Data

By Andy South, Software Sustainability Institute Fellow. Training people to use software is not straightforward. I imagine most of us can remember courses that have gone well and not so well. I’m going to make a couple of suggestions for things to consider when developing software training based upon our recent experience.
By Martin Donnelly, University of Edinburgh. Late last month, I took a day trip to the Netherlands to attend an event at TU Delft entitled “Towards cultural change in data management – data stewardship in practice”. My Software Sustainability Institute Fellowship application “pitch” last year had been based around building bridges and sharing strategies and lessons between advocacy approaches for data and software management, and encouraging more holistic approaches to managing (and simply thinking about) research outputs in general. When I signed up for the event I expected it to focus…

The Research Data Visualisation Workshop will take place on July 28th, 2016 at the University of Manchester. If you create data visualisations and plan to visualise new data sets or would like to know about data visualisation toolings and uses then this is the workshop for you. We will bring together a small but focused group of people to show the state of the art in data visualisation practices and tools in different areas and provide help for you to create your own visualisations during the hands-on session.

By Neil Chue Hong, Director.

This guide explains how software fits with the EPSRC policy framework for research data.

A big thank you for the guidance and support of our steering and organising committees:

For this hands-on session, please install the following on your laptop:

Web browser

The last version available of Chrome, Firefox, or Safari (if you are using Mac OS X).

Note: MATLAB licenses will not be provided,

For this hands-on session, please the following on your laptop:

MATLAB

The MATLAB platform is optimised for solving engineering and scientific problems. 

For this hands-on session, please install the following on your laptop:

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

For this hands-on session, please install the following on your laptop:

Web browser

The last version available of Chrome, Firefox, or Safari (if you are using Mac OS X).

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