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“Workflow Systems for Large-Scale Scientific Data Analysis” published by BerlinUP Books

Workflow Systems for Large-Scale Scientific Data Analysis

Workflow Systems for Large-Scale Scientific Data Analysis

Our new publication, edited by Ulf Leser, Marcus Hilbrich, Sean R. Wilkinson, and Rafael Ferreira da Silva, explores current challenges in scientific data analysis.

News from May 15, 2026

From continuously growing data volumes and AI-supported methods to requirements for reproducibility, scalability, and the efficient use of modern computing infrastructures, the book provides a comprehensive overview of modern Scientific Workflow Management Systems (SWMS), their technologies, applications, and future perspectives. The volume brings together contributions from 127 experts from 17 countries.

“Workflow Systems for Large-Scale Scientific Data Analysis” is available as an open-access publication via the BerlinUP webshop and the DepositOnce repository (https://doi.org/10.14279/depositonce-24000). A printed edition is also available through the webshop.

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