Big data for qualitative research / / Kathy A. Mills.
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, com...
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Place / Publishing House: | Abingdon, Oxon ;, New York, NY : : Routledge,, 2019. |
Year of Publication: | 2019 |
Language: | English |
Physical Description: | 1 online resource (91 pages) |
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(CKB)4100000007815331 (MiAaPQ)EBC5732408 (OCoLC)1090060724 (OCoLC-P)1090060724 (FlBoTFG)9780429056413 (EXLCZ)994100000007815331 |
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Mills, Kathy, 1974- author. Big data for qualitative research / Kathy A. Mills. Abingdon, Oxon ; New York, NY : Routledge, 2019. 1 online resource (91 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on print version record. 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. Introduction -- What is big data? -- Big data in historical context -- Challenges of big data for qualitative researchers -- Potentials of big data analytics for qualitative researchers -- Big data ethics, privacy, and dataveillance -- Anticipating big data futures for qualitative researchers. Qualitative research Data processing. Big data. Electronic books. 0-367-17381-6 |
language |
English |
format |
eBook |
author |
Mills, Kathy, 1974- |
spellingShingle |
Mills, Kathy, 1974- Big data for qualitative research / Introduction -- What is big data? -- Big data in historical context -- Challenges of big data for qualitative researchers -- Potentials of big data analytics for qualitative researchers -- Big data ethics, privacy, and dataveillance -- Anticipating big data futures for qualitative researchers. |
author_facet |
Mills, Kathy, 1974- |
author_variant |
k m km |
author_role |
VerfasserIn |
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Mills, Kathy, 1974- |
title |
Big data for qualitative research / |
title_full |
Big data for qualitative research / Kathy A. Mills. |
title_fullStr |
Big data for qualitative research / Kathy A. Mills. |
title_full_unstemmed |
Big data for qualitative research / Kathy A. Mills. |
title_auth |
Big data for qualitative research / |
title_new |
Big data for qualitative research / |
title_sort |
big data for qualitative research / |
publisher |
Routledge, |
publishDate |
2019 |
physical |
1 online resource (91 pages) |
contents |
Introduction -- What is big data? -- Big data in historical context -- Challenges of big data for qualitative researchers -- Potentials of big data analytics for qualitative researchers -- Big data ethics, privacy, and dataveillance -- Anticipating big data futures for qualitative researchers. |
isbn |
0-429-05641-9 0-429-50867-0 0-367-17381-6 |
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H - Social Science |
callnumber-subject |
H - Social Science |
callnumber-label |
H62 |
callnumber-sort |
H 262 M555 42019 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
001 - Knowledge |
dewey-full |
001.42028553 |
dewey-sort |
11.42028553 |
dewey-raw |
001.42028553 |
dewey-search |
001.42028553 |
oclc_num |
1090060724 |
work_keys_str_mv |
AT millskathy bigdataforqualitativeresearch |
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(CKB)4100000007815331 (MiAaPQ)EBC5732408 (OCoLC)1090060724 (OCoLC-P)1090060724 (FlBoTFG)9780429056413 (EXLCZ)994100000007815331 |
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