Qualitative Big Data’s Challenges and Solutions: An Organizing Review

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

64 Lataukset (Pure)

Abstrakti

Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of people’s behaviour available for researchers. However, traditional qualitative research methods struggle with the width and breadth of the data. This paper reviewed 61 recent studies that had utilized qualitative big data for the practical challenges they had encountered and how they were addressed. While quantitative and qualitative big data share many common issues, the review points at that lack of qualitative methods and dataset reduction required by algorithms in big data research decreases the richness of the qualitative data. Locating relevant data and reducing noise are further challenges. Currently, these challenges can be only partially addressed with a combination of human and computer pattern recognition and crowdsourcing. The review describes many “tricks of the trade” but abduction research and pragmatist philosophy seem promising starting places for a more pervasive framework.
AlkuperäiskieliEnglanti
OtsikkoProceedings of the 54th Hawaii International Conference on System Sciences
KustantajaHawaii International Conference on System Sciences
Sivut980-989
ISBN (elektroninen)978-0-9981331-4-0
TilaJulkaistu - 5 tammik. 2021
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaAnnual Hawaii International Conference on System Sciences - Virtual, Online, Maui, Yhdysvallat
Kesto: 5 tammik. 20218 tammik. 2021
Konferenssinumero: 54

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
LyhennettäHICSS
Maa/AlueYhdysvallat
KaupunkiMaui
Ajanjakso05/01/202108/01/2021

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