Making the most of your qualitative transcripts with a bit of computing

This session is part of a series of three free in-person workshops for researchers, held 29-30 September at the University of Sydney by the Language Data Commons of Australia (LDaCA), the RAPID-CDL project, and the Sydney Informatics Hub, co-hosted by the Sydney Corpus Lab and the Computational Social Science Lab. Each session stands alone: register for any one, or come to all three. Open to researchers from all disciplines and universities (HDR students especially welcome), and please bring your own laptop for these interactive sessions.

Qualitative research projects sometimes get away from us and we find that we have more material from our interviews than we know what to do with. This workshop aims to give you a pathway for navigating 'too much' with a little bit of computational assistance and without giving up on the core qualitative foundation of your work.

We'll work through a case study and some demonstration tools from the Language Data Commons of Australia to help you:

• Make the most of your transcripts by identifying consistency issues that will confuse a computer (and yourself and your collaborators)
• Work through the process of transforming some example transcripts into a more consistent and structured format
• Demonstrate some possibilities for computers to help you search and find things when you have ‘too much’
• Demonstrate computational methods that might help you address the 'big picture' or what you might be missing, while still being able to closely read your transcripts

Venue: Western Tower Boardroom (room S495, level 4), The Quadrangle (A14), The University of Sydney

Please register with your institutional email address; we may contact registrants with personal addresses to confirm their affiliation.

Also in this series:

https://www.eventbrite.com.au/e/1999369770806/

https://www.eventbrite.com.au/e/1999370488954/

The Language Data Commons of Australia (LDaCA)(DOI: 10.3565/kq2v-9g52) and RAPID CDL (DOI: 10.3565/y37z-4y53) are co-investment partnerships with the Australian Research Data Commons (ARDC) through the HASS and Indigenous Research Data Commons. The ARDC is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS).