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.
The aim of the Melbourne_MANTRA project was to review, adapt and pilot an online training program in research data management (RDM) for graduate researchers at the University of Melbourne. Based on the UK-developed and acclaimed MANTRA program, the project reviewed current UK content and assessed its suitability for the Australian and Melbourne research context. The project team adapted the original MANTRA modules and incorporated new content as required, in order to develop the refreshed Melbourne_MANTRA local version. Local expert reviewers ensured the localised content met institutional and funder requirements. Graduate researchers were recruited to complete the training program and contribute to the detailed evaluation of the content and associated resources.
The project delivered eight revised training modules, which were evaluated as part of the pilot via eight online surveys (one for each module) plus a final, summative evaluation survey. Overall, the Melbourne_MANTRA pilot training program was well received by participants. The content of the training modules generally gathered high scores, with low scores markedly sparse across all eight modules. The participants recognised that the content of the training program should be tailored to the institutional context, as opposed to providing general information and theory around the training topics. In its current form, the content of the modules only partly satisfies the requirements of our evaluators, who made valuable recommendations for further improving the training program.
In 2016, the University of Melbourne will revisit MANTRA with a view to implement evaluation feedback into the program; update the modules with new content, audiovisual materials and exercises; augment targeted delivery via the University’s LMS; and work towards incorporating Melbourne_MANTRA in induction and/or reference materials for new and current postgraduates and early career researchers.
The current version is available at: http://library.unimelb.edu.au/digitalscholarship/training_and_outreach/mantra2
Dr Leo Konstantelos
Manager, Digital Scholarship
Research | Research & Collections
University of Melbourne
In collaboration with Scholarly Communications, the Data Library participated in the workshop “Data: photographs in research” as part of a series of workshops organised by Dr Tom Allbeson and Dr Ella Chmielewska for the pilot project “Fostering Photographic Research at CHSS” supported by the College of Humanities and Social Science (CHSS) Challenge Investment Fund.
In our research support roles, Theo Andrew and I addressed issues associated with finding and using photographs from repositories, archives and collections, and the challenges of re-using photographs in research publications. Workshop attendants came from a wide range of disciplines, and were at different stages in their research careers.
First, I gave a brief intro on terminology and research data basics, and navigated through media platforms and digital repositories like Jisc Media Hub, VADS, Wellcome Trust, Europeana, Live Art Archive, Flickr Commons, Library of Congress Prints & Photographs Online Catalog (Muybridge http://hdl.loc.gov/loc.pnp/cph.3a45870) – links below.
From the Library of Congress Prints and Photographs Online Catalog
Then, Theo presented key concepts of copyright and licensing, which opened up an extensive discussion on what things researchers have to consider when re-using photographs and what institutional support researchers expect to have. Some workshop attendees shared their experience of reusing photographs from collections and archives, and discussed the challenges they face with online publications.
The last presentation tackling the basics of managing photographic research data was not delivered due to time constraints. The presentation was for researchers who produce photographic materials, however, advice on best RDM practice is relevant to any researcher independently of whether they are producing primary data or reusing secondary data. There may be another opportunity to present the remaining slides to CHSS researchers at a future workshop.
A range of training courses on research data management (RDM) in the form of half-day courses and seminars have been created to help you with research data management issues, and are now available for booking on the MyEd booking system:
- Research Data Management Programme at the University of Edinburgh
- Good practice in research data management
- Creating a data management plan for your grant application
- Handling data using SPSS (based on the MANTRA module)
- Handling data with ArcGIS (based on the MANTRA module)
These courses and seminars aim to equip researchers, postgraduate research students and research support staff with a grounded understanding in data management issues and data handling.
If you manage research data, provide support for research, or are interested in finding out more about efficient and effective ways of managing your research data these course will be for you.
For detailed information about these courses please go to: http://www.ed.ac.uk/schools-departments/information-services/research-support/data-management/rdm-training
We are also happy to arrange tailored sessions for researchers and research support staff in aspects of research data management from planning through to depositing. Please contact us at IS.Helpline@ed.ac.uk if you would like to arrange a training session.
Senior Research Data Officer
Library & University Collections, IS