% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Wagner:1019161,
      author       = {Wagner, Adina Svenja},
      title        = {{M}anage your data with {D}ata{L}ad: {F}rom local version
                      control to data publication},
      reportid     = {FZJ-2023-05207},
      year         = {2023},
      abstract     = {Workshop slides for a 2-hour DataLad workshop in Frankfurt
                      at the CuttingGardens conference 2023.
                      $https://cuttinggardens2023.org/gardens/frankfurt/#LT_AW$
                      Workshop abstract: Manage your Data with DataLad: From local
                      version control to data publication Many open source
                      software tools assist with the complex task of data
                      management. This workshop introduces one of them, the data
                      management and data publication tool DataLad
                      (https://www.datalad.org). If you have always wanted to get
                      going with version control, are curious to find out how to
                      use DataLad, or want to see simple workflows for data
                      management routines, this workshop is for you. You will
                      learn about core concepts of research data management and
                      how to implement them – from local version control for all
                      parts of your research to data publication. With a focus on
                      technical and conceptual aspects alike, the workshop aims to
                      equip you with skills you could transfer to real-world data,
                      with a mix of theoretical input and interactive hands-on
                      applications.   The workshop will provide a cloud-computing
                      environment for interactive participation, but participants
                      should bring their own computers in order to access it.},
      month         = {Oct},
      date          = {2023-10-16},
      organization  = {Cutting Gardens Frankfurt, Frankfurt
                       am Main (Germany), 16 Oct 2023 - 19 Oct
                       2023},
      subtyp        = {Invited},
      keywords     = {datalad (Other) / git (Other) / data management (Other) /
                      data publication (Other) / FAIR (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.8431163},
      url          = {https://juser.fz-juelich.de/record/1019161},
}