Data Champions Search

As the Research Support Librarian at the Department of Engineering I am part of the Technology Libraries team providing library services for the Departments of Engineering, Chemical Engineering and Biotechnology, and Computer Science and Technology. My role includes providing training and advice on research data management and open data. I became a Data Champion in my previous role as the Library Manager at the Cambridge Conservation Initiative, supporting nature conservation researchers from the university and NGOs. I have previous experience, from research during masters degrees, working with ethnographic data in libraries and statistical analysis of palaeobiology data using R.

Mandy Wigdorowitz is Open Research Community Manager for Cambridge University Libraries. She holds a PhD in Theoretical and Applied Linguistics from the University of Cambridge, St John's College, and is a registered Research Psychologist with a Masters in Social and Psychological Research from the University of the Witwatersrand. She is interested in the benefits of open research practices across all research disciplines and is building a community that promotes open research at Cambridge. Her research focuses on understanding language and interaction from linguistic, social, cognitive, and psychological perspectives. Mandy is also the Associate Editor for the Journal of Open Humanities Data, which publishes data papers in disciplines spanning the Humanities.

Before joining the Engineering Library in 2017, I worked in a variety of roles around Cambridge, including supporting researchers with effective communication of their work. I currently support resource and training provision in areas including research skills, open access, reference management etc.

Additional areas of expertise:

Information literacy, research communication, social media use for researchers.

Dr Ulla Sovio, Senior Research Associate in Applied Medical Statistics, studies the prediction of adverse pregnancy outcomes. Her research interests include clinical risk prediction, development of screening tools, and application of longitudinal growth modelling and time-to-event analysis methods. Sovio is currently analysing biomarker data to further improve the identification of high risk pregnancies.

Website:

http://www.obgyn.cam.ac.uk/staff/research-staff/ulla-sovio/

Additional areas of expertise:

Medical statistics, epidemiology, pregnancy research, longitudinal modelling, prediction modelling, survival analysis, biomarkers, Stata.