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@INPROCEEDINGS{Wagner:1019162,
      author       = {Wagner, Adina Svenja},
      title        = {{T}owards computational reproducibility when working with
                      very large datasets},
      reportid     = {FZJ-2023-05208},
      year         = {2023},
      abstract     = {This archive contains the slides for a talk entitled
                      'Towards computational reproducibility when working with
                      very large datasets', part of the special session ' 10 years
                      of reproducibility in biomedical research: How can we
                      achieve generalizability and fairness?' at the ISBI 2023 .},
      month         = {Apr},
      date          = {2023-04-18},
      organization  = {ISBI 2023, Cartagena de Indias
                       (Colombia), 18 Apr 2023 - 21 Apr 2023},
      subtyp        = {After Call},
      keywords     = {ISBI (Other) / biomedical imaging (Other) / FAIR (Other) /
                      data analysis (Other) / DataLad (Other) / reproducibility
                      (Other)},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.5281/ZENODO.7835783},
      url          = {https://juser.fz-juelich.de/record/1019162},
}