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.
Alexander Newton - Good Practice Data Scientist, ONS
Related content and links
About this blog
This is a cross government blog about our work with data and the way we’re using performance analysis and data science techniques to improve service delivery and policy outcomes, and our work to find, access and use open government data.
Subscribe to Open Notes
Sign up to get updates direct to your inbox and stay informed about improvements to digital products and services in government.
- DIT's Data Workspace - all our data, in one place 11 January 2023
- Beyond checklists: critical thinking about data ethics, technology and AI 9 November 2022
- How we are using machine learning to detect GOV.UK feedback spam 3 October 2022
- Splink: Fast, accurate and scalable record linkage 23 September 2022
- Mentoring a Successful RAP Project 8 August 2022