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Review

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

1
Faculty of Informatics and Management, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic
2
Faculty of Electrical Engineering and Informatics, Technical University of Košice, 042 00 Košice, Slovakia
3
UCL Department of Civil, Environmental and Geomatic Engineering, and Department of Statistical Science, University College London, London WC1E 6BT, UK
4
Department of Geology and Geoenviroment, National & Kapodistrian University of Athens, 106 79 Athens, Greece
*
Author to whom correspondence should be addressed.
Water 2021, 13(16), 2177; https://doi.org/10.3390/w13162177
Submission received: 7 June 2021 / Revised: 4 August 2021 / Accepted: 6 August 2021 / Published: 9 August 2021
(This article belongs to the Section Oceans and Coastal Zones)

Abstract

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.
Keywords: tsunami; repository; data set; data format; review; evaluation; ontology tsunami; repository; data set; data format; review; evaluation; ontology

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MDPI and ACS Style

Nacházel, T.; Babič, F.; Baiguera, M.; Čech, P.; Husáková, M.; Mikulecký, P.; Mls, K.; Ponce, D.; Salmanidou, D.; Štekerová, K.; et al. Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature. Water 2021, 13, 2177. https://doi.org/10.3390/w13162177

AMA Style

Nacházel T, Babič F, Baiguera M, Čech P, Husáková M, Mikulecký P, Mls K, Ponce D, Salmanidou D, Štekerová K, et al. Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature. Water. 2021; 13(16):2177. https://doi.org/10.3390/w13162177

Chicago/Turabian Style

Nacházel, Tomáš, František Babič, Marco Baiguera, Pavel Čech, Martina Husáková, Peter Mikulecký, Karel Mls, Daniela Ponce, Dimitra Salmanidou, Kamila Štekerová, and et al. 2021. "Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature" Water 13, no. 16: 2177. https://doi.org/10.3390/w13162177

APA Style

Nacházel, T., Babič, F., Baiguera, M., Čech, P., Husáková, M., Mikulecký, P., Mls, K., Ponce, D., Salmanidou, D., Štekerová, K., Triantafyllou, I., Tučník, P., Zanker, M., & Bureš, V. (2021). Tsunami-Related Data: A Review of Available Repositories Used in Scientific Literature. Water, 13(16), 2177. https://doi.org/10.3390/w13162177

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