[Extract] Big data have emerged in an era of heightened digital change, appearing in literature and research since the turn of the 21st century. Big data refer to rapidly produced, digitally encoded information of variety, velocity, volume, value, and veracity (5 Vs) that is used as evidence for a phenomenon, commonly having relationality within data networks (Mills, 2019). While increasingly relevant to qualitative, quantitative, and mixed methods research, this entry discusses big data in qualitative research—a field in which a large variety of nonstatistical data have always been central. Here, the meaning and significance of big data is established, providing examples for qualitative and mixed methods research. A brief history of big da...
Michael Weinhardt (2021) Social Sciences, 10, 36. Open Access Abstract. While big data (BD) h...
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, t...
Abstract — Big Data is another term used to recognize the datasets that because of their extensive s...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
Amid the big claims of big data, analytics, datification, and data mining, this article answers cent...
This lecture explores the different meanings and uses of the term "big data". It considers the exten...
This volume seeks to address the emerging relationships between qualitative research and digital dat...
What is really 'new' in Big Data? - Big Data seems to be a hype that has been emerging during the pa...
Big data” describes technologies that promise to fulfill a fundamental tenet of research in informat...
The volume of data is constantly growing due to the explosion of machine-generated data and human i...
“Big data” describes technologies that promise to fulfill a fundamental tenet of research in informa...
METHODS:Thirty-nine interviews were performed with Swiss and American researchers involved in Big Da...
Michael Weinhardt (2021) Social Sciences, 10, 36. Open Access Abstract. While big data (BD) h...
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, t...
Abstract — Big Data is another term used to recognize the datasets that because of their extensive s...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
Big Data for Qualitative Research covers everything small data researchers need to know about big da...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
Digitalization of everyday lives has tremendously increased the amount of digital (trace) data of pe...
Amid the big claims of big data, analytics, datification, and data mining, this article answers cent...
This lecture explores the different meanings and uses of the term "big data". It considers the exten...
This volume seeks to address the emerging relationships between qualitative research and digital dat...
What is really 'new' in Big Data? - Big Data seems to be a hype that has been emerging during the pa...
Big data” describes technologies that promise to fulfill a fundamental tenet of research in informat...
The volume of data is constantly growing due to the explosion of machine-generated data and human i...
“Big data” describes technologies that promise to fulfill a fundamental tenet of research in informa...
METHODS:Thirty-nine interviews were performed with Swiss and American researchers involved in Big Da...
Michael Weinhardt (2021) Social Sciences, 10, 36. Open Access Abstract. While big data (BD) h...
Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, t...
Abstract — Big Data is another term used to recognize the datasets that because of their extensive s...