Big data for qualitative research
Mills, Kathy A.. (2019). Big data for qualitative research Routledge. https://doi.org/10.4324/9780429056413
|Authors||Mills, Kathy A.|
Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena.
This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers.
This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.
|Keywords||big data; qualitative research; research data; ethics; text mining; sentiment analysis; data privacy; data ownership; data visualization; netnography; research methods; multimodal analysis; rythmanalysis|
|Digital Object Identifier (DOI)||https://doi.org/10.4324/9780429056413|
|Funder||Australian Research Council (ARC)|
|Open access||Published as ‘gold’ (paid) open access|
|Research Group||Institute for Learning Sciences and Teacher Education (ILSTE)|
|Is supplemented by||Developing the multimodal language of emotions of low SES primary students (LP150100030, 2016-2019)|
File Access Level
|Online||20 Mar 2019|
|ARC Funded Research||This output has been funded, wholly or partially, under the Australian Research Council Act 2001|
|Place of publication||London, United Kingdom|
|New York, NY|
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