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Description of the dataset showing part of the coal mining reporting area which contains recorded coal mining related features.
Consistent and standards-based comma-separated values (CSV) files help make data more effective and easier to share across government.
The Innovation Fellowship is 10 Downing Streets flagship initiative for bringing world class technical talent into government for high impact tours of duty.
This guidance has been designed to support public sector teams completing ATRS records.
This guide explains how public bodies can request data from HMRC.
Description of the dataset showing the area of the ground that might be affected if subsidence a mine entry occurs.
The Code of Data Matching Practice explains the data matching work the NFI does.
Learn how to assess and manage the quality of your data if you work in a public sector organisation.
Use data more effectively by improving your technology, infrastructure and processes.
Spreadsheets are a common way to share data. Use this information to help you avoid common errors, improve interoperability and create more accessible spreadsheets.
AI is one of the fastest-moving areas of technological advancement in government defence, bringing the capability to counter threats and create opportunities.
This page provides details about DSIT's portfolio of AI assurance techniques and how to use it.
Description of the data set showing underground coal workings whose depth is 30 metres or less from the surface.
This page collates the various existing ethical principles for data and AI, developed by government and public sector sector bodies. It intends to provide clarity and guidance for public servants working with data and/or AI.
Description of the data set showing known locations where a coal seam is near the surface.
Description of the dataset showing extent of coal resources capable of being extracted by surface mining methods.
Apply to use data available under licence from the Mining Remediation Authority and view the cost of the data.
An introductory guide for practitioners interested in finding out how assurance techniques can support the development of responsible AI.
A short guide to artificial intelligence (AI), data science and machine learning, explaining the terminology and helping you use and apply the latest advances.
This notice sets out how we will use your personal data and your rights.
Don’t include personal or financial information like your National Insurance number or credit card details.
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