Data Work in Context: Value, Risks and Governance

Research output: Contribution to journalReview article

DOI

Authors

  • Jonathan Foster
  • Julie McLeod
  • Jan Nolin
  • Elke Greifeneder

External departments

  • University of Sheffield
  • University of Borås
  • Humboldt University of Berlin

Details

Original languageEnglish
Pages (from-to)1414-1427
Number of pages14
JournalJournal of the Association for Information Science and Technology
Volume69
Issue number12
Early online date19 Nov 2018
DOIs
Publication statusPublished - 5 Dec 2018
Publication type

Research output: Contribution to journalReview article

Abstract

While always integral to scientific activity, data work has recently emerged as a key set of processes within societal activities of all kinds. While data work presents new opportunities for discovery, value creation, and decision-making, its emergence also raises significant ethical issues, including those of ownership, privacy, and trust. This article presents a review of data work, and how negotiating a trade-off between its value and risks requires locating its processes within the contexts of its conditions and consequences. These include international, national, and sectoral conditions of law, policy and regulation at a macro level; organizational conditions of information and data governance that aim to address the value and risks of data work at a meso level; along with attention to the everyday contexts of data and information handling by data information and other professionals at a micro level. In conclusion, a conceptual framework is presented which locates the processes of data work within the matrix of its macro meso and micro conditions, its consequences for individuals
organizations and society, and the relations between them. Suggestions are given for how research into the study of data work—its value risks and governance— can be advanced by using this framework.

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