Digital Tools for Qualitative Research

This course introduces participants to how both free and proprietary technologies can be used to create innovative workflows to support the entire qualitative research process. This includes becoming networked scholars through a variety of social media platforms; engaging in a paperless literature review by using cloud storage, citation management software, annotating apps and data analysis software; collecting data with mobile apps; transcribing with state-of-the-art innovations; selecting the right qualitative data analysis software; and writing research reports through storyboarding.

Not only will participants gain a comprehensive introduction to the most recent digital tool developments as they apply to qualitative research, but, through detailed demonstrations by the instructor, they will also learn how to analyze critically the affordances and constraints of such tools and the ethical implications of their use. Participants will get a sneak peek of Doing Qualitative Research with Digital Tools, forthcoming from Sage in 2019.

Topics and tools will include:

  • Networking through academic social media platforms (, Google Scholar profiles, and ResearchGate)
  • Developing a paperless literature review process using cloud storage (Dropbox), citation management software (Mendeley), annotating apps (GoodReader), and QDAS tools (ATLAS.ti 8)
  • Collecting data through mobile apps (ATLAS.ti, Evernote), social media sites (Twitter), and GeoDocs (Google Earth)
  • Transcribing in ways that synchronize the media file with the text (Inqscribe and Youtube) and enable “hands-free” transcription (Dragon Dictate and Google Voice)
  • Selecting an appropriate qualitative data analysis software package (e.g. DeDoose, ATLAS.ti, MAXQDA, NVivo, Quirkos)
  • Managing the writing process through storyboarding (Scrivener)

The purpose of the workshop is to provide a comprehensive demonstration, rather than a tutorial, of how these digital tools can support efficient, effective, and theoretically-grounded methodological work.