Joining the Metaverse Standards Forum

FIWARE Foundation has joined the “Metaverse Standards Forum” The Metaverse Standards Forum is a non-profit, member-funded consortium of standards-related organizations, companies, and institutions that are cooperating to foster interoperability for an open and inclusive metaverse.

The Smart Data Models initiative is willing to contribute to those standards with all its data models to enable its use in the metaverse.


New subject dataModel.ERA and 34 new data models Certificate, ContactLineSystem, ETCSLevel, Feature, FrenchTrainDetectionSystemLimitation, InfrastructureManager, InfrastructureObject, LineReference, LoadCapability, Manufacturer, MaximumMagneticField, MaximumSpeedAndCantDeficiency, MinAxleLoadVehicleCategory, NationalRailwayLine, NetElement, NetRelation, OperationalPoint, PhaseInfo, Platform, RaisedPantographsDistanceAndSpeed, SectionOfLine, Siding, Signal, SpecialArea, SpecialTunnelArea, SubsetWithCommonCharacteristics, SystemSeparationInfo, TopologicalObject, Track, TrainDetectionSystem, Tunnel, Vehicle, VehicleKeeper, VehicleType

The European Union Agency for Railways has published an ontology for Railways and it has been mapped into Smart Data Models. Unfortunately there are not official examples so we have to generate automatically.
There are 33 data models listed.

  • Certificate. (Missing description in the source)

  • ContactLineSystem. System that is used to transmit electrical energy to road or rail vehicles.

  • ETCSLevel. ERTMS / ETCS application level related to the track side equipment.

  • Feature. Class that encompasses the features that are part of the physical infrastructure (class InfrastructureObject) and the topological objects (class TopologicalObject). It is a subclass of the geographical Feature class that has a spatial representation.

  • FrenchTrainDetectionSystemLimitation. Specific for route compatibility check on French network. Sections with: -1 Tonnage circulated per track is inferior to 15000 tons/day/track -2 Directional Interlocking -3 45-second delay for directional interlocking -4 Installation with track circuit announcement -5 Absence of a shunting assistance pedal in the normal direction of circulation for non-reversible double track lines -6 Absence of a shunting assistance pedal regardless of the direction of traffic for single track lines and tracks for two way working -7 Absence of a pedal announcement mechanism -8 45-second delay for specific announcement reset devices

  • InfrastructureManager. The infrastructure manager owns and operates the railway network and related infrastructure.

  • InfrastructureObject. This class encompasses all those classes that represent features that are implemented in the European railway infrastructure. It is a subclass of the ERA Feature that has a spatial representation. It covers tracks, platforms, signals, tunnels, operational points, and sections of line. A feature that belongs to the infrastructure can be abstracted (hasAbstraction) as a topological object. It also is related to the infrastructure manager through the property infrastructureMgr.

  • LineReference. Railway location

  • LoadCapability. This class together with properties loadCapabilityLineCategory and loadCapabilitySpeed replaces the previous loadCapability SKOS property.

  • Manufacturer. A company or organization that manufactures vehicles.

  • MaximumMagneticField. The maximum magnetic field limits allowed for axle counters (in dBµA/m) for a defined frequency band. It should be provided in 3 directions.

  • MaximumSpeedAndCantDeficiency. Combination of maximum speed and maximum cant deficiency for which the vehicle was assessed.

  • MinAxleLoadVehicleCategory. Deprecated according to the ammendment to the Regulation (EU) 2019/777. Represents information that indicates the load given in tons depending of the category of vehicle. Its properties are minAxleLoadVehicleCategory and minAxleLoad.

  • NationalRailwayLine. Railway line within a member state.

  • NetElement. Base class for defining nodes in the connectivity graph representing the topological network.

  • NetRelation. Base class for defining edges in the connectivity graph representing the topological network.

  • OperationalPoint. An operational point (OP) means any location for train service operations, where train services may begin and end or change route, and where passenger or freight services may be provided; operational point also means any location at boundaries between Member States or infrastructure managers. In 2.1.2 Principal locations (stations, yards, junctions, freight terminals).

  • PhaseInfo. Indication of required several information on phase separation.

  • Platform. Platform for the purpose of RINF is understood as a platform edge. A platform concerns only the part of the structure neighbouring to the track (interfaced with trains).

  • RaisedPantographsDistanceAndSpeed. Indication of maximum number of raised pantographs per train allowed and minimum spacing centre line to centre line of adjacent pantograph heads, expressed in metres, at the given speed. Each track can have several raised pantographs per train allowed (structured) values, and each one has values for number of pantographs, minimum distance between pantographs, in metres, and speed considered in km/h.

  • SectionOfLine. A section of line means the part of line between adjacent operational points and may consist of several tracks. In 2.1.1 Line sections.

  • Siding. Sidings are all those tracks where running trains in service movements ends and which are not used for operational routing of a train.

  • Signal. A railway signal is an installation next to the railway track for signalling the maximum allowed speed in the next block section to the train driver. Definition RSM: Apparatus by means of which a conventional visual or acoustic indication is given, generally concerning the movements of railway vehicles.

  • SpecialArea. Encompasses all those areas or sections such as safe areas, restricted areas (non-stopping areas or industrial risk locations).

  • SpecialTunnelArea. Area or location within a tunnel where there is a walkway, evacuation and rescue points.

  • SubsetWithCommonCharacteristics. Subset of items shared by sections of lines and/or operational points of a member state. For the purposes of the register of infrastructure, each infrastructure manager shall describe its railway network at least by sections of line and operational points and optionally via common characteristic subsets.

  • SystemSeparationInfo. Indication of required several information on system separation.

  • TopologicalObject. Top level class for the the track network described as a topological node edge model

  • Track. A running track that is used for train service movements.

  • TrainDetectionSystem. System used to detect the position of vehicles in the railway track.

  • Tunnel. A railway tunnel is an excavation or a construction around the track provided to allow the railway to pass for example higher land, buildings or water.

  • Vehicle. A specific vehicle or wagon able to operate over railway lines.

  • VehicleKeeper. A company or organization that owns or operates a certain vehicle.

  • VehicleType. A vehicle type that has been authorized to operate on the EU railway infrastructure.



New pysmartdatamodels package 0.6.3 Release

We are thrilled to announce the latest update to pysmartdatamodels Python package, version 0.6.3, featuring a new function: generate_sql_schema()This addition enabling seamless generation of SQL schemas with just a few lines of code!

Introducing  generate_sql_schemqa() Function:

With the new function, generate_sql_schemqa()  pysmartdatamodels simplifies the process of creating SQL schemas for your data models by providing as input the model.yaml representation of a Smart Data Model.

Korean translation available for all data models

The Korean translation of the specifications has been incorporated. Therefore every specification folder now it has a new file with the Korean translation.

See an example:

Also the specification is linked from the file at the front of every data model.

New service: Export you data models to SQL schema

We provide a service to Generate a PostgreSQL schema SQL script from the model.yaml representation of a Smart Data Model.

You can access this service under this link following Tools > SQL service.

You need to provide as input the standard GitHub link to the model.yaml file or the raw version GitHub link.

Update: Generate the schema out of your payload

We provide a service to generate JSON schemas from the example payloads you provide. This service is designed to assist contributors who may have limited experience with JSON schemas but with actual examples. You can access the service through this link.

We are pleased to announce that we have made some updates to this service::

  • Added support for generating sub-property descriptions
  • Fixed the bug of duplicated property generation

Please feel free to try it out and leave your comments on

New Sections in README

We have introduced several new sections in the for all the smart data models that we’ve published

These are:

  • Links to CSV extensions of example payloads
  • Links to SQL schema
  • Services we designed to help self-contribution

Such as in the data model WeatherForecast:

Hope you find it useful and feel free to make your comments on

DCAT-AP catalogue service in beta version

DCAT-AP is, possibly, the most relevant standard of a catalogue of datasets (even resources as well). A data spaces’ data models’ building block needs a semantic catalogue of resources in DCAT-AP format.

Here you have the beta version of a service providing a DCAT-AP catalogue containing all semantic resources of Smart Data Models.

You just connect to this URL and you can get it. It will be updated once a day and whenever a data model is published.

You can also reach it at home -> tools -> DCAT-AP catalog (last option)

As long as the catalogue and its structure can be enriched I’d like to hear from you any comments / additions and critics you wish / need at

So you can enrich it before the official release

New Version of the Python Package pysmartdatamodels 0.6.1

There is a new version of the python package for pysmartdatamodels 0.6.1.

This python package includes all the data models and several functions to use them in your developments.


– Two updated functions

  • New extension for function update_broker() to allow updating nonexistent attribute into broker
  • Function validate_data_model_schema(), with wider range of validation

– Minor changes on providing links of repository, issues, updating on latest statistics, etc.

Get more details on the pypi page and feel free to try it out!

Vote for the new SQL service (Just two questions)

We are very close to launch a new service and we want to have your feedback on how to create this service.

So we made a Survey and you can help us by submitting your preference.

    This is a survey about the type of service that we want to create for the users of the Smart Data Models that generates a PostgreSQL schema SQL script.

    2. We would like to propose the following ways to interact with the service, choose one of these approaches :

    If you want us to discuss the suggestion fill your email here otherwise please leave it empty

    By using this form you agree with the storage and handling of your data by this website.

    Thank you!