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To democratize research with sensitive data, we should make synthetic data more accessible
1Department of Methodology and Statistics, Utrecht University, Utrecht, the Netherlands.
Patterns (New York, N.Y.)
|November 21, 2024
Summary
Synthetic data can improve sensitive data access, but adoption is low. The data science community must enhance the accessibility of privacy-preserving synthesis methods for broader research use.
Area of Science:
- Data Science
- Privacy-Preserving Technologies
- Statistical Modeling
Background:
- Synthetic data generation has been proposed for over 30 years to enable access to sensitive datasets.
- Despite extensive research, the practical adoption of synthetic data for sensitive data research remains limited.
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