CS3 2026 - Cloud Storage Synchronization and Sharing

Session

Data Science Environments & HPC integration

HPC

Mar 18, 2026, 10:00 AM

Gamle Festsal (University of Oslo)

Conveners

Data Science Environments & HPC integration

• Maciej Brzezniak

20. From Primary Data to Computational Analysis: Bridging HPC Workflows and Research Documentation

Mr Ramon D'Agosta (ResearchSpace), Mr Rory Macneil (ResearchSpace)

3/18/26, 10:00 AM

FAIR and Open Data, Research Data Lifecycle, Data Science Environments & Preservation

Research institutions face a critical challenge in managing large-scale data, such as sequencing data, across their complete lifecycle—from generation of the primary data with an instrument through HPC analysis to long-term archival storage—while maintaining data provenance and FAIR compliance. Researchers currently lack integrated tools to coordinate data movement across storage tiers,...

22. Overview of software and infrastructure for research data at ETH Zurich

Caterina Barillari, Dr Jarunan Panyasantisuk (ETH Zurich)

3/18/26, 10:15 AM

FAIR and Open Data, Research Data Lifecycle, Data Science Environments & Preservation

In this talk we will present the options available to researchers at ETH Zurich for managing, storing, analyzing and sharing research data.
Since 2022, guidelines for research data management are in place at ETH Zurich. These state that all processes around research data must be documented according to the FAIR data principles and recommend the use of Electronic Laboratory Notebooks...

24. EXA4MIND: A Modular Extreme Data Analytics Platform

Mohamad Hayek (Leibniz Supercomputing Centre)

3/18/26, 10:30 AM

EFSS and storage federations for EOSC and eResearch infrastructures.

In this talk, we present the project EXA4MIND (Extreme Analytics for Mining Data spaces), which establishes a modular, flexibly-deployable Extreme Data analytics platform. The platform toolkit enables the user to combine different data storage, database systems and powerful computing infrastructures to enable advanced data analytics, machine learning and AI on heterogeneous, large datasets...

38. Data Commons and Jupyter integration in CERNBox

Rasmus Oscar Welander

3/18/26, 10:45 AM

FAIR and Open Data, Research Data Lifecycle, Data Science Environments & Preservation

CERNBox is CERN’s open-source Enterprise File Sync&Share service and uses the Open Cloud Mesh (OCM) protocol to support federated sharing across independently operated sites.

EOSC Data Commons will provide building blocks that connect discovery, selection, and execution of research-data workflows, including services such as the EOSC Matchmaker and the EOSC Data Player. Through the project,...