New subject RoboticIndustrialActivities an new data models Piece, Pallet, RoboticArm, RoboticCell and VacuumPump

There is a new subject, dataModel.RoboticIndustrialActivities, in the Smart Robotics domain for compiling data models related to industrial activities with robots. it currently compiles these data models.

Thanks to the contributors of the DIH2 project.

Update the specs

Many of the contributors of the data models are providing changes into the spec.md and its translations.

Fortunately, this is not necessary. You just need to provide the changes in the descriptions included in the schema.json file of each data model.

Now in order to save time for the contributors, a warning message has been included in the specs.

The link takes you to the contribution manual section where the specification is described.

 

Open Session about Smart Data Models. Monday 14:00

Every week till there will be a 30 min live session to :

  • Make questions about any of the data models
  • Sharing experiences (maximum 5 minutes)

The agenda for the first 5-minutes slots is this. The 3

  • Introduction of the Smart Data Models
    Updates of the week (new services and new/updated data models). Survey.
    Regulations / standards to be mapped to smart data models

Direct link http://bit.ly/open_session to the session minutes. You can book your 5 minutes slot there

First call here.

Open Session. Smart Data Models
Monday, May 17 · 14:00 – 14:30
Google Meet joining info
Video call link: https://meet.google.com/mds-qdbx-amx
Or dial: ‪(ES) +34 872 55 91 43‬ PIN: ‪709 176 120‬#
More phone numbers: https://tel.meet/mds-qdbx-amx?pin=3039847950766

German translation available / Deutsche Übersetzung verfügbar

Now there is a specification translated into German available for all data models in the initiative. so it becomes official like French one and Spanish.

The translation is made automatically but it seems to be good enough.

Enjoy

NGSI-LD key values service in the README of every

In the README of every data model now there is a new line in the Dynamic examples section, under the text

“Link to the Generator of NGSI-LD keyvalues payloads compliant with this data model. Refresh for new values”

The link provides an example of a NGSI keyvalues payload with values compliant with the data types of this smart data model but generated randomly (so it does not look like static examples which actually are coming from real examples)

New service: Generate a NGSI-LD payload keyvalues format compliant with a Smart Data Model

There is a new service for users, which is the ability to generate an example payload compliant with a specific data model in key values format. Previously it was available the normalized format.

Options are located in the main menu (Generate NGSI examples)

Update of the contribution manual. Process image

We have drafted the publication process for new data models and for updates.

It’s the first page of the contribution manual and every box (not in this image) has links to the tools/resources to be used.

Hopefully, it will be more straightforward to be understood.

Comments welcomed

New widget for searching data models

In the right column of the front page, there is a new feature for look for data models

Initial

once type ‘light’ it looks like in the right

Filtered

Every entry is an hyperlink

 

Shortcut to go or search your data model

The list of data models has been completely changed.

Step 1: write part of the name of data model or repository

Step 2: The table filter the options

Step 3: Click on the name and it takes you directly to the github location you need.

Don’t to these section in the contribution manual

In order to reduce the work for the contributors of the new data models, there is a new section on the contribution manual title ‘don’t do these’ with recommendations for the most common poor practices in the contribution process.

Although all contributions are welcomed it will save everybody’s time by reading this section once.

Additionally, the section can be improved so you can submit your recommendations/lessons learned here.