This year is the 10th anniversary of the Justice Data Lab, a pioneering team enabling third sector organisations to commission impact evaluations of their work.
The Race Disparity Unit at the Cabinet Office Equalities Hub have analysed different approaches taken by national governments to understanding how they compare on issues such as ethnic diversity and cultural identity.
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.
...greater level of understanding and better meet user needs. Cost savings can be achieved by avoiding duplication. Meet the required standards Harmonisation is required by the Code of Practice for...
...of the victim. New pages that we’d like to develop include loneliness, and access to gardens and other green spaces. New data pages in development ‘Ethnicity facts and figures’ includes...
...for example our work with the Office for National Statistics (ONS) on linked data - setting out how we might use linkage, (i) to understand or to tackle quality limitations,...
...percentages, so it's useful to be able to see both for the full picture. For example, in 5 workforces – armed forces, firefighters, prison officers, tribunal judges and non-legal members...
The Race Disparity Unit has today published the first in a series of summaries of data from the ‘Ethnicity facts and figures’ website. This first summary shows a range of...
...quite reasonable to comment on the combined Asian group. In other datasets it makes little sense because the data for the different Asian ethnic groups is quite different. For example,...
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