Category: digital research methods

Big Qual – Why we should be thinking big about qualitative data for research, teaching and policy

When social scientists think about big data, they often think in terms of quantitative number crunching. However, the growing availability of ‘big’ qualitative datasets presents new opportunities for qualitative research. In this post, Lynn Jamieson and Sarah Lewthwaite explore how ‘big qual’ can be deployed as a distinct research methodology to develop new forms of qualitative research and elucidate complex interactions […]

With great power comes great responsibility: crowdsourcing raises methodological and ethical questions for academia

Crowdsourcing offers researchers ready access to large numbers of participants, while enabling the processing of huge, unique datasets. However, the power of crowdsourcing raises several issues, including whether or not what initially emerged as a business practice can be transformed into a sound research method. Isabell Stamm and Lina Eklund argue that the complexities of managing large numbers of people […]

Patient experience feedback: we need to engage with the issues of using Big Data methods to capture the human voice

The NHS regularly asks its patients to complete surveys reporting on the quality of care they have received. These surveys include opportunities for patients to submit feedback in their own words. Carol Rivas describes how computational and digital methods can be used to analyse and report patient feedback in an efficient and timely manner. However, it is important to recognise […]