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@INPROCEEDINGS{Janz:1048137,
      author       = {Janz, Alicia},
      title        = {{FAIR} not {F}oul! {T}he {DKZ}.2{R} {R}eproducibility
                      {C}hecker for more {T}ransparency and {F}airness in {AI}
                      {R}esearch},
      reportid     = {FZJ-2025-04519},
      year         = {2025},
      abstract     = {The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R)
                      aims at promoting Data Literacy in research. We offer free
                      consulting, workshops and tools to support early career
                      researchers in improving their data and methods related
                      skills such as making their research more FAIR. At the "Tag
                      der Forschungsdaten" we want to demonstrate the prototype of
                      our reproducibility checker tool. The tool helps researchers
                      strengthen transparency, and data quality in their
                      publications with regards to the publication's potential of
                      being reproduced - showing how smart use of AI tools can
                      improve research outcomes},
      month         = {Nov},
      date          = {2025-11-18},
      organization  = {Tag der Forschungsdaten in NRW 2025,
                       RWTH Aachen (Germany), 18 Nov 2025 - 18
                       Nov 2025},
      subtyp        = {Other},
      cin          = {IAS-9},
      cid          = {I:(DE-Juel1)IAS-9-20201008},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2025-04519},
      url          = {https://juser.fz-juelich.de/record/1048137},
}