Richard Laux outlines the 3 main reasons for collecting data about people’s ethnicity and identifies 6 principles for collecting these to meet all users’ needs.
We're borrowing software engineering tools to make analytical code more robust, and encouraging people to ditch spreadsheets for programming languages. Our aim is ease of reproducibility, quality assurance, auditability, adaptability and sustainability of our analysis.
Darren Stillwell explains why the Race Disparity Unit (RDU) is a big fan of ‘harmonisation’. He outlines what the RDU is doing to make ethnicity data more consistent and comparable, and outlines some barriers they’re encountering along the way.
Rachel Beardmore explains how the Race Disparity Unit is making more data available to support research into the effects of coronavirus (COVID-19) on people from ethnic minorities.
Today the Race Disparity Unit has published the first in a new series of methods and quality reports. Find out more in this blog post
The Race Disparity Unit has recently published the second in a series of summaries of data from the Ethnicity facts and figures website. Discover how the collection of staff ethnicity can be improved
The Race Disparity Unit has today (27 June) published the first in a series of summaries of data from the ‘Ethnicity facts and figures’ website.
This first summary shows a range of facts and figures about Black Caribbean people in England and Wales.
This post explains the concept of ‘harmonisation’ and illustrates how it can help make statistics more coherent and comparable, with reference to a recent childhood obesity study.