Tensions in Data Journey Activities: Mobilising, Processing, Producing, and Re-purposing Data in Environmental Assessment Practice

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

Digital data shape work practices as they travel through space, time, and social situations. In turn, workers shape the materiality of data through different data-oriented activities. In this paper, we draw on theory of data journeys to develop and present a conceptual framework of four data-intensive activities: Producing, mobilising, processing, and re-purposing. Together, those activities capture entanglements of data transformations and data-intensive practices. We develop the framework through a qualitative study of digitisation in Environmental Assessment (EA) practice. EA practitioners reflect on their experiences working with digital environmental data through ten semi-structured and two interactive interviews. The paper offers two main contributions. First, we develop a data journey theoretical framework and show that it is useful as a unit of analysis for uncovering tensions in data-oriented activities. Second, we use these insights to outline a set of tensions for future design activities in the area of data work practices.
Original languageEnglish
Article number363
JournalProceedings of the ACM on Human-Computer Interaction
Volume7
Issue numberCSCW2
Pages (from-to)1-23
Number of pages22
DOIs
Publication statusPublished - 4 Oct 2023
EventCSCW '23: Computer Supported Cooperative Work and Social Computing - CSCW '23: Computer Supported Cooperative Work and Social Computing, New York, United States
Duration: 14 Oct 202318 Oct 2023

Conference

ConferenceCSCW '23: Computer Supported Cooperative Work and Social Computing
LocationCSCW '23: Computer Supported Cooperative Work and Social Computing
Country/TerritoryUnited States
CityNew York
Period14/10/202318/10/2023

Keywords

  • data
  • data journey
  • environmental assessment
  • practice
  • tensions
  • theoretical framework

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