New Agent and Dataset data models in DCAT-AP subject

DCAT-AP is the standard for publication of information in open data portals in the EU and other countries. Based on the 2.o.1 version these data models are mapping these two classes agent into AgentDCAT-AP and Dataset.

In the subject datamodel.DCAT-AP there are two data models, AgentDCAT-AP. and Dataset for describing these classes,

  • AgentDCAT-AP. Agent Schema meeting DCAT-AP 2.0 specification
  • Dataset. Dataset Schema meeting DCAT-AP 2.0 specification

The rest of clasess (distribution, etc) are in progress in the incubated repository

New data Model TechnicalCabinetDevice in Energy domain

In the subject dataModel.Energy there is a new data model, TechnicalCabinetDevice for describing a technical cabinet for storing different elements in an Energy system (or for another type of system as well)

  • TechnicalCabinetDevice. Technical Cabinet Device Data Model is intended to describe the technical characteristics of the device, designed to be placed in an urban or interurban environment. The main objective of these cabinets for this Data Model is to protect the electrical equipment necessary for the control, surveillance, reading, and management of urban lighting, signaling, video, and electrical distribution. The scope of use of some of these cabinets can extend to additional protection for installations of modular apparatuses of telephony, data processing, meteorological stations, photo-voltaic stations, wind turbines stations, telecommunications, networks, data, Optics, etc. Remark: This Data Model can be used directly as a main entity to describe the device Technical Cabinet or as a sub-entity of the Data Model DEVICE using a reference by the refDevice attribute. It can also refer to the list of all the components it contains, with the refDeviceList attribute, using the Data Model DEVICE

New data model ItemFlowObserved

In the subject dataModel.Transportation there is a new data model, ItemFlowObserved for counting items in lanes or other places that need to be counted.

  • ItemFlowObserved. The data model intended to measure an observation linked to the movement of an item at a certain location and over a given period. This Data Model proposes an evolution of two Data Model by merging them and integrating all the attributes of the initial version of [TrafficFlowObserved] and [CrowFlowObserved] and by extension any type of item that we want to analyze the movements. Attributes vehicleType and vehicleSubType are removed from the initial data Model in order to become generic itemType and itemSubType of possible values. (people, Type of vehicle, Type of boat, Type of plane, …).

What is the green button for?

You can notice a new button on our front page. What is this green button for?

Start data model/s

It is the starting point for contributing with a data model to the initiative. It takes you to a form. Let us explain how:

  • We ask you about the goal, it allows others to know what are the data models meant for
  • Name of the directory (the name that will be assigned in the incubated repository)
  • Your GitHub user (we do not disclose it) for granting you the permissions
  • The organization/s you belong to if this would be relevant for others
  • The project you are working for if this would be relevant for others
  • A contact email we disclose (otherwise how are they going to contact you for collaboration?)
  • The industrial domain, to make it simpler to look for similar initiatives
  • You can suggest the names of the data models willing to create
  • Any additional comment you wish

After filling the form we assess if these data models are actually new, and then we grant you the permissions on the incubated repository and you will appear listed in the list of data models in progress.

Open Session 28-6-21

Presentation of the 28-6-21 in the open session. Next session on the 5th of July 14:00h CEST.

OPEN-SESSION-SMART-DATA-MODELS(2)

You can join the event directly here http://bit.ly/smartdatamodels

If you want to have it on your agenda click here.

If you want to present something these are the slides with several free slots to be filled by the people attending.

 

Release of software for Smart Data Models initiative

According to the last open session, the script for the creation of the model.yaml file (see this example) file which is present in every data model has been released.
It is a python 3.6 script you can access in the utils directory of the initiative.
source code available.

CityWork Data model in Transportation subject

In the subject dataModel.Transportation there is a new data model, CityWork capable of storing the values and the impacted infrastructures of the city due to due civil engineering works in the transportations system of a Smart City (or other places),

  • CityWork. The Data Model is a contextual description of urban works carried out on a road axis and which can impact individuals (Cars, motorcycles, bicycles, .…) or common transport (Tram, Bus, subway). It contains a geographic representation making it possible to locate its work from a specific JSON Object and at a more global level (Road segment, Road, District, …) in order to assess the potential impacts on the circulation. A GeoJSON object may represent a region of space (a Geometry), a spatially-bounded entity (a Feature), or a list of features (a Feature Collection). refer to the document geojson for more information about the modeling and the possible value.

Thanks to the Contributors.

Collaboration with existing data models in progress.

If you are willing to collaborate with some of the data models currently in progress you can now access a list of projects in the new option in the main menu.

If you are willing to launch your own project for the creation or update of data models you can fill this form, to ask for permissions in incubated repository. Once received permissions will be granted. Also in the main menu.