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SUMMARY:Managing Scientific Data and Workflows with DataLad - Ole Bialas\,
  Michał Szczepanik
DTSTART;TZID=Europe/Warsaw:20250819T153000
DTEND;TZID=Europe/Warsaw:20250819T170000
DTSTAMP:20260907T095428Z
UID:pretalx-euroscipy-2025-HUTEDK@pretalx.com
DESCRIPTION:The flourishing of open science has created an unprecedented o
 pportunity for scientific discovery through the global exchange of data an
 d collaboration between researchers. DataLad (datalad.org) supports this b
 y providing the tools to develop flexible and decentralized collaborative 
 workflows while upholding scientific rigor. It is free and open source dat
 a management software\, built on top of the version control systems Git an
 d git-annex. Among its major features are version control for files of any
  size or type\, data transport logistics\, and digital process provenance 
 capture for reproducible digital transformations. \nIn this hands-on works
 hop\, we will start by exploring DataLad’s basic functionality and learn
  how to run and re-run analyses while versioning and keeping track of your
  data. Following this\, we will explore DataLad’s collaborative features
  and learn how to install and work with existing datasets and how to share
  and distribute your work online. After completing this tutorial\, you wil
 l be equipped to start using DataLad to manage your own research projects 
 and share them with the world.
LOCATION:Room 1.20 (Ground Floor\, Shannon)
URL:https://pretalx.com/euroscipy-2025/talk/HUTEDK/
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