How to promote the sharing of data for wider reuse when sensitive data cannot be shared? π The LMU Open Science Center offers a tutorial on how to create shareable and useful datasets when working with sensitive data.
The Tutorial of the Day: Generating and Evaluating Synthetic Data in R π€ https://lmu-osc.github.io/synthetic-data-tutorial/
Synthetic data are artificially generated datasets that mimic the structure and patterns of real data. By excluding personally identifiable information, it allows researchers to share data responsibly. With synthetic data, you can:
βοΈ Explore and test new ideas on shared data when real data are restricted
βοΈ Showcase the reproducibility of your methods and results by providing, along with the synthetic data, the code that analyzed the real data
βοΈ Provide more information and visibility on your work and prompt collaborations
βοΈ Generate realistic datasets for educational purposes
Create privacy-safe and shareable data today! π
This tutorial has a CC BY license, so you can freely reuse and adapt it for your own courses or workshops by giving attribution.