Published August 1, 2024 | Version v1
Poster Open

STAMPLATE - A modern digital ecosystem for sensor and time-series data from environmental sciences

  • 1. ROR icon Karlsruhe Institute of Technology
  • 2. ROR icon Helmholtz-Zentrum Hereon
  • 3. ROR icon Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences
  • 4. ROR icon Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
  • 5. ROR icon GEOMAR Helmholtz Centre for Ocean Research Kiel
  • 6. ROR icon Helmholtz Centre for Environmental Research
  • 7. ROR icon Forschungszentrum Jülich
  • 8. ROR icon Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
  • 9. ROR icon Open Geospatial Consortium

Description

Time-series data are crucial sources of reference information in all environmental sciences. And beyond typical research applications, the consistent and timely publication of such data is increasingly important for monitoring and issuing warnings, especially in times of growing frequencies of climatic extreme events. In this context, the seven Centres from the Helmholtz Research Field Earth and Environment (E&E) operate some of the largest environmental measurement-infrastructures worldwide. These infrastructures range from terrestrial observation systems in the TERENO observatories and ship-borne sensors to airborne and space-based systems, such as those integrated into the IAGOS infrastructures.

In order to streamline and standardize the usage of the huge amount of data from these infrastructures, the seven Centres have jointly initiated the STAMPLATE project. This initiantive aims to adopt the Open Geospatial Consortium (OGC) SensorThings API (STA) as a consistent and modern interface tailored for time-series data. We evaluate STA for representative use-cases from environmental sciences and enhance the core data model with additional crucial metadata such as data quality, data provenance and extended sensor metadata. After centre-wide implementation, the standardized STA interface also serves community-based tools, e.g., for data visualization, data access, quality assurance/quality control (QA/QC), or the management of monitoring systems. By connecting the different STA endpoints of the participating research Centres, we establish an interlinked research data infrastructure (RDI) and a digital ecosystem around the OGC SensorThings API tailored towards environmental time-series data.

The published poster was presented during the Summer Meeting 2024 of the Helmholtz Metadata Collaboration at GEOMAR in Kiel. 

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Additional details

Related works

Continues
Presentation: 10.5194/egusphere-egu24-20127 (DOI)
Is part of
Poster: 10.5281/zenodo.10964088 (DOI)
Poster: 10.5281/zenodo.10959746 (DOI)
References
Software: 10.5281/zenodo.5888547 (DOI)
Software: 10.5281/zenodo.8354839 (DOI)