About Robin Rice

Data Librarian and Head, Research Data Support Library & University Collections

Commissioning data handling modules for MANTRA

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modules in the Research Data MANTRA training resource (https://mantra.ed.ac.uk/), as the ones there have become outdated (https://mantra.ed.ac.uk/softwarepracticals.html).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

Digital Curation Interviews project with DCC

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

Large scale data transport service launched

Research Services, IT Infrastructure Division, are pleased to report that a project that allows researchers to transfer terabytes of data between the University of Edinburgh and external collaborators has been completed. The service uses a transport mechanism known as Globus to set up multiple connections between host and client to transfer data instead of relying on a single point-to-point connection. This results in very large data being transferred between sites in parallel, allowing faster transfer.

The service is integrated with the University’s research data platform, DataStore, allowing researchers to specify specific folders that can be used as “endpoints” to the transfer. Many users have already taken advantage of the service, but it is key to note that this will not improve data transfer speeds within the University itself, rather that bottlenecks in the wider Internet can be mitigated.

For more information, University of Edinburgh users may view the RSS Wiki.

Mike Wallis
IS ITI

Research Data Support team and DCC to host Skills4EOSC Fellow

University of Edinburgh has been chosen as one of 12 European institutions to host sponsored short secondments for data professionals in Open Science, as part of the Skills4EOSC Horizon Europe project. Whilst the Digital Curation Centre is a partner in the Skills4EOSC project (EOSC is the European Open Science Cloud), the Research Data Support team has been asked to be the primary host for the secondment, so the ‘fellow’ can participate and engage in the team’s day-to-day activities in supporting and training researchers in an academic setting.

Promotional image for Skills4EOSC fellowship

The project aims to develop common methodologies, activities and training resources to unify the current training landscape into a collaborative and reliable ecosystem and to provide dedicated community-specific support to leverage the potential of EOSC for open and data-intensive research. A number of enquiries have already been received and plans are currently underway with Library Research Support and the Digital Curation Centre (DCC) to support the application of a European candidate to work with the team for a month in either April or July, 2024, with a deadline for the application of 31 October. More information is at https://www.skills4eosc.eu/participate/fellowship-programme.