The EST community actively participates in this coordinated effort to prepare ESFRI facilities and other pan-European infrastructures for the European Science Cloud Initiative
ESCAPE (European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures) is a project to address the open science challenges in astronomy and particle physics research domains faced by ESFRI facilities (SKA, CTA, KM3NeT, EST, ELT, HL-LHC, FAIR) and other pan-European infrastructures (CERN, ESO, JIVE).
It integrates itself in the European Open Science Cloud Initiative (ECOS), a vision for a federated, globally accessible, and multidisciplinary environment where researchers, innovators, companies, and citizens can publish, find, use, and reuse each other’s data, tools, publications, and other outputs for research, innovation and educational purposes. ECOS will federate existing resources across national data centres, e-infrastructures and research infrastructures.
ESCAPE aims at delivering solutions to ensure integration of data, tools, services and scientific software. These actions will establish interoperability within EOSC as an integrated multi- probe facility for fundamental science.
The project is funded by the European Union through its Horizon 2020 Programme, with a total amount of 16 M€. The EST community is actively represented by the Leibniz-Institut für Sonnenphysik (KIS), Leibniz-Institut für Astrophysik (AIP), Observatoire Royal de Belgique (ORB), Centrum Wiskunde & Informatica (CWI) and Università di Roma Tor Vergata (UToV) with 1M€ funding. This funding will help boost the implementation of the European Open Science Cloud.
THE EST COMMUNITY IS ACTIVELY REPRESENTED IN ESCAPE by the Leibniz-Institut für Sonnenphysik (KIS), Leibniz- Institut für Astrophysik (AIP), Observatoire Royal de Belgique (ORB), Centrum Wiskunde & Informatica (CWI) and Università di Roma Tor Vergata (UToV). Together, they have received 1M€ funding for contributing to Work Packages 3, 4, and 5:
WP3: OPEN-SOURCE SCIENTIFIC SOFTWARE AND SERVICE REPOSITORY
Building a classification engine for solar and stellar spectra with convolutional neural networks (AIP), Space weather with deep learning (CWI)
WP4: CONNECTING ESFRI PROJECTS TO EOSC THROUGH VO FRAMEWORK
Upgrade of the SWERTO space weather database access (UToV), Development of an operational SVO (ROB & KIS), Interfacing the SOLARNET SVO and the ESA JHelioviewer (ROB), Integrating solar datasets within the astrophysics community (ROB)
WP5: ESFRI SCIENCE ANALYSIS PLATFORM
Visualisation and exploration tool for large volumes of multi-wavelength spectro-polarimetric (solar) data (KIS)