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DTSTAMP:20260421T090513Z
LOCATION:Bldg. 8 - Room B 101
DTSTART;TZID=Europe/Stockholm:20260629T160000
DTEND;TZID=Europe/Stockholm:20260629T180000
UID:submissions.pasc-conference.org_PASC26_sess126@linklings.com
SUMMARY:MS2G - Data Management in Scientific Workflows
DESCRIPTION:Data-driven research methods have become essential for many sc
 ientific domains, such as earth sciences, high-energy physics, material sc
 ience, or biomedical engineering. Within these domains, data is collected 
 with different tools, stored in different formats and systems, organized a
 nd accessed in typical workflows, and overly-tuned towards the domain requ
 irements. Additionally, the data-management practices by which data is col
 lected, prepared, processed, and shared vary a lot, ranging from highly ce
 ntralized to small-scale and perhaps siloed approaches. We propose this mi
 nisymposium as a forum for experts to share and discuss practices, require
 ments and challenges for data management. Our aim is to highlight best pra
 ctices and challenges across the breadth of scientific computing and estab
 lish a common understanding of scientific data management, to enable the c
 o-design of HPC methods and tools for a diverse portfolio of data-driven, 
 cross-domain scientific workflows and research infrastructure. This minisy
 mposium will consist of three 25-minute presentations, followed by a Q&A s
 ession organized as a panel with the presenters. For all our invited speak
 ers, we gave the same assignment: introduce your research and ideas throug
 h the lens of demand and offer for next generation data management for sci
 entific computing. This will be the focus of the panel, as well.\n\nData s
 torage and management for high-energy physics\n\nBetween the four main exp
 eriments at CERN’s Large Hadron Collider, an estimated 2 EB of high-energy
 -physics (HEP) data has been recorded and stored since 2009.\nEach experim
 ent is governed by a large collaboration, consisting of over one hundred i
 nstitutes from all over the world. The scale of ...\n\n\nFlorine Willemijn
  de Geus (CERN, University of Twente)\n---------------------\nPanel sessio
 n\n\nThis session will be dedicated to a panel discussion and Q&A of the p
 resenters of this minisymposium. Our aim is to identify and discuss common
  practices and challenges, and share ideas on how to overcome these challe
 nges and ultimately contribute to HPC systems co-design.\n\n\nVincenzo Edu
 ardo Padulano (CERN)\n---------------------\nRDM vs science-first thinking
  about data management\n\nResearch Data Management (RDM) is crucial for en
 suring research integrity, reproducibility, and reuse, while maximizing th
 e impact and visibility of scientific findings. As such, RDM and the FAIR 
 principles are pillars of open science. In the last decade, RDM has been w
 idely implemented, supported b...\n\n\nRob van Nieuwpoort (Leiden Universi
 ty)\n\nDomain: Climate, Weather, and Earth Sciences, Life Sciences, Physic
 s, Computational Methods and Applied Mathematics\n\nSession Chairs: Florin
 e Willemijn de Geus (CERN, University of Twente); Vincenzo Eduardo Padulan
 o (CERN); and Ana-Lucia Varbanescu (University of Twente, University of Am
 sterdam)
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