As a mission-driven organisation, the Open Data Institute (ODI) is fortunate to be in the position to partner with similar organisations looking to do good in the world. One such partner is Global ...

Each year in England, 24.8 million adults volunteer in some way at least once, delivering essential support in their communities, from crisis response and youth programmes to supporting vulnerable ...

Facing the challenge of embedding ethical considerations into your operations. In today’s evolving landscape of data ethics and responsible AI, organisations face the challenge of embedding ethical ...

The data ethics maturity model is a tool for anyone who collects, uses and shares data. It helps assess and benchmark how widely embedded data ethics culture and practices are across your organisation ...

Programme Lead for Data Institutions, Jack Hardinges, discusses the ODI’s ongoing work to test data trusts as an approach to stewarding data, and some of the recent developments in the field To ...

‘Assessing risk when sharing data: a guide’ has been created to help organisations identify, assess and manage risks related to sharing data that they hold From optimising supply chains and supporting ...

2025 is a pivotal year for the future of Europe. As the world grapples with the transformative power of data and the AI it feeds, the EU can shape a future where these technologies and their ...

With the support of the Patrick J. McGovern Foundation, our continued work in this area will help bring about new, and improve existing, ways for data to be stewarded responsibly for positive social, ...

As AI systems become increasingly used in everyday work and life, understanding key aspects of how these systems have been created and how far to trust the outcomes is becoming more and more essential ...

This report aims to map the UK government’s activity on ‘data literacy’, as part of the ODI’s work supporting the development of the UK’s data economy The UK government recognises the importance of ...

Data is the foundation of AI. Poor quality data drives up costs and can lead to hidden problems for AI, especially in complex fields like healthcare. Meanwhile, biased data negatively affects the ...

In order to explore data institutions, it’s important to first understand the concept of data stewardship and how it fits into our theory of change. In this blog, we explain the concept of data ...