Guidelines for anthropological research: Data management, ethics, and integrity

28Citations
Citations of this article
125Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

As anthropologists we are increasingly confronted with attempts – be it by employers, the media, or policy makers – to regulate our work in ways that are both epistemologically and ethically counterproductive and threaten our scientific integrity. This document is written out of concern about the problems that occur when protocols for data management, integrity, and ethics, developed for sciences that employ a positivistic, hypothesis-testing and replicable style of research, are applied to different scientific practices, such as social and cultural anthropology, that are more explorative, intersubjective and interpretative. In social and cultural anthropology, issues of scientific governance and its ethics are strongly case-specific. Still, concerns about the imposition of scientific protocols from other disciplines require anthropologists to develop some general guidelines for data management, integrity and ethics of anthropological research. Rather than fixed rules, these are broad principles to guide work and adapt it to specific cases.

Cite

CITATION STYLE

APA

de Koning, M., Meyer, B., Moors, A., & Pels, P. (2019). Guidelines for anthropological research: Data management, ethics, and integrity. Ethnography, 20(2), 170–174. https://doi.org/10.1177/1466138119843312

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free