Cristin-resultat-ID: 1903764
Sist endret: 29. januar 2022, 10:49
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

Acting with inherently uncertain data: practices of data-centric knowing

Bidragsytere:
  • Marius Mikalsen og
  • Eric Monteiro

Tidsskrift

Journal of the AIS
ISSN 1536-9323
e-ISSN 1536-9323
NVI-nivå 2

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Publisert online: 2021
Volum: 22
Hefte: 6
Sider: 1 - 21
Open Access

Importkilder

Scopus-ID: 2-s2.0-85122809288

Beskrivelse Beskrivelse

Tittel

Acting with inherently uncertain data: practices of data-centric knowing

Sammendrag

Data-driven data science challenges our conceptualization of “data.” Significantly beyond capturing a given phenomenon, data, increasingly, are the phenomenon. Data may be iteratively manipulated algorithmically, undermining the “faithfulness” of data to any originating phenomenon. Crucially, data that are not “faithful” are inherently uncertain as data risk becoming meaningless symbols. We empirically study how a community of commercially based geoscientists grapple with the phenomenon of offshore oil and gas reservoirs residing kilometers below the seabed. The data available about these reservoirs are algorithmically manipulated sensor-based Internet of Things data. Our main contribution is the articulation of three patterns of work practices detailing how inherently uncertain data are woven into consequential work practices: (i) accumulating, the cumulative process of supporting and triangulating one set of data with supplementary ones; accumulating captures the conservative approach of backing up existing interpretations of the data, (ii) reframing, the process where existing interpretations are contested by new data or models; reframing captures how there are limits to how far data may be pulled by their hair and (iii) prospecting, the cultivation of competing, incompatible data interpretations; with the former two patterns essentially attempting to regulate uncertainty, prospecting is about embracing it. Our concept of data-centric knowing is constituted by these three interleaved, ongoing practices.

Bidragsytere

Marius Mikalsen

  • Tilknyttet:
    Forfatter
    ved Software Engineering, Safety and Security ved SINTEF AS
  • Tilknyttet:
    Forfatter
    ved Institutt for industriell økonomi og teknologiledelse ved Norges teknisk-naturvitenskapelige universitet

Eric Monteiro

  • Tilknyttet:
    Forfatter
    ved Institutt for datateknologi og informatikk ved Norges teknisk-naturvitenskapelige universitet
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