There is a new data model coming from the collaboration with IUDX, MosquitoDensity, to assess the density of this insect in the cities, located in the subject Environment.
- A Data Model for density of mosquitoes in cities.
Category: Smart Environment domain
Updating all specifications to make it easier to be updated
Initially, you will see few changes in the specifications of all data models,(it is in progress because it will last around 2 days to get it completed)
– The inclusion of the model for those attributes having it.
– Including the data type (when there is only one) for the attributes. ”
address[object]: The mailing address. Model: https://schema.org/address“
– A footer with some useful links, etc
Smart Data Models +++ Contribution Manual +++ About
but there is another hidden relevant change. The specifications are now divided into sections by these tags:
<!– section name –>
<!– /section name –>
It makes easier to update part of the specification without disrupting the rest of the content, and in most markdown viewers it is unnoticed. Besides this, it also allows the extension of the specification (if needed in a coming future) with new sections.
And, of course, everything can be done automatically. Thus we can keep being agile according to our principles.
Therefore, if you see that the specifications are presenting an update don’t worry, Initially, it is just the format and this new trick.
And welcome to the Chinese translation which is using this new format already.
Chinese translation available
Now the list of specifications has a new language, Chinese. they are called spec_ZH.md
See the example with the WaterConsumption data model.
Year of contribution at the CONTRIBUTORS.yaml
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.
Contributors: Updated the service for checking your schema
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.
Presentations of the Smart Data Models session at FIWARE summit
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 |
Training on Smart 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.
- Intro:
- Board and what is Smart Data Models Program
- Current Status
- Contributos and dissemintions
- Agile standardization
- Current standardization status
- M.A.S.: Manifesto for agile standardizationç
- Standardization in a digital market
- Data model contents
- Contents of a data model
- Schema: review
- Additional documents: examples, contributors, adopters, notes*
- Generated documents: model.yaml, examples, README, context
- Data Model creation
- Incubated repository.
- From csv, json or open data portals
- Tests
- Data Model moderation
- Data model moderation
- Future
- pysmartdatamodels
- New services. Integration
- New data models. Mapping of standardizations
- Other services for the contributors
MAS: Manifesto for Agile Standardization
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.
Announcements widget. Just thanks
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
3 new data models for environment (and mobility)
There are 3 new data models coming from the collaboration with the GreenMov project.
They are located at the Environment subject.
- NoisePollutionForecast. Noise Pollution forecast stores the expectation about noise pollution based on some input elements and the noise elements present.
-
TrafficEnvironmentImpact. Environmental Impact of traffic based on the vehicles traffic and their emission characteristics
-
TrafficEnvironmentImpactForecast. Environmental Impact of traffic based on the vehicles’ traffic expectations and their emission characteristics
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