Category Archives: Data Science

New Data Visualisation Intern

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It’s often said that the best way to achieve your goals is to visualise success. But what if visualisation is your goal? Then get someone clever to do it for you. That’s what we did: hired a new Data Visualisation Intern.

Henry standing on platform with natural scenery (Sidney area)

Henry Sun has joined Research Data Support for the summer to work on our Data Dashboard project. Henry is about to start his 4th year as an undergraduate, studying electronics and computer science. That’s right, he’s doing 2 degrees: our very own Henry Beauclerc. Henry also came to us with previous experience of laboratory research. Impressed? Us too, very.

Just how Henry manages to find time for anything else is a little baffling. But find it he does and with it, among other things, he watches superhero movies – Marvel for preference, obviously. And he cooks: Henry tells us that he already has special skills in Asian, especially Chinese cuisine, and now he’s learning how to bake. You can imagine how popular he’s going to be when his colleagues find out.

This internship is Henry’s first time in a professional services role and that role is to develop a dashboard that will enable us to monitor and to understand all the Open Research activity that goes on at the University of Edinburgh. Primarily, that means tracking down a range of internal and external data sources and figuring out a way to tie them all together and visualise them. And if that’s not enough, we’re hoping that Henry will be able to predict the future, or at least come up with some ideas for ongoing development of the dashboard. Exciting stuff, right? Right.

And what do we plan to do with this shiny new box of numbers? Management teams will want have a look, of course. We in Research Data Support are expecting to get a clearer and more detailed picture of the data management situation across the University: good practice, bad practice, and no practice at all. Knowing all that, especially the last two, will enable us to focus on the areas where we’re needed most. It will also be useful for our three Colleges – Arts, Humanities & Social Sciences, Science & Engineering, and Medicine & Veterinary Medicine – to see what kind of Open Research their researchers are producing. And speaking of Open Research, we’re aiming to make at least some of this data – headline numbers, etc. – available to the public via our website. It will be nice to show off all the hard work that’s going on in Open Research at Edinburgh as well as all the hard work Henry is doing for us.

Simon Smith
Research Data Support Officer
Library & University Collections

Diverse climate change data in DataShare’s newest thematic collection

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‘Code red for humanity’ was the galvanising message of the sixth report of the Intergovernmental Panel on Climate Change published on 9 August. The report draws on thousands of academic research projects. Research data is vital to understanding the nature and scale of the challenge of climate change, and the necessary deployment and application of solutions.

We decided to draw together the datasets relating to climate change to showcase them on a single Collection page on Edinburgh DataShare, our research data repository. In part this was prompted by a new deposit from Oliver Escobar in the School of Social and Political Science – data from citizens’ assemblies debating wind farms. Our DSpace repository allows us to ‘map’ an Item to Collections other than the one to which it belongs, resulting in the dataset being listed in more than one Collection. Edinburgh DataShare contains a wealth of research datasets from an extremely diverse array of academic disciplines, reflecting the strengths of the University of Edinburgh, and so it is with our climate change research:

Climate Change Collection

We added many datasets from our School of Geosciences: one dataset from Ian Goddard and Professor Simon Tett demonstrated how urbanisation has affected temperatures in the UK, and includes a map showing heat islands around our major cities. Professor Tett said:

“To truly understand how climate change might impact society we need to bring together many datasets developed by many researchers so that other researchers can use them for their own studies. DataShare enables this.”

Goddard, Ian; Tett, Simon. (2018). “Software and data used in the study ‘How much has urbanisation affected temperatures in the United Kingdom'”, 1990-2017 [software]. University of Edinburgh. https://doi.org/10.7488/ds/2370.

Climatological data and toolkits for public engagement around climate and natural resources came from Professor Marc Metzger – including various kinds of maps, a board game and posters showing natural resources.

One dataset was a description of an artwork, a quilt representing global temperature measurements. Posters on the wall show the years, so as to provide a time axis for the temperature data represented in the colours of the patches in the quilt:

Photo of quilt hanging on the wall of an exhibition space

World temperature quilt on display at the Data-X exhibition

Zaenker, Julia; Vladis, Nathalie. (2017). Feel The Heat – A World Temperature Data Quilt, [image]. University of Edinburgh. EDINA. https://doi.org/10.7488/ds/1998.

Another theme was renewable energy – we included data from our School of Engineering on tidal turbines, and recent wave buoy experimental data:
The big 3-0-0-0: DataShare reaches three thousand datasets

All this raises the question – why bring these data together, what for? Do the datasets measuring and defining the problem really belong with the research working on technology to reduce greenhouse gas emissions? To answer this, I think the analogy of our other thematic collection on Covid-19 is apt. To develop and implement effective treatments and public health responses to Covid-19, we do need to understand a great deal about the cause, the pathogen and the pathology it creates. We should strive to break down barriers between domains of knowledge. So yes, to tackle climate change more effectively, we should all seek to better understand the underlying processes and the behavioural and technological solutions we must employ.

By bringing together research data from diverse teams in a single DataShare Collection, we empower the user to browse those datasets using the ‘facets’ feature in DataShare, or indeed a text search within the Collection. The user can filter by geography, by data creator’s name, by keyword, funder (see the screenshot below) or they can choose their own search term. When they reach an individual dataset, the breadcrumb trail at the top of the page can lead them into the original Collection where the dataset was first deposited, leading them to other work from the same research group, centre or School. This is one small way for the curation team to enhance the findability of the data. Scientists tell us there are challenges posed by the plethora of formats and programming languages used, even within disciplines. We hope that by making the connections and common themes between these different strands of research from different disciplines more visible, we make the data more findable, and perhaps hope to inspire new research questions or approaches.

a screenshot from the Collection page

DataShare’s facets

A word about DataShare’s structure: we find our depositors prefer to place their data in a Collection that reflects the organisational placement of their research group – typically the Collection represents the research group, and sits within a Community representing a research centre, sitting within a Community representing a School, sitting within a top-level Community representing a College:
DataShare structure

If you would like to suggest a theme for a new thematic Collection on DataShare, please contact the Research Data Support team:
Research Data Service | Contact

The RDS team, like all the University of Edinburgh’s teams, has a remit to address climate change as the university is committed to contributing to the UN’s Sustainable Development Goals, including no. 13 “Take urgent action to combat climate change and its impacts”:
Social Responsibility and Sustainability | The University of Edinburgh

We can all learn more about how we can take that urgent action effectively on the university’s amazing and inspiring “Climate Solutions” MOOC, available on edX:
Climate Solutions | edX 

I recommend anyone to take this course – it is free of charge, it’s fun, it is easy to fit around other commitments. I’ve nearly completed the coursework and already passed thanks to my quiz scores, got my nice PDF certificate signed by Professor Dave Reay. The Climate Solutions MOOC inspired me to create the Climate Change thematic Collection and it has really opened my eyes to the scale and nature of the challenge, and many actions we all need to take to contribute to halting the rise in global temperatures. Everyone has their part to play.

Pauline Ward
Research Data Support Assistant
Library & University Collections
University of Edinburgh