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@ARTICLE{Wiegand:303098,
      author       = {F. Wiegand and D. Lähnemann$^*$ and F. Mölder and H.
                      Uzuner and A. Prinz and A. Schramm and J. Köster},
      title        = {{D}atavzrd: {R}apid programming- and maintenance-free
                      interactive visualization and communication of tabular
                      data.},
      journal      = {PLOS ONE},
      volume       = {20},
      number       = {7},
      issn         = {1932-6203},
      address      = {San Francisco, California, US},
      publisher    = {PLOS},
      reportid     = {DKFZ-2025-01523},
      pages        = {e0323079 -},
      year         = {2025},
      abstract     = {Tabular data, often scattered across multiple tables, is
                      the primary output of data analyses in virtually all
                      scientific fields. Exchange and communication of tabular
                      data is therefore a central challenge. We present Datavzrd,
                      a tool for creating portable, visually rich, interactive
                      reports from tabular data in any kind of scientific
                      discipline. Datavzrd unifies the strengths of currently
                      common generic approaches for interactive visualization like
                      R Shiny with the portability, ease of use and sustainability
                      of plain spreadsheets. The generated reports do not require
                      the maintenance of a web server nor the installation of
                      specialized software for viewing and can simply be attached
                      to emails, shared via cloud services, or serve as manuscript
                      supplements. They can be specified without requiring
                      imperative programming, thereby enabling rapid development
                      and offering accessibility for non-computational scientists,
                      unlocking the look and feel of dedicated manually crafted
                      web applications without the maintenance and development
                      burden. Datavzrd reports scale from small tables to
                      thousands or millions of rows and offer the ability to link
                      multiple related tables, allowing to jump between
                      corresponding rows or hierarchically explore growing levels
                      of detail.},
      keywords     = {Software / Internet / Humans / Data Visualization /
                      Communication},
      cin          = {ED01},
      ddc          = {610},
      cid          = {I:(DE-He78)ED01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40694543},
      doi          = {10.1371/journal.pone.0323079},
      url          = {https://inrepo02.dkfz.de/record/303098},
}