About Robin Rice

Robin on Twitter: Sparrowbarley

New team members, new team!

Time has passed, so inevitably we have said goodbye to some and hello to others on the Research Data Support team. Amongst other changes, all of us are now based together in Library & University Collections – organisationally, that is, while remaining located in Argyle House with the rest of the Research Data Service providers such as IT Infrastructure. (For an interview with the newest team member there, David Fergusson, Head of Research Services, see this month’s issue of BITS.)

So two teams have come together under Research Data Support as part of Library Research Support, headed by Dominic Tate in L&UC. Those of us leaving EDINA and Data Library look back on a rich legacy dating back to the early 1980s when the Data Library was set up as a specialist function within computing services. We are happy to become ‘mainstreamed’ within the Library going forward, as research data support becomes an essential function of academic librarianship all over the world*. Of course we will continue to collaborate with EDINA for software engineering requirements and new projects.

Introducing –

Jennifer Daub has worked in a range of research roles, from lab-based parasite genomics at the University of Edinburgh to bioinformatics at the Wellcome Trust Sanger Institute. Prior to joining the team, Jennifer provided data management support to users of clinical trials management software across the UK and is experienced managing sensitive data.

As Research Data Service Assistant, Jennifer has joined veterans Pauline Ward and Bob Sanders in assisting users with DataShare and Data Library as well as the newer DataVault and Data Safe Haven functions, and additionally providing general support and training along with the rest of the team.

Catherine Clarissa is doing her PhD in Nursing Studies at the University of Edinburgh. Her study is looking at patients’ and staff experiences of early mobilisation during the course of mechanical ventilation in an Intensive Care Unit. She has good knowledge of good practice in Research Data Management that has been expanded by taking training from the University and by developing a Data Management Plan for her own research.

As Project Officer she is working closely with project manager Pauline Ward on the Video Case Studies project, funded by the IS Innovation Fund over the next few months. We have invited her to post to the blog about the project soon!

Last but not least, Martin Donnelly will be joining us from the Digital Curation Centre, where he has spent the last decade helping research institutions raise their data management capabilities via a mixture of paid consultancy and pro bono assistance. He has a longstanding involvement in data management planning and policy, and interests in training, advocacy, holistic approaches to managing research outputs, and arts and humanities data.

Before joining Edinburgh in 2008, Martin worked at the University of Glasgow, where he was involved in European cultural heritage and digital preservation projects, and the pre-merger Edinburgh College of Art where he coordinated quality and accreditation processes. He has acted as an expert reviewer for European Commission data management plans on multiple occasions, and is a Fellow of the Software Sustainability Institute.

We look forward to Martin joining the team next month, where he will take responsibility as Research Data Support Manager, providing expertise and line management support to the team as well as senior level support to the service owner, Robin Rice, and to the Data Safe Haven Manager, Cuna Ekmekcioglu – who recently shifted her role from lead on training and outreach. Kerry Miller, Research Data Support Officer, is actively picking up her duties and making new contacts throughout the university to find new avenues for the team’s outreach and training delivery.

*The past and present rise of data librarianship within academic libraries is traced in the first chapter of The Data Librarian’s Handbook, by Robin Rice and John Southall.

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

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Dealing with Data, 2017

One hundred researchers from across the University came together to present work in progress and discuss many tricky issues they face in ‘dealing with data’ at a Research Data Service sponsored event on 22nd November in Playfair Library.

A theme that emerged from this year’s event was around approaches to balancing the drive to make data open with the increasingly restrictive ethical and legal requirements for non-disclosure of personal data from research subjects.

The University’s CIO and Librarian, Gavin McLachlan, set the scene for the day’s topics in his welcome address, referencing data driven innovation through the Edinburgh Region City Deal, the aims of the European Open Science Cloud, FAIR data (Findable, Accessible, Interoperable, Reusable), and the GDPR – the new General Data Protection Regulation coming into force in May, 2018.

Videos of speakers and links to presentations may be viewed from the event page at http://edin.ac/2CypID0. Look out for the event same time next year!

Robin Rice & Kerry Miller (DWD 2017 Organiser)
Research Data Service

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Updates from the fourth meeting of the RDM Forum

Guest blog post by Ewa Lipinska

On 28th August members of the RDM Forum gathered in the stunning Old Library at the Department of Geography in the Old Infirmary building, to hear the latest updates from the Research Data Service team and discuss all things data. It’d been a good few months since the last time we met, so the event presented us with the perfect opportunity to catch up on new developments, network with colleagues working on RDM in different parts of the University, and prepare ourselves for the new academic year which will see the University take up a pivotal role in making Edinburgh the Data Capital of Europe.

We started off with an RDM update from Cuna Ekmekcioglu, who gave us an overview of developments to University research data services: the launch of interim DataVault long-term retention service, continuing development of Data Save Haven aimed at research projects dealing with sensitive data, and a new release of DataShare which will allow larger datasets. We also learned about RDM training courses planned for the new academic year, most of which can be booked via MyEd.

Next, Pauline Ward gave a presentation which went into a bit more detail about the DataVault service allowing researchers to comply with their funders’ requirements to preserve data for the long term in cases where the datasets cannot be made public. The current interim service requires a mediated deposit which can be done by contacting data-support[at]ed.ac.uk. Comprehensive guidance on how to prepare your data before storing it in DataVault can be found on the service website.

This was followed by a demonstration of the new Research Data Service promotional video which outlines the range of tools and support offered by the team, and which can be a very good resource for new members of staff who would like to find out about the types of services available. Diarmuid McDonnell who presented the video also gave us a quick overview of a recent project called Scoping Statistical Analysis Support, which looked at the demand for statistical analysis training for current postgraduate students. The final project report is full of current information about statistical training around the University.

We then went on to discuss the potential impact of data sharing, which tied in nicely with a recent panel discussion at Repository Fringe 2017 that focused on how repositories and associated services can feature in supporting researchers to achieve and evidence impact in preparation for the next Research Excellence Framework exercise (live notes from the day are available). Pauline Ward presented examples of popular public datasets by Edinburgh University researchers, described ways to access information about their usage, and talked about how datasets can be shared more widely to engage external audiences, which may lead to potential impact. Even though on their own research data usage statistics are not enough to demonstrate significant impact beyond academia, they are a good (though perhaps still slightly overlooked) starting point for tracking how and by whom datasets are used, and how that benefits individuals and communities.

The meeting concluded with a presentation by Robin Rice, who shared with us the draft Research Data Service Roadmap. As the goals set out in the previous roadmap have now largely been achieved, the time has come to look to the future and identify new objectives for the next few years. It was interesting to hear about the team’s long-term plans which include unification of the service (aiming to ensure the best user experience and interoperability between systems), advocacy of data management planning, support around active data, enhanced data stewardship, improved communications and more training opportunities.

Overall, it was a very useful and informative meeting, and I’d very much encourage anyone interested in research data management and sharing to join us next time. In the meantime Cuna’s slides, together with lots of other useful resources and points for discussion, are available on the RDM Sharepoint (access on request).

Ewa Lipinska
Research Outcomes Co-Ordinator
College of Arts, Humanities and Social Sciences

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Scoping Statistical Analysis Support

The following is a post by our former PhD Intern, Cindy Nelson-Viljoen, where she outlines her experience of working on a significant Data Library project supported by the Innovation Fund.

Scoping Statistical Analysis Support, supported by the Information Services Innovation Fund and managed by Diarmuid McDonnell, was a six-month project that aimed to identify gaps in statistical analysis training provision at the University of Edinburgh, and the potential role of the Data Library in addressing these gaps. The focus was on understanding how statistical analysis support and training is conducted across University of Edinburgh schools; scoping existing support mechanisms and models for students, researchers and teachers; and identifying services and support that would satisfy existing or future demand.

The activities of the project included designing an online questionnaire of research students, and to engage with and interview faculty (researchers and teachers) with knowledge of and responsibility for quantitative methods/statistical analysis support in their respective school. As part of the project, the Data Library employed a PhD intern (Cindy Nelson-Viljoen) via the Employ.ed scheme, and offered an excellent opportunity for Cindy to develop her knowledge of social science methods, statistical analysis and support, and research data management in a collaborative cross-disciplinary setting.

The project’s findings will inform future planning of statistical analysis support and training within the Data Library, ISG and the University. The report describing the project, methodology, findings and recommendations is available at http://edin.ac/2hnJYPb.

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