https://github.com/darenasc/open-data-demo

https://github.com/darenasc/open-data-demo

Last synced: 23 days ago
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• Host: GitHub
• URL: https://github.com/darenasc/open-data-demo
• Owner: darenasc
• License: mit
• Created: 2024-03-05T14:18:51.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-03-07T11:37:47.000Z (9 months ago)
• Last Synced: 2024-07-11T11:58:37.964Z (4 months ago)
• Size: 3.91 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Open Data Demo

- [How to Manage and Contribute to the DKUK Open Data GitHub Repository](https://docs.google.com/document/d/1QrxqGFh5kquFtI2ielMwuYAJs8T_50xCr-9IVxK09HQ/edit)

* Main README.md file will contain a list of all datasets and links to their folders.

* Datasets will be separated into categories, each category will have its own folder.

* Each datasource will have its own folder with a README.md and optionally examples of usage using code.

* Nutritional values for a dataset must include:

  * Official name

  * Which organisation maintains it

  * Last DKUK review date

  * Added by 

  * Updated link (+instructions on how to Google it, in case it expires).

  * Link to data dictionary if available

  * Short description.

  * Quality - Low/Medium/High

  * Risks - any information on bad data or transformations needed.

  * License

  * DKUK projects it was used in (with links if possible) or reports, projects from other organisations

  * Time range or period of the dataset, at least last update of the official data

  * Size and volume of the data

  * Level of detail of the data (what does a row in the dataset represent?)

  * Does it require password or to create an account

  * Suggest potential usages

  * Keywords for the dataset

> Note **Limitations**: The repository will not store any data, but it will provide information on how to access it, it also may provide source code of how to work with the dataset.