Tag Archives: open data

Edinburgh Open Research Conference 2024

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This is a guest blog post from Emma Wilson, Emma is a final year PhD student in the Centre for Clinical Brain Sciences. She is currently interning with the Library Open Research Team.

On 29th May 2024, we held the third annual Edinburgh Open Research Conference online and in person at the John McIntyre Conference Centre. Over 300 people attended the hybrid event, from Edinburgh and further afield, to listen to a jam-packed programme of talks and posters on all things open research.

This year’s theme was culture change, and thinking about how open research principles can steer us towards healthy and inclusive research environments.

Panel host Dominic and panel speakers Rowena, Nick, Katie, and Malcolm sit on a stage in front of the conference audience

Plenary panel – photo credit: Eugen Stoica

The events kicked off with a plenary panel featuring Nick Wise (University of Cambridge), Rowena Lamb, Malcolm Macleod, and Katie Nicoll Baines (all University of Edinburgh) discussing the ways in which we can drive healthy and sustainable culture change and how this applies in the context of open research.

Marisa de Andrade delivering her keynote

Marisa de Andrade delivering her keynote – photo credit: Eugen Stoica

Presentations and lightning talks touched on the topics of education and skills, research culture change, and next generation metrics. We heard from a diverse range of perspectives including technicians, researchers in both STEM and the humanities, and professional services staff. Equality, diversity, and inclusion (EDI) was a strong theme running throughout each of the presentations.

The keynote lecture was delivered by Marisa de Andrade on ‘The Madness of Metrics and Possibilities of Pause in Open Research’, which offered perspective on research metrics, what they really mean, and what really matters.

Maria Juliana Rodriguez Cubillos presenting her poster during the drinks reception

Poster session – Photo credit: Eugen Stoica

Following a busy day, the conference closed with a drinks reception and posters. Each presenter gave a quick-fire summary of their poster in a round of ‘Minute Madness’.

We want to thank everyone who attended the conference, our fantastic presenters, and of course our organisers Kerry Miller and Nel Coleman for making the day enjoyable and insightful. And if you missed it, be sure to come along next year!

Stay up to date on open research activities and future conference announcements by signing up to the Edinburgh Open Research Newsletter and joining our Edinburgh Open Research Initiative Microsoft Teams group.

Edinburgh Open Research Conference 2024

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Join us on May 29th for the 2024 edition of the Open Research Conference. This year we are addressing the big challenge: culture change. It is not simply enough to facilitate open access and FAIR Data. We need to embed all aspects of Open Research into our everyday practices.

Join us to consider the broad themes of culture change, along with the role of next generation metrics, education, training and skills development in this process. We will also look to other contexts in which positive shifts in culture are actively taking place: EDI, healthy working lives, and research integrity. We ask what we can learn from these contexts, and how can we collaborate to make a more equitable and open research environment?

In addition to talks on the themes of research integrity, next generation metrics, and open research education & skills, there will be rapid-fire lightning talks, a poster session, and drinks reception along with plenty of opportunities to expand your network.

Registration for in-person attendance closes on May 19th and for online it’s May 24th, full details of the conference have been published.

If you would like to keep up with Open Research news, please sign up for the newsletter, and you can also follow Edinburgh Open Research on EventBrite to find out about our future events.

We look forward to welcoming you to the conference!

Kerry Miller,
Research Data Support Officer & Open Research Coordinator

 

Coming full circle

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The ins, outs and upside downs of Digital Research Services and lessons learned in the process.

I’ve spent the past three months working as a Researcher-in-Residence for Digital Research Services (DRS) at the University of Edinburgh, marking a transition from the completion of my PhD in which I stumbled my way through digital techniques, to the next exciting step in my career pathway as a training fellow for the Centre of Data, Culture and Society. This progression was greatly assisted by the experiences I acquired during my time with DRS, brief though it was. In particular, through reflection, awareness and facilitation of digital services and the research lifecycle in general, I developed a greater understanding of what digital research can offer, but also the roadblocks we’re slowly overcoming to get everyone there.

I came into this role as an emerging scholar in digital humanities, still getting to grips with the possibilities out there and slowly recognising the value the digital world harbours – a value I had previously dismissed or simply wasn’t aware of during my undergraduate studies. It is of course very easy to stand safely on solid ground, and reject the gleaming digital world over on the other side. Yet, over the weeks I’ve spent with DRS, I’ve seen various toolkits and techniques come past that could have been so useful, if I’d only known or gone looking for them. More than once, I’ve had a ‘wait, you can do that?’ moment when investigating different options available to the academic community. We are very fortunate to have so many amazing resources available right at our fingertips, thanks to the wide range of services the University provides access to, and I can strongly encourage anyone pondering the choice to go digital to give it a try! After all, there’s nothing to lose, and in the process you might discover that there are more effective ways to share your data with others (i.e. DataShare), safer and more secure ways to store and archive it (e.g. DataStore or DataVault), and faster and more reliable methods to analyse it that won’t destroy your personal device (meet Eddie or Eleanor some time).

This however alludes to the second major realisation I acquired, which is the importance of outreach and engagement to bring researchers over to the digital side. There’s no escaping the fact that researchers won’t go looking for digital assistance if they’re unaware that it’s available in the first place. This has been a major part of my role over the summer, and I’ve come to appreciate just how difficult this is within an organisation that is as multi-layered, complex and vast as the University service support system. Not only do we want to highlight our services to the target users themselves, but we also want to facilitate beneficial bridges between various organisational teams within the University network and DRS. Yet incorporating our events, trainings and seminars into their training centres, Learn pages and SharePoint sites is no small task! Nonetheless, by doing so we can provide the missing links or training that research communities are seeking, and augment pre-existing frameworks to develop a more holistic programme, that addresses needs across the diverse spectrum of applied research. This goal has been gaining traction, so watch this space (or rather, your inboxes) for more information in the coming academic year.

Finally, the third major insight I acquired concerned the current lack of digital equity within the research community. There is a certain reluctance that particular research communities or individuals have towards digital techniques. Yet, why people would avoid using tools that could make their research easier, faster, replicable and more statistically powerful? After all, despite the higher risk, most of us would opt for motorised transport these days rather than a horse and cart. Through cross-disciplinary discussions and peer-to-peer feedback, it became clear this reluctance didn’t stem from dislike or disinterest, but rather a lack of the right skillset and knowledge to approach digital tools. I myself was fortunate to have had enough of a digital background to take the necessary steps for my own PhD project, as some of the foundational stepping-stones had already been laid for me. For those coming from zero however, this is not so much a step as a leap of faith, and nobody likes ending up stuck in the mud. Adequate information and tailored training that speaks to these concerns, introduces researchers to the tools available, and guides them through digital services is a keystone in our aim to create a ‘DRS for everyone’. This will also be reflected in the calendar of DRS events for the upcoming academic year, and if you’re curious or keen to develop your digital skillset, then make sure to check out our webpage, and social media (X and LinkedIn) for updates and information about these events.

And so finishes my three months with DRS. A great opportunity to bring a little more attention to this fantastic service within the University, a chance to help other academics push their research into new territory, and a catalyst for changing the way I will approach research in the future. In the process, I can only hope this position has facilitated a few more bridges between various CAHSS communities within the University and the world of digital research on the other side. Hopefully, with time there will be fewer wet socks and more digital successes in the future.

Sarah Van Eyndhoven
Researcher-in-Residence
Digital Research Services

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