*Due to unforeseen circumstances we are longer accepting applications for this course*

Libby Bishop (Ph.D.) is Manager for Producer Relations at the UK Data Archive (University of Essex). She provides support and training on data management to researchers and data producers, with specialisation in ethics of data use: consent, confidentiality, anonymisation and secure access to data. She teaches workshops on secondary analysis of qualitative data. Recent publications include a chapter on reusing qualitative data and a forthcoming article on the challenges of sharing and archiving social media data.

Maureen Haaker is a Lecturer in Childhood Studies at the University of Suffolk. She has worked for six years at the UK Data Archive and so also specialises in qualitative secondary analysis. Her publications and current research interests are in the field of sociology and qualitative secondary analysis. Her current research is Conceiving Subjectivity, which explores women’s stories of pregnancy and how they negotiate their subjectivity.

Course Content
This course is designed for researchers aiming to reuse qualitative data in their own work. Secondary analysis means reusing data created from previous research projects for new purposes. Through presentations and practical sessions, participants will learn about the key issues in secondary analysis including: consent for secondary use, methodological challenges, data context and sampling. Participants will also gain direct experience of finding and accessing qualitative data from the UK Data Service and engage in other hands-on sessions focusing on:
• how to read, interpret, and analyse data collected by others
• assessing the meaning and use of documentation and other contextual material
• sampling strategies for secondary analysis
• considering ethical questions that arise when reusing data
• funding sources for conducting research using secondary analysis.

Course objectives
The aim of this course is to provide participants with the knowledge to understand the key debates surrounding SAQD and the skills to begin their own secondary analysis projects. Typical projects could include student dissertations or theses using a combination of existing and newly generated data, or research projects relying solely on existing data sources. Successful participants will be capable of finding and selecting relevant materials from existing data collections, and integrating existing data their own research and teaching.

Course prerequisites:
The workshop is suitable for all researchers who are contemplating, or already using, secondary analysis of qualitative data in their research. Some familiarity with qualitative research methods is a prerequisite. Participants will be expected to provide a small sample data extract from their own works for other participants to analyse. However, arrangements will be made for those without their own data. This course is NOT an introduction to qualitative data analysis. Participants will have the opportunity to register with the UK Data Archive during the course.

Required reading – This chapter will be provided as part of your course material.
Bishop, L. (2016) ‘Secondary analysis of qualitative data’ in D. Silverman (ed.) Qualitative Research, 4th ed. London: Sage.

Course Fee

Standard 17.5hr course fee £550 however if booked with Course 1H Qualitative Data Analysis then a 50% discount is applicable.

Day 1: Introduction to Secondary Analysis of Qualitative Data (SAQD)
• Welcome and introduction to the course
• General introduction to SAQD – varied ways of reusing data
• A case study of reusing qualitative data (guest speaker-TBC)
Pre-work reminder: prepare your data extract if not done yet

Day 2: Key issues in SAQD – part 1 of 2
• Context – where did the data come from? Does “being there” matter?
• Ethical issues in reusing data – for participants and researchers
Practical session: a case study of an ethics challenge

Day 3: Key issues in SAQD – part 2 of 2
• Sampling
• Other methodological considerations
Practical session: sampling exercise
Homework reminder: read data extracts if you have not already done so

Day 4: Reading and analysing data someone else’s data
• Review questions from data exchange exercise hand-out
• Read and discuss data extracts
o What issues of potential analytic interest emerge from this data extract?
o What aspects of context do you think a reuser needs to know?
• Brief reflections on the experience of having others read your data

Day 5: Practicalities of starting your own SAQD project and Sharing Data
• Finding and accessing data – at the UK Data Service and elsewhere
• Other ways you might want to reuse data – teaching research methods
• Sharing data – making your data available for secondary analysis

Further Reading

Bishop, L. (2012) ‘Using archived qualitative data for teaching: Practical and ethical considerations’ International Journal of Social Research Methodology 15(4). [Special Issue: Perspectives on working with archived textual and visual material in social research], 341-350, http://www.tandfonline.com/doi/abs/10.1080/13645579.2012.688335#

Bornat, J., Raghuram, P. and Henry, L. (2012). ‘Revisiting the Archives: A Case Study from the History of Geriatric Medicine’ Sociological Research Online, 17(2), http://www.socresonline.org.uk/17/2/11.html

Gallwey, A. (2013) ‘The rewards of using archived oral histories in research: the case of the Millennium Memory Bank’, Oral History, 41(1), 37-50.

Hammersley, M. (2010) Can we re-use qualitative data via secondary analysis? Sociological Research Online, 15(1)5, http://www.socresonline.org.uk/15/1/5.html. Accessed: 23 Sept 2015.

Morrow, V., Boddy, J. and Lamb, R. (2014) ‘The Ethics of Secondary Data Analysis: Learning from the Experience of Sharing Qualitative Data from Young People and their Families in an International Study of Childhood Poverty’, NCRM NOVELLA Working Paper, London: Institute of Education. http://www.younglives.org.uk/publications/WP/ethics-secondary-data-analysis-novella/novella_morrow-et-al_wp.
And more: https://www.ukdataservice.ac.uk/use-data/secondary-analysis/reusing-qualitative-data/reuse-articles