Zisin (Journal of the Seismological Society of Japan. 2nd ser.)
Online ISSN : 1883-9029
Print ISSN : 0037-1114
ISSN-L : 0037-1114
ARTICLE
Toward an Understanding of the Utilization Status of NIED MOWLAS Data based on Data DOI Citation Information
Hisahiko KUBOKatsuhiko SHIOMI
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2024 Volume 77 Pages 53-66

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Abstract

In this study, we analyzed the utilization status of observation data of earthquakes, tsunamis, and volcanoes based on data DOI citation information. The target is the nationwide observation network for earthquakes, tsunamis, and volcanoes over land and sea (MOWLAS) in Japan, which has been maintained and operated by National Research Institute for Earth Science and Disaster Resilience (NIED) and consists of seven observation networks. Since February 2019, NIED has progressively assigned data DOIs to its research data, with six of these data DOIs being allocated to the observation networks of MOWLAS. We collected information on the publications citing data DOIs of MOWLAS from the Web of Science database and examined the citation status from 2019 to 2022. The results show that more than 160 publications citing the MOWLAS’s data DOIs have been issued during the survey period (2019-2022), indicating that the MOWLAS’s observations have been used in various research studies. They are most frequently cited in the order of [K-NET, KiK-net], [Hi-net], [F-net], [S-net], [DONET], and [V-net]. The number of times cited of the publications exceeded 600 and has been increasing annually along with the number of publications. We conducted surveys on the number of publications by journal, the affiliations of the first authors, their countries, and multiple citations of data DOIs. We also analyzed the titles of the publications by observation network using quantitative text analysis, clarifying how the MOWLAS data have been used. The observations from MOWLAS are important data in various research fields including seismology and earthquake engineering. We look forward to further use of MOWLAS data, and we kindly ask our readers to cite the data DOIs properly.

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© 2024 The Seismological Society of Japan
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