Data Collection in Times of Pandemic: A Self-Study and Revisit of Research Practices During a Crisis

Abstract

COVID-19 as a global pandemic has greatly disrupted research, not only in terms of the practicality of research activities such as data collection, but also in data quality. Using self-study in form of duoethnography method for reflecting on research practice, this article reviews and reflects on the practices of remote data collection during the pandemic and further revisits additional issues brought about by these practices and concerns. One key observation from this self-study is the prevalence of practical challenges, particularly those related to participant access, that overshadows the potential advantages of remote data collection as well as other challenges. This challenge results in researchers’ reduced control of the research process and also a requirement for more flexibility, greater sensitivity toward the participants and research skills for the researchers. We also observe greater conflation of quantitative and qualitative data collection and the emergence of triangulation as the main strategy to offset potential threats to data quality. This article concludes by calling for more discussions on several areas that feature scarce discussion in literature, including potential rhetoric importance assigned to data collection, adequacy of triangulation to safeguard data quality, and the potential difference between COVID-19’s impact on quantitative and qualitative research.