Abstract

In this article, we describe how our work at a particular nexus of STS, ethnography, and critical theory—informed by experimental sensibilities in both the arts and sciences—transformed as we built and learned to use collaborative workflows and supporting digital infrastructure. Responding to the call of this special issue to be “ethnographic about ethnography,” we describe what we have learned about our own methods and collaborative practices through building digital infrastructure to support them. Supporting and accounting for how experimental ethnographic projects move—through different points in a research workflow, with many switchbacks, with project designs constantly changing as the research develops—was a key challenge. Addressing it depended on understanding creative data practices and analytic workflows, redesigning and building technological infrastructure, and constant attention to collaboration ethics. We refer to this as the need for doubletakes on method. We focus on the development of The Asthma Files, a collaborative ethnography project to understand the cultural dimensions of environmental health, and on the Platform for Experimental Collaborative Ethnography, digital infrastructure first built to support The Asthma Files but now available as a community resource for archiving, analyzing, and publishing ethnographic data and writing. A key finding is that different traditions and practices of ethnography require different infrastructures.

Highlights

  • What kinds of data—found, created, multimodal, big data and small—can ethnographers draw into their projects? What data can ethnographers give back, contributing to open ethnographic research commons?

  • We are a group of STS scholars, styled within a particular strand of North American anthropology, that has stuck close to these questions in our collaborative ethnographic research projects and, conjointly, in our design and building of new open-source digital infrastructure to support the archiving of ethnographic data, its sharing, and its use and reuse in collaborative ethnographic analysis

  • We respond to Lippert and DouglasJones’s (2019) call for methodography on data infrastructures and practices by reflecting on our work to develop the Platform for Experimental Collaborative Ethnography (PECE), an open-source software that provides digital space for sharing, collaborative analysis, and creative presentation of ethnographic data and writing

Read more

Summary

Introduction

What kinds of data—found, created, multimodal, big data and small—can ethnographers draw into their projects? What data can ethnographers give back, contributing to open ethnographic research commons?. We respond to Lippert and DouglasJones’s (2019) call for methodography on data infrastructures and practices by reflecting on our work to develop the Platform for Experimental Collaborative Ethnography (PECE), an open-source software that provides digital space for sharing, collaborative analysis, and creative presentation of ethnographic data and writing. A key methodographic insight has been about the need to design research infrastructure that supports how experimental ethnographic projects move, changing as both research and worlds develop in twists and turns. Done collaboratively, this becomes especially messy; ethnography and infrastructure development become coupled experiments. The workflow involves many switchbacks, and constant double takes are important

Objectives
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call