OBELICS (OBservatory E-environments LInked by common ChallengeS) is enabling interoperability and software re-use for the data generation, integration and analysis of the ASTERICS ESFRI and pathfinder facilities. OBELICS is creating an open innovation environment for establishing open standards and software libraries for multi-wavelength/multi-messenger data. OBELICS is also developing common solutions for streaming data processing and extremely large databases, as well as studying advanced analysis algorithms and software frameworks for data processing and quality control.
The specific objectives are:
Train researchers and data scientists in the ASTERICS ESFRI and pathfinder projects to apply state-of-the-art parallel software programming techniques, to adopt big-data software frameworks, to benefit from new processor architectures and e-science infrastructures.
Maximise software re-use and co-development of technology for the robust and flexible handling of the huge data streams generated by the ASTERICS ESFRI and pathfinder facilities.
Adapt and optimise extremely large database systems to fulfil the requirements of the ASTERICS ESFRI projects. Cooperation with the ESFRI pathfinders, computing centres, e-infrastructure providers and industry will be organised and managed to fulfil this objective.
Study and demonstrate data integration across ASTERICS ESFRI and pathfinder projects using data mining tools and statistical analysis techniques on Petascale data sets.
All tasks are built upon the state-of-the-art in ICT, in cooperation with major European e-infrastructures and are conceived to minimise fragmentation. Communications and links with other communities and e-science service providers are considered in order to contribute to the effectiveness of the OBELICS objectives. The work in OBELICS workpackage is organized in following four tasks.
The activities and operation of OBELICS are shown schematically in the image.
OBELICS is led by Dr. Giovanni Lamanna. OBELICS brings together twelve European research institutions to collaborate on various tasks of this workpackage: LAPP, ASTRON, INAF, University of Cambridge, JIVE, IFAE, CEA, Universidad Complutense Madrid, CPPM, APC, INFN and FAU