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

Share

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

Share

The Edinburgh DataShare Awards!

The Research Data Service team applauds those researchers at the University of Edinburgh who share their data. We therefore decided to show our appreciation by presenting awards to our most successful depositors, as part of the Dealing With Data conference. The prizes themselves do not come with a cash research grant attached unfortunately. However, the winners did receive a certificate bearing an image of our mascot for the day, Databot. We think you’ll agree the winning depositors and their data demonstrate the diversity of our collections, in terms of subject matter, formats and sheer size. We were particularly pleased with the reactions from both the recipients and the attendees, both in person, by email and on twitter (#UoEData was the Dealing with Data hashtag). Who doesn’t love the drama of an awards ceremony! A video is available.

Photograph of Pauline Ward announcing the award winners

Photo: CC-BY Lorna M. Campbell

The winners in full…

MOST DATASHARING SCHOOL: Edinburgh Medical School

– the School which boasts the greatest number of Edinburgh DataShare Collections currently. Thirty-three eligible Collections (already containing at least one dataset) such as “Connectomic analysis of motor units in the mouse fourth deep lumbrical muscle”, the Edinburgh Imaging “Image Library” and “Generation Scotland”.

MOST PROLIFIC DATASHARER: Professor Richard Baldock
– the most prolific depositor into Edinburgh DataShare for the academic year 2016-17, and over the lifetime of the repository, having shared a grand total of 1,105 data items with full metadata. These are grouped together into numerous Collections under the heading of “e-Mouse Atlas”. The majority of these detailed images show microscope slides of stained tissue, others are 3D models. They accompany a book and website published by Professor Baldock, building on the seminal work of Professor Matt Kaufman in developmental biology. The metadata for each of the slides links to a lower definition version within the e-Mouse Atlas website, where the data may be viewed and navigated in context. The original slides themselves are held by the University’s Centre for Research Collections.

detail of histological slide showing stained cells

Detail from Elizabeth Graham; Julie Moss; Nick Burton; Yogmatee Roochun; Chris Armit; Lorna Richardson; Richard Baldock. (2015). eHistology Kaufman Atlas Plate 21a image d, [image]. University of Edinburgh. College of Medicine and Veterinary Medicine. http://dx.doi.org/10.7488/ds/735.

MOST PROLIFIC DATASHARER (CSE): Professor Euan Brechin
– the depositor of the greatest number of Edinburgh DataShare items from the College of Science and Engineering in academic year 2016-2017. Euan deposits his coordination chemistry research data so frequently that we set up a Collection template on the Brechin Research Group, which automatically pre-populates some of the metadata fields for him, saving Euan time. If only we could find a way to mention metallosupramolecular cubes here.

The certificate awarded to Professor Euan Brechin

The certificate awarded to Professor Euan Brechin

MOST PROLIFIC DATASHARER (CAHSS): Dr Andrea Martin
– the depositor of the greatest number of Edinburgh DataShare items from the College of Arts, Humanities and Social Sciences in academic year 2016-2017. Some of these “Language Cognition and Communication” data items are still under temporary embargo. Users may nonetheless see all the metadata.

MOST POPULAR SHARED DATA: Professor Peter Sandercock
– the depositor of the Edinburgh DataShare item which has attracted the greatest number of page views over the lifetime of the repository: “International Stroke Trial database (version 2)” (aka IST-1).  These data from the International Stroke Trial provide a great example of how clinical trial data may be anonymised to allow them to be shared. For more information, you may want to watch Prof Sandercock’s very accessible and detailed  public lecture. Admittedly, one other item is higher up DataShare’s table of page views than IST. However we believe the traffic drawn by “RCrO3-xNx ChemComm 2016” to be artifactual, arising from the appearance of the word ‘doping’ in its abstract, and the fact the deposit was made at a time when doping in sport was very prominent in the news media. Additionally, the earlier, superseded, version of the IST-1 dataset also appears in the all-time top ten, and if we combine the number of views, it is in the No.1 spot outright 🙂

MOST POPULAR DATA 2016-17: Dr. Junichi Yamagishi
– the depositor of the Edinburgh DataShare item which has attracted the greatest number of page views (1,720 to be precise, as counted by Google Analytics) over the academic year 2016-17: “Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Database”. Here’s the suggested citation, which DataShare compiles automatically, and displays prominently, to encourage users to cite the data:

Wu, Zhizheng; Kinnunen, Tomi; Evans, Nicholas; Yamagishi, Junichi. (2015). Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Database, [dataset]. University of Edinburgh. The Centre for Speech Technology Research (CSTR). http://dx.doi.org/10.7488/ds/298.

MOST POPULAR DATA 2016-17 (CAHSS): Professor Miles Glendinning

– the depositor of the Edinburgh DataShare item from the College of Arts, Humanities and Social Sciences which has attracted the greatest number of page views (1,374 to be precise, as counted by Google Analytics), over the academic year 2016-17: “Hong Kong Public Housing Archive”. The Research Data Service is working closely with Miles, Personal Chair of Architectural Conservation, on a series of batch imports to put his fabulous array of photographs of public housing tower blocks from all around the world on DataShare over the coming months – keep an eye on DOCOMOMO International Mass Housing Archive.

Sunny image of the façade of several tower blocks; a tree is visible in the foreground.

Image cropped from “HKI_H_Yue_Fai_Ct.jpg” from Glendinning, Miles; Forsyth, Louise; Maxwell, Gavin; Wood, Michael. (2015). Hong Kong Public Housing Database, 2006-2015 [image]. University of Edinburgh. Edinburgh College of Art. http://dx.doi.org/10.7488/ds/322.

MOST POPULAR DATA 2016-17 (MVM): Dr. Tom Pennycott
– the depositor of the Edinburgh DataShare Collection page from the College of Medicine and Veterinary Medicine which has attracted the greatest number of page views over the academic year 2016-17: “Diseases of Wild Birds”. Hundreds of grotesquely beautiful photographs of dead wild birds, bodies ravaged with viruses, bacteria and protists, found at locations all around the United Kingdom; these images support the PhD thesis of Dr Tom Pennycott from our Veterinary School.

You can see usage statistics for any DataShare Item or Collection simply by clicking on the “View usage statistics” button on the right-hand-side of the page.

Pauline Ward, Research Data Service Assistant
EDINA and Data Library

Share

Research Data MANTRA gets a refresh

Research Data MANTRA updates

MANTRA, the free online training course which provides guidelines for good practice in research data management (RDM), has recently been refreshed. The course content remains applicable to all research disciplines, and is particularly appropriate for postgraduate students and early career researchers who would like to learn more about managing their research data.

The latest release helps ensure that content from each of the eight learning modules remains up-to-date, with interactive elements across all units being revised to make them more user friendly, and new content added to some units.

Additionally, as part of the CEPAL, United Nations project some video content used within MANTRA has been translated. Claudia Vilches and Gabriela Andaur from Hernán Santa Cruz Library (Santiago, Chile) have helpfully translated several of the video interviews with research staff, and these can now be viewed with Spanish subtitles within MANTRA or on our Youtube channel, helping to widen accessibility to these training materials for researchers outside the UK. Please contact us if you wish to translate any of the MANTRA materials.

MANTRA learning units now available via Zenodo

In addition to being a free-of-charge online learning resource, all content from MANTRA is openly available for use and re-use by others. For those interested in developing their own RDM training materials based on MANTRA content, all MANTRA units (along with four sets of data handling exercises) are now available for direct download from the Zenodo repository’s RDM Open Training Materials community. The eight individual MANTRA units were created using open source software Xerte Online Toolkits and units can be imported and edited in Virtual Learning Environments (VLE) such as Moodle. All that we ask is for attribution according to our CC-BY licence.

Content from a number of shorter MANTRA ‘taster’ units is also openly available from Zenodo. These provide an overview of RDM in four very short modules which can be edited so as to add information about local RDM support services, before deploying locally in a VLE or on the Web.

Share