We had a chat with Hugo Gonzalez, Technical Work Package Leader in CS3MESh4EOSC, to understand better his role in the project, the chosen technology the consortium is working on and the improvements planned for the best result.
The CS3MESH4EOSC collaboration with ESCAPE project was listed as one of the EOSC Future use-cases showing the value of the European Open Science Cloud (EOSC) for research. The cases are named “EOSC in practice stories” and highlight how EOSC resources (i.e.
ScienceMesh is an interoperable mesh of collaborative data stores with connected research data services. It is under development through the CS3MESH4EOSC project, and once delivered will support flexible and accurate sharing of research data from early stages of the data lifecycle.
From the 24th to the 28th of January 2022, the CS3MESH4EOSC project, in collaboration with cs3community.org, organised the second edition of the Science Mesh workshop co-located at the CS3 Conference 2022.
The Low Frequency Array (LOFAR) telescope, which is also one of the CS3MESH4EOSC use-cases under "On demand-data transfer services" from Science Mesh, was featured in CNN Space and Science section.
CS3MEH4EOSC will support the next phase of shaping the EOSC, revolutionising how science is done in Europe as members from six CS3MESH4EOSC partners were selected to join several European Open Science Cloud Task Forces.
Data Science Environments, What is it and what are the Main Benefits? – 2nd Podcast with Marcin Sieprawski from CS3MESH4EOSC and Software Mind
CS3MESH4EOSC is kicking off its 2nd Podcast episode: “Data Science Environment - What is it and what are the main benefits?” This episode is focused on the Data Science Environments, a data service that will be integrated in the Mesh the main assets of the CS3MESH4EOSC project.
New Protocols and Application Programme Interface Extensions Integrate Data Services into the Science Mesh
The CS3MESH4EOSC Project is developing several application-specific extensions to be integrated with the protocols and application programming interfaces (APIs) developed for the Science Mesh. With them, the different applications can be fully integrated into the Science Mesh and, therefore, will be available to the Science Mesh.
Capitalising on Enterprise File Sync and Share services to build the software foundation for the Science Mesh
CS3MESH4EOSC project has started the development of integration mechanisms between the three most widely-used Open-Source Enterprise File Sync&Share (EFSS) platforms (ownCloud, Nextcloud and Seaﬁle) and the Science Mesh service.