19 July 2016

Research Data Things 16/23 - Publisher and Funder Perspectives

In this thing we are asked to look up a journal to find out what's policy is in relation to research data.

I looked up the Australian Library Journal as it is one I have an article published in, and I didn't remember anything about data publishing recommendations at the time...

10 July 2016

Research Data Things 15/23 - Data Management Plans

I'm a bit behind my schedule as I took a detour to do a data visualisation course, but time to get back to 23 Research Data Things. This week will be brief on my part as I have created a data management plan for this project:

Abbott, W., Donaghey, J., Hare, J. Hopkins, P. (2013). The Perfect Storm: the convergence of social, mobile and photo technologies in Libraries. Presented at: VALA: Streaming with possibilities. Melbourne, Australia; 3-6th February, 2014.
Presentation (prezi)

I think it's important to develop a plan with key members of a project team, rather than leave it to one person. The act of talking through the details leads to a shared understanding from early on and saves time and re-occuring questions about where is that data again? How is it organised? and more.

5 July 2016

Data Visualisation and Florence Nightingale

A great woman in statistics (yes, not just nursing), Florence Nightingale did great work visualising data about causes of death during the Crimean War. Her work communicating this led to changes in how hospitals were managed to ensure cleanliness and reducing preventable deaths.

I've finished the online course (Big Data: Data Visualisation) and have come to the realisation that if I ever need 3D interactive web graphic visualisations I'll be commissioning someone with the requisite skillz. However there are software with user friendly interfaces that will suffice for most needs. The course looked at design principles and offered hands-on experience with Tableau, Matlab and D3 javascript.

Someone has kindly updated Nightingale's coxcombs (rose diagrams) into interactive visualisations and provided some different designs for comparison.

3 July 2016

Data visualisation course

I've just started the second and final week of BIG DATA: DATA VISUALISATION course through Future Learn. It's a free online course and I get to try some new software for creating graphs and other visualisations. Last week was mostly theory looking at design, user needs some historical background and lots of examples to critique.

There is a lot of theory about big data and sophisticated techniques, but of course when introducing a new piece of software it's best to try something simple.

So here is what I produced with Matlab.

I'm not sure what is in the next activity of the course so maybe there will be some enhancements to this. Anyway I'd like if the numbers were actually the names of months.

For something this simple Excel is certainly up to the challenge and I'd venture to say easier to use than Matlab, but then again I have been making charts and pivot tables in Excel for years and only just tried Matlab for the first time yesterday - so I'm not sure about how quickly a complete newbie would take with MS Excel. But lots of command line use in Matlab.