This working paper brings together the reflections of a wide range of international researchers to explore, showcase and reflect critically on the potentials and challenges of analysing large volumes of complex qualitative, and qualitative longitudinal (QLR) data, including archived material. Big Qual analysis is a new area for qualitative work and there is little guidance on how best to work with masses of qualitative material. The working paper comprises a set of blogs housed in the ‘Big Qual Analysis Resource Hub’ (http://bigqlr.ncrm.ac.uk/). We created this website to map the progress of our ESRC National Centre for Research Methods research project ‘Working across qualitative longitudinal studies: a feasibility study looking at care an...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
[Extract] Big data have emerged in an era of heightened digital change, appearing in literature and ...
In this paper we discuss the special challenges that data archives face when archiving and preparing...
This working paper brings together the reflections of a wide range of international researchers to e...
The focus of today’s blog is on the process of identifying qualitative material from multiple archiv...
Bespoke teaching data set for Timescapes Archive, containing six merged qualitative longitudinal dat...
The sharing and re-use of data is encouraged by major research funding bodies in the UK as a way of ...
In this article, the authors discuss critical factors to be considered when analyzing complex qualit...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
Health services research is multifaceted and impacted by the multiple contexts and stakeholders invo...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
In recent years, data sharing and data reuse in scientific research have been discussed in greater ...
This paper provides a short tour through the 20 plus years of archiving and sharing qualitative data...
Objective: Big social data (such as social media and blogs) and archived qualitative data (such as i...
Over the past decade, there has been a growing trend towards the use of ‘big qualitative data’ in ap...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
[Extract] Big data have emerged in an era of heightened digital change, appearing in literature and ...
In this paper we discuss the special challenges that data archives face when archiving and preparing...
This working paper brings together the reflections of a wide range of international researchers to e...
The focus of today’s blog is on the process of identifying qualitative material from multiple archiv...
Bespoke teaching data set for Timescapes Archive, containing six merged qualitative longitudinal dat...
The sharing and re-use of data is encouraged by major research funding bodies in the UK as a way of ...
In this article, the authors discuss critical factors to be considered when analyzing complex qualit...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
Health services research is multifaceted and impacted by the multiple contexts and stakeholders invo...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
In recent years, data sharing and data reuse in scientific research have been discussed in greater ...
This paper provides a short tour through the 20 plus years of archiving and sharing qualitative data...
Objective: Big social data (such as social media and blogs) and archived qualitative data (such as i...
Over the past decade, there has been a growing trend towards the use of ‘big qualitative data’ in ap...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
[Extract] Big data have emerged in an era of heightened digital change, appearing in literature and ...
In this paper we discuss the special challenges that data archives face when archiving and preparing...