Category Archives: Collaboration

Kyushu University Library and iSchool Visit

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Recently, a delegation of 5 librarians visited Library Research Support in Argyle House on 30 July. Led by Emi Ishita, a Professor in the iSchool and working with the Library on their Data-Driven Innovation Initiative, staff from Kyushu and Chiba Universities and the University of the Ryukyus came for a day of discussion, and a pleasant lunch at the nearby Edinburgh College of Art café.

Professor Ishita enjoys an Irn-Bru.

Prof Ishita enjoys an Irn-Bru – Photo credit: Robin Rice

Questions the delegation had were shared in advance, and assigned to members of the team to respond to, in a round table format. These covered research data services and personnel (skills), service operation and collaboration, service evaluation, user reactions, and data publication and licence support in data repositories as well as repository certification. Other questions were around Open Access promotion and educational activities, as well as REF 2029 and Transformative Agreements.

The librarians from Japan were well informed about our research data management and open access services. Something that they were particularly keen to discuss was the way we conduct outreach with researchers, such as going to academic departments and training postgraduate students on data management planning. They are grappling with the perception of libraries in Japan as more of a physical space where researchers choose to come study; less as a proactive service that helps researchers learn and develop new academic skills, particularly related to Research Data Management (RDM).The delegation had also visited University of Vienna and Leeds University on the same trip. Future collaboration around training of librarians in the Kyushu Department of Library Science (iSchool) is being planned with Prof Ishita.

Robin Rice
Data Librarian and Head of Research Data Support
Library and University Collections

 

Commissioning data handling modules for MANTRA

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We are seeking to commission new software-specific data handling modules in the Research Data MANTRA training resource (https://mantra.ed.ac.uk/), as the ones there have become outdated (https://mantra.ed.ac.uk/softwarepracticals.html). The online modules have been refreshed more regularly by the Research Data Support team. There will be a short turnaround for the commissioned works, which will be incorporated into MANTRA and the Research Data Service.

There is £2,000 available per module for new modules to be authored by end of July, 2024.

Screenshot of the MANTRA resource

What are the software modules in DataShare?

As an extension to the overall MANTRA resource which covers good practice in research data management, each software module contains a one to one a half hour practical to work through which will teach skills needed to handle data properly within the software environment. It is not intended to be an introduction to the software, and a certain level of proficiency with the software may be assumed (any prerequisite knowledge should be stated).

Each module contains:

  • a PDF document stepping through the practical so the learner can work at their own pace;
  • and a publicly available dataset that can be used within the practical, such as a UK government dataset or an open access dataset from a repository. The dataset can be based in any discipline but should not require discipline-specific skills to understand and use.

Currently, we have a module for SPSS, R, ArcGIS and Nvivo.

How do I submit my proposal to author a software module?

We are interested in proposals for authoring accessible data handling tutorials in specific modern software environments, including potentially SPSS, R, Python, QGIS, and Nvivo.

To be considered for this commissioned work, please send a one to two page outline of what the practical will entail in a PDF document to R.Rice@ed.ac.uk by end of Friday 28th June, 2024. Interested parties are welcome to get in touch before the outline is complete, stating their intention. The outline must include the author’s name, email address, and postal address, with or without telephone number. The outline may also contain:

  • prerequisite knowledge that the learner is assumed to have in order to complete the module successfully, such as familiarity with a particular type of software or experience of coding;
  • specific learning objectives of what the learner will gain by working their way through the module;
  • headings indicating sections of the tutorial;
  • descriptions of what will be covered beneath each heading and what the learner is expected to do, using the software of interest;
  • a citation of the dataset to be used with the practical, including the name and location.

The commissioning process

The Research Data Support team will evaluate the proposals and select the authors to proceed with the commissioned works. Notification will be by email. Authors will be expected to comply with the University of Edinburgh’s terms and conditions for suppliers, which includes transfer of any IPR to the University. Upon evaluating the material, we may choose to make edits for purposes of clarity or accessibility. Current members of staff of the University may need to receive payment through their associated unit (to be determined).

All materials for the full software modules must be passed to the University by Friday 26th July. Progress before that date will be assessed through email correspondence. An invoice for work completed must be submitted after the team confirms the content is complete and to specification before 31 July in order to be paid in full.

Robin Rice
Data Librarian and Head of Research Data Support
Library and University Collections

Skills4EOSC fellowship

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This is a guest blog post from Clara Parente Boavida, about her fellowship with the Research Data Service as part of a European Open Science Cloud (EOSC) project.

My name is Clara Parente Boavida and I work in the Research Support Office at Iscte-Instituto Universitario de Lisboa (Portugal). I applied for the first call of the Skills4EOSC Fellowship Programme and between 11th March to 5th April I worked with an amazing team at Research Data Service at the University of Edinburgh.

The Skills4EOSC Fellowship Programme aims to address the need to promote and sustain professional roles dedicated to open research by supporting short-term secondments.

Among the three different types of fellowships, I have chosen a Research Data Support internship. This placement allowed me to actively participate in the day-to-day activities related to research data support, providing an immersive experience and a comprehensive understanding of research data management practices within the host institution.

I would like to congratulate the Skills4EOSC project for this initiative and thank everyone who has helped to make this opportunity possible. I’m grateful for the support of my institution (Vice-Rector Jorge Costa and Carina Cunha), I’m grateful to Robin Rice for the extraordinary welcome and I’m grateful to all the people I’ve had the opportunity to talk to and interact with during this month.

“the essential is invisible to the eyes”
Antoine de Saint-Exupéry’s novel “The Little Prince”

Each week’s agenda was carefully prepared with my expectations and interests in mind. The University of Edinburgh has a busy life in terms of Research Data Management. Not only in collaboration with various services within the University, but also with the external community. This holistic view has made me reflect about the different services that Research Data Management intersects with. Success comes from healthy and effective relationships with different stakeholders.

Photo collage of Clara's activities in Edinburgh.

I was involved in the day-to-day activities of different members of the team, and each experience added something new. I had the opportunity to attend face-to-face events, one-to-one meetings, kick-off meetings, as well as online meetings and events. I also took part in internal team meetings and service meetings. Informal activities were carefully planned to allow the Research Data Service team to interact with each other and to allow other teams to be involved.

I had one-to-one meetings with each member of the Research Data Support team about: DataShare, DataVaut, training programme, DMP, DMPonline, Research Data Management Policy and Metrics. I had one-to-one meetings with members of other teams: Open Research, Scholarly Communications, Research Information Systems, Digital Research Services, and Edinburgh Research Office.

I attended a number of events in person: Digital Research Lunchtime Seminar: How to interpret and analyse your data efficiently; Open Research Scotland Meeting; Open Science Framework Workshop Modules 1, 2, 3 & 4; Ethics & Data Management at the Childlight GDF Residency; Technomoral Conversations: Who is Responsible for Responsible AI?; Library Tour for Staff, and Digital Research Lunchtime Seminar: Manage, publish, share and preserve.

I also participated in online events: Updating the DataCite Metadata Scheme webinar; UK Research Network (UKRN) webinar on Indicators for Open Research; UKRN Indicators Pilot 2 online meeting; UKRN Pilot 1 kick-off meeting; Writing a Data management plan, for the Health in Social Science School; and Working with Personal and Sensitive Data. I also had the opportunity to organise an online meeting with Mike Wallis (Research Services, IT Infrastructure) and the IT Services of Iscte to answer questions about DataStore.

In terms of personal contributions, I wrote suggestions for updates to MANTRA Unit 1, part of an open access Research Data Management Training course. I had the opportunity to demonstrate the interoperability process between CRIS systems and OpenAIRE, and also how to link EC funded projects to publications and datasets.

Finally, I designed a Research Data Management Roadmap for the Iscte. This roadmap intends to guide the work to be developed over the next three years towards the implementation of a RDM Service for the Iscte-Instituto Universitário de Lisboa. It incorporates lessons learned during the Skills4EOSC Fellowship Programme at the University of Edinburgh. It is also aligned with the Human Resources Excellence in Research Award (HRS4R) principles for researchers, which is a mechanism through which the European Commission seeks to ensure that concrete steps are put in place by institutions to enhance working conditions for researchers across Europe, as set out in the European Charter and Code.

Digital Curation Interviews project with DCC

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In this guest blog post, Clara Lines Diaz reports on last year’s Digital Curation Interviews with University of Edinburgh researchers, conducted by the Digital Curation Centre (DCC) on behalf of Digital Research Services.

The project was initiated by staff in the Research Data Service to gain an overview of the research data and software management practices and challenges across the University through in-depth interviews with researchers. The DCC was selected as best placed to conduct the interviews, given its expertise on the subject matter and location at University of Edinburgh. The information was collected through semi-structured interviews during Spring 2023.

2 women talking at table


Image by WOCinTech Chat, Flickr

The motivation to collect this information was to help ensure that researchers are supported in their specific needs and to contribute to shaping the research data management (RDM) services. The choice of in-depth interviews as a method was also expected to help build deeper relationships between service providers and users.

For the semi-structured interviews we had some topic blocks as below, and some prepared questions within each of those blocks. This was used more as a check list for us and we gave the interviewees space to focus on or bring up anything they considered relevant.

Topic blocks:

  • A: Introduction: Research line, projects, collaborations
  • B: Data provenance, types and reuse
  • C: Data/Software management practices
  • D: Influences on data/software management practices
  • E: Data management challenges and sources of assistance

This type of interview works well for exploratory studies like this because it allows common and maybe unexpected patterns to emerge, but also has some caveats around comparability, as not all interviews cover exactly the same topics in the same level of detail. This means that in the results we were able to indicate, for example, how many people mentioned using a particular service, but we could not infer that the others don’t use it, just because they did not mention it.

To select the participants, we contacted research support staff in the three colleges and asked them to suggest participants or send the invitation around. It felt like there was a high interest to discuss these topics and make the challenges they encounter heard, especially among researchers in the College of Science and Engineering (CSE). The interviewees were all involved in data intensive research, with a mix of senior and early career researchers. The interviews were planned to last around 45 minutes but there was some variation in the duration.

From the 14 interviews, four were with staff from the College of Medicine and Veterinary Medicine (CMVM), eight with staff from CSE and two with staff from the College of Arts, Humanities and Social Sciences (CAHSS). The oversampling of CSE interviews was intended as the service team was particularly interested to hear about their practices, which are less well known to them.

Once we had all the interview notes, we extracted the comments and classified them by themes. This was the basis for the final project report, which included a selection of the themes and possible points for action for the Research Data Service and the Research Computing Service in five key areas:

  • Data sharing and reuse was common practice, but there were challenges and areas where further support would be beneficial.
  • Code sharing and collaborative development was widespread and growing, but support and services were perceived as being less mature than that provided for data.
  • External collaboration with university-hosted services could be challenging.
  • Awareness of FAIR and open science was variable.
  • There was an appetite for more training, both for students and staff.

Sharing and reuse had a special focus in the interviews and the first two points are connected to that. Most interviewees had a lot to say about challenges related to sharing and reusing data, especially those working with sensitive data. Some extra advice to help people with those challenges would help. Most interviewees also discussed storing and, in some cases, sharing their code. GitHub is in general preferred for that. Sharing code is in general considered very time consuming.

A briefing was given to the Digital Research Services in August, 2023 and the Research Data Support team was given the transcripts and full results to inform service development.

Clara Lines Diaz
Research Data Specialist
Digital Curation Centre