Learning zone

Smart Data Models > Learning zone

INTRODUCTION TO THE INITIATIVE

  1. Frontend and github interface presentation
  2. These are our recommendations to encode a data model  https://github.com/smart-data-models/data-models/blob/master/guidelines.md
  3. Understanding linking elements in data models.
  4. Our main page on github
    https://github.com/smart-data-models
  5. Dictionary of enumerations and attributes https://docs.google.com/spreadsheets/d/1vp9rU63R2YXleEg6w2tn1tWx5sb4heY0APK-tHV9e5M/edit#gid=1357587034

TOOLS

    1. It generates a json schema from your data in json (that way) https://www.liquid-technologies.com/online-json-to-schema-converter
    2. Validate that a json meets a certain json schema https://www.jsonschemavalidator.net/
    3. Validate the encoding of a data model (json schema) https://www.jsonschemavalidator.net/
    4. The google tool to check your json linked data. https://search.google.com/structured-data/testing-tool
    5. Many other tools here https://json-schema.org/implementations.html

UNDERSTANDING HOW WE CODE DATA MODELS

  1. To understand what a json schema is (which is what we use to encode data models in this initative)
    https://json-schema.org/understanding-json-schema/
  2. The mother of data models, especially because it is made by google, bing, etc.
    http://Schema.org
  3.  This is how the basic data types are specified
    https://cswr.github.io/JsonSchema/spec/basic_types/

COLLABORATE ON DE CODING OF DATA MODEL

  1. Very Introductory video of what is git and github
  2.  How to collaborate with your code. How to make a Pull request.
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