Publishing publicly available interview data: an empirical example of the experience of publishing interview data.

ABSTRACT: In September 2021 I made a collection of interview transcripts available for public use under a CreativeCommons license through the Princeton DataSpace. The interviews include 39 conversations I had with gig workers at AmazonFlex, Uber, and Lyft in 2019 as part of a study on automation efforts within these organizations. I made this decision because (1) I was required to contribute to a publicly available data set as a requirement of my funding and (2) I saw it as an opportunity to engage in the collaborative qualitative science experiments emerging in Science and Technology studies. This article documents my thought process and step-by-step design decisions for designing a study, gathering data, masking it, and publishing it in a public archive. Importantly, once I decided to publish thes

SUBMITTER: Enriquez D 

PROVIDER: S-EPMC11188393 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature