Speaker
Description
Your Managed Platform for Data-Driven Research
Research today rarely stays within one institution, one dataset, or one infrastructure. As it spans providers and partners, the tools that support it tend to fragment along the same lines: every institution provides its own environments, connects them to its own data by hand, and enforces its own access rules, with little of that effort carrying over from one collaboration to the next.
We are developing O2A WORKSPACE, a new platform within the O2A data flow framework, to turn that fragmentation into one shared ecosystem. Still in its concept phase, it is designed around two sides at once.
On the one hand researchers get a single login into project-based workspaces populated with ready-to-use services, JupyterHub and RStudio among them, pre-connected to institutional and curated data sources such as O2A INGEST and PANGAEA, so that working in them means working with findable, accessible, and reusable data from the outset, with resource use shown transparently as credits rather than buried in an invoice.
On the other hand infrastructure providers keep full autonomy over their own systems: they define a service once as a standardized template, and O2A WORKSPACE deploys and orchestrates it across partner institutions, absorbing the operational burden of updates and provisioning. Providers keep control over the quality of what runs on their infrastructure and gain usage metrics for capacity planning.
Positioned between data acquisition and data publication, O2A WORKSPACE is meant to be where processing and analysis actually happen within the O2A data flow. Collaboratively and FAIR by design, without either side having to manage infrastructure to make that possible. This poster presents the concept as designed so far, illustrated through example project, and the path toward a first working prototype.