The Justice Data Lab turns 10!
The Justice Data Lab turns 10!
This year is the 10th anniversary of the Justice Data Lab, a pioneering team enabling third sector organisations to commission impact evaluations of their work.
Collaborative learning: closer ties with academia
Posted by:
Harry Wrightson - Data Scientist, GDS, Posted on:
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Categories:
Data Science Accelerator, Network science, Other, People and Skills, Text Analytics, Uncategorized
GDS x Imperial University Collaboration 2022 Collaboration and innovation are some of the key tenets of the Digital, Data and Technology (DDaT) profession. The Cabinet Office offers many avenues for productive collaboration, enabling internal and external partners to develop both …
Using Data Science for Next-Gen Statistics
Posted by:
Brid Roissetter – Data Scientist, The Office for National Statistics and Dominic Bean – Data Scientist, The Office for National Statistics, Posted on:
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Categories:
Data Engineering, Data science, Other tools, Python, Reproducible Analytical Pipelines
As the 21st century progresses, using data effectively has become a priority for many organisations, including the Office for National Statistics (ONS). The ONS's unique focus, however, goes beyond just utilising data effectively. The organisations ultimate goal is to create …
DIT's Data Workspace - all our data, in one place
Posted by:
Agnes Coaker - Senior Data Analyst, Department for International Trade, Posted on:
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Categories:
Data Engineering, Data science, Implementation
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.
Beyond checklists: critical thinking about data ethics, technology and AI
Posted by:
Michael Hodge – Senior Data Scientist, Office for National Statistics and Harriet Sands – Senior Data Scientist, NHS Digital, Posted on:
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Categories:
Data Ethics, Data literacy, People and Skills
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.
How we are using machine learning to detect GOV.UK feedback spam
Posted by:
Felix Reilly, Data Scientist, Government Digital Service, Posted on:
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Categories:
Data insights, Data science, Machine learning
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.
Splink: Fast, accurate and scalable record linkage
Posted by:
Robin Linacre - Data scientist, Ministry of Justice, Posted on:
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Categories:
Data Engineering, Data science, Python
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 …
Mentoring a Successful RAP Project
Posted by:
Jacob Cole – Data scientist, Office for National Statistics, Posted on:
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Categories:
agile, Reproducible Analytical Pipelines
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 …
Automatically produce best practice spreadsheets
Posted by:
Rowan Hemsi, Data Scientist, Office for National Statistics, Posted on:
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Categories:
Excel, Python, Reproducible Analytical Pipelines, Spreadsheets
Learn how to create good practice accessible spreadsheets as part of Reproducible Analytical Pipelines using gptables. Learn about how we developed in the open.
Using the Beneficial Ownership Data Standard to support the Economic Crime Bill
Posted by:
Data Standards Authority, CDDO, Posted on:
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Categories:
Beneficial Ownership, Data Standards, Open Standards
The BODS standard creates transparency in corporate governance
Using a federated model for API discovery in government
Posted by:
Bethan Palmer, Data Standards Authority Developer, Central Digital and Data Office, Posted on:
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Categories:
Data Standards, Guidance, Implementation, People and Skills
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.
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