CS3MESH4EOSC

Collaborative Documents  Simultaneously edit documents in safe European cloud environments - 4th Podcast with Holger Angenent from CS3MESH4EOSC and University of Munster

CS3MESH4EOSC is kicking off its 3rd Podcast episode, entitled "On-Demand Data Transfers | Smooth Remote High-speed transfer of data- 3rd Podcast with Ron Trompert from CS3MESH4EOSC and SURF".

CS3MESH4EOSC is kicking off its 2nd Podcast episode, entitled “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.

Data Science Environments

This specific Data Service is all about the integration of data science environments into the federated Science Mesh, in order to facilitate collaborative research and enable cross-federation sharing of computational tools, algorithms and resources.

But what is the main functionality? Data Science Environments is accessible via the web interface at the remote sites of researchers to enable them to work on algorithms and data processing programs interactively.

The objective is that the users will be able to access remote execution environments to replay (and modify) analysis algorithms without the need to set up upfront accounts in the remote system.

The functional integration with EFSS (Enterprise File Sync and Share) such as:

· Interactive features: advance from current JupyterHub to JupyterLab with collaborative notebook editing, explore interactive widgets such as those provided by QuantStack Voila, etc.

· Jupyter native - interfaces for OCM sharing

· Connection to code repositories such as Git-based or CVMFS-based and lightweight runtime environments similar to mybinder.org

· Interface to computational resources (such as BigData Spark, HPC, batch and Grid clusters).

Guido Aben from AARNet - CS3MESH4EOSC 1st Podcast 

We are happy to announce our first podcast about the Science Mesh, important asset of the CS3MESH4EOSC project. The podcast entitled Science Mesh - unlocking scientific collaboration through a sync & share interoperable platform. 

Science Mesh, is the main asset of the project, provides an interoperable platform to easily sync & share, and deploy applications and software components within the full CS3 community to extend functionalities of the service.

Science Mesh enables researchers, educators, data curators and analysts to retain control over their remote or domestic datasets, while becoming FAIR compatible and integrated with the European Open Science Cloud (EOSC) at the same time. This will offer researchers opportunities to assemble an efficient, reliable, collaborative and transparent research tool chain. Our target stakeholders will be able to directly access the service provided by Science Mesh from easy-to-use interfaces and discover the different functionalities.

These services are independent from the specific field of work of the researchers, thus enabling to reach a wide audience of stakeholders interested in collaborating for increasing scientific knowledge, coming from both the academia and the research industry.

In this first episode we will hear from Guido Aben, member of the CS3MESH4EOSC project and Director of eInfrastructure Partnership at AARNet, what is the aim of the project and especially he will explain what really is the Science Mesh.