As we think about data sources/types, we must also keep in mind the methodological perspective(s) that we take up and the theoretical orientation(s) that frame our understandings. These considerations are also related to our own perspectives about where we think knowledge lies and who we believe is part of the knowledge construction process. I talk a bit about this in the first video.
Furthermore, when we consider qualitative data sources, it is often helpful to think about 'organizing frameworks' that help us distinguish between data types. Silverman (2001) and many others have made distinctions between researcher-generated data and naturally-occurring data. I consider these distinctions in the video below.
Here are a few examples of naturally-occurring data sets available online:
- https://archive.org/
- http://cadensa.bl.uk/uhtbin/cgisirsi/x/x/0/49/%20;%20charset=UTF-8
- http://www.paultenhave.nl/Forrester.htm
- http://www.ucl.ac.uk/ls/cava/faq.shtml
There are a variety of digital tools that support a qualitative researcher who goes about the challenging work of collecting researcher-generated and/or naturally-occurring data. When we think about interviewing, for example, we must carefully consider how we go about recording the interview data (see http://www.sagepub.com/paulus/study/Chapter%205/top-tips-recorders.pdf). If you use mobile devices to collect data, there are certainly pitfalls to consider and hopefully avoid (see http://www.surrey.ac.uk/sociology/research/researchcentres/caqdas/support/integrating/georeferencing_and_caqdas_mobile_interviewing_experiences_and_pitfalls.htm).
Across data types, qualitative researchers frequently spend time audio or video-recording data. This week we read two articles (Gratton & O'Donnell, 2011 and Matthews & Cramer, 2008) that highlighted how the Internet might serve as a tool for data collection. The authors illustrated how emergent technologies act to expand who participates in the knowledge construction process. Others have highlighted this reality as well (http://www.nova.edu/ssss/QR/QR13-2/downing.pdf). Alongside the excitement around technologies expanding the data collection landscape, there remains a commitment to understanding the methodological impact(s) of new technologies. I talk more about this in the next video.
To further are thinking around this topic, let's engage in some dialogue around the following two questions:
- How might technology enhance our understanding a given phenomenon?
- What are the ways in which we can ensure ethical practices as we generate data for our research studies?
References
Silverman, D. (2001). Interpreting qualitative data: Methods for analysing text, talk and interaction.
London, UK: SAGE.
