Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature

Various organizations and institutions store large volumes of tsunami-related data, whose availability and quality should benefit society, as it improves decision making before the tsunami occurrence, during the tsunami impact, and when coping with the aftermath. However, the existing digital ecosys...

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Veröffentlicht in:Water (Basel) 2021-08, Vol.13 (16), p.2177
Hauptverfasser: Nacházel, Tomáš, Babič, František, Baiguera, Marco, Čech, Pavel, Husáková, Martina, Mikulecký, Peter, Mls, Karel, Ponce, Daniela, Salmanidou, Dimitra, Štekerová, Kamila, Triantafyllou, Ioanna, Tučník, Petr, Zanker, Marek, Bureš, Vladimír
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container_issue 16
container_start_page 2177
container_title Water (Basel)
container_volume 13
creator Nacházel, Tomáš
Babič, František
Baiguera, Marco
Čech, Pavel
Husáková, Martina
Mikulecký, Peter
Mls, Karel
Ponce, Daniela
Salmanidou, Dimitra
Štekerová, Kamila
Triantafyllou, Ioanna
Tučník, Petr
Zanker, Marek
Bureš, Vladimír
description Various organizations and institutions store large volumes of tsunami-related data, whose availability and quality should benefit society, as it improves decision making before the tsunami occurrence, during the tsunami impact, and when coping with the aftermath. However, the existing digital ecosystem surrounding tsunami research prevents us from extracting the maximum benefit from our research investments. The main objective of this study is to explore the field of data repositories providing secondary data associated with tsunami research and analyze the current situation. We analyze the mutual interconnections of references in scientific studies published in the Web of Science database, governmental bodies, commercial organizations, and research agencies. A set of criteria was used to evaluate content and searchability. We identified 60 data repositories with records used in tsunami research. The heterogeneity of data formats, deactivated or nonfunctional web pages, the generality of data repositories, or poor dataset arrangement represent the most significant weak points. We outline the potential contribution of ontology engineering as an example of computer science methods that enable improvements in tsunami-related data management.
doi_str_mv 10.3390/w13162177
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source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Civil engineering
Coasts
Data management
Datasets
Decision making
Earthquakes
Geochemistry
Heterogeneity
Organizations
Repositories
Science
Seismic engineering
Seismology
Tsunamis
Websites
title Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature
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