There is 1 new data model coming from the collaboration with the GreenMov project. This is a mapping of the OSLO ontology for Personal transport hubs
They are located at the OSLO subject.
- Resource Report. Resource Report Schema meeting Passenger Transport Hubs AP Schema specification. A summary of resources connected to mobility services based on defined filters by the person requesting the report.
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.
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.
- 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
- Data Model moderation
- New services. Integration
- New data models. Mapping of standardizations
- Other services for the contributors
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.
There is a new subject, dataModel.OSLO, for the mapping of the OSLO ontology for mobility.
A new data model BicycleParkingStation is also available there.
- BicycleParkingStation. Bicycle Parking Station Schema meeting Passenger Transport Hubs AP Schema specification
This is also an outcome of the collaboration with the GreenMov project.
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.
– base url of the ODS portal
– dataset_id of the dataset
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 data model for the electrical charging stations (EVChargingStation) has a major extension with the contributions of IUDX. this is located at the Transportation subject.
It includes attributes for the identification of the vehicle type, others related to the payment and the transaction, and others related to the identification of the station.
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.
- Merging several contexts and detecting conflicts. (for merging several context from different subjects)
- Mapping a context with external ontologies. (mapping a local context from SDM to any external ontology). These are the ones available but more could be easily created on demand.
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.