The Need for Data Policy in Times of Crisis An IDPC CODATA Report Following a Scientific Workshop Held on 22 October 2022 in Leiden, The Netherlands

Burcak Basbug Erkan*, Francis P. Crawley, Virginia Murray

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Recent events of global impact have led the scientific community to re-evaluate and re-affirm the role of science in crisis situations. In particular, the COVID-19 health emergency required the abrupt (re-)allocation of scientific resources to address a pandemic which had demonstrated the vulnerability of science as well as the essential role data science has in responding to a pandemic. In a digital world, data collection, data processing, and data reuse are critical to science and its use for critical decision-making in society’s response. This paper reports a workshop undertaken by the CODATA International Data Policy Committee (IDPC), together with leading international partners, on the role of data policy in times of crisis. A critical investigation of the role of data policy in crisis situations was engaged by a leading group of scientists and data experts representing a wide audience of various scientific disciplines and expertise from inter-governmental organisations. This paper presents preliminary results as to how data policy, specifically designed to address the need for science in crisis situations, can contribute to building a more robust scientific enterprise that is appropriately prepared for and capable of acting with confidence in the urgencies of crises. The workshop identified a need for establishing principles for data policy in times of crisis as developing concrete recommendations to support engagement with the international scientific community and inter-governmental organisations.

Original languageEnglish
Article number43
JournalData Science Journal
Volume22
Issue number1
DOIs
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s).

Keywords

  • COVID-19
  • crises
  • data policy
  • disasters
  • science policy

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