EGU23-14181, updated on 10 Jan 2024
https://doi.org/10.5194/egusphere-egu23-14181
EGU General Assembly 2023
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Enhancing FAIRness for OBS data within the eFAIRs project

Laura Hillmann1, Susanne Hemmleb1, Angelo Strollo1, Javier Quinteros1, Andres Heinloo1, Christian Haberland1, Martin Haxter1, Mechita Schmidt-Aursch2, Louis Ulmer2, Anke Dannowski3, Heidrun Kopp3,4, and Wayne Crawford5
Laura Hillmann et al.
  • 1Deutsches GeoForschungsZentrum GFZ, Potsdam, Germany (laura@gfz-potsdam.de)
  • 2Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
  • 3GEOMAR Helmholtz-Zentrum für Ozeanforschung, Kiel, Germany
  • 4Christian-Albrechts-Universität, Kiel, Germany
  • 5Institut de Physique du Globe de Paris, Paris, France

Data from Ocean Bottom Seismometer (OBS) deployments nowadays are routinely integrated in federated seismological data centers, but often without following standardized procedures as recommended by the OBS community. This makes it difficult to locate and exploit these data mainly due to the restrictions imposed by the standard metadata format (stationXML) and the services.

In the context of the Helmholtz Metadata Collaboration (HMC), supported by OBS experts, we selected AWI and GEOMAR datasets to be archived at the GEOFON data center with standardized procedures according to the FDSN straw man proposal of W. Crawford for OBS data and metadata using also the OBSinfo tools developed at IPGP. In addition, a special emphasis was put on enhancing FAIRness for the selected datasets, for example identifiers of individual instruments were included, which are linked to instrument databases. Keywords were also added to make the data more easily findable and interoperable. From these experiences we formulated guidelines for OBS data management, which should help researchers to archive their OBS data consistently throughout EIDA data centers.

How to cite: Hillmann, L., Hemmleb, S., Strollo, A., Quinteros, J., Heinloo, A., Haberland, C., Haxter, M., Schmidt-Aursch, M., Ulmer, L., Dannowski, A., Kopp, H., and Crawford, W.: Enhancing FAIRness for OBS data within the eFAIRs project, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-14181, https://doi.org/10.5194/egusphere-egu23-14181, 2023.