As infrastructure networks face challenges related to ageing assets, climate impacts and investment needs, the role of data management is becoming increasingly important. The discussion highlights how the availability, quality and interoperability of data can support more effective planning, operation and maintenance of infrastructure throughout its lifecycle.

The analysis identifies fragmented data environments as a common challenge, with information generated during design, construction and operation often remaining within separate systems. This can limit information sharing, reduce operational efficiency and create barriers to coordinated decision-making. Open standards and interoperable data environments are presented as approaches that can facilitate collaboration across sectors, including transport, energy, water and utilities.

The article also examines the potential role of digital twins and artificial intelligence in infrastructure management. When supported by integrated and reliable datasets, these technologies may contribute to asset monitoring, maintenance planning, risk assessment and evidence-based decision-making. Their effectiveness depends on the availability of consistent and accessible data across organisations and project phases.

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