Novel EOSC Services for Space challenges: the NEANIAS first outcomes
2020-11-08, 10:45–10:45, Posters

The European Open Science Cloud (EOSC) initiative faces the challenge of developing an agile, fit-for-purpose and sustainable service-oriented platform that can satisfy the evolving needs of the scientific community by stimulating the design and prototyping of novel innovative digital services.

The “Novel EOSC Services for Emerging Atmosphere, Underwater & Space Challenges” (NEANIAS) is an ambitious project that is promoting Open Science practices and is playing an active role in the materialization of the EOSC ecosystem by efficiently engaging large scientific and professional communities, actively contributing to the technological, procedural, strategic and business development of EOSC.

This work presents the NEANIAS activities and first results related to the co-design and delivery of three innovative services, derived from state-of-the-art research assets and practices in the Space research, that mainly includes astrophysics and planetary science as well as computer science and software engineering tailored to image processing, computer vision and machine learning. The NEANIAS Space services, namely SPACE-VIS, SPACE-MOS and SPACE-ML, deliver a springboard of tools to enrich the workflows of a wide range of targeted users from academic/research institutions to industrial stakeholders e.g. aerospace engineering and related technological companies, but also national space agencies and public outreach bodies e.g. space museums and planetariums. The SPACE-VIS service provides an advanced operational solution for data management and visualization of astrophysics and planetary data adopting FAIR (Findable, Accessible, Interoperable, Re-usable) principles. The SPACE-MOS service provides functionalities for making high quality images from the raw data captured by instruments (map making) and for assembling those images into custom mosaics (mosaicking). Finally, the SPACE-ML service provides advanced solutions for pattern and structure detection in astronomical surveys as well as in planetary surface composition, topography and morphometry. The user requirements collected to guide the software development will be introduced as well as the services delivery processes following the NEANIAS release procedures and the integration into the EOSC platform, finally, the future plans for the next release will be summarized.


Theme – Science Platforms and Data Lakes, Cloud Computing at Different Scales, Cross-Discipline Projects