Social value is about people, be that the client, or the general public who happen to live or work close by..
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 need, she says, is a much more mature set of transaction mechanisms.The parts will be interoperable and there will be common interface standards and rules.
If a new, highly energy-efficient product creates local jobs, then we’ll need a clear route to market for that product, as well as a value-based decision about how it’s deployed.At the moment, however, this isn’t really possible, because we don’t have a clear set of rules.
We have too many non-interoperable systems and ecosystems.Our current decisions are based on cost, rather than value and outcomes.