Introducing new support team members

Since mid-January, two new Research Data Service Assistants have joined the busy ‘virtual team’ working across divisions of Information Services to provide user support for RDM and Data Library enquiries and to quality assure DataShare submissions. You may have already come in contact with them, but a brief welcome is in order nonetheless.

Both new team members have a research background but surprisingly, from the same field and institution! Nevertheless they had not met until they arrived at our offices in Argyle House for their first day of work. Diarmuid joins us full-time, commuting daily from Glasgow, and Bob works half-time, taking advantage of a short walk from home.

mcdonnellDiarmuid McDonnell has taught a variety of research design, data management and analysis courses across a number of Scottish universities and levels. He is proficient in the use of Stata, SPSS and SAS for research and teaching purposes and is particularly experienced in the use of administrative data for social science research, which he used for his recently completed PhD thesis at Stirling University.

sandersBob Sanders recently completed his PhD at Stirling University looking at the relationship between dependency and care receipt in later life. He has extensive experience undertaking quantitative research, including the routine and advanced management and statistical analysis of large-scale longitudinal data. He is capable of conducting end-to-end data preparation, management and analysis using syntax-driven commands in Stata, with experience using other statistical software packages such as SPSS and Excel.

In addition to their repository and user support work for EDINA and Data Library, they have already made unique contributions to the service. Diarmuid has revised and taught our Data Handling in SPSS half-day workshop, as well as piloted an Introduction to Statistical Literacy workshop for Humanists. Bob has joined the Data Safe Haven development project, helping to work out operational processes and user documentation, as well as giving the online MANTRA course a thorough editing job.

Robin Rice
Data Librarian and Head, Research Data Support
EDINA and Data Library


Welcome to the new Research Data Management Service Coordinator: Stuart Macdonald

We welcome Stuart Macdonald to the position of Research Data Management Service Coordinator, as a 1-year secondment for the current post-holder. Stuart will continue the work of developing the research data services provided by Information Services at the University of Edinburgh. Stuart will be working for three quarters of his time on the programme, and the remaining quarter in his current role as Associate Data Librarian for EDINA and the Data Library.

Stuart Macdonald

Stuart has recently returned from a six month secondment at Cornell Institute for Social and Economic Research as Data Services Librarian where he co-ordinated the successful Data Seal of Approval trusted repository application for CISER Data Archive as well as modernized archival process and practice.

When not working as service coordinator, Stuart will be working towards gaining the Data Seal of Approval for DataShare, the University’s open data repository.

On the role of service coordinator, Stuart says “This is a marvellous opportunity to be at the heart of research data management activities here at the University and to continue the great work that has already been put in place”


Digital Scholarship Day of Ideas: Data

The theme of this year’s ‘Digital Scholarship Day of Ideas’ (14th May) focused on ‘data’ and what data is for the humanities and social sciences. This post summarises the presentation of Prof Annette Markham, the first speaker of the day. She started her presentation with an illustration of Alice in Wonderland. She then posed the question: What does data mean anyway?

Markham then explained how she had quit her job as a professor in order to enquire into the methods used in different disciplines. Since then, she has thought a lot about method and methodologies, and run many workshops on the theme of ‘data’. In her view, we need to be careful when using the term ‘data’ because although we think we are talking about the same thing we have different understandings of what the term actually means. So, we need to critically interrogate the word and reflect upon the methodologies.

Markham talked about the need to look at ‘methods’ sideways, we need to look at them from above and below. We need to collate as many insights into these methods as possible; we might then understand what ‘data’ means for different disciplines. Sometimes, methods are related to funding, which can be an issue in the current climate, because innovative data collection procedures that might not be suitable for archival aren’t that valuable to funders. The issue is that not all research can be added to digital archives. For an ethnographer, a stain of coffee in a fieldwork notebook has meaning, but this subtle meaning cannot be archived or be meaningful to others unless digitised and clearly documented.

Drawing on Gregory Bateson’s Steps to an Ecology of Mind (1972), she asked us to think about ‘frames’ and how these draw our attention to what is inside and dismiss what lays outside. If you change the frame with which you look, it changes what you see. She showed and suggested using different frames. For example there are: traditional frames, structures like the sphere, molecular structures. Different structures afford different ways of understanding, and convey themes and ideas that are embedded within them.



To use another example, she used an image of McArthur’s Universal Corrective Map of the World to illustrate how our understanding of our environment changes when information is shown and structured in a different and unexpected way.

  • What happens when we change the frame?
  • How does the structure shape the information and affect the way we engage with it?

Reversed Earth map 1000x500
Satellite image of McArthur’s Austral-centric view of the world [Public domain]

1. How do we frame culture and experiences in the 21st Century? How has our concept of society changed since the internet?
Continuing the discussion on frames, she spoke about how the internet has brought on a significant frame shift. This new frame has influenced the way we interact with media and data. To illustrate this, she showed work by Sparacino, Pentland, Davenport, Hlavac and Obelnicki, who in the project the ‘City of News’ (Sparacino, 1997) addressed this frame shift caused by the internet. The MIT project (1996) presented a 3D information browsing system, where buildings were the information spaces where information would be stored and retrieved. Through this example, Markham emphasized how our interaction with information and the methods we use for looking at social culture are changing, and so are the visual-technical frames we use to enquire into the world.

2. How do we frame objects and processes of enquiry?
She argued that this framing of objects and processes hasn’t changed enough. If we were to draw a picture or map of what research is and how the data in any research project is structured, we would end up with a multi-dimensional mass of connected blobs and lines instead of with a neatly composed bi-dimensional picture frame (research looks more like a molecular structure than like a rectangular frame). However, we still associate qualitative research with traditional ethnographic methods and we see quite linear and “neat and tidy” methods as legitimate. There is a need to look at new methods of collecting and analysing research ‘data’ if we are to enquire into socio-cultural changes.

3. How do we frame what counts as proper legitimate enquiry?
In order to change the frame, we have to involve the research community. The frame shift can happen, even if slowly, when established research methods are reinvented. Markham used 1960s feminist scholars as an example, for they approached their research using a frame that was previously inconceivable. This new methodological approach was based on situated knowledge production and embodied understanding, which challenged the way in which scientific research methods had been operating (more on the subject, (Haraway 1988). But in the last decade at least we are seeing an upsurge of to scientific research methods – evidence based, problem solving approaches – dominating the funding and media understanding of research.

So, what is DATA?
‘Data’ is often an easy term to toss around, as it stands for unspecified stuff. Ultimately, ‘data’ is “a lot of highly specific but unspecified stuff”, that we use to make sense of the world around us, a phenomenon. The term ‘data’ is a arguably quite a powerfully rhetorical word in humanities and social sciences, in that it shapes what we see and what we think.

The term data comes from the Latin verb dare, to give. In light of this, ‘data’ is something that is already given in the argument – pre-analytical and pre-semantics. Facts and arguments might have theoretical underpinnings, but data is devoid of any theoretical value. Data is everywhere. Markham referring to Daniel Rosenberg‘s paper ‘Data before the fact’, pointed out that facts can be proved wrong, and then they are no longer a facts, but data is always data even when proven wrong. In the 80s, she was trained not to use the term ‘data,’ they said:

“we do not use it, we collect material, artifacts, notes, information…”

Data is conceived as something that is discrete, identifiable, disconnected. The issue, she said was that ‘data’ poorly represents a conversation (gesture and embodiment), the emergence of meaning from non verbal information, because when we extract things from their context and then use them as a stand-alone ‘data’, we loose a wealth of information.

Markham then showed two ads (Samsung Galaxy SII and Global Pulse) to illustrate her concerns about life becoming data-fied. She referenced Kate Crawford’s perspective on “big data fundamentalism”, because not all human experiences can be reduced to big data, to digital signals, to data points. We have to trouble the idea of thinking about “humans (and their data) as data”. We don’t understand data as it is happening, and “data has never been raw”. Data is always filtered, transformed. We need to use our strong and robust methods of enquery, and that these do not necessarily focus on data as the centre stage, it may be about understanding the phenomenon of what we have made,this thing called data. We have to remember that that’s possible.

Data functions very powerfully as a term, and from a methodological perspective it creates a very particular frame. It warrants careful consideration, especially in an era where the predominant framework is telling us that data is really the important part of research.


  • Image of Alice in Wanderland after original illustration by Danny Pig (CC BY-SA 2.0)
  • Sparacino, Flavia, A. Pentland, G. Davenport, M. Hlavac and M. Obelnicki (1997). ‘City of News’ in Proceedings of Ars Electronica Festival, Linz, Austria, 8-13 Sep.
  • Bateson, Gregory (1972). Steps to an ecology of mind: collected essays in anthropology, psychiatry, evolution, and epistemology. Aylesbury: Intertext.
  • Frame by Hubert Robert [Public domain], via Wikimedia Commons
  • Sphere by anonymous (CC 1.0) [Public Domain]
  • Image of 3D structure (CC BY-SA 3.0)
  • Map by Poulpy, from work by jimht[at]shaw[dot]ca, modified by Rodrigocd, from Image Earthmap1000x500compac.jpg, [Public domain], via Wikimedia Commons
  • Rosenberg, Daniel (2013). ‘Data before the fact’ in Lisa Gitelman (ed.) “Raw data” is an oxymoron. Cambridge, Mass.: MIT Press, pp. 15–40.

More about

Rocio von Jungenfeld
Data Library Assistant


New faces at the Data Library

We are pleased to introduce two new staff members who have joined the Data Library team.

Laine Ruus has taken up a six-month post as Assistant Data Librarian, helping out during Stuart Macdonald’s productive secondment at CISER, Cornell University. Laine has worked in data management and services since 1974, at the University of British Columbia, Svensk Nationell Datatjänst, and the University of Toronto. Laine was Secretary of IASSIST for eighteen years. She received the IASSIST Achievement award upon her retirement from the University of Toronto in 2010 and the ICPSR Flanigan Award in 2011.

She is perhaps best known for “ABSM: a selected bibliography concerning the ‘Abominable Snowman’, the Yeti, the Sasquatch, and related hominidae, pp. 316-334 in Manlike monsters on trial: early records and modern evidence, edited by Marjorie M. Halpin and Michael M. Ames. Vancouver: University of British Columbia Press, 1980.”

Pauline Ward, Data Library Assistant, will be contributing to the Data Library and Edinburgh DataShare services for University of Edinburgh students and staff, and helping to deliver new research data management services and training as part of the wider RDM programme. Pauline has a bioinformatics background, and has worked in a variety of roles from curation of the EMBL database at the European Bioinformatics Institute in Hinxton to database development (with Oracle, MySQL, Perl and Java) and sequence analysis at the Wellcome Trust Centre for Molecular Parasitology in Glasgow. She also worked more recently as a Policy Assistant at Universities Scotland.

Pauline said: “It’s great to be back in academia. I am really chuffed to be working to help researchers share their data and make the best use of others’ data. I’m really enjoying it.”

You can follow Pauline on twitter at @PaulineDataWard or check out her previous publications.

Pauline at her desk in the EDINA offices, Edinburgh

by Robin Rice and Pauline Ward
Data Library