Community of Edinburgh Research Software Engineers (CERSE): Reflections on the 7th meeting

In this blog Dr Eleni Kotoula, Lead Research Facilitator at the University of Edinburgh, writes about the CERSE and their most recent event.

What is CERSE?

CERSE is a community like no other! It offers an excellent opportunity for Research Software Engineers  (RSE) to get support and recognition for their work. In addition to Research Software Engineers, the CERSE welcomes those interested in the development, use, support or management of research software. Hence, researchers, research support and research data professionals can get involved, expand their network and broaden their understanding of research software engineering. To find out more, have a look at the CERSE Meeting Handbook.

A summary of CERSE’s 7th meeting

Members of the CERSE community across Edinburgh came together earlier this month in the Bayes Centre for the first post-pandemic meeting. After a long break from activities, the organisers from the University of Edinburgh Digital Research Services, EPCC, Sofware Sustainability Institute and the Centre of Data, Culture and Society were keen to resurrect meetings.

Mario Antonioletti opened the meeting, briefly referring to the RSE movement and its previous meetings in Edinburgh. Mike Wallis, Research Services Lead at the University of Edinburgh, gave an overview of the Edinburgh Compute and Data Facility, highlighting data storage, cloud and high performance computing services. Andrew Horne provided an update on EDINA’s ongoing project for the development of Automatic Systematic Reviews. Then, Mario Antonioletti presented EPCC and services such as Archer2 and Cirrus, as well as the important work of the Software Sustainability Institute. After the short talks, Felicity Anderson, PhD candidate in Informatics and Software Sustainability Institute Fellow, led an ice-breaking activity, followed by a networking session. All presentations are available here.

Next steps

The CERSE community has the potential to grow and flourish in a region so rich in research-intensive institutions and academic excellence. We aim to continue by alternating face-to-face and virtual meetings monthly. To do so, we need active participation from those interested in the RSE community. There are different ways to get involved; attending meetings, talking about your relevant work or volunteering to help organize one of the following meetings. For us in Digital Research Facilitation, CERSE offers the opportunity to meet and connect with researchers, RSEs, IT and research support staff. Moreover, we share the same passion for best practices in data-intensive and computational research. That’s why we have been heavily involved in supporting this community in practice and strongly encourage those interested to join us. We are looking forward to meeting you in one of the following CERSE meetings, either in person or online.

How to get involved?

Join the Joint Information Systems Committee (JISC) mailing list: http://www.jiscmail.ac.uk/ed-rse-community

Follow the CERSE on Twitter: https://twitter.com/cerse7

Join the RSE: https://society-rse.org/join-us/

Dr Eleni Kotoula
Digital Research Facilitation

New Research Data Stewards in post

Very soon we will sadly say goodbye to Gina Geffers, who, along with Sam Hillman, have become our first Research Data Steward veterans. But we are very pleased to welcome two new stewards to the team this winter, Adam Threlfall and Yue Gu!

Adam Threlfall is a third-year PhD student in the Centre for Clinical Brain Sciences, working to improve analysis methods for retinal images, intending to use these

Adam's portrait

improved methods to find changes in the retinal blood vessels in connection with systemic diseases, using a combination of AI and classical image analysis applied to clinical datasets. Outside of work he enjoys cooking and going for long walks in the countryside with his partner and their greyhound, Indie.

Yue Gu is a final year PhD student in the School of Economics. Her research looks to apply advanced methods of portait of Yue Gumicroeconometrics to evaluate the impact of policies and early family environment on women’s economic outcomes in China using household survey data. Outside of university work she enjoys traveling, watching movies and discovering good food in Edinburgh.

Research data management in a time of quarantine

Covid-19 has shaken up our world, and disrupted University life as we know it. But in terms of a silver lining, it has provided opportunities for open data / open research to prove their worth, in the search for a vaccine and other approaches to managing and treating the complications of the virus. SPARC Europe have collected a number of case studies on Open Science and the Coronavirus. If you’ve been working on Coronavirus research here at Edinburgh, we’d love to hear from you, especially if there is anything we might be able to do to help. So far we have engaged with researchers in all three Colleges studying, or hoping to study, an aspect of COVID-19; about handling sensitive data, archiving or sharing relevant data, or bidding for new research.

How has it affected us in Research Data Support?

  • We are all working from home, although some of us have unavoidable childcare responsibilities which may slow down responses;
  • In terms of answering Research Data Management (RDM) enquiries it’s business as usual. UniDesk has been a little quieter than usual, but we are receiving more complex queries as researchers adjust to the new reality;
  • Data Management Plan (DMP) assistance is business as usual, and we are now set up on Teams for video consultations – let us know if you’d be interested in one of these;
  • During the lockdown we will be refreshing our existing Research Data MANTRA training and directing research staff and students to this resource in place of our face-to-face training, which has been temporarily suspended. If you have a question or would like to discuss any aspect of RDM or Data Management Planning please contact the team using data-support@ed.ac.uk to setup an online consultation.

From the researcher’s point of view, in some cases collecting and processing or analysing new data may be more difficult than it usually is, and in many cases impossible without access to lab equipment or direct contact with research subjects. So why not turn your attention to other elements of RDM, such as preparing older data for deposit, and linking it with your published research papers to fortify the scholarly record?

What can you do?

  • Use the time away from the lab or the field to tidy up data you’ve already collected or created (and don’t forget to attach metadata/contextual information!);
  • Deposit completed data in DataShare (or a disciplinary repository, with metadata recorded in Pure);
  • If you have deposited in DataShare before, check the usage stats and AltMetrics feed to see whether it has been used by others;
  • Create an ORCID (unique, persistent global researcher’s ID), and link it with your Pure account to ensure you stay linked with your outputs throughout your career;
  • Invite us to comment on your DMP, or get in touch about anything else RDM-related;
  • Let us know if you’d like to arrange any bespoke training or awareness-raising sessions;
  • Take some or all of the MANTRA course and let us know if you have any comments.

Martin Donnelly
Research Data Support Manager
Library and University Collections

Collaborating on data in a modern way

Between mid-September and mid-October, the Research Data Support team hosted an international visitor. Dr Tamar Israeli, a librarian from Western Galilee College in Israel, spent four weeks in Edinburgh to increase her experience and understanding around research data management. As part of this visit, Tamar conducted a study into our researchers’ collaborative requirements, and how well our existing tools and services meet their needs. Tamar’s PhD thesis was on the topic of file sharing, and she has recently published another study on information loss in Behaviour & Information Technology: “Losing information is like losing an arm: employee reactions to data loss” (2019). Tamar is also a representative of the Israeli colleges on the University Libraries’ Research Support Committee.

Tamar carried out a small-scale study in order to gain a better understanding of the tools that researchers use to collaborate around data, and to explore the barriers and difficulties that prevent researchers from using institutional tools and services. Six semi-structured interviews were conducted with researchers from the University of Edinburgh, representing different schools, and all of whom collaborate with other researchers on a regular basis on either small- or large-scale projects. She found that participants use many different tools, both institutional and commercial, to collaborate, share, analyse and transfer documents and data files. Decisions about which tools to use are based on data types, data size, usability, network effect and whether their collaborators are in the same institution and country. Researchers tend to use institutional tools only if they are very simple and user friendly, if there is a special requirement for this from funders or principal investigators (PIs), or if it is directly beneficial for them from a data analysis perspective; sharing beyond the immediate collaboration is only a secondary concern. Researchers are generally well aware of the need to keep their data where it will be safe and backed-up, and are not concerned about the risk of data loss. A major issue was the need for tools that answer projects’ particular needs, therefore customisability and scope for interlinking with other systems is very important.

We’d like to thank Tamar for the great work she did, and for the beautiful olive oil and pistachios that she brought with her! Tamar’s findings will key into our ongoing plans for the next phase of the Research Data Service’s continual development, helping us assist researchers to share and work on their data collaboratively, within and beyond the University’s walls.

Martin Donnelly
Research Data Support Manager
Library and University Collections