Perhaps people will now wake up to reality that data is people. And people will die because of the data we collect.
From the Blog on data minimalisation
Marital Status
Understanding the size of your household and the age and gender of each person can help determine your nutrition requirements. But marital status?
Finding answers we never contemplated
‘Reduce the need for them.’ ‘Don’t collect that piece of data.’ Shifting our perspective can help us find answers we never contemplated.
Biometrics and Extreme Data Minimisation
What if after selecting and enrolling aid recipients, we would delete the registration database while only keeping the biometric database.
How much data is enough?
If our goal is a unique ID for each person we work with so that we have the ability to de-duplicate our lists, how much data is needed, is enough?
Maybe we shouldn’t share data?
It is assumed data sharing is a good thing. But what if it isn’t necessary? What if there are other, equally effective, ways to accomplish your goal?
Data Clarity
In the Ebola crisis, the only piece of data required was the temperature of the person. We need less data than we collect, so why are we collecting more?
Driven by Fear and Fraud
Collecting data comes with a cost for the agency collecting it and the person from whom it is collected. Does the data have a purpose beyond fear and fraud?
Data and Money
Our behaviour around data and money can be very similar. We always seem to want more, but we’re not sure why we need more or what we’ll do with it.