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Data

Guidance and regulation

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  • This notice sets out how we will use your personal data and your rights.

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

  • A survey to understand the opportunities for public sector data among businesses, researchers and public bodies.

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

  • Share your reference data for use in projects and services outside your organisation.

  • 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.

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

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

  • Description of the data set showing areas relating to licences for the working of coal.

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

  • Use a reference architecture to develop a public sector organisation’s technology and how it shares data across government.

  • These standards should be used for publishing geospatial data in accordance with the National Data Strategy and in compliance with the recommendations of the Data Standards Authority.

  • Steps for assuring quality under extreme time constraints

  • A short guide to understanding and valuing data, from defining the different types of data to dealing with bad data and bias.

  • 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

  • A user guide for the linked administrative data on education, assessment and university admissions available in the GRADE data set.

  • A simple guide and framework for thinking about artificial intelligence (AI) and autonomy from a systems perspective.

  • How you can test and manage your API when it is in alpha development.

  • This guide explains how public bodies can request data from HMRC.

  • The Data Standards Authority’s (DSA) operating model and processes for working with internal and external partners on setting common data standards for government.