A spin on the phrase "tag it!", Taguette is a free and open source qualitative research tool that allows users to:
- Import PDFs, Word Docs (.docx), Text files (.txt), HTML, EPUB, MOBI, Open Documents (.odt), and Rich Text Files (.rtf).
- Highlight words, sentences, or paragraphs and tag them with the codes *you* create.
- Group imported documents together (e.g. as 'Interview' or 'Lit Review').
- Export tagged documents, highlights for a specific tag, highlights for all tags, and a list of tags with their descriptions.
...and much more! You can view our development queue on GitLab here: https://gitlab.com/remram44/taguette/issues. You can always add feature requests, bug reports, or general feedback via GitLab issues. If you are not sure how to do that, feel free to email us your feedback at firstname.lastname@example.org.
Why did we make Taguette?
Qualitative methods generate rich, detailed research materials that leave individuals’ perspectives intact as well as provide multiple contexts for understanding phenomenon under study. Qualitative methods are used by a wide range of fields, such as anthropology, education, nursing, psychology, sociology, and marketing. Qualitative data has a similarly wide range: observations, interviews, documents, audiovisual materials, and more.
However - the software options for qualitative researchers are either far too expensive, don't allow for the seminal method of highlighting and tagging materials, or actually perform quantitative analysis, just on text.
It's not right or fair that qualitative researchers without massive research funds cannot afford the basic software to do their research.
So, to bolster a fair and equitable entry into qualitative methods, we've made Taguette!
Taguette was developed by Rémi Rampin. Vicky Steeves and Sarah DeMott provided the functional requirements, user needs, and testing in order to influence the development process.