LISTEN
Collaborative and Digital Analysis of Big Qual Data in Time Sensitive Contexts (LISTEN) method
Project Summary
We are a multidisciplinary team of researchers from the Rapid Research Evaluation and Appraisal Lab – RREAL (UCL) and the Oxford Vaccine Group (Oxford University). We are developing the LISTEN method - ‘Collaborative and Digital Analysis of Big Qual Data in Time Sensitive Contexts’ funded by the UKRI under the scheme “Better methods, better research”.
LISTEN includes our interdisciplinary approach that connects the human insight of collaborative and participatory methods, and expertise in digital analysis software. In this project, we will consolidate this combination of methods and systematize our approach to analyse large sets of qualitative data as an invaluable source of data that answers the “how” and “why” in time sensitive contexts.
Our LISTEN method will be developed by delivering 4 work packages (informing the LISTEN method using a systematic review; testing the LISTEN method; evaluating the LISTEN method; and developing the LISTEN manual), over the course of 2 years.
The aims of the project can be found below
- To inform and refine a method for collaborative and digital rapid analysis of big qualitative data - a large amount of complex qualitative data that can be analysed using advanced methods or tools.
- To test the method with real datasets developed in the context of emergency responses.
- To evaluate method quality indicators and implementation requirements.
- To co-develop fidelity assessment tools, educational materials, and consolidate a network of experts, and to promote the use of this approach in a wide range of organisations and contexts.
Should you be interested in this topic or wish to contribute with your expertise, please do not hesitate to get in touch with us.
Key Project Information
Dates: November 2022 – November 2024
Principal Investigator: Prof Cecilia Vindrola
Co-PI: Dr Norha Vera San Juan
Partners: Dr Elaine Flores (Epidemiology and Population Health, London School of Hygiene and Tropical Medicine)
Dr David Aceituno (School of Psychology, Pontifical Catholic University of Chile)
Dr Vanessa Lawrence (Health Service & Population Research, Kings College London)
Natalia Nino Machado (School of Medicine, University of the Andes)
Patrick Nyikavaranda (Primary Care and Public Health, Brighton and Sussex Medical School)
Location: United Kingdom
Funding: MRC-UKRI
Contact: sigrun.clark@ucl.ac.uk
Dr Norha Vera San Juan (Co-PI)
Dr Sam Martin (Co-I)
Prof Samantha Vanderslott (Co-I)
Sigrún Clark (Research Assistant)
Abinaya Chandrasekar (Research Assistant)
Big Qual Innovations Symposium 2024
The International Symposium on Big Qualitative Data Analysis methods will take place on 23rd September 2024.
Publications
Related Projects
RREAL website link for information about other work carried out at RREAL: https://www.rapidresearchandevaluation.com/
STREAM UCL page: https://www.ucl.ac.uk/global-health/stream
STREAM webpage: https://www.rapidresearchandevaluation.com
