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Paper: |
Onboarding SPACE services to the European Open Science Cloud |
Volume: |
535, Astronomical Data Analysis Software and Systems XXXI |
Page: |
191 |
Authors: |
Sciacca, E.; Kronkos, M.; Bordiu, C.; Bufano, F.; Costa, A.; Riggi, S.; Tudisco, G.; Vitello, F.; Brandt, C.; Rossi, A.; Topa, E.; Vettorello, L.; Mantovani, S. |
Abstract: |
The H2020 NEANIAS project is implementing novel thematic services, addressing emerging challenges in underwater, atmospheric and space sciences, to be delivered to the European Open Science Cloud (EOSC). We report on the current development status of highly interdisciplinary clusters for materialising EOSC services for the Astrophysics and Planetary communities, focusing on visualization and data management (SPACE-VIS), map making and mosaicking (SPACE-MOS) and structure detection with Machine Learning (SPACE-ML). Our services support a collaborative research ecosystem underpinning open science practices by creating added value to datasets and processing workflows. We exploit real-world operational scenarios maturing existing technological solutions in order to obtain robustly delivered FAIR (Findability, Accessibility, Interoperability, Reproducibility) services populating the emerging EOSC. |
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