Safe data sharing: Is synthetic data a solution?
Some of the most promising areas for data innovation in government and the wider public sector are also some of the most sensitive. Developing targeted interventions, optimising medical treatments, and preventing fraud and security breaches increasingly mean processing large volumes of personally identifiable data. That data must be kept safe and used appropriately – a challenge that’s even greater when the data crosses organisational boundaries.
So what are the options when it comes to safe data sharing? And is anonymisation, using synthetic data, a solution?