Synthetic data

CPRD has generated high-fidelity synthetic datasets using a synthetic data generation and evaluation framework that was developed under a grant from the Regulators’ Pioneer Fund launched by The Department for Business, Energy and Industrial Strategy (BEIS) and managed by Innovate UK. The synthetic data generation and evaluation framework used to generate this synthetic dataset and the synthetic datasets are owned by the Medicines and Healthcare products Regulatory Agency (MHRA).

A detailed technical description of the methodology used to generate the synthetic datasets is available in the publication by Wang et al. (2019).

These high-fidelity synthetic datasets replicate the complex clinical relationships in real primary care patient data while protecting patient privacy as they are wholly synthetic. They can be used instead of real patient data for complex statistical analyses as well as machine learning and artificial intelligence (AI) research applications.

These synthetic datasets are being made available with a nominal administrative fee and will need a data sharing agreement (DSA) with the applicant’s organisation for access in line with advice received from the Information Commissioner’s Office (ICO) Innovation Hub in response to a formal query by the MHRA.

For access to these datasets please submit an application form to enquiries@cprd.com including ‘Synthetic data access request’ in the email subject header. Applicants from organisations that are not existing CPRD clients will also need to submit a new client request form.

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(Word, 409KB, 3 pages)

CPRD cardiovascular disease synthetic dataset

This synthetic dataset is based on anonymised real primary care patient data extracted from the CPRD Aurum database. The dataset focuses on cardiovascular disease risk factors and was a proof-of-concept dataset developed as part of a project funded by the Regulators’ Pioneer Fund launched by The Department for Business, Energy and Industrial Strategy (BEIS) and managed by Innovate UK.

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(PDF, 194KB, 5 pages)

CPRD COVID-19 symptoms and risk factors synthetic dataset

This synthetic dataset is based on anonymised real primary care patient data extracted from the CPRD Aurum database. The dataset focuses on patients presenting to primary care with symptoms indicative of COVID-19 and includes data on sociodemographic and clinical risk factors.

The development of this dataset was funded by NHSX using the synthetic data generation and evaluation framework developed under a grant from the Regulators’ Pioneer Fund launched by The Department for Business, Energy and Industrial Strategy (BEIS) and managed by Innovate UK.

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(PDF, 288KB, 8 pages)

Further information 

Press release: New synthetic datasets to assist COVID-19 and cardiovascular research

[Page last reviewed 13 August 2020]