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Data

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  • Description of the dataset showing part of the coal mining reporting area which contains recorded coal mining related features.

  • 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.

  • This guidance has been designed to support public sector teams completing ATRS records.

  • Apply to use data available under licence from the Mining Remediation Authority and view the cost of the data.

  • This page provides details about DSIT's portfolio of AI assurance techniques and how to use it.

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

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

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

  • Description of the data set showing known locations where a coal seam is near the surface.

  • The Innovation Fellowship is 10 Downing Streets flagship initiative for bringing world class technical talent into government for high impact tours of duty.

  • AI is one of the fastest-moving areas of technological advancement in government defence, bringing the capability to counter threats and create opportunities.

  • Description of the dataset showing the area of the ground that might be affected if subsidence a mine entry occurs.

  • Description of the data set showing likely extent of probable underground coal workings for which no recorded plans exist.

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

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

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

  • A simple guide to understanding and describing the trustworthiness of autonomous systems and associated artificial intelligence (AI) algorithms.

  • A guide to some different ways of visualising data and their respective strengths and weaknesses.

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