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@ARTICLE{Kaffashzadeh:864070,
      author       = {Kaffashzadeh, Najmeh and Kleinert, Felix and Schultz,
                      Martin},
      title        = {{A} {N}ew {T}ool for {A}utomated {Q}uality {C}ontrol of
                      {E}nvironmental {D}ata in {O}pen {W}eb {S}ervices},
      reportid     = {FZJ-2019-03979},
      year         = {2019},
      abstract     = {We report on the development of a new software tool
                      (auto-qc) for automated quality control (QC) of
                      environmental timeseries data. Novel features of this tool
                      include a flexible Python software architecture, which makes
                      it easy for users to configure the sequence of tests as well
                      as their statistical parameters, and a statistical concept
                      to assign each value a probability of being a correct value.
                      There are many occasions when it is necessary to inspect the
                      quality of environmental datasets, from first quality checks
                      during real-time sampling and data transmission to assessing
                      the quality of long-term monitoring data from measurement
                      stations. Erroneous data can have a substantial impact on
                      the statistical data analysis and, for example, lead to
                      wrong estimates of trends. Existing QC workflows largely
                      rely on individual investigator knowledge and have often
                      been constructed from practical considerations alone. Our
                      tool aims to complement traditional data quality analyses
                      and adds some insights into the nature of the individual
                      tests that are being applied.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {512 - Data-Intensive Science and Federated Computing
                      (POF3-512) / IntelliAQ - Artificial Intelligence for Air
                      Quality (787576) / Earth System Data Exploration (ESDE)},
      pid          = {G:(DE-HGF)POF3-512 / G:(EU-Grant)787576 /
                      G:(DE-Juel-1)ESDE},
      typ          = {PUB:(DE-HGF)25},
      url          = {https://juser.fz-juelich.de/record/864070},
}