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UID:pretalx-2020-7BQGHK@conferences.acspri.org.au
DTSTART;TZID=AEST:20201202T162500
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DESCRIPTION:Software for qualitative research remains dominated by applicat
 ions that suffer from a number of problems related to their commercial and
  proprietary nature. They are expensive for those with limited means\, inc
 luding notably researchers in the developing world\; opaque in their opera
 tion\, preventing independent verification of results\; and lack common st
 andards for data storage and interchange\, effectively locking users into 
 their continued exclusive use. Yet the problems addressed by qualitative r
 esearch software are well-understood and its functions largely standardise
 d\, making it suitable for open source solutions that address those proble
 ms. In addition\, open source software offers significant advantages\, not
 ably the ability to integrate a vast collection of existing high quality s
 oftware libraries\, and to cultivate a community of users and developers t
 o participate in its ongoing improvement.\n\nIn the course of his work as 
 a researcher and research consultant\, the author has written a collection
  of software tools called BarraQDA that provide the fundamentals of an ope
 n source application for qualitative research. BarraQDA defines a simple a
 nd open file format to store research projects and Python scripts to creat
 e\, manipulate and report on them. Crucially for researchers who need to m
 aintain continuity with their current methods\, it includes programs to tr
 anslate data between BarraQDA and NVivo file formats (both Mac and Windows
  versions).\n\nBarraQDA offers a number of immediate possibilities that ar
 e beyond the ability of proprietary applications. First\, operations can b
 e automated or integrated into other data processing routines. Instead of 
 time-consuming\, repetitive and error-prone interactions using the keyboar
 d and mouse\, scripts can be written that quickly and accurately perform o
 perations such as defining and editing sources and tags\, and tagging sour
 ces according to algorithmically defined criteria. Second\, other software
  tools\, most notably but not limited to the vast collection of Python lib
 raries\, can easily be incorporated into the process of building\, queryin
 g and reporting on qualitative research projects. Third\, all its operatio
 ns are described in a textual format which can be published alongside the 
 research results\, providing a means for others to verify the analysis and
  replicate its results.\n\nGiven the functions that BarraQDA can currently
  perform\, it is worth considering whether it might now or in the foreseea
 ble future be usable as a substitute for existing QDA applications. The pr
 imary core component that it lacks is the tagger\,  that is the system whe
 reby users manually select and tag sections of source materials. The tagge
 r is somewhat complex and delicate to implement\; it should reflect the re
 al working environment of qualitative research by supporting a wide variet
 y of source types (text\, image\, audio\, video\, social media feeds and s
 o on) and formats for storing those types. In addition\, the work of taggi
 ng is by nature painstaking\, repetitive and error-prone\, so the user int
 erface needs to be carefully tailored to mitigate these difficulties. At p
 resent\, work is proceeding on a number of different approaches to creatin
 g an open source tagger\, although none is further advanced than a prototy
 pe.
DTSTAMP:20260308T074744Z
LOCATION:Zoom Breakout Room 1
SUMMARY:Open Source Software for Qualitative Data Analysis: Introducing Bar
 raQDA - Jonathan Schultz
URL:https://conferences.acspri.org.au/2020/talk/7BQGHK/
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