To democratize research with sensitive data, we should make synthetic data more accessible
<|reference_start|>To democratize research with sensitive data, we should make synthetic data more accessible: For over 30 years, synthetic data has been heralded as a promising solution to make sensitive datasets accessible. However, despite much research effort and several high-profile use-cases, the widespread adoption of synthetic data as a tool for open, accessible, reproducible research with sensitive data is still a distant dream. In this opinion, Erik-Jan van Kesteren, head of the ODISSEI Social Data Science team, argues that in order to progress towards widespread adoption of synthetic data as a privacy enhancing technology, the data science research community should shift focus away from developing better synthesis methods: instead, it should develop accessible tools, educate peers, and publish small-scale case studies.<|reference_end|>
@article{van kesteren2024to,
    title={To democratize research with sensitive data, we should make synthetic
  data more accessible},
    author={Erik-Jan van Kesteren},
    journal={arXiv preprint arXiv:2404.17271},
    year={2024},
    doi={10.1016/j.patter.2024.101049},
    archivePrefix={arXiv},
    eprint={2404.17271},
    primaryClass={stat.OT cs.CY}
}