Author Archives: kmunro

DataShare spotlight: Debates on slavery and abolition held by student debating societies at the University of Edinburgh, 1765-1870

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The best part of my job is looking through the new datasets submitted to DataShare, our open-access data repository. One of the first datasets that gripped me was; Debates on slavery and abolition held by student debating societies at the University of Edinburgh, 1765-1870.

This dataset is really cool because as well as being a valuable resource for future research projects, it’s extremely interesting to read, even as someone who doesn’t know anything about historical research. This readability is what makes humanities dataset submissions so fun to process.

This dataset summarises debates on chattel slavery and abolition by two of the University’s debating societies during roughly the last hundred official years of the Transatlantic slave trade. It includes motions and outcomes of the debates, as well as information about the people participating and the positions they took.

It’s easy to tell ourselves that people in the past caused unimaginable harm because they didn’t know any better. Maybe this impulse is a form of self-preservation, a way to deny our ancestors’ agency to protect them – and ourselves – from blame. The dataset reminds us that even at the height of the slave trade there were many people publicly voicing their opposition. The data give us some insight into how these men understood their own complicity in slavery and their responsibility in upholding or abolishing it.

It’s interesting to see, for example, that some debate outcomes were pro-abolition, but against immediate abolition. Or how a debate on whether it would be sound policy to abolish the African slave trade had a unanimously pro-abolition outcome in 1792, yet full emancipation didn’t come for over forty years.

Sample from table of data

A preview of ‘University of Edinburgh Dialectic Society debates on slavery and abolition, 1792-1870’. From Buck, Simon; Frith, Nicola; Curry, Tommy. (2024). Debates on slavery and abolition held by student debating societies at the University of Edinburgh, 1765-1870 [text]. University of Edinburgh. Institute for Advanced Studies in the Humanities. https://doi.org/10.7488/ds/7841.

The dataset comes from The Decolonised Transformations Project which aims to take a critical look at the University’s complicity and investment in slavery and colonialism, confront the legacies of these choices, and make concrete recommendations to address present-day structural racism. The project is a great example of how Humanities research can be translated into a wide array of resources to maximise its utility and reach. As well as traditional outputs like publications and reports, the research team has published datasets, done podcasts, and held workshops and talks for the wider community.

Decolonised Transformations – Confronting the University’s Legacies of Slavery and Colonialism

The datasets have been downloaded multiple times since they were shared in November, so I’m sure other people are finding this data as interesting as I am.

Evelyn Williams
Research Data Support Assistant

DataShare spotlight: Human MotionLess Dataset (HuMoLs) and the creative potential of research data

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For the second installment of the spotlight on DataShare blog posts, I would like to showcase a fascinating item containing videos of people not doing anything!

The dataset in question is titled “Human MotionLess Dataset (HuMoLs)” and was created by researchers Longfei Chan, Muhammad Ahmed Raza and Robert Fisher, who are based in the School of Informatics’ Institute of Perception Action and Behaviour. While on the face of it, people being still might not seem very dynamic, the research behind this dataset is trying to solve a difficult problem with a very useful outcome. Simply put, how do you tell when someone is lying still because they are doing something like sleeping, or if it is because they are unwell or have fallen? The videos in this dataset aim to try and train healthcare monitoring systems to help determine whether it is the former or the latter of these possibilities, with the priority being to uncover any critical medical conditions or to analyse chronic conditions.

A selection of still images taken from the videos in the dataset.

What struck me while reviewing the videos for submission was that beyond the usefulness of these videos to the research project, there was the potential for them to be adapted creatively. The videos have a deliberately “uncanny valley” aspect, due to using AI to deepfake participant’s faces in order to preserve their anonymity. The amusingly odd character to the videos made me imagine them being used in an Adam Curtis documentary, or in an Aphex Twin music video. Possibly even in an Adam Curtis documentary with Aphex Twin music over the top of it.

This raises the fascinating idea that there are rich sources of research data stored in open access repositories that could have a life beyond being reproducible, but could also be reused, repurposed and remixed into creative new pieces, adding value to both the research itself, and to the repositories where the affiliated data is stored. To demonstrate this possibility, I have edited some of the videos together, see below, and set them to music. The piece of music, “Redolescence” by Other Lands, has a dreamlike quality to it which both complements and recontextualises the videos into something beyond their originally intended use.

What other audio and visual materials are there contained in research data repositories waiting to be repurposed in a creative manner? Time (and much more talented creators than me) will tell!

The full dataset can be found on DataShare: Human MotionLess Dataset (HuMoLs)

The paper which the dataset supports: OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare

Permission to use the music featured in this video was kindly granted by Gavin Sutherland, performing here under his artist name of Other Lands. The album which contains this track can be purchased on Bandcamp: Other Lands – Riddle of the Mode 

Outstanding Library Team of the Year – Times Higher Education Awards 2024

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This is a guest blog post written by Dominic Tate, Associate Director, Head of Library Research Support

The University of Edinburgh’s Library Research Support Team, of which the Research Data Service is part of, won the ‘Outstanding Library Team of the Year’ category at the Times Higher Education Awards 2024 in Birmingham on 28th November. The team plays a central role in the institution’s transition to open research, with the impact of its work spreading far beyond the Scottish capital. The team created and implemented a UK-first rights retention policy, enabling scholarly work to be published in an open-access format while the authors retain the rights to their work.

Members of the Library Research Support team receiving their award on stage.

Across the UK, 30 other universities have since followed Edinburgh’s lead, and the library team has also presented its work in India, Switzerland and the Netherlands. The team has already saved its university more than £10,000, with hundreds of thousands in savings anticipated in the years to come and millions expected across the broader university sector.

The library team’s new Citizen Science and Participatory Research Service, meanwhile, aims to boost public trust in science while facilitating research that depends on lived experience. By providing library spaces to researchers and community groups, the service enables collaborations on research projects, while the public can also access heritage collections and other library resources. The team endeavours to connect researchers with the communities around them, helping them answer research questions of public concern.

Members of the Library Research Support team standing with the award.The judges applauded the Edinburgh library team’s initiative, commending its efforts to “share its experience with the wider sector” alongside its “emphasis on community access”. Its work, they said, “demonstrated a collaborative approach between the library research support team, academic and professional services staff, students and the local community that is scalable to other parts of the sector”.

You can read an e-book profiling all the winners.

Protocols.io Update

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Our Open Research Coordinator, Kerry Miller, has written the following update to users of the protocols.io platform at the University of Edinburgh. While this relates directly to researchers at the University of Edinburgh, the issues raised neatly highlight the challenges and barriers that open research still faces more broadly.

Edinburgh Open Research logo

On the 31st December 2024 our subscription to protocols.io will end and we have taken the difficult decision not to renew it. The reason for this is that in 2023 the company that developed protocols.io sold it to the academic publisher Springer Nature and they have decided to impose an increase in subscription cost of over 700% for 2025. Until now the subscription costs have been met from library budgets, if we continued the subscription we would need to start recouping costs directly from users and these would be somewhere in the region of £250-300 per person for 2025.

We have carefully evaluated how protocols.io is being used by staff and students and we do not feel that we can justify spending so much more for membership of this platform or that the majority of current users would be willing or able to meet the costs from their current grants. We realise that this will be disappointing and inconvenient for researchers and the Research Data Service team is here to help. If you have any questions about how this change will impact you please read the FAQ and if that does not answer all of your questions, or you would like support moving to another platform please email us using data-support@ed.ac.uk.

You can find out more on our protocols.io page https://library.ed.ac.uk/research-support/research-data-service/during/open-research-tools/protocols