Keith Munro, new Research Data Support Assistant

Hello, my name is Keith Munro and on March 4th 2024 I began my new role as a Research Data Support Assistant. Immediately prior to joining the Research Data Service (RDS), I studied for a PhD in Computer and Information Science at the University of Strathclyde. My thesis studied the information behaviour of hikers on the West Highland Way, see below for a photo of me during data gathering, with a particular focus on embodied information that walkers encountered, the classification of information behaviour in situ and well-being benefits resulting from the activity. I was lucky to present at the Information Seeking In Context conference in Berlin in 2022 and I am still working on getting a number of the findings from my thesis published in the months ahead. I passed my viva on Feb 2nd, so the timing of starting this job has been excellent.

Before my PhD, I studied for a MSc in Information and Library Studies, also from the University of Strathclyde, so there was always a plan to work in the library and information sector, but as my Masters degree was finishing during the outbreak of the Covid-19 pandemic in Spring/Summer 2020, I decided to take an interesting diversion, the scenic route, if you will, with the PhD! My Masters thesis was on the information behaviour of DJ’s, motivated by my own, lucky to do it but not exactly high-profile, experience as a DJ. From this, I was very fortunate to win the International Association of Music Librarians (UK & Ireland branch) E.T. Bryant Memorial Prize, awarded for a significant contribution to the literature in the field of music information. Subsequently, findings from this have been published in the Journal of Documentation and Brio.

Since starting my new role I have been greatly impressed by the team I have joined, who all bring a wealth of experience from across the academic spectrum and have also been very warm in welcoming me and in sharing knowledge. I hope I can bring my study and research experience to complement what the RDS team is doing and I am excited to be learning more about research data management. The size of the University of Edinburgh can be daunting and learning all the acronyms will take some time I suspect, but the range of research I have already encountered in reviewing submissions to DataShare has been fascinating, including Martian rock impacts and horse knees, something I’m sure will continue to be the case!

DataShare awarded CoreTrustSeal trustworthy repository status

CoreTrustSeal has recognised Edinburgh DataShare as a trustworthy repository.

What does this mean for our depositors? It means you can rest assured that we look after your data very carefully, in line with stringent internationally-recognised standards. We have significant resources in place to ensure your dataset remains available to the academic community and the general public at all times. We also have digital preservation expertise and well-planned processes in place, to protect your data from long-term threats. The integrity and reusability of your data are a priority for the Research Data Service.

Book to attend our practical “Archiving your Research Data” course

The certification involves an in-depth evaluation of the resilience of the repository, looking at procedures, infrastructure, staffing, discoverability, digital preservation, metadata standards and disaster recovery. This rigorous process took the team over a year to complete, and prompted a good deal of reflection on the robustness of our repository. We compiled responses to sixteen requirements, a task which I co-ordinated. The finished application contained over ten thousand words, and included important contributions from colleagues in the Digital Library team and from the university Digital Archivist Sara Thomson.

Our CoreTrustSeal application in full   

The CTS is a prestigious accreditation, held by many national organisations such as the National Library of Scotland, the UK’s Centre for Environmental Data Analysis and UniProt. Ours is the first institutional research data repository in the UK to receive the CoreTrustSeal (the Cambridge Crystallographic Data Centre has the CTS but, in contrast to DataShare, is a disciplinary repository which archives data from the international research community).

DataShare is a trustworthy repository, where you as a researcher (staff or student) at the University of Edinburgh can archive your research data free of charge. Bring us your dataset – up to 100 GB(!) – and we will look after it well, to maximise its discoverability and its potential for reuse, both in the immediate term and long beyond the lifetime of your research project.

Edinburgh DataShare

All CTS certified repositories

circular logo bearing a tick mark and the words 'Core Trust Seal'

The Research Data Support team has earned the right to display this CTS logo on the DataShare homepage

Pauline Ward
Research Data Support Assistant
Library & University Collections

Quicker, easier interface for DataVault

We are delighted to report that Edinburgh DataVault now has a quicker and easier process for users. The team have been working hard to overhaul the form for creating a new ‘vault’ to improve the user experience. The changes allow us to gather all the information we need from the user directly through a DataVault web page. The users no longer need to first login to Pure and create a separate dataset record there. Instead, that bit will be automated for them.

I have explained the new process and walked users through the new form in a new and updated how-to video, now combining the getting started information with the demo of how to create a vault:

Get started and create your vault! (8 mins)

The new streamlined process for users is represented and compared to our open research data repository DataShare in this workflow diagram. DataVault is designed for restricted access, but can also handle far larger datasets than DataShare.

The diagram shows the steps users go through in DataShare and DataVault. Common steps are deposit and approval.

The DataVault process includes the gathering of funding information, and review and deletion none of which are present in the DataShare workflow since they would not be relevant to that open research data repository.

The arrow showing DataVault metadata going to the internet represents the copying of selected metadata fields into Pure, where they are accessible as dataset records in the university’s Edinburgh Research Explorer online portal.

Our new course “Archiving Your Research Data”, featuring Sara Thomson, Digital Archivist, provides an introduction to digital preservation for researchers, combined with practical support on how to put digital preservation into practice using the support and systems available here at University of Edinburgh such as the DataVault. For future dates and registration information please see our Workshops page.

A recording of an earlier workshop (before the new interface was released) is also available: Archiving Your Research Data Part 1: Long-term Preservation.

If you are a University of Edinburgh principal investigator, academic, or support professional interested in using the Edinburgh DataVault, please get in touch by emailing data-support@ed.ac.uk.

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

Diverse climate change data in DataShare’s newest thematic collection

‘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