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The role of data and information quality during disaster response decision-making

  • University of Queensland
    ,
  • Beijing Normal-Hong Kong Baptist University
    ,
  • Massey University
    ,
  • Tonkin & Taylor, Hamilton
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication metrics

Metrics

SciVal
FWCI
2
SciVal
Author count
4
SciVal
Paper percentile
87
SciVal
Citations
50
Scopus
Citations

Abstract

Massive amounts of data and information are exchanged during the response phase of disaster management. A large body of contemporary research has indicated that most of these data and information have severe quality related concerns, meaning that they may not be suitable for critical decision-making. The current paper addresses these issues by identifying how certain features of data and information quality function, to support specific, naturalistic decision-making processes during disaster response. These functions are used to revise and consolidate pre-existing definitions of data and information quality, for use in further disaster response research.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

100202

Journal (Volume, Issue Number)

Progress in Disaster Science (Volume 12)

Publication milestones

  • Published - 12/2021

Publication status

Published - 12/2021

Publication IDs

  • Scopus: 85119271405