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SUMMARY:OT-ST-WS-07 Open Science practices for robust and reproducible res
 earch
DTSTART:20260917T110000Z
DTEND:20260917T140000Z
DTSTAMP:20260815T034400Z
UID:indico-event-37@events.bremen-research.de
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Data Train UBRA (U Bremen Research Alliance)\n\nBack
 ground\nOpen science practices are increasingly important for improving th
 e transparency\, reproducibility\, and credibility of research. Across dis
 ciplines\, researchers are expected to make their workflows\, data\, code\
 , and results more findable\, accessible\, interoperable\, and reusable wh
 ere ethically and legally possible. These practices benefit not only the s
 cientific community by enabling verification\, reuse\, and collaboration\,
  but also society more broadly by increasing accountability\, reducing res
 earch waste\, and supporting evidence-based decision-making.\nThis worksho
 p is designed for researchers\, PhD candidates\, students\, and research s
 upport staff who want to understand and apply open science principles in t
 heir own work. It is particularly relevant for those working with research
  data and computational workflows who wish to make their projects more rep
 roducible and easier to share\, maintain\, and reuse.\nLearning contents\n
 The workshop consists of a one-hour theoretical introduction followed by a
  two-hour practical session. In the theoretical part\, participants will b
 e introduced to the principles and motivations of open science\, with a fo
 cus on transparency\, reproducibility\, and robust research practices. The
  practical part focuses on the BIDS Manager as a tool to support open and 
 reproducible research workflows. After a short introduction to the tool an
 d its role in structured data management\, participants will spend approxi
 mately 1.5 hours in hands-on practical work. During this session\, they wi
 ll apply BIDS Manager to organize\, document\, and prepare research data i
 n line with reproducible workflow principles.\nLearning objectives\nAfter 
 attending the workshop\, participants will be able to:\n\nExplain the basi
 c principles of open science and why they matter for robust and reproducib
 le research.\nIdentify common barriers to reproducibility and strategies t
 o address them. Recognize the value of structured data organization\, docu
 mentation\, and transparent workflows.\nUnderstand the purpose of the BIDS
  standard and the role of BIDS Manager in supporting reproducible research
 .\nUse BIDS Manager to begin organizing and documenting research data in a
  structured and reusable way.\nReflect on how open science practices can b
 e integrated into their own research workflows.\n\nPrior knowledge\n\nNo p
 rior programming experience is required. The practical part will be beginn
 er-friendly and will use the BIDS Manager graphical user interface.\nParti
 cipants should have a general interest in open science\, reproducible work
 flows\, and research data organization. Basic familiarity with research da
 ta is helpful\, but not required.\nAlthough the workshop will include an i
 ntroduction to BIDS and its main concepts\, participants are encouraged to
  briefly explore the BIDS standard before the course.\n\nTechnical require
 ments\n\nParticipants should bring their own laptop and have access to Edu
 roam or another stable internet connection.\nFor the practical part\, part
 icipants will use BIDS Manager. Participants are encouraged to install BID
 S Manager before the workshop by following the installation instructions:
  https://ancplaboldenburg.github.io/bids_manager_documentation/installati
 on.html\n\n \nRecommended literature/content for preparation or further r
 eading\nNo mandatory preparation is required.\nOptional preparation/furthe
 r reading:\n\n\nBIDS Manager installation instructions: https://ancplabold
 enburg.github.io/bids_manager_documentation/installation.html\n\n\nBIDS st
 andard: https://bids-specification.readthedocs.io/\n\n\nThe Lecturers\n\n\
 n\n\nDr. Cassie Short\nhttps://uol.de/psychologie/statistik/cassie-short\n
 \nOSIG Team\nhttps://uol.de/psychologie/open-science/osig\n\n\n\n\n\n\n\n
  \nFind out more about the Data Train lecturers on our website.\n \nThis
  event is organized by\n\n\nhttps://events.bremen-research.de/event/37/
LOCATION:Room 2.2070/2.2090 (2. floor) (Unicom 2 (Haus Oxford))
URL:https://events.bremen-research.de/event/37/
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