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@INPROCEEDINGS{Sprenger:873986,
      author       = {Sprenger, Julia},
      title        = {{C}hallenges and opportunities in scientific software
                      development - {A}n example from the neurosciences},
      school       = {RWTH Aachen},
      reportid     = {FZJ-2020-01148},
      year         = {2020},
      abstract     = {The approaches used in software development in an industry
                      setting and a scientific environment are exhibit a number of
                      fundamental differences. In the former industry setting
                      modern team development tools and methods are used (version
                      control, continuous integration, Scrum, ...) to develop
                      software in teams with a focus on the final software
                      product. In contrast, in the latter scientific environment a
                      large fraction of scientific code is produced by individual
                      scientists lacking thorough training in software development
                      with a specific research goal in mind. Indeed, it is only in
                      the last decades that scientific software development
                      started to become a fully recognized part of scientific
                      work. Still, formal training in software development is
                      largely missing in the scientific curricula of many
                      universities. Additionally, due to the exploratory nature of
                      the scientific method at the frontier of knowledge, most
                      projects require the implementation of custom code. The
                      combination of these circumstances promotes the development
                      of scientific code not suited for sharing and long term
                      maintenance, limiting the reusability and reproducibility of
                      scientific data and findings. The systematic development and
                      adoption of open source packages by the scientific community
                      can emend this situation. Here we present examplary open
                      source packages from the field of neuroscience and discuss
                      the special requirements for open source software
                      development and services in this research area.},
      month         = {Feb},
      date          = {2020-02-01},
      organization  = {20th Free and Open source Software
                       Developers' European Meeting, Brussels
                       (Belgium), 1 Feb 2020 - 1 Feb 2020},
      subtyp        = {After Call},
      cin          = {INM-10 / INM-6 / IAS-6},
      cid          = {I:(DE-Juel1)INM-10-20170113 / I:(DE-Juel1)INM-6-20090406 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/873986},
}