The findings from our research into the global state of data trusts with the Global Partnership on Artificial Intelligence (GPAI) and the Aapti Institute have now been published: Enabling data sharing for social benefit through data trusts
The ODI and the Aapti Institute are working together with the Global Partnership for AI to better understand knowledge about, attitudes towards and practices of data trusts from around the world.
Stewarding data is the foundational activity in the lifecycle of data. It involves collecting, maintaining and sharing it – and in particular, making important decisions about who has access to it, for what purposes and to whose benefit. How data is stewarded ultimately affects what types of products, services and insights it can be used to create, what decisions it can inform and which activities it can support.
In recent years, we’ve seen experimentation around new approaches to data stewardship. These approaches are designed to help address the power imbalance between people and corporations by empowering individuals and communities – usually those who have generated the data or whom the data is about – to play a more active role in deciding how it’s used. These participatory approaches to data governance have enabled new initiatives focused on tackling some of society’s biggest challenges. For example, Open Humans enables people to explore, analyse and share data about their health, and make it available for citizen science projects, and Driver’s Seat helps gig economy drivers to pool data about them to understand and optimize their working hours.
Over the next six months Aapti and the ODI will:
- do a review of relevant literature to document and bring together current perspectives around data trusts. This will build on the work of people such as Sylvie Delacroix and Neil Lawrence, Anouk Ruhaak, Sean McDonald and Jasmine McNealy, and from organisations such as the Mozilla Data Futures Lab, the Ada Lovelace Institute, Element AI and Nesta.
- run a survey to understand how those practicing data stewardship engage with the idea of data trusts, in order to move the conversation forward from the conceptual to the actionable. We intend to reach those seeking to create or already operating data trusts, and similar initiatives, as well as organisations that are working on the topic of data stewardship and have a good vantage of these efforts in their particular nations or regions.
- produce a report to share our findings, describing an international perspective on data trusts and their current practice. We will also share our broader reflections on the progress of data trusts to date, opportunities for their further development and practice, and action required to make it possible.
We’re committed to seeking and involving perspectives from Low and Middle Income Countries in this work. The Aapti team is already deeply engaged with and has a breadth of knowledge on the data stewardship landscape in South Asia, and to widen the UK perspective of its work on data institutions, the ODI is working with the World Bank to explore the role they play in Low and Middle Income Countries. We’re hoping that together, and along with the Global Partnership for AI, we can reach and support the participation of a broad range of stakeholders from different parts of the world in this project.
If you are working on the topic of data trusts and would like to get involved in this work then please get in touch at email@example.com. We’re especially interested in resources to consider in our literature review or organisations we should include as part of our survey.
If you are interested in informing our study of data trust, we are looking for respondents for our survey. In particular we’d like to hear from those from all over the world who are building or running data trusts (or a similar initiative), or those working on the topic from an academic, theoretical or advocacy perspective. If you fall into either of these groups, please fill out our survey.
In tandem with this work, the Aapti team is also working on a top-down analysis of legal frameworks for data trusts, supported by GPAI.