Game-changing news – data modeling is now included in the Haystack tagging standard

Project Haystack is an established open source initiative whose mission is to provide the building automation industry and related IoT applications with a standardized way of defining the context and meaning of building related data. This standard is already used by many companies around the world (on more than 30,000 sites) because it makes integration and cross domain data sharing much easier and therefore less expensive.  Historically each building project is configured differently which make it hard for data to be exchanged and analysed. Use of Haystack tagging transforms the situation; data is now shared with its full context and can therefore be abstracted and processed by analytics applications automatically.

In March this year Project Haystack announced the public review Haystack 4.0, adds data-modeling features that support the implementation of both a taxonomy and the resulting ontologies that define the relationship of things and between things. This is a game-changer – previously some organizations had been looking at Brick and other data modeling schemas because, whilst Haystack has done a great job of defining all the metadata, there is in some cases a requirement to also structure the data to facilitate use across multiple domains, which would otherwise employ differing data models. The Brick approach lacks the tagging definitions provided by Haystack but does provide a standard way to structuring the data in the building. Now Haystack gives you that too.

So why does any of this matter? If a project is specified with a common data schema that can represent all the critical aspects of the building - the people, places, and assets, and the relationships between then the sharing of data between domains becomes straightforward and enables data from one system to be used to enhance the functionality of others, and potentially enable whole new applications, making the building smarter. 

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