The Longitudinal Impossible Dataset

Andreas Mastrosavvas introduces the Longitudinal Impossible Dataset, a tool that lets users generate metadata-based synthetic datasets that mirror the structure and coding schemes of the ONS Longitudinal Study.

Rethinking mental healthcare access

Alice Varley, one of our Data Impact Fellows, explores why access to mental healthcare matters, how a new composite measure can better capture accessibility to mental healthcare, and why gaps in available data still limit our ability to address mental health inequalities.