MaRDIFlow: Automating Metadata Abstraction for Enhanced Reproducibility in Computational Workflows

The integration of data-intensive computational studies is vital across scientific disciplines. Computational workflows systematically outline methods, data, and computing resources. With complex simulation models and vast data volumes, Computational Sciences and Engineering (CSE) workflows facilitate research beyond simulations, enabling analysis of diverse data and methodologies. FAIR principles ensure research data are Findable, Accessible, Interoperable, and […]

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