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@INPROCEEDINGS{Wagner:1040339,
      author       = {Wagner, Adina Svenja and Szczepanik, Michał and Heunis,
                      Stephan and Mönch, Christian and Wierzba, Małgorzata and
                      Waite, Laura and Waite, Alexander and Poldrack, Benjamin and
                      Halchenko, Yaroslav and Hanke, Michael},
      title        = {{D}ata{L}ad: 10+ years of academic software development},
      reportid     = {FZJ-2025-01847},
      year         = {2025},
      abstract     = {DataLad (Halchenko et al., 2021) is free and open source
                      software for managing digital objects and their relationship
                      built on top of Git and git-annex. Its initial commit in
                      2013 marked the beginning of a more than 10 year long
                      academic software history so far, supported by various
                      grants, institutions, and underlying research endeavors.
                      Over time, the software became an extendable ecosystem,
                      addressing a broad range of data logistics challenges in a
                      core library and many extension packages, growing both in
                      features and contributor community. In turn, it also sparked
                      development and grant support in git-annex, a crucial
                      software with a bus factor of 1. Navigating the research
                      software waters of changing affiliations, developer churn,
                      research obligations, and a modular architecture that offers
                      flexibility, but also bears a potential for complexity and
                      fragility, has never been easy.In this contribution, we want
                      to give a case-study-like overview of the lifetime of this
                      research software so far, reflect on the design and
                      development decisions we have made over the years and their
                      advantages or shortcomings, share lessons learned, and give
                      an outlook into the future of the software ecosystem.},
      month         = {Feb},
      date          = {2025-02-25},
      organization  = {deRSE 2025, Karlsruhe (Germany), 25
                       Feb 2025 - 27 Feb 2025},
      subtyp        = {After Call},
      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)24},
      doi          = {10.34734/FZJ-2025-01847},
      url          = {https://juser.fz-juelich.de/record/1040339},
}