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

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 

DataShare spotlight: History, Classics and Archaeology in DataShare

To celebrate World Digital Preservation Day 2024, this is the first in a series of occasional blog posts which seek to shine a light on some interesting examples of datasets uploaded to DataShare, the University of Edinburgh’s open access data repository.

Research data that is deposited in DataShare comes from across the Colleges and Schools and can relate to cutting-edge scientific research or exploration of under-studied social worlds, however, we also receive valuable historical research data too!

A prime example of this is an item submitted by Professor Charles West, who is based in the School of History, Classics and Archaeology, titled “Autun List of Local Churches, c. 1000”. As neatly described in the title, it contains a list of 144 churches in the diocese of Autun, France, which was made around the year 1000. An example of one of the churches, the Church of Saint Martin in Cordesse, can be seen in the photo below.

Photo of the Church of Saint Martin in Cordesse, France.

According to the item’s description: “The dataset provides the names in the list, the modern place-names, the departement these places are located in, their order in the original list, whether each church is attested in earlier documentation or not, and if so, approximately when.”

The item took on a new life when it was shared on Twitter (now known as X), where a user, William J.B. Mattingly, took the dataset and added latitudinal and longitudinal data to create a mapped visualisation shown in a video. This reuse is documented in the Altmetrics of the item, which details how a DataShare item has been shared or cited. It is also a neat demonstration of how data shared on DataShare can be reused in useful and creative ways!

The DataShare item can be found here: https://doi.org/10.7488/ds/7774

The Tweet with the data visualisation can be found here: https://x.com/wjb_mattingly/status/1813587749905072497

Keith Munro,
Research Data Support Assistant

“Archiving Your Data” – new videos from the Research Data Service

In three new videos released today, researchers from the University of Edinburgh talk about why and how they archive their research data, and the ways in which they make their data openly available using the support, tools and resources provided by the University’s Research Data Service.

Professor Richard Baldock from the MRC Human Genetics Unit explains how he’s been able to preserve important research data relating to developmental biology – and make it available for the long term using Edinburgh DataShare – in a way that was not possible by other means owing to the large amount of histology data produced.

 

Dr Marc Metzger from the School of GeoSciences tells how he saves himself time by making his climate mapping research data openly available so that others can download it for themselves, rather than him having to send out copies in response to requests. This approach represents best practice – making the data openly available is also more convenient for users, removing a potential barrier to the re-use of the data.

Professor Miles Glendinning from Edinburgh College of Art talks about how his architectural photographs of social housing are becoming more discoverable as a result of being shared on Edinburgh DataShare. And Robin Rice, the University’s Data Librarian, discusses the difference between the open (DataShare) and restricted (DataVault) archiving options provided by the Research Data Service.

For more details about Edinburgh’s Research Data Service, including the DataShare and DataVault systems, see:

https://www.ed.ac.uk/is/research-data-service

Pauline Ward
Research Data Service Assistant
Library and University Collections
University of Edinburgh

Managing data: photographs in research

In collaboration with Scholarly Communications, the Data Library participated in the workshop “Data: photographs in research” as part of a series of workshops organised by Dr Tom Allbeson and Dr Ella Chmielewska for the pilot project “Fostering Photographic Research at CHSS” supported by the College of Humanities and Social Science (CHSS) Challenge Investment Fund.

In our research support roles, Theo Andrew and I addressed issues associated with finding and using photographs from repositories, archives and collections, and the challenges of re-using photographs in research publications. Workshop attendants came from a wide range of disciplines, and were at different stages in their research careers.

First, I gave a brief intro on terminology and research data basics, and navigated through media platforms and digital repositories like Jisc Media Hub, VADS, Wellcome Trust, Europeana, Live Art Archive, Flickr Commons, Library of Congress Prints & Photographs Online Catalog (Muybridge http://hdl.loc.gov/loc.pnp/cph.3a45870) – links below.

Eadweard Muybridge. 1878. The Horse in motion. Photograph.

From the Library of Congress Prints and Photographs Online Catalog

Then, Theo presented key concepts of copyright and licensing, which opened up an extensive discussion on what things researchers have to consider when re-using photographs and what institutional support researchers expect to have. Some workshop attendees shared their experience of reusing photographs from collections and archives, and discussed the challenges they face with online publications.

The last presentation tackling the basics of managing photographic research data was not delivered due to time constraints. The presentation was for researchers who produce photographic materials, however, advice on best RDM practice is relevant to any researcher independently of whether they are producing primary data or reusing secondary data. There may be another opportunity to present the remaining slides to CHSS researchers at a future workshop.

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