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Webinar: Whats and Hows? The domain ontology model representation of the contemporary field of qualitative research practices
Whats and Hows? The domain ontology model representation of the contemporary field of qualitative research practices
Date: 29th July 2020
14:00 (UTC+01:00 – Dublin, Edinburgh, Lisbon, London)
15:00 (UTC+02:00 – Berlin, Rome, Paris, Madrid)
21:00 (UTC+08:00 – Manila, Beijing, Kuala Lumpur, Singapore)
Duration: 45 minutes
Hosted by: Grzegorz Bryda (Jagiellonian University)
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The nature of qualitative research practices is multiparadigmaticity which creates coexistence of several different methodologies. So it is difficult to draw a consistent and coherent image of the field of qualitative research. This paper tackles the problem of a “curse of abundance” in the present-day field of qualitative research practices. The goal is to analytically recognize the dominant ways by which qualitative research designs and those practices are conceptualized and represented in methodological language of scholarly articles, to organize current knowledge about these practices, and to articulate this erudition in a legible system of representation. The methodology is based upon the discovery of knowledge in text databases (textual corporas) approach, the systematization this knowledge by pointing out connections and relations formed between paradigms, methodological trends, and the methods and techniques for conducting qualitative research and data analysis as made manifest in the language used by published researchers. The analytical aim of this study is to create a model of the knowledge representation of research designs and practices by building domain ontology of contemporary field of qualitative research. The corpus analysis is grounded in traditional CAQDAS and mixed content analysis with combination of dictionary based approach, natural language processing and text mining procedures. This investigation links know-how drawn from the fields of sociology, data mining, social science computing, corpus linguistics by employing the information technology concept of domain ontology. This article is also a methodological reflection on the CAQDAS development process that is moving through Content Analysis towards the usage of Knowledge Discovery in Textual Databases and Text Mining procedures in qualitative data analysis.
Grzegorz Bryda – Assistant Professor at the Institute of Sociology of the Jagiellonian University, Head of the CAQDAS TM LAB and the Summer School for Qualitative Data Analysis and Research Methods, Senior Consultant for Statistical Analysis and Data Mining and Lecturer at the Training Center of SPSS Polska (currently IBM Predictive Solutions, 2003–2009), Rector’s Proxy for the Jagiellonian University Evaluation System of Quality Assurance (2008-2017), member of CLARIN PL scientific board (since 2017), lecturer at CAQDAS Summer School in Poland. He has a professional skills in conducting quantitative and qualitative research, moderating discussion groups (+450 FGI) and in-depth interviews (+250 IDI), statistical and qualitative data analysis, qualitative data modeling using NLP and text mining techniques, content analysis and CAQDAS. He is interested in Narrative Research and CAQDAS Analysis, Cognitive Sociology and Corpus Linguistics, Digital Humanities and Social Science Computing, CAQDAS and Linguistics data modelling with NLP and Text Mining approach in QDA. He is working on pioneering project: From paradigm to the research method. The domain ontology as a model of knowledge representation about the contemporary field of qualitative research. He works with public institutions and private companies as a methodologist and data analyst in the business projects.
Contact address: CAQDAS TM Lab, Institute of Sociology, Jagiellonian University, 31-044 Krakow, ul. Grodzka 52 e-mail: email@example.com
- July 29
14:00 - 15:00
- Event Category:
- Event Tags:
- CAQDAS, content analysis, corpus linguistics, data analysis, data mining, natural language processing, qualitative analysis, Qualitative Data Analysis, qualitative Methods, qualitative research, qualitative research methods, Research, research design, Research Methods, research practices, social science computing, sociology, text databases, webQDA
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