Towards the Implementation of FAIR Principles on an Earthquake Analysis Platform

In our work, we are presenting a FAIR approach for building an Earthquake Analysis Platform. In this context we started to perform data analysis and visualizations of existing seismic data, collected from different public sources, for various geographical regions around the world, and noted the different formats and standards which precluded a unitary treatment of the seismic zones of interest. That drove our research towards the FAIR principles, towards data standardization and data curation, developing and adapting the data formats so that we can have the data ready for our analysis programs developed in house. We thereby aimed at developing the necessary tools and processes that support the FAIRification of the seismic databases of interest (at least on our local data processing pipelines). Within this approach our computing services would become data-source-agnostic, allowing the users to perform their data analysis without being impacted by the differences in metadata indexing standards. To this end, the FAIRification process relies on building data ingestion pipelines, i.e., a collection of programs built for collecting, parsing, extracting only the necessary data and storing that relevant data in a new format which satisfies our requirements.