BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230831T095746Z
LOCATION:Sanada II
DTSTART;TZID=Europe/Stockholm:20230627T120000
DTEND;TZID=Europe/Stockholm:20230627T123000
UID:submissions.pasc-conference.org_PASC23_sess169_msa165@linklings.com
SUMMARY:The Galaxy Training Network: A Powerful Framework for Teaching Sci
 ence
DESCRIPTION:Minisymposium\n\nHans-Rudolf Hotz (Friedrich Miescher Institut
 e of Biomedical Research, Swiss Institute of Bioinformatics)\n\nDespite th
 e ongoing explosion of scientific datasets being generated, brought on by 
 recent technological advances in many scientific areas, basic computationa
 l skills, data analysis, and stewardship are still rarely taught in educat
 ional programs. In order to address this skills gap and empower researcher
 s to perform their own data analyses, the Galaxy Training Network (GTN, ht
 tps://training.galaxyproject.org) has put together a collection of FAIR (F
 indable, Accessible, Interoperable, Reusable) training materials for data 
 analysis utilizing the user-friendly Galaxy framework as its primary data 
 analysis platform. The number of tutorials and contributors is growing rap
 idly. The topics now range from life sciences to climatology, cheminformat
 ics, and machine learning. While initially aimed at supporting researchers
  directly, the GTN has proven to be an invaluable resource for educators a
 s well. Recent efforts have focused on adding increased support for this g
 rowing community of instructors. New features have been added to facilitat
 e the use of the materials in a classroom setting, simplifying the contrib
 ution flow for new materials, and have added a set of train-the-trainer le
 ssons. I will present a general overview, describe the available infrastru
 cture and discuss the latest developments in the GTN project.\n\nDomain: C
 omputer Science, Machine Learning, and Applied Mathematics 
\n\nSession Ch
 air: Gregory Watson (Oak Ridge National Laboratory)
END:VEVENT
END:VCALENDAR