Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Is This the End of Anthropology as We Know It? Some Implication of FAIR Principles on Tales in Ethnological and Anthropological Qualitative Research

Version 1 : Received: 3 March 2024 / Approved: 4 March 2024 / Online: 4 March 2024 (05:52:03 CET)

How to cite: Orlić, O. Is This the End of Anthropology as We Know It? Some Implication of FAIR Principles on Tales in Ethnological and Anthropological Qualitative Research. Preprints 2024, 2024030101. https://doi.org/10.20944/preprints202403.0101.v1 Orlić, O. Is This the End of Anthropology as We Know It? Some Implication of FAIR Principles on Tales in Ethnological and Anthropological Qualitative Research. Preprints 2024, 2024030101. https://doi.org/10.20944/preprints202403.0101.v1

Abstract

Open science, accessibility and knowledge sharing, especially of articles and monographs stemming from a publicly funded research, seem to be quite a positive direction in the development of science and have received almost unanimous approval from a scientific community. However, when it comes to data sharing, the data obtained by qualitative methodology deserve special attention and treatment. Although FAIR principles provide ways to anonymise the data and interlocoutors (as explained in Celjak et al 2020) individuals coming from smaller communities or even communities of practice can sometimes be easily regcognized by members of the same communitiy, especially if the data refers to audio files! The researcher is obliged to thoroughly describe the ways in which the data will be managed and used, and if it will state that the data will be managed in line with FAIR principles, this will inevitably impact the narratives collected. The prerogative to make all the data open will inevitably lead to autocesorship i.e. in creating a kind of FAIRy Tales for the future, interlocutors will share with researchers. Having all that in mind I argue for a more vigilant approach when embracing the idea that all the data should be made FAIR. Not all the data should be made FAIR because this could, in the end, compromise the research process itself. Some data must remain in the space of trust created between main actors in the research process. These data should be treated with CARE principles.

Keywords

open science; open data; FAIR principles; CARE principles; ethnology; anthropology; humanities and social sciences; qualitative methodology; confidentiality

Subject

Arts and Humanities, Humanities

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.