Taguette is an open-source qualitative data analysis (QDA) software for researchers and analysts working with text-based data. The software is tailored explicitly for coding and analyzing textual data in a collaborative and user-friendly environment. Taguette is suitable for various qualitative research projects, such as content analysis, thematic analysis, and other qualitative data coding and interpretation forms.
Some notable features of Taguette include:
- Open source: Taguette is an open-source software; that is, its source code is freely available to the public. Users can download, use, and modify the data analysis software as needed.
- Cross-platform compatibility: Taguette is designed to work on various operating systems, including Linux, Windows and macOS, making it accessible to many users.
- Text coding: Users can code text segments by applying tags to specific data portions. This process helps in categorizing and organizing information for analysis.
- Collaboration: Taguette supports collaborative work, allowing multiple researchers to work on a project simultaneously. This can enhance teamwork and streamline the coding process.
- Flexibility: Taguette is designed to be flexible and adaptable to different research projects. It can be used for various types of qualitative data analysis, and its simplicity makes it accessible to both novice and experienced researchers.
- Data import and export: The software allows users to import text data from various sources and provides options for exporting coded data for further analysis or sharing with other tools.
List of recommended resources #
For a broad overview #
This webinar, part of the IASSIST Professional Development Webinars, hosted by Beth Duckles and Vicky Steeves, gives an introduction to the open source qualitative data analysis tool Taguette and its various features.
These presentation slides combined by Vicky Steeves, Rachel Ludeke, and Patrick Bond for NYU Data Services give an overview of Taguette, the steps for installing the software, creating projects and using its various features.
For in depth understanding #
This document by NYU Data Services provides a how-to-do guide for working on Taguette and combining work on Google Sheets with Taguette output and analysis.
This paper by Remi Rampin and Vicky Rampin analyzes the free and open source computer-assisted qualitative data analysis software Taguette, along with its characteristic features.
Case study #
This research article by Charles Fosu-Ayarkwah, Gordon Gyeabour Fosu, and Isaac Awortwe examines the effects of teachers’ supervision on the safety of kindergarten pupils in the K.E.E.A municipality of Ghana. The study uses the data analysis software Taguette for highlighting quotes and phrases from the interviews that are significant to the research.
This paper by Alex Omari, Dr. Novianto Budi Kurniawan & Dr. Dadang Ramdhan uses Taguette software to conduct a qualitative analysis of the data collected for determining how decision-making occurs when developing reproductive health policies and exploring the role of the ad hoc committee of experts and the COVID-19 Task Force.