Help us start a data revolution for government
...a real opportunity to do more. There is not yet a strong practical movement in central government focusing on the applied experience of data for better services - the intersection...
...a real opportunity to do more. There is not yet a strong practical movement in central government focusing on the applied experience of data for better services - the intersection...
We are creating a single taxonomy for GOV.UK, to make it easier for visitors to find what they are looking for quickly. This blog is about how we have experimented...
...team are working toward a public beta date in January 2015. Department / Agency: HMRC Date of Assessment: 8/1/2015 Assessment stage: Beta Lead Assessor: R. Morgan Service Manager: I. Atkin...
...waste from their own business, pay no fee (lower tier). Other users, who carry wastes for others, pay a fee for registration (upper tier). For upper tier users, registrants are...
...is key for Know Your Customer controls. National Security For example, as a government, I need to identify whether those seeking to control companies which are important for national security...
...and decision-making more transparent. Why use open source code for data analysis? To summarise many other articles on the benefits of using open source code for data analysis: Analyses and...
...code will lead to other services learning how to expose similar functionality in that manner. It should also provide working code for ideas that could potentially be taken to the...
...What is DAUGS (for)? This was a useful reminder for me, and a great introduction for one of my colleagues who was attending for the first time. It also demonstrated...
...which classifies ethnicity data as ‘special category data’ and the UK Statistics Authority’s Code of Practice for Statistics. The data should be, as far as possible, comparable between data sources...
...have been interested in data science for a long time. When I started to work for HM Land Registry (HMLR), my colleagues saw my long-term enthusiasm for data science and...