Workflows for Researchers

These guides answer the question "how do I do X?" for researchers who already have working familiarity with Nuvolos. If you are new to the platform, start with the Researcher tutorials first - they take you from creating your first project to a reproducible, reviewer-ready result.

The guides are organised by where you are in your research lifecycle:

• Project setup - create or join a project, add files and code, structure your project, create alternate instances for experimentation.

• Collaborate and review - invite collaborators with the right roles, invite an external reviewer.

• Run analyses and applications - create, start, and stop applications.

• Work with data - set up a dataset, import data, query and write back tabular data from applications.

• Scale and automate - use GPUs, scale to HPC, automate with the CLI or Python API.

• Preserve and share results - export your project, snapshot and distribute results.

Each page assumes you can navigate Nuvolos's Dashboard, sidebar, and breadcrumbs. If anything in the interface is unfamiliar, see Getting Started › Find your way around.

Where to go next

• For end-to-end walk-throughs of common researcher workflows (first project, reproducible result, reproducing a colleague's work), see Researcher tutorials.

• For procedures every role shares (invitations, applications, snapshots, distribution), see How-to › Common Workflows.

• For the technical reference on applications, storage, data storage, and configuration, see Reference.

• For the conceptual model behind instances, snapshots, distribution, and the data storage architecture, see Concepts.