QDA Miner


QDA Miner


QDA Miner is an easy-to-use qualitative data analysis software for organizing, coding, annotating, retrieving, and analyzing collections of documents and images. QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. QDA Miner offers more computer assistance for coding than any other qualitative research software on the market. 


Allows you to code and analyze documents more quickly but also more reliably.

QDA Miner’s seamless integration with WordStat, a content analysis and text mining software and SimStat, a statistical analysis tool, gives you unprecedented flexibility to analyze text and relate its content to structured information, including numerical and categorical data. 

Import Word, Excel, HTML, XML, SPSS, Stata, NVivo, PDFs, as well as images. Connect and directly import from social media, emails, web survey platforms, reference management tools, LexisNexis, and Factiva 

Code and annotate text segments and images using features that provide greater flexibility and ease of use. 

Use flexible memoing and hyperlinking features to annotate documents and images and connect various pieces of qualitative evidence by creating links to other coded segments, cases, documents, files, or websites. 

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OS Supported

Windows 10

Apple MacOS

License Details

This license is an annual subscription purchased by Saint Mary's University

Available to



Personal devices and university-owned devices

How to Get

For Students/Staff/Faculty: QDA Miner is available via AppsAnywhere.smu.ca

Faculty only: For special requests, please contact EIT Helpdesk at helpdesk@smu.ca.  If you have the program already installed on a university computer but need the license, please visit this article for the file.


For more information, visit https://provalisresearch.com/products/qualitative-data-analysis-software/ 


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Article ID: 530
Tue 3/16/21 10:39 AM
Fri 7/15/22 12:58 PM