Seismological infrastructures are evolving according to modern user demands. In addition to providing access to traditional seismometer data and associated products, they now must support novel datasets, applications and workflows, which require the adoption of new, modern data management policies and strategies. Providing multidisciplinary and data-intensive applications requires complex and integrated use cases that are FAIR, acknowledging all contributions at various stages and scaling up with the increasing numbers of users and volumes of data.
This session welcomes all contributions related to data collection, curation and provision from modern seismic network deployment, operation, management and delivery of downstream waveform data products, at local, regional and global level. This includes: (a) best practice for seismic inventory and data management; (b) integration of new data types and communities (for example DAS systems, large-N instrumentation, OBS, GNSS products, environmental monitoring, gravity, infrasound instruments, rotational sensors); (c) development, testing, and comparison of emerging strategies (e.g. machine learning) and software tools for earthquake monitoring, in particular for real-time applications; (d) delivery of technical and scientific seismological and multidisciplinary data products; (e) integration of recorded seismological data in computational workflows and digital twins. The session aims to provide a forum to present and discuss challenges in all aspects of data management from the perspective of network operators as well as users who focus on leading-edge use cases with interdisciplinarity and advanced computing. Contributions about proposed extension of existing formats and services as well as new ones that enable integration of new and exotic data are welcome. Promoted by ORFEUS and Earthscope, this session facilitates seismological data exchange, discovery and usage, and promotes open science through data openness and FAIRification.