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Thinking Big About Big Data

Published online by Cambridge University Press:  17 December 2015

Amy Wax ,
Raquel Asencio  and
Dorothy R. Carter
Amy Wax*
Affiliation:
Department of Psychology, California State University, Long Beach
Raquel Asencio
Affiliation:
School of Psychology, Georgia Institute of Technology
Dorothy R. Carter
Affiliation:
Department of Psychology, University of Georgia
*
Correspondence concerning this article should be addressed to Amy Wax, Department of Psychology, California State University, PSY 100, 1250 Bellflower Boulevard, Long Beach, CA 90840. E-mail: amy.wax@csulb.edu
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Extract

Guzzo, Fink, King, Tonidandel, and Landis (2015) review important issues—privacy, informed consent, and data/data analysis integrity—that are critical logistical considerations in any program of research with human subjects, including studies utilizing big data. Overall, we agree with the cautionary sentiment conveyed throughout the focal article; industrial and organizational (I-O) psychology researchers and practitioners should not assume that big data is a panacea, and many of our established disciplinary approaches for ensuring ethical and accurate research are applicable—or modifiable—in big data contexts. However, we believe that the conversation about big data in I-O psychology is broader than that reviewed by Guzzo et al., and we would like to further elaborate on the focal article. We present this commentary from our perspective as junior scholars entering the field at a critical time—a time when I-O psychology is becoming increasingly intertwined with big data science.

Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 8 , Issue 4 , December 2015 , pp. 545 - 550
Copyright
Copyright © Society for Industrial and Organizational Psychology 2015 

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