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Developing Synthetic Data Tools for Trusted Research Environments to Enable Researcher Training

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Synthetic data generation improves researcher training in trusted research environments, enhancing access to data.
The tool enables varying fidelity levels of synthetic data, with built-in privacy assessments being a key feature.
Utilizing statistical techniques and machine learning, the framework evaluates quality and utility of synthetic datasets.
Governance strategies support the deployment of synthetic datasets, addressing restrictions on accessing real data.

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Observational analysis reveals benefits of synthetic data in training within trusted research environments, indicating enhanced research capacity.

Hotchkiss et al. (2025) studied this question.

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Observational analysis reveals benefits of synthetic data in training within trusted research environments, indicating enhanced research capacity.