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Looking Beyond the Data: an Assessment of the Emerging Data Ecosystem of Nepal's Flood Early Warning Systems
Stella van Esch
author
Marc van den Homberg
author
Kees Boersma
author
2021
Virginia Tech
Blacksburg, VA (USA)
English
Increasingly, data-driven instruments are used in disaster risk reduction to foster more efficient, effective, and evidence-based decision-making. This data revolution brings along opportunities and challenges, which are sometimes related to the data itself, but more often seem related to the environment in which the data is put to use. To provide insight into such an emerging data ecosystem, this paper uses a qualitative case study to assess the use of data in flood early warning systems (EWS) in Nepal. In response to the research question 'How does the data ecosystem impact the opportunities and challenges regarding data use in flood early warning systems in Nepal?', this paper discusses the importance of considering the broader context instead of regarding data as an entity unto itself. It shows how actors, policies and other contextual factors impact the effectiveness of data use by either presenting opportunities, like the establishment of a national disaster data repository, or challenges, like inadequate human resources for working with data.
Floods
early warning systems
Nepal
data ecosystem
social shaping of technology
s.r.van.esch@student.vu.nl
exported from refbase (http://idl.iscram.org/show.php?record=2333), last updated on Tue, 13 Jul 2021 18:21:46 +0200
text
http://idl.iscram.org/files/stellavanesch/2021/2333_StellavanEsch_etal2021.pdf
StellavanEsch_etal2021
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management
Iscram 2021
Anouck Adrot
editor
Rob Grace
editor
Kathleen Moore
editor
Christopher W. Zobel
editor
18th International Conference on Information Systems for Crisis Response and Management
2021
Virginia Tech
Blacksburg, VA (USA)
conference publication
282
293
978-1-949373-61-5
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