Prepare
Data producers need a usable structure, common terms, clear metadata, and stated limitations. Without that, downstream teams spend time cleaning and reinterpreting the same information instead of using it.
Cross-cutting
How should data move across the GB energy system?
Data sharing is not just a technical integration problem. It depends on how data is prepared, how trust is established, how access is governed, and how organisations can share evidence without losing control of sensitive information. This page brings the GB picture together in practical terms.
Prepare
Structure data so it can be reused
Trust
Apply policy, assurance, and audit
Share
Exchange data through governed access paths
Improve
Use evidence to refine delivery and governance
Prepare, trust, and share is the practical operating model
The most useful way to think about cross-sector data sharing is not as one giant database. It is a sequence. First the data has to be prepared so others can interpret it. Then trust controls decide who can use it and for what purpose. Only then does sharing become safe enough to support planning, operations, and market delivery.
Trust
Trust is created through identity, access policy, evidence, and accountability. That includes knowing who is asking, what they are asking for, why they need it, and how the decision can be reviewed later.
Share
Sharing works best when organisations can expose data products through agreed interfaces rather than forcing every participant into one central system. That supports reuse while preserving local responsibility.
Current direction
Current GB policy material points toward a federated model rather than a single central data lake. That means shared rules, discoverability, and trust controls are becoming as important as the data itself. The aim is to let authorised parties use information more quickly without stripping accountability away from the organisations that hold it.
Which patterns matter most in practice?
The old React DSI and CEDS studies were useful because they surfaced repeatable architecture patterns. For the GB public route, the important move is to translate those patterns into practical questions people actually face inside energy delivery.
Federated data access
Each organisation keeps responsibility for its own information while exposing governed access routes. This is usually more realistic for regulated infrastructure than asking every party to migrate into one shared platform.
Digital-spine style coordination
A digital spine is useful as a shorthand for shared rules, common identifiers, discovery, trust services, and reusable exchange patterns. In GB, the point is not to copy one architecture literally, but to reuse the useful coordination functions.
Data sovereignty
Data producers need to retain control over access conditions, security requirements, and permitted use. That is especially important when data is operationally sensitive, commercially sensitive, or linked to critical infrastructure.
Consent and consumer trust
Where personal or household data is involved, user trust depends on clear purpose, transparent handling, and routes for challenge. Consumer confidence does not come from technical language alone. It comes from being able to explain what data is used and why.
Common semantics
Many delays come from organisations using different terms, identifiers, and data structures for closely related things. Common semantics do not remove every difference, but they make cross-body workflows much more usable.
Operational evidence loops
Data sharing should make delivery decisions easier to trace and improve. That means logging access decisions, learning from disputes, and feeding what is learned back into governance rather than treating policy, architecture, and operations as separate conversations.
Who is responsible for what?
No single body owns every part of energy data sharing. The practical model is coordinated governance: policy sets direction, the regulator shapes expectations, operators and market bodies publish and use data, and delivery organisations provide the technical and operational pathways.
DESNZ
Sets the wider policy direction for digitalisation and system reform. Government responses to the digital spine work are relevant here because they set the intended direction of travel for how common capabilities should be delivered.
Ofgem
Sets regulatory expectations, governance requirements, and the consumer-interest framing. That includes current work on data-sharing governance and expectations on operational data quality and openness where network data is involved.
NESO and delivery bodies
Use and coordinate data for planning and operations. In the current interim model, NESO has a cross-system coordination role for data-sharing infrastructure delivery while wider governance arrangements continue to mature.
| Question | Why it matters | Good delivery looks like |
|---|---|---|
| Can data be discovered quickly? | Planning and operations slow down when teams do not know what exists or who owns it. | Clear catalogues, metadata, named owners, and practical routes to request access. |
| Can access decisions be defended? | Without defensible access rules, sharing either stalls or becomes difficult to trust. | Purpose-based policy, named approvers, time-bounded decisions, and visible audit evidence. |
| Can data be reused across organisations? | One-off integrations create cost and make scale harder. | Reusable interfaces, shared semantics, versioned data contracts, and standard evidence requirements. |
| Can lessons change the governance model? | Programmes drift when disputes and incidents do not feed back into design. | Post-incident reviews, published learnings, and regular governance updates tied to actual operational use. |
Why this matters now
Clean power delivery depends on much more frequent coordination between system planning, network build, settlement reform, smart metering, and local flexibility. The more these programmes interact, the more useful governed data sharing becomes. This is why digitalisation, architecture, and regulation increasingly need to be discussed together rather than as separate workstreams.
Methodology and sources
Last reviewed: 18 March 2026. This page avoids speculative architecture claims and focuses on official direction, practical delivery patterns, and neutral descriptions of current governance.
- Ofgem: NESO to coordinate the delivery of energy data sharing infrastructure. Used for the current interim coordination description.
- Ofgem: Governance of the Data Sharing Infrastructure. Used for governance framing and regulatory direction.
- DESNZ: Government response to the Digital Spine Feasibility Study. Used for the prepare, trust, and share framing and digital-spine style coordination language.
- DESNZ: Digital Spine Feasibility Study summary report. Used for concept definitions and architecture pattern translation.
- Ofgem: Open letter to DNOs on operational data sharing commitments. Used for operational data quality and openness expectations.
- NESO: Sector Digitalisation Plan. Used for cross-system digitalisation context and delivery priorities.
Next route
LTDS basics
See how one concrete GB programme turns common semantics, governed artefacts, and publishable data into something industry can actually use.