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Scientific Workflow

The scientific workflow is a formal modeling method used in both simulation and data analytics to manage the coordinated execution of repeatable actions accounting for dependencies and concurrency. Typical actions can include high performance computing, data management and analysis, as well as visualization.

Furthermore, the scientific workflow is a paradigm that can be applied to data management and data analysis, as well as to multi-physics models. By design, scientific workflows bring many benefits that are essential for modern research, e.g., automation, scalability, reusability, provenance, resilience and verifiability.