OEDP: Create the value assessment methodology to identify the values of the data-labeller

[dizzysunset]

This task entails designing a methodology used to assess:

1. the main values of the data-labeller;
2. industry/ sector-specific values;
3. particular values the data-labeller has.

Steps:

• define the set of main values (top5) for the data-labeller (such as: integrity, trustworthiness, diversity…)

• create the "tricky" questions /scenarios / an implicit value-test (similar to implicit.harvard.edu/implicit), to see if main values are present and to what extent

• create hierarchy questions to see what how the main values are prioritized by the data-labeller]

• design a scoring model (to assign a score to each of the top 5 values based on the assessment)

• create open questions for identifying other values (industry/sector specific & other particular values)

This value-assessment methodology will be later integrated in the data-labeller platform, for the data-labeller to be able to take the assessment & finish setting up their profile.