Slide 44
Slide 44 text
1. Only store data you need
2. Always remove primary identifiers
3. Aggregate and statistically anonymise data before sharing
• You can’t foresee all future datasets and potential linkage risks
• You can’t foresee the future power of machine learning on this data
4. If data is too complex to anonymise:
• extract the features of interest
• anonymise and share only those
5. Even better, don’t share the data itself, allow secure queries on the data
6. Be open and clear about how you protect and use private data
Lessons for Data Practitioners