The first version of the NEANIAS Space portal is now live!. You can find it at: https://thematic.dev.neanias.eu/SPACE/.
The portal is provided by the NEANIAS WP4 Space community (made up of INAF, UoP, JACOBS, ALTEC, MEEO, UNIMIB and SZTAKI). This first release has been designed and developed by Michelle Osubor of the School of Creative Technologies at University of Portsmouth for her MSc dissertation in Digital Media.
The NEANIAS Space Research is focused on the co-design of three innovative services in the Space environment for user-communities within R&D:
- SPACE-VIS - Data Management and Visualization: The service provides anadvanced operational solution for data management and visualization of astrophysics and planetary FAIR data based on widespread and popular tools like VisIVO, ADN, PlanetServer and ADAM.
- SPACE-MOS - Making and Mosaicing multidimensional images: The 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 (mosaicing).
- SPACE-ML - Structure detection with Machine Learning techniques: The service provides advanced solutions for pattern and structure detection in astronomical surveys as well as in planetary surface composition, topography and morphometry. The service includes tools such as CAESAR, CuTEx and VLFF and integrates cutting-edge Machine Learning algorithms to perform advanced classification for structures of sources in the sky or planetary surfaces to identify regions of interest.
The webpages of the portal are designed for optimal community engagement with project outcomes for both specialist (e.g. astronomers and planetary scientists) and non-specialist target audiences. The concepts, underlying principles and methodology can be of use also to other NEANIAS communities in the atmospheric and underwater sectors. Further, there may be benefits to communities beyond NEANIAS wanting to develop cloud-based services for EOSC, e.g. to support user-friendly webpages for showcasing community outcomes.
The webpages have been developed with HTML5, CSS and JavaScript and include the RSS feed from the NEANIAS Portal. Source code for the space portal webpages is available from the NEANIAS GitLab repository.