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A dataset without a code book: ethnography and open science.

Shamus Khan1, Jennifer S Hirsch2, Ohad Zeltzer-Zubida3

  • 1Departments of Sociology and American Studies, Princeton University, Princeton, NJ, United States.

Frontiers in Sociology
|March 20, 2024
PubMed
Summary
This summary is machine-generated.

Open data in ethnography may compromise data quality and subject anonymity. Further research is needed to understand the impact of open data practices on ethnographic research before widespread adoption.

Keywords:
epistemologyethnographymethodologyopen sciencequalitative method

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Area of Science:

  • Social Sciences
  • Anthropology
  • Sociology

Background:

  • Calls for open data are increasing in scientific research.
  • Ethnographic research presents unique challenges for data sharing and openness.
  • Existing open data frameworks may not align with ethnographic methodologies.

Purpose of the Study:

  • To critically evaluate the applicability and implications of open data principles in ethnographic research.
  • To examine the potential impact of open data practices on data quality and subject confidentiality in ethnography.
  • To question the universal benefits of open data for all scientific disciplines.

Main Methods:

  • Reflection on personal experiences in ethnographic research on sexual violence.
  • Analysis of the epistemic, political-economic, and regulatory logics of open data.
  • Evaluation of open data principles against the practicalities of ethnographic data collection and analysis.

Main Results:

  • Open data practices could potentially compromise the quality of ethnographic data.
  • Ensuring subject anonymity under open data policies may hinder data replication.
  • The logic of open data is not always compatible with the ontological and epistemic foundations of ethnography.

Conclusions:

  • Blindly adopting open data principles in ethnography without empirical evaluation is inadvisable.
  • Further research is required to understand the specific impact of open data on ethnographic data quality and integrity.
  • Ethnographic communities and funding bodies should carefully consider the implications before embracing open data.