Document relevant design choices

Use quality training, validation and testing data sets

Implement appropriate data governance and management practices

Document data collection processes and origin

Document data preparation processing operations

Formulate and document assumptions about data

Assess data availability, quantity and suitability

Examine data for possible biases

Implement bias detection, prevention and mitigation measures

Identify and address data gaps and shortcomings

Ensure data sets are relevant, representative and error-free