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Publish a fake but realistic copy of each secure cancer dataset so researchers can write and test their code at home, then run the finished code on the real data.
Access to secure datasets typically takes months; analysts then waste TRE time debugging. Synthetic datasets with the same schema and approximate joint distributions (for example the Simulacrum, built from the English cancer registry by Health Data Insight) let code be written and unit-tested outside the enclave. The proposal makes a validated synthetic companion mandatory for every dataset in a national cancer data space, with fidelity and privacy metrics published.