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@ARTICLE{Schrder:907954,
      author       = {Schröder, Sabine and Epp, Eleonora and Mozaffari,
                      Amirpasha and Romberg, Mathilde and Selke, Niklas and
                      Schultz, Martin G.},
      title        = {{E}nabling {C}anonical {A}nalysis {W}orkflows:{D}ocumented
                      {D}ata {H}armonization on {G}lobal {A}ir {Q}uality {D}ata},
      journal      = {Data Intelligence},
      volume       = {4},
      number       = {2},
      issn         = {2096-7004},
      address      = {Cambridge, MA},
      publisher    = {MIT Press},
      reportid     = {FZJ-2022-02296},
      pages        = {259 - 270},
      year         = {2022},
      abstract     = {Data harmonization and documentation of the data processing
                      are essential prerequisites for enabling Canonical Analysis
                      Workflows. The recently revised Terabyte-scale air quality
                      database system, which the Tropospheric Ozone Assessment
                      Report (TOAR) created, contains one of the world's largest
                      collections of near-surface air quality measurements and
                      considers FAIR data principles as an integral part. A
                      special feature of our data service is the on-demand
                      processing and product generation of several air quality
                      metrics directly from the underlying database. In this
                      paper, we show that the necessary data harmonization for
                      establishing such online analysis services goes much deeper
                      than the obvious issues of common data formats, variable
                      names, and measurement units, and we explore how the
                      generation of FAIR Digital Objects (FDO) in combination with
                      automatically generated documentation may support Canonical
                      Analysis Workflows for air quality and related data.},
      cin          = {JSC},
      ddc          = {020},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / IntelliAQ -
                      Artificial Intelligence for Air Quality (787576) / Earth
                      System Data Exploration (ESDE)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)787576 /
                      G:(DE-Juel-1)ESDE},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000850893200009},
      doi          = {10.1162/dint_a_00130},
      url          = {https://juser.fz-juelich.de/record/907954},
}