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@MISC{Loup:1048617,
      author       = {Loup, Ulrich and Heß, Robin and Kunkel, Ralf and Faber,
                      Claas and Brinckmann, Nils and Hanisch, Marc and Rambhia,
                      Mihir and Lorenz, Christof and Schäfer, David},
      title        = {{A} {L}arge-scale {FAIR} {R}esearch {D}ata {I}nfrastructure
                      for {E}nvironmental {T}ime {S}eries {D}ata},
      publisher    = {Zenodo},
      reportid     = {FZJ-2025-04757},
      year         = {2025},
      abstract     = {In Environmental Sciences, Time-series data is key to, for
                      example, monitoring environmental processes and validating
                      Earth system models. A major issue is the lack of a
                      consistent data availability standard aligned with the FAIR
                      principles, but the Helmholtz Earth and Environment DataHub
                      is working with the Helmholtz Metadata Collaboration project
                      STAMPLATE to address this. The seven participating research
                      centers are building a large-scale infrastructure using the
                      Open Geospatial Consortium's SensorThings API (STA) as the
                      central data interface. It is linked to other
                      community-driven tools, such as sensor and device management
                      systems, data ingestion systems, and the Earth Data Portal
                      (www.earth-data.de) with highly customizable viewers. Our
                      custom, semantic metadata profile augments STA’s core data
                      model with domain-specific information. This ensures that
                      metadata entered in any user self-service is also displayed
                      in the Earth Data Portal along with the ingested data. The
                      operationalization of the framework and its subsequent
                      integration into research data workflows is imminent,
                      thereby rendering long-term, nationwide measurements
                      spanning decades available. Concurrently, our RDM processes
                      are undergoing a transformative shift, moving from manual,
                      person-based to self-organized, digital-supported workflows.
                      This poster presents the fundamental elements of our
                      initiative and the associated challenges. It also encourages
                      new domains to get involved.},
      cin          = {ICE-3},
      cid          = {I:(DE-Juel1)ICE-3-20101013},
      pnm          = {2111 - Air Quality (POF4-211)},
      pid          = {G:(DE-HGF)POF4-2111},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.5281/ZENODO.15167733},
      url          = {https://juser.fz-juelich.de/record/1048617},
}