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Find guidance for the responsible use and development of data and data technologies, including artificial intelligence (AI), developed by and for government and public sector bodies.
If you have suggestions for guidance, email [email protected].
皇冠体育app Five Safes framework is a set of principles which enable data services to provide safe research access to data.
This paper builds on existing data laws and ethical principles, as well as the Geospatial Commission鈥檚 own research.
皇冠体育app Model for Responsible Innovation is a practical tool created by DSIT鈥檚 Responsible Technology Adoption Unit (RTA) to help teams across the public sector and beyond to innovate responsibly with data and AI.
皇冠体育app PETs Adoption Guide is a question-based flowchart to aid decision-makers in thinking through which Privacy Enhancing Technologies (PETs) may be useful in their projects.
皇冠体育app Data Ethics Framework guides appropriate and responsible data use in government and the wider public sector.
皇冠体育app Digital, Data and Technology (DDaT) Playbook provides guidance on sourcing and contracting for digital, data and technology projects and programmes.
This guidance focuses on ethical considerations related to the inclusivity of data for research and statistical projects, addressing inclusivity from the perspective of the UK Statistics Authority鈥檚 current data ethics appro鈥�
Towards a data quality culture: principles and practices to assess, communicate and improve the quality of data in government.
皇冠体育app ethics self-assessment process aims to offer researchers an easy-to-use framework to review the ethics of their projects throughout the research cycle.
A set of ethical principles published by the UK Statistics Authority (UKSA).
This guidance document explores ethical considerations in the use of geospatial data for research, analysis and statistics.
This high-level checklist is designed to guide researchers and analysts through some key points that will need to be considered prior to accessing data that has been collected by, or sourced from, third party organisations.
This guidance provides an overview of how project teams can consider public views regarding the use of data within their research and statistics projects.
This guidance document explores ethical considerations in the use of synthetic data for research, analysis, and statistics.
This document provides guidance on how to make data sharing more efficient in government departments and agencies.
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