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.