Virtual Environments in Experiments: A Prototype

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When performing experiments, scientific staff often works collaboratively and on multiple machines (computers, servers). We have developed a prototypical solution that uses virtual environments and containers to improve collaboration in experimental work. The environments are created with well-known and popular tools like Conda and Pip, offering flexibility and scalability. The use-case is cavitation experiments in which the primary data are snapshots created with a high resolution, high frequency camera, leading to data sizes of about 1TB. Using virtual environments and containerization ensures smoother collaboration, allowing the scientific staff to maintain consistency.

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Michaela Lestakova, Michaela.lestakova@tu-darmstadt.de

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This service has the following tags:

Alex, IRL0, Organising & Processing, Service, Storing & Computing

The tags correspond to:
The Archetypes: Services relevant to Alex – Bespoke Experiments, Betty – Research Software Engineering, Caden – Provenance Tracking, Doris – High Performance Computing, Ellen – Complex Systems, Fiona – Data Re-Use and Enrichment

The data lifecycle: Services related to Informing & Planning, Organising & Processing, Describing & Documenting, Storing & Computing,
Finding & Re-Using, Learning & Teaching

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