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@INPROCEEDINGS{Hanke:1050381,
      author       = {Hanke, Michael and Riße, Matthias},
      title        = {{L}arge-{S}cale {RDM} {W}ithout a {C}entralization {C}ost},
      reportid     = {FZJ-2026-00154},
      year         = {2025},
      abstract     = {Software development and data curation or analysis share
                      many of their issues: keeping track of the evolution of
                      files – ideally with information on how, why, when, and by
                      whom – , organizing collaboration with multiple people,
                      keeping track of known issues and other TODOs, discussing
                      changes, making versions available to others, automating
                      tasks, and more. Often you will even have to write code as
                      part of a data project, blurring the line between the two
                      even more. In the free and open-source software development
                      world these issues already have well established solutions:
                      a version control system keeps track of your projects
                      history and ongoing development, a forge can serve as a
                      collaboration hub, CI/CD services provide flexible
                      automation. So, why not apply them to our data management
                      needs? Git, git-annex and DataLad together build the
                      foundation of a decentralized version control system for
                      large datasets, with DataLad being specifically tailored
                      towards Research Data Management. Forgejo-aneksajo on the
                      other hand extends Forgejo – a well-established free
                      software git forge – with git-annex support, turning it
                      into a versatile self-hostable (meta-)data collaboration hub
                      for this ecosystem.},
      month         = {Oct},
      date          = {2025-10-28},
      organization  = {ForschungsDating, Essen (Germany), 28
                       Oct 2025 - 28 Oct 2025},
      subtyp        = {After Call},
      cin          = {INM-7 / ICE-4},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)ICE-4-20101013},
      pnm          = {2112 - Climate Feedbacks (POF4-211) / 5254 -
                      Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-2112 / G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)6},
      doi          = {10.5281/ZENODO.17475911},
      url          = {https://juser.fz-juelich.de/record/1050381},
}