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@ARTICLE{Devaraju:281641,
      author       = {Devaraju, Anusuriya and Jirka, Simon and Kunkel, Ralf and
                      Sorg, Jürgen},
      title        = {{Q}-{SOS}—{A} {S}ensor {O}bservation {S}ervice for
                      {A}ccessing {Q}uality {D}escriptions of {E}nvironmental
                      {D}ata},
      journal      = {ISPRS International Journal of Geo-Information},
      volume       = {4},
      number       = {3},
      issn         = {2220-9964},
      address      = {Basel},
      publisher    = {MDPI},
      reportid     = {FZJ-2016-01329},
      pages        = {1346 - 1365},
      year         = {2015},
      abstract     = {The worldwide Sensor Web comprises observation data from
                      diverse sources. Each data provider may process and assess
                      datasets differently before making them available online.
                      This information is often invisible to end users. Therefore,
                      publishing observation data with quality descriptions is
                      vital as it helps users to assess the suitability of data
                      for their applications. It is also important to capture
                      contextual information concerning data quality such as
                      provenance to trace back incorrect data to its origins. In
                      the Open Geospatial Consortium (OGC)’s Sensor Web
                      Enablement (SWE) framework, there is no sufficiently and
                      practically applicable approach how these aspects can be
                      systematically represented and made accessible. This paper
                      presents Q-SOS—an extension of the OGC’s Sensor
                      Observation Service (SOS) that supports retrieval of
                      observation data together with quality descriptions. These
                      descriptions are represented in an observation data model
                      covering various aspects of data quality assessment. The
                      service and the data model have been developed based on open
                      standards and open source tools, and are productively being
                      used to share observation data from the TERENO observatory
                      infrastructure. We discuss the advantages of deploying the
                      presented solutions from data provider and consumer
                      viewpoints. Enhancements applied to the related open-source
                      developments are also introduced.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000364411500017},
      doi          = {10.3390/ijgi4031346},
      url          = {https://juser.fz-juelich.de/record/281641},
}