Collecting Vertical Trace Data: Big Possibilities and Big Challenges for Multi-Method Research

Menchen-Trevino, E. (2013). Collecting Vertical Trace Data: Big Possibilities and Big Challenges for Multi-method Research. Policy & Internet, 5(3), 328-339. doi: 10.1002/1944-2866.POI336

11 Pages Posted: 16 Jul 2013 Last revised: 28 Nov 2013

Date Written: September 26, 2013

Abstract

Collections of the digital traces that every digital technology user leaves behind are being collected and analyzed as "big data." These new data open up new possibilities and challenges for social science that researchers are just beginning to explore. This paper advances a definition of "big" data for social scientific purposes, that is, big data are big because their analytical potential is qualitatively different than those researchers have been able to collect and assess in the past. It also distinguishes between two types of digital trace data that support different research goals and multiple (qualitative and quantitative) methodological approaches.

Keywords: methodology, big data

Suggested Citation

Menchen-Trevino, Ericka, Collecting Vertical Trace Data: Big Possibilities and Big Challenges for Multi-Method Research (September 26, 2013). Menchen-Trevino, E. (2013). Collecting Vertical Trace Data: Big Possibilities and Big Challenges for Multi-method Research. Policy & Internet, 5(3), 328-339. doi: 10.1002/1944-2866.POI336. Available at SSRN: https://ssrn.com/abstract=2286234

Ericka Menchen-Trevino (Contact Author)

American University ( email )

4400 Massachusetts Ave, NW
Washington, DC 20016
United States

HOME PAGE: http://https://www.american.edu/soc/faculty/menchent.cfm

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