Current issues in qualitative data analysis software (QDAS): A user and developer perspective
This paper describes recent issues and developments in Qualitative Data Analysis Software (QDAS) as presented in the opening plenary at the KWALON 2016 conference. From a user perspective, it reflects current features and functionality, including the use of artificial intelligence and machine learning; implications of the cloud; user friendliness; the role of digital archives; and the development of a common exchange format. This user perspective is complemented with the views of software developers who took part in the “Rotterdam Exchange Format Initiative,” an outcome of the conference.
|Keywords||Artificial intelligence, ATLAS.ti, Cassandre, Cloud services, Dedoose, Exchange format, F4analyse, Interoperability, Learning curve QDAS, Machine learning, MAXQDA, NVivo, QDA miner, QDAS, Qualitative data analysis, Qualitative data analysis software, Quirkos, Textual data mining, Transana|
|Journal||The Qualitative Report|
Evers, J.C. (2018). Current issues in qualitative data analysis software (QDAS): A user and developer perspective. The Qualitative Report, 23(13), 61–73. Retrieved from http://hdl.handle.net/1765/113713