Examples
Worked examples
- Is an instance
A patient-data trust governing reuse of de-identified NHS records for approved research projects.
- Is an instance
A municipal data trust governing access to citizen-contributed IoT data.
Counter-examples
Looks similar, but isn't
- Not an instance
A standalone open data portal is not a data trust unless a fiduciary governance structure is added.
- Not an instance
An internal corporate data lake is not a data trust.
Editorial commentary
Data trust is a governance pattern rather than a specific technical platform. The Open Data Institute (UK) and the Ada Lovelace Institute have developed the modern conception: a trust entity (often a charitable foundation or community-interest company) takes on legal duties towards data subjects and contributors, enabling controlled sharing for defined purposes. Data trusts have been piloted for urban data, biomedical data, and AI-training corpora. The model is distinct from a ‘data commons’ (open pooled resources) and from a ‘data hub’ (technical aggregation).
References
- Open Data Institute, 'What is a Data Trust?' (theodi.org).
- Hardinges J., 'Defining a Data Trust', ODI working paper, 2018.
Data trust vs. data cooperative, data commons, and data intermediary
These four terms are often used loosely and interchangeably, but they describe distinct governance structures:
- Data trust — a fiduciary intermediary (a separate legal entity such as a charitable foundation or community interest company) holds legally enforceable duties of care towards contributors and beneficiaries, and applies pre-agreed terms of access on their behalf. The defining feature is the fiduciary relationship, not the technology.
- Data cooperative — an organizational form in which contributors are themselves the members and owners of the governing body, typically structured as a cooperative business. Duties run to the membership collectively, who set the rules democratically, rather than to a separate trustee acting on their behalf.
- Data commons — a pooled resource governed by shared community rules (in the tradition of Elinor Ostrom’s commons governance research), usually with broad or open access rather than case-by-case mediation by an intermediary.
- Data intermediary — a broader umbrella term for any organization that sits between data holders and data users to facilitate sharing. A data trust is one specific, legally accountable form of data intermediary; not every intermediary carries fiduciary duties or a trust structure.
Where data trusts are actually used in research
In practice, most data trust initiatives use existing legal vehicles — a registered charity, a community interest company, or a conventional express trust — rather than a bespoke statutory category, since few jurisdictions have enacted “data trust” as a defined legal form in its own right. The Open Data Institute and the Ada Lovelace Institute have been the most active bodies developing and piloting the model in the UK, with exploratory work spanning biomedical/health data sharing, urban and municipal data, and governance frameworks for AI-training corpora. Research-sector interest centres on situations where sensitive or high-value data (patient records, community-contributed data) needs controlled, accountable third-party access for approved research purposes without the data holder losing oversight of how it is used.
References
- Open Data Institute, ‘What is a Data Trust?’ (theodi.org).
- Hardinges J., ‘Defining a Data Trust’, ODI working paper, 2018.
Also known as
Civic data trust
Machine-readable encodings
Use in your systems
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