Cyber Training for FAIR Science

Creating a cyber training curriculum driven by the need to acquire expertise in data access, geo-processing, time series analysis, computational simulation, visualization and publication.

The objective is to teach students how to conduct data analyses and modeling experiments to produce Findable, Accessible, Interoperable and Reusable (FAIR) science in hydrological, weather and climate studies.

FAIR Science


  • FAIR

    FAIR Cyber Training (FACT) Fellowship for Climate and Water

    Solving the grand challenges posed by improving food and water security, in the face of growing population pressure, natural disasters, and climate change, requires expert knowledge of science and engineering fundamentals as well as advanced data analytics and computational methods.


  • EAPS DataMine FAIR (Findable, Accessible Interoperable and Reusable) Climate Data Course

    EAPS DataMine FAIR Climate Data Course

    This online resource contains materials for teaching an intro level undergraduate course on the FAIR science principles and applications within the field of climate and water science.

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    Cyber Training workshop

    There will be an upcoming virtual FAIR Cyber Training workshop on June 1-2. Details and registration link are here.