A new data model, OriginDestinationFlow in the subject datamodel.Transportation
Thanks to the company ubiwhere.com for the contribution.
A new data model, TourismPresenceObserved in the subject dataModel.TourismDestinations
Thanks to the company ubiwhere.com for the contribution.
A new data model, TourismDwellTimeObserved in the subject dataModel.TourismDestinations
Thanks to the company ubiwhere.com for the contribution.
A new data model, ElectricVehicleMobility in the subject datamodel.Transportation
Thanks to the company ubiwhere.com for the contribution.
Due to the change in the Virtual Private Server in which the site is running some of the backend services in the tools menu are suffering issues.
Please report them to alberto.abella@fiware.org
Two new data models have been published in the subject dataModel.AAS (Asset administration shell) in the Smart manufacturing domain.
The data model was created thanks to the contributor Inga Miadowicz
I4SubmodelElementRelationship. Based on IDTA-01001-3-0, describes a generic RAMI4.0 SubmodelElement representing an Relationship of a referenced Asset Administration Shell
A new data model, MaterialAddition in the subject dataModel.IndustrialProcess
Thanks to the project ALCHIMIA and to the entities BFI (VDEh-Betriebsforschungsinstitut) and Scuola Superiore Sant’Anna the contributors,
There are two new data models, ProcessChemicalAnalysis and ProcessEvent in the subject dataModel.IndustrialProcess
Thanks to the project ALCHIMIA and to the entities BFI (VDEh-Betriebsforschungsinstitut) and Scuola Superiore Sant’Anna the contributors,
ProcessChemicalAnalysis. Schema for chemical analyses from industrial processes
ProcessEvent. Schema for generic events in industrial processes
soon there will be more models
The contributors of new data models can test their data models in their local repositories with the source code of the testing tool than also can use online
Home -> tools -> test your data model
it has been updated to deal with those attributes coming from languageMap properties in NGSI
We are thrilled to announce a significant new release of our Python package, pysmartdatamodels, designed to empower developers and streamline the contribution process for our community.
This update is packed with new data models and, most notably, powerful new validation and testing services.
The heart of the Smart Data Models initiative is our comprehensive library of open-licensed data models. With this new release, we have expanded it further, adding new models across our thirteen domains, from Smart Cities to Smart Energy. This package continues to provide powerful functions to integrate more than 1,000 standardized data models into your projects, digital twins, and data spaces.
To improve the quality and speed of contributions, we are excited to launch a brand new service for our contributors. You can now automatically test your data models before submitting them. This automated validation ensures that new models comply with our standards, making the review and integration process smoother for everyone.
For those who want to integrate this validation into their own workflows, the source code for the testing tool is also available.
In addition to the new contributor tool, you can also use the online service to validate payloads against existing data model examples.
You can find all the details, explore the functions, and get the latest package from the Python Package Index (PyPI). The updated README file includes comprehensive documentation on all the new features.
We are committed to making data interoperability easier for everyone. These updates are a direct result of community feedback and the hard work of our contributors. A huge thank you to everyone who has helped make this possible!
