You don’t need a Tardis to understand multi-dimensional data
Last week saw us hold our 3rd plenary meeting for the OpenGovIntelligence project, an ambitious project to help data-drive decision making in government at both local and national levels.
We’d decided to hold our meeting in Guimarães, Portugal, to coincide with this years eGov and epart(icipation) conferences which were being held at the beautiful University of Minho.
One large and important strand of this project seeks to encourage the adoption of multidimensional data as a means of recording, indexing, navigating, finding and understanding the data Government’s collect, and then using that knowledge for more informed decision making.
Perhaps the biggest part of this challenge is convincing people that you don’t need to be an astrophysicist or time-lord to understand multi-dimensional data. Thankfully, the recent success of the Olympic Games in Rio, presented us with a perfect opportunity explain the concept of multi-dimensional data, and outline our work in the project to further support Data Cube’s in the design and provision of government services.
If you weren’t at the conference and would like to understand multi-dimensional data too, you’re in luck, because this presentation was based upon an introduction to Data Cubes written on Swirrl’s blog.
