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.

New video about the Research Data Service

The Research Data Service team is delighted to announce a new resource to help researchers and research support staff become familiar with the wide range of tools and support that we offer:

The video, produced by Senate Media, outlines how the University of Edinburgh Research Data Service can help you access, manage, store, share and preserve your research data. The permanent location for the video is: https://media.ed.ac.uk/media/1_cm6au55u .

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

Reflections on Repository Fringe 2017

The following is a guest post by Mick Eadie, Research Information Management Officer at University of Glasgow, on his impressions of Repository Fringe 2017.

Capture1From the Arts

The first day afternoon 10×10 (lightning talk) sessions had many of the presentations on Research Data topics.  We heard talks about repositories in the arts; evolving research data policy at national and pan-national level; and archival storage and integrations between research data repositories and other systems like Archivematica, EPrints and Pure.

Repositories and their use in managing research data in the arts was kicked off with Nicola Siminson from the Glasgow School of Art with her talk on What RADAR did next: developing a peer review process for research plans.  Nicola explained how EPrints has been developed to maximise the value of research data content at GSA by making it more visually appealing and better able to deal with a multitude of non-text based objects and artefacts.   She then outlined GSA’s recently developed Annual Research Planning (ARP) tool which is an EPrints add-on that allows the researcher to provide information on their current and planned research activities and potential impact.

GSA have built on this functionality to enable the peer-reviewing of ARPs, which means they can be shared and commented on by others.   This has led to significant uptake in the use of the repository by researchers as they are keen to keep their research profile up-to-date, which has in turn raised the repository profile and increased data deposits.  There are also likely to be cost-benefits to the institution by using an existing system to help to manage research information as well as outputs, as it keeps content accessible from one place and means the School doesn’t need to procure separate systems.

On Policy

We heard from Martin Donnelly from the DCC on National Open Data and Open Science Policies in Europe.  Martin talked about the work done by the DCC and SPARC Europe in assessing policies from across Europe to assess the methodologies used by countries and funders to promote the concept of Open Data across the continent.   They found some interesting variants across countries: some funder driven, others more national directives, plans and roadmaps.  It was interesting to see how a consensus was emerging around best practice and how the EU through its Horizon 2020 Open Research Data Pilot seemed to be emerging as a driver for increased take up and action.

Storage, Preservation and Integration

No research data day would be complete without discussing archival storage and preservation.  Pauline Ward from Edinburgh University gave us an update on Edinburgh DataVault: Local implementation of Jisc DataVault: the value of testing. She highlighted the initial work done at national level by Jisc and the research data Spring project, and went on to discuss the University of Edinburgh’s local version of Data Vault which integrates with their CRIS system (Pure) – allowing a once only upload of the data which links to metadata in the CRIS and creates an archival version of the data.  Pauline also hinted at future integration with DropBox which will be interesting to see develop.

Alan Morrison from the University of Strathclyde continued on the systems integration and preservation theme by giving as assessment of Data Management & Preservation using PURE and Archivematica. He gave us the background to Strathclyde’s systems and workflows between Pure and Archivematica, highlighting some interesting challenges in dealing with file-formats in the STEM subjects which are often proprietary and non-standard.

Dealing with Data Conference 2017 – Call for Papers

[Update: Deadline for submissions has now been extended to Thursday 5th October]

Date:                     Wednesday 22nd November 2017

Location:             Playfair Library

Themes:

  • Balancing openness with privacy – How do you meet funder demands for   open data without exposing research participants sensitive information?
  • Informed consent – Is it possible to get informed consent from a research participant if you don’t know how their data may be used in future?
  • Is your research data Findable, Accessible, Interoperable, and Reusable (FAIR)? – How easy is it to apply the FAIR data principles to your research data?
  • Is open data changing the way you do research? – Has open access to research data helped your research? Have you struggled to access data which ought to be open? Is the need to make our data open taking you away from conducting new research?
  • How have research data tools impacted on your productivity? What tools do you need to work with your research data effectively?

Format:            Presentations will be 15 minutes long, with 5 minutes for questions. Depending on numbers, thematic parallel strands may be used.  Presentations will be aimed at an academic audience, but from a wide range of disciplines. Opening and closing keynote presentations will be given.

Call for proposals:

Open research data is not an end in itself, its purpose is to push research forward by making existing research data available to others so that they can build upon it and in doing so make new discoveries not even envisaged by the original data creators.

The Dealing with Data 2017 one-data conference is your opportunity to talk about how the drive towards open data is affecting your research. How do you balance competing demands for data openness with the right to privacy of research participants? Has access to open data already helped in your research, or are the demands for openness discouraging you from undertaking certain types of project?

Are new tools providing new and exciting ways to work with your data or are you struggling to find tools to help you do what you need?

This is your opportunity to tell fellow researchers how you are benefiting from, or struggling with, the ever changing research data environment.

Please send abstracts (maximum 500 words) to dealing-with-data-conference@mlist.is.ed.ac.uk before Thursday 5th October 2017.  Proposals will be reviewed and the programme compiled by Friday 3rd November 2017.

Kerry Miller
Research Data Services Coordinator
Library & University Collections