Guidelines for Producing Useful Synthetic Data

Raab, G.M., Nowok, B. & Dibben, C. (2017) arXiv 1712.0407812 December 2017. [SLS][ONS LS][NILS][CALLS]

Other information:

SLS project page
ONS LS project page
NILS project page


We report on our experiences of helping staff of the Scottish Longitudinal Study to create synthetic extracts that can be released to users. In particular, we focus on how the synthesis process can be tailored to produce synthetic extracts that will provide users with similar results to those that would be obtained from the original data. We make recommendations for synthesis methods and illustrate how the staff creating synthetic extracts can evaluate their utility at the time they are being produced. We discuss measures of utility for synthetic data and show that one tabular utility measure is exactly equivalent to a measure calculated from a propensity score. The methods are illustrated by using the R package synthpop to create synthetic versions of data from the 1901 Census of Scotland.

Available online: arXiv
Output from project: 2013_012 (SLS), 30158 (ONS LS), 079 (NILS)


Recent News

Upcoming Events

Sorry, there are currently no upcoming Events.

Latest Tweets