Novel EOSC Services for Space Challenges: The NEANIAS First Outcomes
Eva Sciacca, Mel Krokos, Ugo Becciani, Cristobal Bordiu, Filomena, Bufano, Alessandro Costa, Carmelo Pino, Simone Riggi, Fabio Vitello, Carlos, Brandt, Angelo Rossi, Eugenio Topa, Simone Mantovani, Laura Vettorello,, Thomas Cecconello, Giuseppe Vizzari

TL;DR
The paper reports on the initial results of the NEANIAS project, which develops innovative EOSC services for space research, focusing on data management, visualization, mapping, mosaicing, and pattern detection to meet scientific community needs.
Contribution
It introduces new space research services within EOSC, highlighting co-design, user requirements, and delivery methodologies for data management, visualization, and analysis tools.
Findings
Development of SPACE-VIS, SPACE-MOS, and SPACE-ML services
Collection of user requirements for space research tools
Methodology for service delivery and future plans
Abstract
The European Open Science Cloud (EOSC) initiative faces the challenge of developing an agile, fit-for-purpose, and sustainable service-oriented platform that can address the evolving needs of scientific communities. The NEANIAS project plays an active role in the materialization of the EOSC ecosystem by actively contributing to the technological, procedural, strategic and business development of EOSC. We present the first outcomes of the NEANIAS activities relating to co-design and delivery of new innovative services for space research for data management and visualization (SPACE-VIS), map making and mosaicing (SPACE-MOS) and pattern and structure detection (SPACE-ML). We include a summary of collected user requirements driving our services and methodology for their delivery, together with service access details and pointers to future works.
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Taxonomy
TopicsGeological Modeling and Analysis · Scientific Computing and Data Management · Big Data Technologies and Applications
