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Data

Guidance and regulation

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

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

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

  • 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.

  • Learn about the Alpha Person Data Standard and how to provide feedback.

  • Description of the abandoned mines catalogue, a search tool to determine relevant abandonment plans to a given search criteria.

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

  • A reference list of Vulnerability Risk Factors: single facts that may apply to a person or household, categorised into domains and with structural rules around hierarchy.

  • Find out about data ownership and how to adopt the data ownership model in your organisation.

  • View the attributes that make up the proposed Person Data Standard.

  • This document proposes a Concept Model to describe the core attributes of a person.

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

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

  • Find out what metadata to record about government data assets and where to store it.

  • A Concept and Logical Data Model to find and support people who may be at risk of a vulnerability.

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

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

  • Learn how the Person Data Standard can be applied in practice when a single authoritative identity is required for person data.