Data Workspace is a DIT platform providing one place for our people to find data they need. They can search, view and analyse it, all in one place.
On the 6 th December 2022, the Data Ethics and Society Reading Group will run its fourth event of the year, focusing on Artificial Unintelligence. Here, Harriet and Michael talk about the group.
The GOV.UK feedback form was receiving a lot of spam requests. We developed a machine learning model to detect spam responses — here is how we created it.
A common data quality problem is to have multiple different records that refer to the same entity but no unique identifier that ties these entities together. For example, customer data may have been entered multiple times by accident, or …
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?