Delighted to share our new paper detailing how to create synthetic data to help promote open-science practices (specifically within longitudinal population-based studies) using #ALSPACwellcomeopenresearch.org/articles/9-5... /1

Why is this important? Making data (and analysis code) open is vital for ensuring reproducibility, transparency and trustworthiness in science. But sometimes this isn’t possible, as data may be either sensitive, identifiable or have sharing restrictions in place /2