Criticality of data quality as exemplified in two disasters
By C. Fisher, Bruce R. Kingma. Information Manager (The), 2001
296 citations recorded by the source corpus.
Subfields: Epidemiology, Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b9b7447e0e2d0f255a5a9910fc26f2663dc738f4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
In Management Information Systems
- Jorge Bernardino
- Seyma Nur Soydemir
- Nuno Laranjeiro
- Marijn Janssen
- Hsiu-Fen Lin
- David Arnott
- Graham Peter Pervan
- Sue Abdinnour-Helm
In Management Science and Operations Research
- Jorge Bernardino
- Seyma Nur Soydemir
- Nuno Laranjeiro
- Marijn Janssen
- Hsiu-Fen Lin
- Graham Peter Pervan
- David Arnott
- Sue Abdinnour-Helm
Citations in the corpus
- A Survey on Data Quality: Classifying Poor Data (2015, background): “Thus, the need for organizations to possess high quality data is essential, as it can increase the opportunity for the organizations to deliver services that clients can rely on [3].”
- Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing (2005, background): “Completeness refers to the degree to which all possible states relevant to the user population are represented in the stored information [5, 27, 34, 80].”
- Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises (2010, background): “3. Individual Human cognition/perception of uncertainty and time pressure, Personal propensity to adopt innovations Information overload, inability to determine what should be shared, misinterpretation of information, bounded rationality, prioritization of own problems, information quality, system q”