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Data

Guidance and regulation

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  • Description of the dataset showing underground coal workings whose depth is 30 metres or less from the surface.

  • Consistent and standards-based comma-separated values (CSV) files help make data more effective and easier to share across government.

  • A mission statement setting out the UK approach to adequacy assessments and international data transfers, along with the UK manual for undertaking assessments, guidance for the UK manual for undertaking assessments and a map…

  • Spreadsheets are a common way to share data. Use this information to help you avoid common errors, improve interoperability and create more accessible spreadsheets.

  • A standardised way of recording and sharing information about how the public sector uses algorithmic tools.

  • Description of the dataset showing areas of coal extracted by surface excavations in the past or currently being excavated.

  • Description of the dataset showing extent of coal resources capable of being extracted by surface mining methods.

  • This guidance has been designed to support public sector teams completing algorithmic transparency reports.

  • An introductory guide for practitioners interested in finding out how assurance techniques can support the development of responsible AI.

  • Use data more effectively by improving your technology, infrastructure and processes.

  • How to make sure your data is accessible, reusable and maintained independently of any technology or service.

  • 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/o…

  • Programme introduction, dates, eligibility, how to apply and how to become a programme mentor.

  • This cross-government review contains contributed articles on state-of-the-art data linking methods and makes recommendations for government data linkage.

  • Description of the dataset showing types of geological disturbances which may have been affected by coal mining.

  • A short guide to artificial intelligence (AI), data science and machine learning, explaining the terminology and helping you use and apply the latest advances.

  • How to choose data tools and infrastructure that are flexible, scalable, sustainable and secure.

  • The data formats bus operators must use when publishing location data via the Bus Open Data Service under the SIRI-VM standard.

  • Guidance for local authorities and operators of local bus services in England.

  • Sets out the role and approach of the DSA to improve the adoption of common data standards across government over the next 3 years.