Consider your analysts’ wellbeing
Posted: Thu Feb 06, 2025 6:35 am
Make this a transparent, meaningful part of your process – not a tick box exercise. Data analysts working with sensitive data need to be aware that behind each data point, there is or was a life. This will help them consider the consequences of their analysis. How would you feel if the data you are analysing were about you? How much care would you put into the analysis and accuracy of the results?
Give yourself time!
This all takes time – build it in from the start so you switzerland rcs data know you can do it right. All the points above need tackling thoughtfully – not in a rush! In particular, build in plenty of time for cleaning and anonymising the data as possible, and this process can take a lot of time. You can automate your anonymisation process – but should manually check the outputs to ensure the automation is doing what you want it to.
Sensitive data can affect not only your users, but also those performing the analysis. Always provide a warning about the content of the documents they are about to see and give them the option of not receiving the most sensitive data. Consider sharing a sample of the data with them so that they can get an idea of what they will encounter.
Safeguarding in Action: Action for Children
Analysing webchat data from their Parent Talk service was a key way for family support organisation Action for Children to understand their users’ needs. DataKind UK helped them to ensure the data was fully anonymised and safe for volunteer data analysts to look at. Together, they put together a full Risk Register and Action for Children ran a Data Protection Impact Assessment. They also put the utmost importance on ensuring no personal information was seen by anyone outside of their service team.
Give yourself time!
This all takes time – build it in from the start so you switzerland rcs data know you can do it right. All the points above need tackling thoughtfully – not in a rush! In particular, build in plenty of time for cleaning and anonymising the data as possible, and this process can take a lot of time. You can automate your anonymisation process – but should manually check the outputs to ensure the automation is doing what you want it to.
Sensitive data can affect not only your users, but also those performing the analysis. Always provide a warning about the content of the documents they are about to see and give them the option of not receiving the most sensitive data. Consider sharing a sample of the data with them so that they can get an idea of what they will encounter.
Safeguarding in Action: Action for Children
Analysing webchat data from their Parent Talk service was a key way for family support organisation Action for Children to understand their users’ needs. DataKind UK helped them to ensure the data was fully anonymised and safe for volunteer data analysts to look at. Together, they put together a full Risk Register and Action for Children ran a Data Protection Impact Assessment. They also put the utmost importance on ensuring no personal information was seen by anyone outside of their service team.