It’s important to us that we’re thinking about data ethically and that we’re using data in the right way.
The speed of technology and artificial intelligence development is also putting data ethics in the spotlight, and it is more important than ever that we measure our progress.
Co-op were asked by the Open Data Institute (ODI) to review and give feedback on the data ethics Maturity Model. We then used the tool to become the first organisation to independently assess our data ethics maturity and use it to improve our ethical data practice.
How the ODI Data Ethics Maturity Model works
The model can be used at any stage of an organisation’s data ethics development and is designed to encourage discussions and raise awareness of data ethics. The model covers 6 themes including governance, skills, processes and legal compliance. We use the themes to help identify opportunities to progress through the 5 levels of maturity.
We worked collaboratively to assess how to use the model
We decided to take our time to agree:
- what we wanted to use the tool for
- how to measure our current position
- the scores that we wanted to reach
Our aim was to help drive out opportunities and training needs, and to prioritise activities within the business. We also needed an action plan to increase the data ethics maturity level across the 6 themes.
We organised workshops with participants from the Data Governance team and input from the Data Ethics Advisory Group. Carrying out the assessment annually meant that we could review actions regularly to make sure we’re making progress. We also shared all the outputs with our senior leaders, the Data Ethics Advisory Group and the ODI.
We adjusted the model to work at Co-op
The model is designed to cover all types of organisations, so sometimes the description within the assessment did not align to Co-op. We adjusted the wording so that it was more relevant to us and created some definitions. This will help us to make sure we are consistent when we do the assessment next time.
Co-op has worked on data ethics for a few years, so we baselined our scores as level 3 – ‘Defined’ initially. We then adjusted it according to the evidence we could provide to support the maturity level with a traffic light system:
- Green
- The activity already exists and we have evidence to support the score.
- Yellow
- We partially meet the criteria and have some evidence to support the score.
- Red
- The activity does not exist or we do not have evidence to support it.
Our Data Ethics Advisory Group reviewed our scores before we submitted our assessment to the ODI.
How the model helped us
The model has helped us to formalise our process and focus our efforts, including:
- identifying some quick wins which we have detailed within our action plan
- realising that maturity does not have to be at level 5 across all themes
- focusing on themes that are higher priority to Co-op
- understanding that data ethics is not only the responsibility of the Data Governance team and that we need to develop our relationships with other teams
- using the Data Ethics Maturity Model to help Co-op fulfil our mission of being trusted with data
Tips for carrying out a data ethics assessment
If you’re thinking about creating a maturity assessment, it’s important to tailor it to help your organisation. The ODI provide help on using the tool but they do not publish scores or certify the results, so it’s about making it work for you.
It’s OK to adjust the wording within the model so it aligns with your ways of working. You can note down how you’re interpreting the scores, so that you can reflect on your progress later.
When you score each theme, it’s important to be honest. It will help when you build your action plan. It’s also OK to give yourself a half mark if you’ve only met part of a level within a theme.
Evidence to support your scores can come in all shapes and sizes, and could include presentation recordings, policies, or meeting packs. If you have little or no evidence to support your score, do not be afraid to reduce it. You can always collect evidence for your next assessment.
Be realistic when you decide what your desired score should be. We steered away from setting our desired score as level 5 – ‘Optimising’. This helped us to set realistic expectations and grow our data ethics maturity steadily over time.
Sarah-Jane Moss, Data Governance Manager, Co-op
Tricia Wheeler, Chair, Data Ethics Advisory Group, Co-op
Supported by James Maddison, Senior Consultant, ODI




