Potential of Citizen Science for Enhancing Infrastructure Monitoring Data and Decision-Support Models for Local Communities.
Citizen science
data quality
infrastructure systems
interdisciplinary methods
Journal
Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924
Titre abrégé: Risk Anal
Pays: United States
ID NLM: 8109978
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
revised:
21
11
2017
received:
04
07
2017
accepted:
24
11
2018
pubmed:
5
1
2019
medline:
6
1
2022
entrez:
5
1
2019
Statut:
ppublish
Résumé
Citizen science is a process by which volunteer members of the public, who commonly lack advanced training in science, engage in scientific activities (e.g., data collection) that might otherwise be beyond the reach of professional researchers or practitioners. The purpose of this article is to discuss how citizen-science projects coordinated by interdisciplinary teams of engineers and social scientists can potentially enhance infrastructure monitoring data and decision-support models for local communities. The article provides an interdisciplinary definition of infrastructure data quality that extends beyond accuracy to include currency, timeliness, completeness, and equitability. We argue that with this expanded definition of data quality, citizen science can be a viable method for enhancing the quality of infrastructure monitoring data, and ultimately the credibility of risk analysis and decision-support models that use these data. The article concludes with a set of questions to aid in producing high-quality infrastructure monitoring data by volunteer citizen scientists.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1104-1110Informations de copyright
© 2019 Society for Risk Analysis.
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