Article 10 2.

the relevant design choices;

data collection processes and the origin of data, and in the case of personal data, the original purpose of the data collection;

relevant data-preparation processing operations, such as annotation, labelling, cleaning, updating, enrichment and aggregation;

the formulation of assumptions, in particular with respect to the information that the data are supposed to measure and represent;

an assessment of the availability, quantity and suitability of the data sets that are needed;

examination in view of possible biases that are likely to affect the health and safety of persons, have a negative impact on fundamental rights or lead to discrimination prohibited under Union law, especially where data outputs influence inputs for future operations;

appropriate measures to detect, prevent and mitigate possible biases identified according to point (f);

the identification of relevant data gaps or shortcomings that prevent compliance with this Regulation, and how those gaps and shortcomings can be addressed.