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DTSTAMP:20230831T095754Z
LOCATION:Sanada II
DTSTART;TZID=Europe/Stockholm:20230627T110000
DTEND;TZID=Europe/Stockholm:20230627T130000
UID:submissions.pasc-conference.org_PASC23_sess169@linklings.com
SUMMARY:MS3H - Galaxy: An Open Web-based Platform for FAIR Data Analysis a
 nd Computing across Scales, Domains and Communities
DESCRIPTION:Minisymposium\n\nThe Galaxy platform is a workflow management 
 system that has the potential to simplify the use of diverse computing inf
 rastructures, effectively unlocking and democratising access to powerful d
 ata processing and computing capabilities. Originally developed for the bi
 oinformatics community, but architected to be neutral to any particular sc
 ience domain, Galaxy is now being deployed for researchers and professiona
 ls in the materials science, astrophysics, climate science and nuclear phy
 sics fields to optimally utilize the diverse computing infrastructures tha
 t are potentially available to these communities. In this mini-symposium, 
 participants will explore the different aspects of enabling effective data
  analysis across a variety of scales, domains, and communities utilizing t
 he Galaxy platform. This will include presentations on deploying and scali
 ng Galaxy infrastructure in an operational facility, the challenges in tra
 nsforming science use cases into functioning workflows, and how European s
 cientific organizations are using galaxy to study muon science, climate sc
 ience, and physics. We will also include a presentation on the Galaxy plat
 form itself, and in particular the training and educational network that i
 s used by a large number of researchers to promote open data analysis prac
 tices worldwide.\n\nLessons Learned Deploying Galaxy at a Neutron Scatteri
 ng Facility\n\nOak Ridge National Laboratory (ORNL) seeks to answer big sc
 ience questions about the fundamental nature of materials at the atomic sc
 ale. It does this using two of the most advanced neutron scattering facili
 ties in the world: the High Flux Isotope Reactor (HFIR) and the Spallation
  Neutron Source (SN...\n\n\nSergey Yakubov, Gregory Cage, and Gregory Wats
 on (Oak Ridge National Laboratory)\n---------------------\nGalaxy and Scie
 ntific Communities: How to Incorporate New Ones, Uplift Engaged Ones and M
 aintain Mature Ones\n\nThe Galaxy platform has been designed as science do
 main-neutral and, recently, it has been expanding into new scientific comm
 unities. In this talk I will present examples from our work in the EuroSci
 enceGateway project, which aims to leverage European computing infrastruct
 ures for data-intensive res...\n\n\nLeandro Liborio (Science and Technolog
 y Facilities Council); Eli Chadwick (The Carpentries); Patrick Austin and 
 Alejandra Gonzalez-Beltran (Science and Technology Facilities Council); Vo
 lodymyr Savchenko (EPFL, University of Geneva); Andrii Neronov (EPFL, Univ
 ersity of Paris); Jean Iaquinta (University of Oslo); and Anthony Bretaude
 au (INRAE)\n---------------------\nTransitioning Existing Data Reduction W
 orkflows at the Cornell High Energy Synchrotron Source to Galaxy\n\nThe X-
 ray Imaging of Microstructures Gateway (XIMG) has been developed for the s
 tructural materials community at the Cornell High Energy Synchrotron Sourc
 e (CHESS). High energy synchrotron X-ray diffraction and imaging technique
 s continue to push the limits of what can be captured spatially and temp..
 .\n\n\nRolf Verberg, Kelly Nygren, Keara Soloway, Valentin Kuznetsov, and 
 Werner Sun (Cornell University, CHESS)\n---------------------\nThe Galaxy 
 Training Network: A Powerful Framework for Teaching Science\n\nDespite the
  ongoing explosion of scientific datasets being generated, brought on by r
 ecent technological advances in many scientific areas, basic computational
  skills, data analysis, and stewardship are still rarely taught in educati
 onal programs. In order to address this skills gap and empower rese...\n\n
 \nHans-Rudolf Hotz (Friedrich Miescher Institute of Biomedical Research, S
 wiss Institute of Bioinformatics)\n\nDomain: Computer Science, Machine Lea
 rning, and Applied Mathematics &#8232;\n\nSession Chair: Gregory Watson (Oak Rid
 ge National Laboratory)
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