Considerations for the provision of synthetic forms of secure data: An ADR UK Synthetic Data Working Group Guidance paper

This guidance document, developed by the ADR UK Synthetic Data Working Group, outlines key considerations for data owners and providers who are planning to generate and share synthetic forms of secure tabular data. It is intended to support the responsible and effective use of synthetic data for purposes such as research planning, tool development, training and collaboration, particularly within Trusted Research Environments (TREs).The guidance provided in this paper intentionally relates to the provision of synthetic data with low disclosure risk. This is typically ‘lower fidelity’ synthetic data in tabular form that replicates the structure of real datasets but does not preserve statistical relationships between variables yet still has the potential for high utility for a set of defined use cases.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-18
DOI
https://doi.org/10.5281/zenodo.17980237
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Considerations for the provision of synthetic forms of secure data: An ADR UK Synthetic Data Working Group Guidance paper

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Considerations for the provision of synthetic forms of secure data: An ADR UK Synthetic Data Working Group Guidance paper

article en

Abstract

This guidance document, developed by the ADR UK Synthetic Data Working Group, outlines key considerations for data owners and providers who are planning to generate and share synthetic forms of secure tabular data. It is intended to support the responsible and effective use of synthetic data for purposes such as research planning, tool development, training and collaboration, particularly within Trusted Research Environments (TREs).The guidance provided in this paper intentionally relates to the provision of synthetic data with low disclosure risk. This is typically ‘lower fidelity’ synthetic data in tabular form that replicates the structure of real datasets but does not preserve statistical relationships between variables yet still has the potential for high utility for a set of defined use cases.

Zenodo (CERN European Organization for Nuclear Research)
University of Essex (GB), University of Bristol (GB), Clinical Practice Research Datalink (GB), NHS England
Partnerships for the goals
Openalex Percentile: Top 26%
Research Data Management Practices
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