Press [ esc ] or close+

EOSCpilot Science Demonstrator: eWaterCycle & SWITCH-ON - FAIR data for hydrology

SCIENTIFIC OBJECTIVES

Central to the science of hydrology is the localised nature of the medium through which water flows. This science demonstrator seeks to create a fully FAIR Hydrological forecasting system, combining local and global models.

  • FAIR Output Forecast dataset
  • Fair Software for Hydrological Modelling
  • Fair Workflows for Hydrological modelling on EOSC
  • Community and Outreach

FAIR DATA CHALLENGES

  • create FAIR versions of data required for running the hydrological models
  • FAIR software (source code and ready-to-run software)

MAIN ACHIEVEMENTS

  • We have worked on the FAIR data part of the project by making an overview of the FAIR-ness of each dataset we use and produce.
  • Making 3rd party data FAIR is proving to be a challenge, as most of the time it is simply not up to us to distribute and/or publish data, and a lot of metadata is missing that we need the actual data author for to create and/or find. Also, determining if a dataset is FAIR, and how much, is currently something for “FAIR experts”.
  • We worked making containerised versions of tools, libraries and execution environment to support 3 hydrological models, as well as tools for pre- and post-processing and data assimilation
  • All this software has been provided on GitHub repository
  • Not being enough to have all tools and models available, we also enabled a reproducible way of stringing these together, we used the Common workflow Language (CWL).
  • Data sharing solution between two models established to OneData a storage provider.
  • Reach out to the Hydrological community at key international events and workshops, like FAIR science EGU and OpenHydro meeting.

IMPACT

  • facilitate model comparison studies, the coupling of models and integration with different model components into larger community models
  • benefits for the water community when it comes to run coupled models to do operational predictions

RECOMMENDATIONS FOR THE IMPLEMENTATION

Provide a number of basic services (such as Authentication, Dataset storage, workflow execution, dataset publication (DOIs) applicable for all of science.

Learn more of this Science Demonstrator on the EOSCpilot website.


The EOSC portal has been jointly developed and maintained by the eInfraCentral, EOSC-hub, EOSCpilot and OpenAIRE-Advance projects funded by the European Union’s Horizon 2020 research and innovation programme with contribution of the European Commission.