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Drafting service for checking properties of a new data model

Posted on 08/10/202008/10/2020 by maestro

We are in the way of creating a service for those contributors willing to contribute with a complete data model.

The service is under debugging, so it cannot be trusted for production purposes. Let us know issues here

In order to access it has to access this URL (https://smartdatamodels.org/extra/check_properties.php) with this parameter ?urlSchema=[url of the raw access o the JSON schema]

I.e. a complete link could be

https://smartdatamodels.org/extra/check_properties.php?urlSchema=https://raw.githubusercontent.com/smart-data-models/dataModel.Agrifood/60755d5e970f18938a59dcb190a91ac5622c6c11/AgriParcel/schema.json

It returns a JSON payload indicating if this property is available for use (not used in any other data model) or in the case it is already being used what data models are currently using.

Open issues for all data models

Posted on 21/05/202028/05/2020 by maestro

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.

Contribution Manual

Posted on 15/05/202025/05/2020 by maestro

Published the contribution manual for the repository.

Subscribe to the data models you are interested

Posted on 11/05/2020 by maestro

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

Posted on 08/05/202008/05/2020 by maestro

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

Updating the learning zone

Posted on 03/05/2020 by maestro

New elements for the testing tools of google for json linked data and a new presentation about how to make links between entities.

Check the learning zone.

Keep being update about Smart Data Models

Posted on 30/04/202025/05/2020 by maestro

If changes in the Smart data models matters to you, there is a new resource for keeping updated, the general mail list.

It is in test form, you can subscribe here


  
        
    
      
      
      
      
      

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The initial idea is to send a mail once a week (with some exception for urgent issues).

The form is also available in the right column of the frontend.

Documentation of a data model

Posted on 28/04/202028/04/2020 by maestro

There is a new page on how to document a data model.

how to document a data model.
It is provisional documentation to be discussed and applied to every data model.

It can be reach as an option under the main menu data models.

Restructuring of templates folder

Posted on 24/04/202024/04/2020 by maestro

Templates folder complies templates for the definition of the different documentation attached to a data model.

Now there is a folder for the documentation to include into the Subject folder and into the data model folder.

List of required properties

Posted on 23/04/202023/04/2020 by maestro

The list of required properties for all the data models is available as a json file in the AllSubjects directory on the umbrella repository.

Under the name official_list_required_properties