Thanks to the IN2 company we have two new data models to assess consumption (of energy but also valid for other resources)
Reach them at the new subject Consumption
ConsumptionCost. Information on energy consumed and its cost by consumption point
ConsumptionPoint. Information on a given consumption point
All the CONTRIBUTORS.yaml files across all subjects have been extended with a new attribute year. This year means the year of the contribution.
It will help us to give recognition to the contributors.
By default, it has been set to 2022 (it was much work to find out when the last contribution was submitted for each one of the several contributors across the 60 subjects).
It has been also changed in the template of the CONTRIBUTORS file in the templates folder.
In order to create a new data model or to update an existing one, Check your schema before contributing it, to check the schema on the front page.
The service has been updated to check not only the attributes of the payload but also the schema metadata (schema version, license, derivedFrom, title, description) so it will be easier to complete it before submission.
The code is available at the directory utils in the data-model repository.
Here you can have the presentation of the people presenting at the Smart Data Models session of the FIWARE summit.
| 1.- | Fernando Lopez (FIWARE Foundation) | SDMX towards context information: achieving interoperability |
| 2.- | David Garcia (NTT Data) | Public resources monitoring and management through innovative solutions based on extension of smart data models |
| 3.- | Mannix manglani (Mannixonline) | TOURISM DATA MODELS |
| 4.- | Alberto Abella (FIWARE Foundation) | Water data models |
| 5.- | Antonino Sirchia (Engineering) | How FIWARE and Smart Data Models can make a City resilient on Flooding Risks |
| 6.- | Romain Magnani (EGM) | The NGSI-LD data lab: an engaging interface for building NGSI-LD data configuration |
| 7.- | Clara Pezuela (ATOS) | GreenMov: Green and smart mobility services |
| 8.- | Andrea Cruciani.(FIWARE SmartAgriFood MSC ) | Agrigateway |
| 9.- | Hugo Miguel Serra (Deloitte) | Smart Buildings data models |
Tomorrow at day 0 of the FIWARE summit there will be a training session about Smart Data Models.
Slides are freely shared here
This training will be delivered face to face.
The Manifesto for Agile Standardization (MAS) describes the 7 principles that we apply to the Smart Data Models program.
0. Don't just standardize, be agile and standardize 1. Do not reinvent the wheel 2. Normalize real cases 3. Be open 4. Don't be overly specific 5. Flat not Deep 6. Sustainability is key
If you want to read the agile standardization manifesto’s complete explanation a one-page document is located at the root of our data models repository.
Not all changes in the data models are reported with a blog post, Twitter dissemination o LinkedIn post. But if you notice there is a widget in the right part of the front page (scroll down till Announcements) where these tiny changes are reported (see the image or browse the front page).
Most of them are issues, suggestions or PR solved thanks to the collaboration of the community. They make the data models better for all.
We cannot say thanks individually to all of them but please feel our gratitude.
You can download all of the tiny annoncements from this simple text file.
Just thanks
Many of the datasets published in open data portals are extensively used elsewhere. Well-maintained portals have managers that document the data structure and provide definitions of the types and contents of every field in these datasets. These are some of the requirements for the successful publication of a new Smart Data Model.
With this simple python script (and others to come) at the utils folder it can be drafted a JSON schema compliant with the Smart Data Models Program contribution manual. It is an early version (not everything is updated) but you can check it out.
 Parameters:
– base url of the ODS portal
– dataset_id of the dataset
Returns:
A draft json schema compliant with Smart Data Models Program,
some limitations: it does not translate descriptions (required in English)
some data types
It prints the schema and also returns (if possible a file named schema.json)
test it with this command
SDM_OpenDataSoft_schema_converter.py https://data.ameli.fr/ effectifs
The Smart Data Models Program does not define canonically and uniquely the terms used in the data models. There are many ontologies and vocabularies providing solutions to this issue.
For those users of linked data solutions, every subject includes a context.jsonld file (see example) with long IRI for the terms used in the data models. Besides this, the IRI provided are in fact URL to pages with additional information about the term (see example).
not only this but also two services are available on the tools menu on the front page.
But when mapping an existing open and adopted standard now it is possible to customize the context generated by using a new file notes_context.jsonld (see this empty example) at the root of the subject. It will replace the automatic IRI for a term with the customized one.
If have approached the Smart Data Models Program (SDM) for the first time and you want to become a contributor there are some technical concepts that you need to know about the elements compiled at SDM.
Once checked this presentation maybe you want to review the contribution manual
Slack channel
Discord channel #smart-data-models
help on discord
Invitation to discord 
Validate a payload with a data model(external)
