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Article

Access_open Big Data Ethics: A Life Cycle Perspective

Journal Erasmus Law Review, Issue 1 2021
Keywords big data, big data analysis, data life cycle, ethics, AI
Authors Simon Vydra, Andrei Poama, Sarah Giest e.a.
AbstractAuthor's information

    The adoption of big data analysis in the legal domain is a recent but growing trend that highlights ethical concerns not just with big data analysis, as such, but also with its deployment in the legal domain. This article systematically analyses five big data use cases from the legal domain utilising a pluralistic and pragmatic mode of ethical reasoning. In each case we analyse what happens with data from its creation to its eventual archival or deletion, for which we utilise the concept of ‘data life cycle’. Despite the exploratory nature of this article and some limitations of our approach, the systematic summary we deliver depicts the five cases in detail, reinforces the idea that ethically significant issues exist across the entire big data life cycle, and facilitates understanding of how various ethical considerations interact with one another throughout the big data life cycle. Furthermore, owing to its pragmatic and pluralist nature, the approach is potentially useful for practitioners aiming to interrogate big data use cases.


Simon Vydra
Simon Vydra is a Researcher at the Institute for Public Administration, Leiden University, the Netherlands.

Andrei Poama
Andrei Poama is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Sarah Giest
Sarah Giest is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Alex Ingrams
Alex Ingrams is Assistant Professor at the Institute for Public Administration, Leiden University, the Netherlands.

Bram Klievink
Bram Klievink is Professor of Digitization and Public Policy at the Institute for Public Administration, Leiden University, the Netherlands.
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