Beautiful big data
In an information rich culture, its easy to lose sight of meaning in the deluge of datasets, which is why information visualisation techniques are more important than ever.
We've been working with, supporting and advocating projects that grasp the nettle of working with large data sets to bring meaning to chaos, from #docgraph to other Social Network Analysis initiatives here in Australia.
In this page, we want to help shine a light on some of the beautiful work emerging for big data to help make sense of big information sets and how they inform, improve and enhance our decision making capacity. Our interests in HealthCare and population health are going to be reflected in our selection bias. Think of this page as our digital pool room, where only the best-of-the-best make the grade.
Example: Accountable Government
The digital crew at ABC Fact Check have clearly focussed on building a great User Experience in their Promise Tracker that helps a voting population keep track of electoral promises and delivery against those. Whilst this transparency initiative may ultimately prove to be their undoing, it's nevertheless a really clear information visualisation that helps citizens track the accountability of their elected government.
Example: Population shift in migration
The following example from http://qz.com/192440/where-everyone-in-the-world-is-migrating-in-one-gorgeous-chart/ shows population flows in migration. Now imagine if that same graphing technique was applied to interprofessional referrals in primary care - what might be the result? What other uses might you put it to?
Example: Visualising Physician referrals
The following example from http://isurfsoftware.com/blog/2012/12/13/visualizing-geographic-connections-between-us-doctors/ shows at USA scale the interconnections between physicians based on referral data held within a large scale open data set from #docgraph. Imagine if we applied that to Australia, Oceania based datasets, if they were open - what might that look like?