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Managing and sharing volcanological data at the INGV - Osservatorio Etneo

Urheber*innen

Aliotta,  Marco Antonio
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Cassisi,  Carmelo
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Montalto,  Placido
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pistagna,  Fabrizio
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Prestifilippo,  Michele
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Torrisi,  Mario
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Zitation

Aliotta, M. A., Cassisi, C., Montalto, P., Pistagna, F., Prestifilippo, M., Torrisi, M. (2023): Managing and sharing volcanological data at the INGV - Osservatorio Etneo, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-1516


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018093
Zusammenfassung
The study of volcanic activity requires monitoring a variety of data sources, including volcanological, geophysical, and geochemical data. With numerous research organizations and observatories collecting vast amounts of data from sensor networks, it's crucial to have a systematic way of organizing and sharing this information for volcano research and monitoring. This is where the INGV Osservatorio Etneo's TSDSystem framework comes in.TSDSystem is a framework that enables the acquisition and standardization of time series data from different sources within a relational database, and provides synchronized data visualization. The framework is integrated with the OEDataRep web data repository, which is based on the InvenioRDM research data management platform and follows an open access model.The proposed architecture of the system includes various features and services, such as a database optimized for time series data, a RESTful web service based on microservices pattern, near real-time data visualization through modern web technologies, data policy management, and an early warning module. These features help to efficiently manage and share time series data in a timely and accessible manner.