Hauptseite > Publikationsdatenbank > 10 years of reproducibility in biomedical research: howcan we achieve generalizability and fairness? > print

001     1019167
005     20231213202051.0
024 7 _ |a 10.34734/FZJ-2023-05213
|2 datacite_doi
037 _ _ |a FZJ-2023-05213
100 1 _ |a Wagner, Adina Svenja
|0 P:(DE-Juel1)178612
|b 0
|u fzj
111 2 _ |a ISBI 2023
|c Cartagena de Indias
|d 2023-04-18 - 2023-04-21
|w Colombia
245 _ _ |a 10 years of reproducibility in biomedical research: howcan we achieve generalizability and fairness?
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 1702452937_7741
|2 PUB:(DE-HGF)
|x After Call
520 _ _ |a 10 years ago, a series of publications pointed to the difficulty of reproducing scientific findings. Thisreproducibility crisis was a wake-up call for scientific communities to rethink how we practice andcommunicate research, and an important driver towards greater transparency and robust results. Ever since,biomedical imaging undertook various efforts to overcome reproducibility issues: From increasing samplesizes for higher statistical power, to data sharing and increased collaborations to acquire such samples, andpromoting detailed reporting practices and code sharing to ease computational reproducibility.But where are we standing with respect to reproducible biomedical imaging now? We discuss recentadvances and open questions, and focus on how the conversation has moved beyond efforts to reduce falsepositive findings to broader questions of generalizability and fairness. How does a finding observed in agiven group apply to the population at large? How does a finding obtained with one analysis vary whencomputed using another tool? How does a finding observed in a given group apply to subgroups of thatpopulation, in particular to less represented subgroups? How can open science help with the complexquestions of building fair algorithms and fairness in who participates in the process of science?
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
|0 G:(DE-HGF)POF4-5254
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Maumet, Camille
|0 P:(DE-HGF)0
|b 1
|e Corresponding author
700 1 _ |a Ganz, Melanie
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Praag, Cassandra Could van
|0 P:(DE-HGF)0
|b 3
856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/1019167/files/bem001428.pdf
856 4 _ |y OpenAccess
|x icon
|u https://juser.fz-juelich.de/record/1019167/files/bem001428.gif?subformat=icon
856 4 _ |y OpenAccess
|x icon-1440
|u https://juser.fz-juelich.de/record/1019167/files/bem001428.jpg?subformat=icon-1440
856 4 _ |y OpenAccess
|x icon-180
|u https://juser.fz-juelich.de/record/1019167/files/bem001428.jpg?subformat=icon-180
856 4 _ |y OpenAccess
|x icon-640
|u https://juser.fz-juelich.de/record/1019167/files/bem001428.jpg?subformat=icon-640
909 C O |o oai:juser.fz-juelich.de:1019167
|p openaire
|p open_access
|p VDB
|p driver
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)178612
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5254
|x 0
914 1 _ |y 2023
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21