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# System prepended metadata

title: Data Hazards Checklist

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# Data Hazards Checklist

Below follow the checklists for Project Owners for applying the Data Hazards labels for their own data science projects:

## Before applying:
* Prepare the description and the objective of your data science project.
* Explain detailed description of the variables in the datasets you are using (and what is not included). 
* Explain how and when the data was collected.
* Explain any statistical/algorithmic methods being used.
* Explain who has input on the project.
* Explain what are the outputs are expected, and how these will be shared to a wider audience.

## Learning the Data Hazards labels:
* Read the Data Hazards labels. The current version of the 11 Data hazards labels is available [in here](https://datahazards.com/contents/data-hazards.html).
* Connect the Data Hazard labels and your datasets 


## Applying the Data Hazards labels:


## Displaying the Data hazards labels:



# Resources
* Data Hazards labels for the 
* The Turing Way book has a section how to do a [Sensitive Data Project](https://the-turing-way.netlify.app/project-design/sdp.html) and what are the types of sensitive data [in here](https://the-turing-way.netlify.app/project-design/sdp.html).