Data Infrastructure and Workflows

Team Goals:

  • Provide freely accessible, harmonized and quality controlled data of ground-level air pollutants and meteorological quantities, fully compliant with findable, accessible, interoperable, reusable (FAIR) scientific practices
  • Establish standardised analysis methods and machine learning workflows for air quality assessments as a service
  • Contribute to the Tropospheric Ozone Assessment Report (TOAR)
  • Develop automated, scalable large data workflows up to exascale to enable large-scale machine learning applications

Projects

Members

News from DSI

TOAR data user training workshop

The new version of the TOAR database features a new web interface (REST API) and offers new ways to analyze the metadata and data of one of the largest collections of ozone-related air quality data in the world.

TOAR Database Infrastructure Certified by CoreTrustSeal

The Tropospheric Ozone Assessment Report (TOAR) Database Infrastructure developed and operated at JSC has been certified as a Trustworthy Data Repository by the CoreTrustSeal Standards and Certification Board. The certificate is valid for three years.

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Last Modified: 11.12.2023