Government orders departments to treat data as a strategic asset

The UK government has published a new data asset management policy that will require departments and arm’s length bodies to identify, record and report their most important data assets, marking a significant step in efforts to treat public sector data as critical national infrastructure.

Published by the Government Digital Service (GDS), the policy introduces a cross-government framework designed to improve visibility, ownership and quality of data held across central government. It forms part of a broader push to improve data sharing, support AI adoption and reduce fragmentation between departments.

Under the policy, government departments and their arm’s length bodies will be required to identify data assets, assign ownership responsibilities and centrally report information about those assets. The framework also introduces minimum expectations around data quality, discoverability and interoperability.

GDS said the policy is intended to help government better understand what data it holds, where it is located and how it can be safely reused across the public sector. The move is aimed at addressing long-standing challenges around siloed information, inconsistent standards and limited visibility of valuable datasets across government.

Data as infrastructure

The policy frames data as a strategic asset that should be managed in the same way as other critical public sector infrastructure.

According to the document, better use of data is essential to improving public services, increasing operational efficiency, supporting economic growth and enabling the responsible adoption of AI technologies. It argues that government must move beyond viewing data as a by-product of services and instead recognise it as an asset that requires investment, governance and long-term stewardship.

The policy establishes requirements around data ownership, standards and lifecycle management, with the aim of creating more consistent approaches across departments. GDS said clearer accountability and stronger controls will help improve data quality, support safer sharing and reduce costly duplication of effort.

The initiative builds on earlier work led by the former Central Digital and Data Office (CDDO) to identify what were previously described as Essential Shared Data Assets – datasets considered critical to the delivery of cross-government services and operations. Those efforts were intended to improve discoverability and support future data-sharing initiatives across government.

Supporting AI and data sharing ambitions

A central theme of the new policy is preparing government data for greater reuse and AI-enabled services.

The document states that improving documentation, interoperability and knowledge of data assets will help reduce barriers to data sharing and create new opportunities to combine datasets across organisations. Ministers argue that establishing common standards and clearer governance foundations will be essential if departments are to make greater use of AI while maintaining trust and accountability.

The policy also seeks to strengthen metadata practices, making it easier for departments to catalogue, discover and understand datasets held elsewhere in government. Supporting guidance published alongside the policy sets out how organisations should identify critical data assets, define ownership roles and implement data quality improvement plans.

For digital, data and technology leaders across government, the policy signals a growing expectation that data management will become a core operational responsibility rather than a specialist function.

A foundation for cross-government reform

Recent guidance from GDS has focused on data ownership, metadata standards and data quality frameworks, with the goal of creating a more consistent approach to managing information across the public sector. Officials argue that stronger foundations are needed if government is to deliver more joined-up services, support evidence-based policymaking and unlock value from emerging technologies.

The policy also reflects a broader shift in government thinking around data governance, with increasing emphasis on treating information as a strategic asset that underpins service delivery, operational resilience and future AI capabilities.