Secondary analysis offers a great option for dissertation students who are looking to gain experience working with data but who have limited abilities to go out into the field or would like to study a hard-to-reach population.
This free workshop will take you through the research process of a secondary analysis project, including an overview of the methodological and ethical issues.
Join us to learn how to access and get started with quantitative and qualitative data and discuss some key points to include in your dissertation write-up.
As part of this interactive workshop, you'll be given a guided walk-through of some of our data catalogue pages, and get to explore a downloaded dataset and test your knowledge of the research cycle.
If you are a final year student looking for inspiration for your current project or simply trying to evaluate options for next year’s dissertation, this workshop will help you start thinking about how to complete a successful secondary analysis project and ensure you get valuable research experience during your degree.
Presenters: Maureen Haaker and Alle Bloom.
Maureen has worked with the UK Data Service for over 12 years supporting researchers and institutions in managing, preserving, and sharing qualitative data ethically and effectively. She runs training sessions on research data management, advises on best practices in data curation and anonymisation, and has worked on special projects, including a UKRI-funded project exploring uses of synthetic data in Trusted Research Environments (TREs). She is co-editor of the IASSIST Qualitative Data Special Interest Group and a member of the DDI Working Group developing metadata standards for qualitative data.
Alle is a Research Associate with the UK Data Service at the University of Manchester, providing support and training to researchers in accessing, understanding, and using social science data. Her previous projects include developing training resources for undergraduate and postgraduate students, creating interactive learning modules on different data types, and collaborating with international data providers to improve data discovery.
This is an introductory workshop which assumes no prior experience of using archived data.
Target audience: Undergraduate and postgraduate students completing dissertations
We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.
