Who really benefits from UK business ownership?
Who really benefits from UK business ownership?
We want your help to identify and establish an Open Standard for beneficial ownership data.
COVID-19 data on ‘Ethnicity facts and figures’
Posted by:
Rachel Beardsmore - Head of Data Acquisition and Dissemination, Race Disparity Unit, Posted on:
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Categories:
Data insights, Statistics
Rachel Beardmore explains how the Race Disparity Unit is making more data available to support research into the effects of coronavirus (COVID-19) on people from ethnic minorities.
My first 6 months as Head of Digital Performance Analytics
Posted by:
Gemma Elsworth - Head of Digital Performance Analytics, DWP, Posted on:
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Categories:
Google Analytics, People and Skills, Performance Analysis
Gemma Elsworth, Head of Digital Performance Analytics at DWP, looks back on the challenges and achievements of her first 6 months in the role.
Government Data Science community meetup, May 2020
Posted by:
Hillary Juma - Data Science Community Manager, ONS and James Charlton - Data Science Community Manager, GDS, Posted on:
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Categories:
Data insights, Data science, Events, Machine learning, People and Skills
We recently held our first completely remote Data Science Community of Interest event. Hillary and James talk in this post about the event and recap some of the presentations
Using new updates to schema.org to assist our response to the coronavirus pandemic
Posted by:
Rosalie Marshall - Lead Technology Advisor, GDS and Simon Hughesdon - Senior Developer, GDS, Posted on:
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Categories:
Data Standards, Open data
This post explains how the Government Digital Service (GDS) have implemented updates from schema.org to GOV.UK, to make important coronavirus content easier to find for users.
Why we’re talking more about how we collect and analyse data on ethnicity
Posted by:
Richard Laux - Deputy Director (Data and Analysis), Race Disparity Unit, Posted on:
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Categories:
Data insights, Open data, Statistics
Today the Race Disparity Unit has published the first in a new series of methods and quality reports. Find out more in this blog post
RAPpers delight
Posted by:
Anthony Ash - Statistician, MHCLG, Posted on:
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Categories:
Data science, R, Reproducible Analytical Pipelines
The Homelessness and Troubled Families Analysis Team at MHCLG have recently published the latest 2019 Rough Sleeping Snapshot statistics using a Reproducible Analytical Pipeline (RAP). This felt like a real achievement as we are one of the first teams in …
The Data Science in Transport community just got bigger
Posted by:
Kian Chapman-Raafat - Data Scientist, Department for Transport, Posted on:
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Categories:
Data science, Events, Python, R
The 23rd of January 2020 marked the biggest Data Science in Transport community event to date. People from across academia, industry, and the public sector came together for a hack, conference, and networking event to learn from each other.
Fostering a data science innovation culture
Posted by:
Nicky Zachariou - Head of Data Science (Prisons and Probation), MoJ, Posted on:
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Categories:
Data science, People and Skills
Data science is a complex, rapidly changing discipline and has an increasingly diverse range of applications. read how Nicky formalised the process of continuous learning and innovation by encouraging people to spend up to 20% of their time exploring new and innovative data science tools and techniques
Engineering the data of the future
Posted by:
Sam Tazzyman - Head of Data Engineering, Ministry of Justice, Posted on:
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Categories:
Data Engineering, Data science
Like most organisations today, the Ministry of Justice (MoJ) wants to use its data more effectively. The goal is to make sure that people making decisions have the insights they need at the right time to guide their decision making, whether that’s front-line prison staff or senior civil servants.
When worlds collide: putting data science into production
Posted by:
Karl Baker - Senior Developer, GDS, Posted on:
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Categories:
Data science, Machine learning
Read about how GOV.UK productionised the related links section, taking the outputs from a machine learning algorithm and adding them to the live workflow for publishers