OVERVIEW: The environment provides many challenges around data management - both in terms of data size, data diversity and data distribution. The “ENVRI Radiative Forcing Integration” science demonstrator focuses on the integration of data/services between the “edges” of Environmental Research Infrastructures:
SCIENTIFIC OBJECTIVES OF THE DEMONSTRATOR:
Focus on dynamics of greenhouse gases, aerosols and clouds and their role in radiative forcing,
Interoperability between observations and climate modeling,
Cooperation between environmental research infrastructures
Improvement of data integration services based on metadata ontologies,
Model-data integration by use of HPC,
Petascale data movement,
Innovative services to compile and compare model output from different sources, especially on semi-automatic spatiotemporal scale conversion
Findability: Metadata ontologies matching between NETCDF-CF and in-situ metadata, data quality indicators.
Accessibility: Automated access routines between the RI repositories. For fully open data, this is not immediately problematic, but might require analysis on needed resources and APIs.
Interoperability: APIs, service integration, large data transfers, where to do processing (how to document?)
Reusability: Citing and persistently identifying scale-changed data-sets? How to transfer knowledge of data versions used.
MATURITY: All participating RIs have existing data systems, and their “act together”
INTERDICIPLINARITY: The case provides direct interdisciplinary activity (even though inside the environmental domain)
SYNERGY: This action directly uses the connections and needs of the existing RI actions within the cluster project ENVRIplus
ENGAGING COMMUNITY: The case is actually useful for the scientist (and RIs) in the field! It is not just a demonstrator!