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LOCATION:Room 5.0B56
DTSTART;TZID=Europe/Stockholm:20250618T153000
DTEND;TZID=Europe/Stockholm:20250618T160000
UID:submissions.pasc-conference.org_PASC25_sess140_msa138@linklings.com
SUMMARY:Portable Analysis Workflows for Data Reproducibility
DESCRIPTION:Valeriia Lukashenko (University of Zurich)\n\nAs High Energy P
 hysics (HEP) enters an era of unprecedented dataset size, ensuring data an
 alysis reproducibility and preservation becomes a growing concern in the c
 ommunity. HEP physicists often manually manage complex analysis workflows,
  including job submissions and data management. The manual approach is bot
 h labor-intensive and prone to errors. Ultimately, it results in undocumen
 ted dependencies between different analysis steps, making analysis coordin
 ation, sharing, and reproducibility challenging. To address these issues, 
 workflow management tools, such as Snakemake, Common Workflow Language, an
 d Luigi Analysis Workflows, have been adopted in HEP community. A HEP-appl
 icable workflow management system must be transparent, configurable, porta
 ble, and scalable to support the increasing use of HPC resources in data a
 nalysis. However, workflow tools are often perceived as only documentation
  rather than integral components of the analysis process, making adoption 
 challenging for many physicists. In this talk, we will present our experie
 nce with workflow managing tools in HEP analysis, highlighting features of
  the workflow manager essential for the HEP application. We describe some 
 typical issues physicists face when developing their workflows based on th
 e feedback from analysis reproducibility training for HEP professionals. W
 e emphasize the risk of blindly re-executing inherited workflows and advoc
 ate for integrated testing within workflow design.\n\nDomain: Physics\n\nS
 ession Chair: Ozgur Ozan Kilic (Brookhaven National Laboratory)\n\n
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