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Using construction technology in this way facilitates benefits like on the day sign-off, with confirmation that the correct tonnage has been installed.

The first is that someone might not be sure whether the data they’re looking for even exists, and the second involves the requirements under which the data was gathered.It’s important to understand any inconsistencies there might be in the collection of data, because without understanding those types of quirks and failings, it’s hard to know how useful the data might be.

Additionally, the further the data gets from its intended use, the less useful it is.This is why digitising planning makes quite a good use case because, in theory, it’s a linear process..The next issue with data is governance, and the question of whether someone is allowed to share particular data.

Here we see issues like cybersecurity and GDPR coming into play, presenting a list of complex and expensive regulations to navigate.Finally, there’s the issue of transacting data.

While on the one hand someone might worry about opening themselves up to liability by providing data, they might also be wary of someone else using their data to achieve financial gain, and missing out on the opportunity themselves.

Sharp says the situation has led to a nervousness and immaturity surrounding data, resulting in a tendency to either refuse to share data, or a lack of control for the end user.What we’re really aiming for though, is a future state where we’re able to understand and measure and digitise the actual performance of built assets.

At that stage, we’ll be able to use the data to create insights beyond one particular project.Instead, the data will help us understand network and system level impacts.

We’ll be able to evaluate specifically how an energy project, a transport project, a school and a housing scheme interact.Digital twins and federated digital twins will enable us to understand how things are actively performing..