Thanks for your question. You can find technical details and examples in this document. For a bit more general descriptions see Hat Briefing Paper 4.
So once our personal data is collected in our HATs, we can contextualise it in a way that makes sense to us using the 5 categories (Data Tables):
People - yourself and the people you interact with
Things - what you use or interact with, especially those IoT devices; Things represent both virtual and physical objects
Events - what happens to you or what you do in time
Locations - where is the stuff around you happening
Organisations - what organisations or institutions activities relate to
A connected home, for example, where a sensor measures when a door is opened or closed, could be modelled as a Thing, as well as someone’s Google Calendar with several Events linked to them. The 5 Tables interconnect through a series of cross-reference Tables, where an Event can link to several People, Organisations, Locations, and Things and a Person can link to several Events, Organisations, Locations, and Things, and so on. This is flexible system that allows users to fully model their existing data sets. For example, someone could model a meeting they had in Meeting Space 2 as a connection between an Event with a start time and an end time, the individuals involved as People, and Meeting Space 2 itself as a Location.
The HAT enables us to transform our previously collected data into 5 Entities: Person (Who), Thing (What), Event (When), Location (Where), and Organisation (Where/with Whom), so that we could describe how we live – When and Where an Event took place, What things and Data are involved with Who (and potentially Why) by putting them (Who/When/Where/What) into a Bundle.
Bundles of contextual data are sets of entities (people, things, events, locations and organisations) and their properties that a HAT owner has chosen to combine together for potentially sharing with others through the Direct Data Debit system. The HAT’s Direct Data Debit (D3) system works like a direct debit in a bank: we can decide exactly what Data to share, for how long, to whom such data may be exchanged, and what return may be offered in the exchange: any Data that belongs to the HAT User can be bundled and shared from any Collection or directly from Source Data (e.g. Facebook), either at the level of individual Properties or entire Collections of Data.
Hope this helps!