Abstract
This article examines the developments that have motivated this special issue on Qualitative Research Ethics in the Big Data Era. The article offers a broad overview of many pressing challenges and opportunities that the Big Data era raises particularly for qualitative research. Big Data has introduced to the social sciences new data sources, new research methods, new researchers, and new forms of data storage that have immediate and potential effects on the ethics and practice of qualitative research. Drawing from a literature review and insights gathered at a National Science Foundation-funded workshop in 2016, we present five principles for qualitative researchers and their institutions to consider in navigating these emerging research landscapes. These principles include (a) valuing methodological diversity; (b) encouraging research that accounts for and retains context, specificity, and marginalized and overlooked populations; (c) pushing beyond legal concerns to address often messy ethical dilemmas; (d) attending to regional and disciplinary differences; and (e) considering the entire lifecycle of research, including the data afterlife in archives or in open-data facilities.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 560-583 |
| Number of pages | 24 |
| Journal | American Behavioral Scientist |
| Volume | 63 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 1 2019 |
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All Science Journal Classification (ASJC) codes
- Social Psychology
- Cultural Studies
- Education
- Sociology and Political Science
- Social Sciences(all)
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Qualitative Research Ethics in the Big Data Era. / Hesse, Arielle; Glenna, Leland Luther; Hinrichs, Cynthia Clare; Chiles, Robert Magneson; Sachs, Carolyn.
In: American Behavioral Scientist, Vol. 63, No. 5, 01.05.2019, p. 560-583.Research output: Contribution to journal › Article
TY - JOUR
T1 - Qualitative Research Ethics in the Big Data Era
AU - Hesse, Arielle
AU - Glenna, Leland Luther
AU - Hinrichs, Cynthia Clare
AU - Chiles, Robert Magneson
AU - Sachs, Carolyn
PY - 2019/5/1
Y1 - 2019/5/1
N2 - This article examines the developments that have motivated this special issue on Qualitative Research Ethics in the Big Data Era. The article offers a broad overview of many pressing challenges and opportunities that the Big Data era raises particularly for qualitative research. Big Data has introduced to the social sciences new data sources, new research methods, new researchers, and new forms of data storage that have immediate and potential effects on the ethics and practice of qualitative research. Drawing from a literature review and insights gathered at a National Science Foundation-funded workshop in 2016, we present five principles for qualitative researchers and their institutions to consider in navigating these emerging research landscapes. These principles include (a) valuing methodological diversity; (b) encouraging research that accounts for and retains context, specificity, and marginalized and overlooked populations; (c) pushing beyond legal concerns to address often messy ethical dilemmas; (d) attending to regional and disciplinary differences; and (e) considering the entire lifecycle of research, including the data afterlife in archives or in open-data facilities.
AB - This article examines the developments that have motivated this special issue on Qualitative Research Ethics in the Big Data Era. The article offers a broad overview of many pressing challenges and opportunities that the Big Data era raises particularly for qualitative research. Big Data has introduced to the social sciences new data sources, new research methods, new researchers, and new forms of data storage that have immediate and potential effects on the ethics and practice of qualitative research. Drawing from a literature review and insights gathered at a National Science Foundation-funded workshop in 2016, we present five principles for qualitative researchers and their institutions to consider in navigating these emerging research landscapes. These principles include (a) valuing methodological diversity; (b) encouraging research that accounts for and retains context, specificity, and marginalized and overlooked populations; (c) pushing beyond legal concerns to address often messy ethical dilemmas; (d) attending to regional and disciplinary differences; and (e) considering the entire lifecycle of research, including the data afterlife in archives or in open-data facilities.
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U2 - 10.1177/0002764218805806
DO - 10.1177/0002764218805806
M3 - Article
VL - 63
SP - 560
EP - 583
JO - American Behavioral Scientist
JF - American Behavioral Scientist
SN - 0002-7642
IS - 5
ER -