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@ARTICLE{Kalantari:1008221,
      author       = {Kalantari, Aref and Szczepanik, Michał and Heunis, Stephan
                      and Mönch, Christian and Hanke, Michael and Wachtler,
                      Thomas and Aswendt, Markus},
      title        = {{H}ow to establish and maintain a multimodal animal
                      research dataset using {D}ata{L}ad},
      journal      = {Scientific data},
      volume       = {10},
      number       = {1},
      issn         = {2052-4436},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {FZJ-2023-02261},
      pages        = {357},
      year         = {2023},
      abstract     = {Sharing of data, processing tools, and workflows require
                      open data hosting services and management tools. Despite
                      FAIR guidelines and the increasing demand from funding
                      agencies and publishers, only a few animal studies share all
                      experimental data and processing tools. We present a
                      step-by-step protocol to perform version control and remote
                      collaboration for large multimodal datasets. A data
                      management plan was introduced to ensure data security in
                      addition to a homogeneous file and folder structure. Changes
                      to the data were automatically tracked using DataLad and all
                      data was shared on the research data platform GIN. This
                      simple and cost-effective workflow facilitates the adoption
                      of FAIR data logistics and processing workflows by making
                      the raw and processed data available and providing the
                      technical infrastructure to independently reproduce the data
                      processing steps. It enables the community to collect
                      heterogeneously acquired and stored datasets not limited to
                      a specific category of data and serves as a technical
                      infrastructure blueprint with rich potential to improve data
                      handling at other sites and extend to other research areas.},
      cin          = {INM-3 / INM-7},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / DFG project 431549029 - SFB 1451:
                      Schlüsselmechanismen normaler und krankheitsbedingt
                      gestörter motorischer Kontrolle (431549029)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(GEPRIS)431549029},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {37277500},
      UT           = {WOS:001000961800001},
      doi          = {10.1038/s41597-023-02242-8},
      url          = {https://juser.fz-juelich.de/record/1008221},
}