research-article

How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation

Authors:

Michael Muller,

David Piorkowski,

Thomas EricksonAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 126, Pages 1 - 15

https://doi.org/10.1145/3290605.3300356

Published: 02 May 2019 Publication History

Abstract

With the rise of big data, there has been an increasing need for practitioners in this space and an increasing opportunity for researchers to understand their workflows and design new tools to improve it. Data science is often described as data-driven, comprising unambiguous data and proceeding through regularized steps of analysis. However, this view focuses more on abstract processes, pipelines, and workflows, and less on how data science workers engage with the data. In this paper, we build on the work of other CSCW and HCI researchers in describing the ways that scientists, scholars, engineers, and others work with their data, through analyses of interviews with 21 data science professionals. We set five approaches to data along a dimension of interventions: Data as given; as captured; as curated; as designed; and as created. Data science workers develop an intuitive sense of their data and processes, and actively shape their data. We propose new ways to apply these interventions analytically, to make sense of the complex activities around data practices.

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Cited By

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https://doi.org/10.3390/ai5020043
Donatz-Fest I(2024)The ‘doings’ behind data: An ethnography of police data constructionBig Data & Society10.1177/2053951724127069511:3Online publication date: 3-Sep-2024
https://doi.org/10.1177/20539517241270695
Valentine MBohn RPratt AJain PSinger SBernstein M(2024)Constructing a Classification Scheme - and its Consequences: A Field Study of Learning to Label Data for Computer Vision in a Hospital Intensive Care UnitProceedings of the ACM on Human-Computer Interaction10.1145/36870298:CSCW2(1-29)Online publication date: 8-Nov-2024
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Index Terms

How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
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Anna Cox
University College London, UK
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Vassilis Kostakos
University of Melbourne, Australia

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https://doi.org/10.3390/ai5020043
Donatz-Fest I(2024)The ‘doings’ behind data: An ethnography of police data constructionBig Data & Society10.1177/2053951724127069511:3Online publication date: 3-Sep-2024
https://doi.org/10.1177/20539517241270695
Valentine MBohn RPratt AJain PSinger SBernstein M(2024)Constructing a Classification Scheme - and its Consequences: A Field Study of Learning to Label Data for Computer Vision in a Hospital Intensive Care UnitProceedings of the ACM on Human-Computer Interaction10.1145/36870298:CSCW2(1-29)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687029
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