Suitable data formats for seismological big data provisioning via web services @EoscPillar EOSC-Pillar has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 857650. Introduction Seismological web services have been designed some years ago with particular types of user and data in mind, which are not exclusively what we see today. Disruptive techniques, generating data at much a ﬁner resolution, compared to the standard seismic stations, are a challenge for data centres and users. Despite seismology is an advanced and well organized discipline considering FAIR principles, these new datasets would make impossible to still use the same standard data formats and standard speciﬁcations for data provisioning services. Our main aim in this Task is to keep FAIRness in this community through evaluating new data formats suitable for this use case, testing and implementing tailor made services where possible within the currently deﬁned standards. We develop a package tool named dastools as a set of tools to read, manipulate and convert seismic waveforms generated by DAS systems. Challenges addressed The web service providing seismological data (Dataselect) is an international standard adopted by most of the seismological data centres. Data formats to be evaluated are also known internationally. Some of the challenges we addressed through EOSC-Pillar are the following: Services involved extend the service to be suitable to providing big amounts of data, as these are expected to be received synchronously. provide the needed metadata to properly interpret the data when interacting with other web services packaging these data and metadata using container technology FDSN Dataselect FDSN Station-WS Publication/Images/videos Partners Quinteros, J. (2021): dastools - Tools to work with data generated by DAS systems. V. 0.5. GFZ Data Services. https://doi.org/10.5880/GFZ.2.4.2021.001 Quinteros, J., Carter, J. A., Schaeffer, J., Trabant, C., & Pedersen, H. A. (2021). Exploring Approaches for Large Data in Seismology: User and Data Repository Perspectives. Seismological Research Letters, 92(3), 1531-1540. doi: https://doi.org10.1785/0220200390. Call for abstract submission to the Session in the European Seismological Conference (ESC) in September 2021 https://www.erasmus.gr/UsersFiles/microsite1193/Documents/SESSIONS_ABS TRACTS3.pdf Beneﬁts through EOSC-Pillar Thanks to EOSC-Pillar, as well as developments in previous EOSC projects, users of dastools will beneﬁt from integration with other common services and infrastructure offered by EOSC-Pillar. For instance, the Authentication and Authorization Infrastructure (AAI) integrated in EIDA/ORFEUS and provided by the B2ACCESS service hosted by Forschungszentrum Jülich. Another beneﬁt due to the collaboration with Pillar partners will be the capability to process on the data centre side using the downsampled replica of these data. Fig. 1: A ﬁber-optic cable in the seaﬂoor; after Jousset, P., 2019, Science Here is what we have achieved: • MS27 Code for standard Dataselect-WS from new non-standard big datasets in seismology -achieved. • Capability to convert to standard formats from two different proprietary formats used by the most important manufacturers of this type of equipment (TDMS from Silixa, and OptoDAS from Alcatel). • Ready-to-use data provisioning web services. Light weight and providing data in standard formats (e.g. miniSEED) and through standard protocols (FDSN-Dataselect). Anyone can use this to expose the raw data in a full standard way. • After one year of a joint effort with partners from two of the most important seismological data centers at international level (IRIS-USA, RESIF-France), we were able to provide a complete landscape analysis covering all aspects of the data life cycle for these novel datasets. The results were published in a high Impact Factor Journal of our community (SRL). • We include in our analysis a