Universitätsklinikum Essen RCCResearch Compute Cluster
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Data lifecycle · RCC ClusterDocs

The RCC data lifecycle

RCC treats data movement and storage as part of the project rather than as unrelated copies.

instrument / facility / collaborator
        -> governed ingest
        -> active project data
        -> scheduled analysis
        <-> approved managed transfer
        -> publication / archive
        -> restore when needed
        -> governed disposition

Lab VLAN

Where direct research-instrument integration is configured, RCC uses the dedicated campus Lab VLAN. It is an acquisition path, not a way to turn instrument-control computers into general compute nodes or unrestricted storage clients.

Instrument integration should define project destination, completion detection, retry/resume, counts, checksums or equivalent verification, ownership, monitoring, and retention.

Active data and scratch

Durable inputs/results belong on approved project storage. Node-local /local is temporary job-local work where documented.

Managed transfer and Globus

Large or restartable transfers should use a managed transfer route. Globus is part of the transfer plane where enabled.

Transfer does not remove project ownership, data classification, endpoint policy, verification, or provenance.

Archive

Archive is a project lifecycle transition, not "move old files somewhere."

A useful state model is:

planned -> validated -> transferring -> verified -> archived

Finalization should not skip verification.

Coscine

The RCC-to-Coscine transfer is not yet released. Once that reviewed path is available, Coscine can be an archive target for projects using it. RCC keeps its canonical project/provenance/archive semantics and maps metadata into the selected target.

Research Objects are optional

An archive does not require every project or workflow to create an RO-Crate. Research Objects are used when they add value for publication, important workflow checkpoints, handoff, preservation, or project closure.

See Research Objects and FAIR data.