Conveners
Unlocking the Potential of Environmental Data
- Magdalena Brus (EGI Foundation)
Description
The ever-growing volume of environmental data presents both exciting possibilities and significant challenges. This session delves into the critical role of advanced data analysis tools, robust infrastructure solutions, and collaborative practices based on FAIR data principles in unlocking its full potential for tackling global environmental challenges.
Through a series of engaging presentations, we'll explore advanced data analysis tools, scalable data infrastructure, best practices in data interoperability best on the FAIR principles, the value of data publication and usage metrics to enhance research impact and ensure responsible data sharing practices, with practical case studies, highlighting the power of advanced tools and collaborative data access in tackling critical environmental challenges.
The escalating volume and complexity of Earth and environmental data necessitate an effective, interdisciplinary partnership among scientists and data providers. Achieving this requires the utilization of research infrastructures that offer sophisticated e-services. These services enhance data integration and interoperability, enable seamless machine-to-machine data exchanges, and leverage...
The Global Fish Tracking System (GFTS) is a use case from the European Space Agency's DestinE Platform. It leverages the Pangeo software stack to enhance our understanding of fish habitats, and in particular Seabass and Pollack. By addressing a data gap highlighted by the International Council for the Exploration of the Sea (ICES), the project combines various data sources, including data from...
The increase in the volume of Earth Observation (EO) data in the past decade has led to the emergence of cloud-based services in recent years. Copernicus data and services have provided several EO and Earth Modeling data to European Citizens. Data acquired from Sentinel satellites is made available to the end users through the [Copernicus Data Space Ecosystem][1], providing free access to...
In the climate domain, the Coupled Model Intercomparison Project (CMIP) represents a collaborative framework designed to improve knowledge of climate change with the important goal of collecting output from global coupled models and making them publically available in a standardized format. CMIP has led to the development of the Earth System Grid Federation (ESGF), one of the largest-ever...
