Organizing Big Web Data: The Tidy Qualitative Data Concept and Criteria

Authors

Vlad Krotov, Murray State UniversityFollow

Abstract

The vast repositories of qualitative data available on the web present academic and industry researchers with numerous opportunities for answering important research questions with more rigor, precision, and timeliness. Harnessing this data for the purpose of further analysis requires putting it into a tidy format. To assist researchers with organization of qualitative web data, this paper develops the concept of tidy qualitative data. A list of seven specific criteria is proposed to operationalize this definition and provide practical guidelines to researchers on how to prepare qualitative data from the web for further analysis. A short case study illustrating an application of these principles of tidy qualitative data is also provided.

Recommended Citation

Krotov, Vlad (2025) "Organizing Big Web Data: The Tidy Qualitative Data Concept and Criteria," Journal of the Midwest Association for Information Systems (JMWAIS): Vol. 2025: Iss. 1, Article 2.
DOI: 10.17705/3jmwa.000092
Available at: https://aisel.aisnet.org/jmwais/vol2025/iss1/2

DOI

10.17705/3jmwa.000092