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

TY - JOUR

T1 - Tensions in Data Journey Activities

T2 - The 26th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW '23)

AU - Jensen, Rikke Hagensby

AU - Johansen, Stine S.

AU - Hansen, Nicolai Brodersen

AU - Zada, Ashna Mahmood

AU - Nielsen, Peter Axel

PY - 2023/10/4

Y1 - 2023/10/4

N2 - 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.

AB - 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.

KW - data

KW - data journey

KW - environmental assessment

KW - practice

KW - tensions

KW - theoretical framework

UR - http://www.scopus.com/inward/record.url?scp=85174528176&partnerID=8YFLogxK

U2 - 10.1145/3610212

DO - 10.1145/3610212

M3 - Journal article

SN - 2573-0142

VL - 7

JO - Proceedings of the ACM on Human-Computer Interaction

JF - Proceedings of the ACM on Human-Computer Interaction

IS - CSCW2

M1 - 363

Y2 - 14 October 2023 through 18 October 2023

ER -