To democratize research with sensitive data, we should make synthetic data more accessible.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 39568641.
- Also identified by DOI 10.1016/j.patter.2024.101049 and PMC identifier 11573895.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
For over 30 years, synthetic data have been heralded as a solution to make sensitive datasets accessible. However, despite much research effort, its adoption as a tool for research with sensitive data is lacking. This article argues that to make progress in this regard, the data science community should focus on improving the accessibility of existing privacy-friendly synthesis techniques.