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Connecting the dots: network science on GOV.UK

Image showing 3 post-its describing the 3 network types: (a) structural, (b) functional and (3) semantic. The respective ways of inducing a relationship between the pages in the networks are: (a) hyperlink exists from one page to go to the next, (b) user clicks to go from one page to the next and (c) the documents are semantically similar

GOV.UK can be represented as a multilayer network GOV.UK is a group of pages that comprises the best place to find government services and information. In its most abstract form, GOV.UK can be represented as a network made of pages, …

Mixing methods: a recipe for research success

Louise and Haur stand either side of a TV screen, about to present to team colleagues about the 'Third method'

Mixing methods is an approach to research which combines quantitative and qualitative data. Haur and Louise describe how they have used this approach working in the EU Exit Citizen Readiness team at GOV.UK. As a performance analyst, I (Haur) predominantly …

Boosting data science skills with the Data Science Accelerator

Bharath Vadhoola at the Government Digital Service offices holding a blue mug

HMRC's Bharath Vadhoola shares how the programme has helped him get a coveted job as a principal data scientist. Find out how you can get on the programme and boost your career prospects.

Help us start a data revolution for government

Laptop screen with a post-it note saying ‘Join the conversation!’

We want to start a data revolution focusing on service delivery and improving human experience. Find out what we think government needs to do and how you can help.

Building data dashboards that meet user needs

An excerpt from a dashboard about the platform health of a website. It shows: A table and bar chart to show device usage (in sessions) by month The average document interactive time by device and month The percentage of error pages (404s) by month

Data democratisation is a hot topic for analysts, so at the Government Digital Service we wanted to share how we’ve approached this by understanding teams’ user needs for data and what we’ve learned whilst working with these data sources.