOPTERS.md markdown files), now in it is rename into ADOPTERS.yaml based on this yaml template which allows an automatic processing. (Further announcements could be included in a future).
Further instructions in the page Data Models Adopters how to located in the menu option Data models -> Data Models Adopters How to
New Subject, dataModel.TourismDestinations for allocating data models related to touristic destinations.
It is located in the Smart Destinations domain repository.
Event is based on the examples provided for the semantic standard UNE 178503 and schema.org.
TouristDestination is also based on this standard and UNE178503.
Schema and examples already available, specification and other documents will be available as soon as the general scripts run on this repo.
Slack channel
Discord channel #smart-data-models
help on discord
Invitation to discord 
Validate a payload with a data model(external)
