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UID:news459@dbe.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20251127T091744
DTSTART;TZID=Europe/Zurich:20251016T153000
SUMMARY:Increasing computational reproducibilty or how-to-share *your* rese
 arch code
DESCRIPTION:AbstractTo the aim of improving the reproducibility and transpa
 rency of research findings there is a growing interest in sharing openly a
  variety of research artefacts such as: scientific papers but also data an
 d code. While a lot has been said on how to open data (and the so-called F
 AIR principles)\, code is a very special research artefact and as such req
 uires specific solutions for sharing. Is sharing my code on Github and add
 ing a link in my paper enough? Should I use the Gitlab instead? If I follo
 w the best practices in code sharing will my findings be reproducible?\\r\
 \n\\r\\nBiosketchCamille Maumet is a research scientist in neuroinformatic
 s in the Empenn team at Inria of the University of Rennes and IRISA in Fra
 nce. She studies neuroimaging reproducibility. In her current research\, s
 he focuses on the variability of analytical pipelines and its impact on ou
 r ability to reuse (and use) brain imaging datasets. Camille is also an op
 en science advocate and participate actively in national and international
  communities including BIDS (The brain imaging datastructure)\, Brainhack 
 and the French committee for open science.\\r\\n\\r\\nRegistrationhttps://
 www.eventbrite.com/e/increasing-computational-reproducibility-or-how-to-sh
 are-your-research-code-tickets-1672585792129?aff=ebdsoporgprofile [https:/
 /www.eventbrite.com/e/increasing-computational-reproducibility-or-how-to-s
 hare-your-research-code-tickets-1672585792129?aff=ebdsoporgprofile]
X-ALT-DESC:<p><strong>Abstract</strong><br />To the aim of improving the re
 producibility and transparency of research findings there is a growing int
 erest in sharing openly a variety of research artefacts such as: scientifi
 c papers but also data and code. While a lot has been said on how to open 
 data (and the so-called FAIR principles)\, code is a very special research
  artefact and as such requires specific solutions for sharing. Is sharing 
 my code on Github and adding a link in my paper enough? Should I use the G
 itlab instead? If I follow the best practices in code sharing will my find
 ings be reproducible?</p>\n\n<p><strong>Biosketch</strong><br />Camille Ma
 umet is a research scientist in neuroinformatics in the Empenn team at Inr
 ia of the University of Rennes and IRISA in France. She studies neuroimagi
 ng reproducibility. In her current research\, she focuses on the variabili
 ty of analytical pipelines and its impact on our ability to reuse (and use
 ) brain imaging datasets. Camille is also an open science advocate and par
 ticipate actively in national and international communities including BIDS
  (The brain imaging data<br />structure)\, Brainhack and the French commit
 tee for open science.</p>\n\n<p><strong>Registration</strong><br /><a href
 ="https://www.eventbrite.com/e/increasing-computational-reproducibility-or
 -how-to-share-your-research-code-tickets-1672585792129?aff=ebdsoporgprofil
 e">https://www.eventbrite.com/e/increasing-computational-reproducibility-o
 r-how-to-share-your-research-code-tickets-1672585792129?aff=ebdsoporgprofi
 le</a></p>\n\n
DTEND;TZID=Europe/Zurich:20251016T163000
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