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Description of the dataset showing part of the coal mining reporting area which contains recorded coal mining related features.
Sets out the role and approach of the DSA to improve the adoption of common data standards across government over the next 3 years.
This guidance has been designed to support public sector teams completing ATRS records.
AI is one of the fastest-moving areas of technological advancement in government defence, bringing the capability to counter threats and create opportunities.
The Code of Data Matching Practice explains the data matching work the NFI does.
Description of the data set showing known locations where a coal seam is near the surface.
Description of the dataset showing the area of the ground that might be affected if subsidence a mine entry occurs.
A short guide to artificial intelligence (AI), data science and machine learning, explaining the terminology and helping you use and apply the latest advances.
The Secretary of State and the Information Commissioner have agreed this Memorandum of Understanding, which recognises the roles and responsibilities of DCMS and the ICO in carrying out adequacy assessments.
First published during the 2019 to 2022 Johnson Conservative government
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.
Use data more effectively by improving your technology, infrastructure and processes.
Description of the data set showing underground coal workings whose depth is 30 metres or less from the surface.
Apply to use data available under licence from the Mining Remediation Authority and view the cost of the data.
How to choose data tools and infrastructure that are flexible, scalable, sustainable and secure.
A guide to some different ways of visualising data and their respective strengths and weaknesses.
Programme introduction, dates, eligibility, how to apply and how to become a programme mentor.
This notice sets out how we will use your personal data, and your rights.
A simple guide and framework for thinking about artificial intelligence (AI) and autonomy from a systems perspective.
Use a reference architecture to develop a public sector organisation’s technology and how it shares data across government.
The data formats bus operators must use when publishing location data via the Bus Open Data Service under the SIRI-VM standard.
Don’t include personal or financial information like your National Insurance number or credit card details.
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