On the compatibility of pandemic data-driven measures with data protection: a review of Ireland's "under the radar" Covid-19 measures
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Porcedda, Maria Grazia, On the compatibility of pandemic data-driven measures with data protection: a review of Ireland's "under the radar" Covid-19 measures, Northern Ireland Legal Quarterly, 2022
Abstract
This article reviews the compatibility of ‘under the radar’ data-driven measures adopted in
Ireland to contain the Covid-19 pandemic with data protection law, understood as both a source
of regulatory compliance, and as the substantiation of a right. The article elaborates a test for
permissible limitations on the right to data protection that incorporates requirements from the
applicable law, followed by an analysis of how select data-driven measures comply with the
various stages of the test. The measures reviewed - thermal scanner guns, health self-check
forms, statutory instruments for contact logging and the Vaccine Information System - appear
well-meaning but partly incompatible with the right to data protection. The analysis points to
the difficulty of reconciling public health and data protection without a systematic data
processing strategy and concludes with recommendations for right-proofing data-driven
measures in the guise of a blueprint strategy for processing for pandemic purposes.
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Author's Homepage: http://people.tcd.ie/mariagrp
Type of material: Journal Article

