Data Analysis

Free places available on online data skills workshops

Data Carpentry is running a series of two-day online courses on data skills for beginners, for learners in Scotland or working for Scottish employers (see full criteria below).

Brexit Data Challenge part 2: presentation at GISRUK

By Reka Solymosi, University of Manchester. After our Brexit Data Challenge Hackathon our paper got shortlisted to be presented at the 2018 GISRUK conference. While I was unable to attend, two members of the hackathon team, Heather Robinson and Sam Langton went to represent our group. This is a guest blog of sorts by them on their experience on presenting our paper and the event in general.

Brexit Data Challenge event

By Reka Solymosi, University of Manchester.

Empowering and engaging patients in the digital era

By Gary Leeming, University of Manchester.

Researchfish®: what can it tell us about software in research?

Researchfish® allows researchers to record the impact of their research outside of the standard metric of how many papers I have written. These outcomes, as they are called, cover publications, but also collaborations, events, awards and other metrics including - and of most interest to me - software.

Quick and dirty analysis of the software being used in research: Python, Matlab and R

Over the last couple of years, we’ve had occasion to ask people about the software they use in their research. We’re about to start a long-running survey to collect this information properly, but I thought it might be fun to take a rough look at the data we’ve collected from a few different surveys.

Scientific Data Analysis with Java: DAWN

By Steve Crouch, Devasena Inupakutika, Alun Ashton, Mark Basham and Matthew Gerring

Scientific projects are often created as stand alone applications which use their own definitions for algorithms and visualisation tools. This makes it difficult to benefit from other people's work. The DAWN Science project allowed a large group of scientific developers and software engineers to  collaborate by developing a single, general purpose API to allow access and sharing of existing algorithms and visualisation tools. This significantly accelerates the development of new…

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