Subscribe to the news on Smart Destination data models

In the subscribe page (Weekly lists to be informed about the news on the different domains of data models) there is now a new option for the domain of Smart Destinations (at the bottom of the page).
In this post also the direct access to this list.

Smart Destination

The general list of news about Smart Destination data models of the Smart data models initiative. Once a week (in case there is news for it) unless there would be relevant changes.
Privacy policy *

Open issues for all data models

There is a new widget on the front page titled “Open PR and issues” there you can browse all the Pull requests contributed by the community and the open issues across all the data models.

Updated every 5 minutes

This way you can be informed about evolution going on and to make sure that all contributions are considered.

Updates on data models

There are 4 new data models under review at incubated folder

DeviceOperation
FleetVehicleOperation
FleetVehicleStatus

They will have to be adapted to the guidelines and to the manual of single data code

Additionally, there are new contributions to water Network management

It also has been submitted a new data model for water observation. Soon to be assessed and shared.

 

 

Subscribe to the data models you are interested

If you are not a developer (But if you are you can also use it) we have created a page for being updated about the last news of your domain of interest

Check the 10 mail lists available, one per domain. Click in the image to access it.

It is also available in the main menu in the option Subscribe

Methodology for working groups to create new data models

Most of the data models come from different groups of people interested in the creation of standards in an agile way.

Here you can access a cheat sheet (Let’s call it methodology) on how to tackle these tasks.

summarized these are the steps. It takes for granted that the group is already available.

Step 0. Gather documentation

Step 1. Compile elements.

Step 2. Meet to reach a Generalization proposal

Step 3. Internal validation

Step 4. Create the technical documentation of a data model

Step 5. Submit your data model

Step 6. Review

Step 7. Disseminate