Neutrino Telescopes in the Mediterranean Sea

The observation of high energy extraterrestrial neutrinos can be an invaluable source of information about the most energetic phenomena in the Universe. Neutrinos can shed light on the processes that accelerate charge particles in an incredibly wide range of energies both within and outside our Galaxy. They can also help to investigate the nature of the dark matter that pervades the Universe. The unique properties of the neutrino make it peerless as a cosmic messenger, enabling the study of dense and distant astrophysical objects at high energy. The experimental challenge, however, is enormous. Due to the weakly interacting nature of neutrinos and the expected low fluxes very large detectors are required. In this paper we briefly review the neutrino telescopes under the Mediterranean Sea that are operating or in progress. The first line of the ANTARES telescope started to take data in March 2006 and the full 12-line detector was completed in May 2008. By January 2009 more than one thousand neutrino events had been reconstructed. Some of the results of ANTARES will be reviewed. The NESTOR and NEMO projects have made a lot of progress to demonstrate the feasibility of their proposed technological solutions. Finally, the project of a km3-scale telescope, KM3NeT, is rapidly progressing: a conceptual design report was published in 2008 and a technical design report is expected to be delivered by the end of 2009

Using persona as lenses for a reference model

This paper investigates the value of persona in relation to a conceptual product: the ENVRI reference model designed for environmental research infrastructures. Three personas have been created to understand the use of the model and the challenges faced when applying it. Personas helped identify the level of support required by different users, prioritise the audience to address first, and revealed what aspects of the model are important to different audiences. We have made significant progress in understanding how to improve communication about the model to each persona

Fair Data productivity and advanced digitalization of research

Les principes FAIR favorisent la réutilisation des objets de recherche générés par les chercheurs dans tous les domaines de la science et de l’innovation. Cela comprend l’amélioration de la transparence dans le processus de recherche, l’amélioration de la reproductibilité des résultats et une réutilisation des données, des logiciels et de l’analyse des résultats pour de nouvelles recherches et Innovations, également de caractère transdisciplinaire et interdisciplinaire, par la recherche large et la communauté de l’innovation soutenue par le Cloud européen pour la science ouverte