% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Mozaffari:890147,
      author       = {Mozaffari, Amirpasha and Schröder, Sabine and Apweiler,
                      Sander and Saini, Rajveer and Hagemeier, Björn and Schultz,
                      Martin G.},
      title        = {{FAIR}ness in the multi-service data infrastructure of the
                      {T}ropospheric {O}zone {A}ssessment {R}eport ({TOAR}) and
                      {A}rtificial {I}ntelligence for {A}ir {Q}uality
                      ({I}ntelli{AQ}) project},
      reportid     = {FZJ-2021-00736},
      year         = {2020},
      abstract     = {IntelliAQ is a European project aiming to develop novel
                      approaches for the analysis and synthesis of global air
                      quality data based on deep neural networks. A core element
                      of the project’s strategy is the linkage of several
                      different types of data, including time-series of air
                      quality observations, high-resolution geospatial data,
                      high-resolution weather model data, and satellite retrievals
                      of air pollutants. To achieve this linkage, IntelliAQ builds
                      upon and expands the data infrastructure of the Tropospheric
                      Ozone Assessment Report (TOAR), which has collected
                      multi-year time-series of ground-level ozone observations
                      from over 30 providers at more than 10,000 sites around the
                      world. Based on experiences in TOAR, phase 1, we have
                      re-designed the database, designed new web services for
                      access to the geospatial data, created a new workflow for
                      data submissions, which includes a semi-automatic data
                      publication, and developed tools for efficient parallel
                      processing of large volumes of meteorological data. All data
                      services are being developed with FAIR principles in mind
                      from the start, and together, they will form the central
                      data portal to support the second phase of TOAR, which just
                      started in December 2019. All major elements of the
                      IntelliAQ/TOAR data infrastructure offer REST APIs with (to
                      the extent possible) uniform query syntax. Where possible,
                      we provide free, open, and unrestricted access to TOAR data
                      under the CC-BY 4 license. TOAR data publications include a
                      doi and are offered for individual data submissions and as a
                      central repository for datasets that are analyzed in
                      TOAR-related publications. We have started the process to
                      have the TOAR data centre certified under the Core Trust
                      Seal regulations. IntelliAQ and TOAR aim to produce datasets
                      that can be reused for several decades. Besides its main
                      role as a community data repository, the TOAR data centre
                      acts as a platform to test novel, high-performance workflows
                      for heterogeneous data sets, primarily in the context of
                      machine learning applications.},
      month         = {Feb},
      date          = {2020-02-25},
      organization  = {RDA Deutschland Tagung 2020, Berlin
                       (Germany), 25 Feb 2020 - 27 Feb 2020},
      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)1},
      url          = {https://juser.fz-juelich.de/record/890147},
}