Reproducible Analytical Pipelines (RAPs) are automated statistical and analytical processes. They ensure that analysis is reproducible, efficient, and high quality. The Analysis Standards and Pipelines team have worked with teams across government to help them implement RAP. From our experiences …
Learn how to create good practice accessible spreadsheets as part of Reproducible Analytical Pipelines using gptables. Learn about how we developed in the open.
The BODS standard creates transparency in corporate governance
The CDDO Data Standards Authority are working on the discovery of Application Programming Interfaces (APIs) within and between different government departments and agencies. APIs are a great way to share data as and when it’s needed using agreed open formats, rather than copying and duplicating data in different places.
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.
The Central Digital and Data Office has developed the Algorithmic Transparency Standard to help public sector bodies in the UK share information on their use of algorithmic tools with the general public.
Should you enable users to save their answers so that they can return to your digital service? And how do you make a data-driven decision?
DWP Digital has launched a new Chief Data Office, to move towards using data more strategically and improve the customer experience for millions of people who access DWP services each year.
What skills do you need to work in data ethics? Read this blog for more details on the new DDaT Data Ethicist Role and its development.
The Data Standards Authority has published guidance about creating and sharing spreadsheets to help people avoid errors and make their spreadsheets easy to find and use across government.
Read how the govcookiecutter helps government data science teams save time and effort when building assured, robust, and secure Agile data science projects.