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@ARTICLE{Pallast:859032,
      author       = {Pallast, N. and Wieters, F. and Nill, M. and Fink, G. R.
                      and Aswendt, M.},
      title        = {{C}loud-based relational database for multimodal animal
                      data},
      journal      = {Database},
      volume       = {2018},
      issn         = {1758-0463},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {FZJ-2019-00002},
      pages        = {bay124},
      year         = {2018},
      abstract     = {Pre-clinical research builds on a large variety of in vivo
                      and ex vivo tools such as non-invasive imaging, microscopy,
                      and analysis of gene expression. To work efficiently with
                      multimodal data and correlate results across scales, it is
                      of particular importance to have easy access to all data
                      points from different specimen, e.g. the magnetic resonance
                      imaging (MRI) data from different time points, and the
                      post-mortem histology. That requires an efficient data
                      management, which is customizable and designed to relate all
                      applied methods, raw data and analyses to one specific
                      animal. Despite increasing demands to handle such complex
                      data, most pre-clinical labs have not yet established such
                      an electronic database. Here, we present a novel cloud-based
                      relational database for multimodal animal data, which
                      operates on commercial software. We have implemented data
                      fields for various pre-clinical features such as MRI,
                      histology and behaviour. Automated procedures replace manual
                      and recurrent calculations. Pre-set plotting and printing
                      features provide efficient analysis and documentation. The
                      database template is useful for all labs working with
                      laboratory animals and the adaption to specific research
                      projects requires no prior scripting expertise. The database
                      works operating-system independent through the web browser
                      and allows multiple users to work simultaneously. The data
                      entry is monitored and restricted for particular tests
                      according to the user management in order to keep for
                      example users during the experiment blinded for the
                      experimental group. The database improves data
                      accessibility, standardization of data recording and data
                      handling efficiency in pre-clinical research.},
      cin          = {INM-3},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30576483},
      UT           = {WOS:000453806800003},
      doi          = {10.1093/database/bay124},
      url          = {https://juser.fz-juelich.de/record/859032},
}