Articles & Papers

Despite the many promises of cloud computing in science, its full potential is yet to be unlocked due to the lack of findable, accessible, interoperable and reusable (FAIR) data. To investigate the barriers and promises of FAIR data, we explore the Science Mesh, a federated mesh infrastructure enabling interoperability across research cloud service providers.

CommunityJoin the CS3MESH4EOSC and become one of the first Science Mesh adopters! Instructions to deploy software and rules of participation are available at https://sciencemesh.ioFor further information, visit the website https://cs3mesh4eosc.euThe EU-funded CS3MESH4EOSC project is connecting locally- and institutionally- provided sync and share services and scaling them up to the European level and beyond. The project is delivering the Science Mesh, an interoperable platform to easily sync and share data, deploy applications and software components, while extending functionalities.

In this paper, submitted at the CHEP 2019 Conference (Adelaide, Australia), we introduce the CS3APIs and its reference implementation, Reva.

The exponential increase in the use and implementation of digital technologies for collaboration in research has shown to be crucial during this pandemic time. Being able to effectively work together from different countries, while ensuring digital sovereignty of data is essential for everyday scientific and industrial practices.

The Science Mesh aims to create a federated infrastructure of sync-and-share services hosted by various organisations world-wide. The project, that is funded by the European Union, has kicked-off in January 2020. SURFdrive and Research Drive are well-known examples of sync-and-share services.