5:15 PM - 6:45 PM
[MGI27-P04] Galaxy and FAIR-EASE : Understanding Earth system with FAIR data analysis on an open-source platform
Keywords:FAIR data analysis, Galaxy platform, Training , Cross-domain workflows, Open science, Environmental data
The Earth system is a complex and dynamic system due to the interactions between the atmosphere, ocean, land and biosphere. Understanding and cross-referencing data is essential, for example to predict and mitigate the impacts of climate change.
The FAIR-EASE project, funded by the European Commission, aims to build a cross-domain digital architecture for the integrated and collaborative use of environmental data. The main objective of the project is to enable communication, integration and processing of data from multidisciplinary domains represented by five different pilots which combine data conservation, modeling, calculation of indicators, monitoring, and omics data analysis.
- Coastal water dynamics
- Land degradation
- Biogeochemical assessments of oceans
- Volcanic activities
- Marine omics
These pilots provide a comprehensive assessment of the Earth system
Facilitating good practices and recommendations is a key issue for FAIR-EASE. These are effectively and widely applied when they are enabled by an operational solution. In the Galaxy ecosystem, any available tool can be easy to use and sharing a complete, detailed and (re-)executable analytical procedure is facilitated as provenance is tracked, metadata is automatically enriched, and a Galaxy history or workflow can be made accessible to anyone. If extra effort is required when an analytical step is missing and needs to be developed, researchers in a hurry can rely on the highly efficient Galaxy community.
Galaxy is an open source platform driven and maintained by its community. It can be used as an IT toolbox to visualize, analyze, process, and share research data. Galaxy's proposition with these 10,000 available tools is exceptional. Galaxy supports inclusion of tools in almost any computational language, such as R and Python.
It encourages users to standardize the tools that serve as atomic building blocks when designing workflows. Galaxy is ready to use and has proven its efficiency and suitability in other research fields like genomics and climate. From a user's point of view, it offers extensive computing power, and a graphical interface to use analysis workflows without any experience in software development.
Galaxy, is a main component of the FAIR-EASE digital architecture proposal and a solution supported by the future European cloud for open science.
Fully integrated, the Galaxy Training Network significantly contributes to improving the accessibility and reusability of tools and workflows. The Galaxy Training platform hosts a huge collection of tutorials. These tutorials are valuable resources for people who want to learn how to navigate Galaxy, use specific features like interactive tools, or how to run workflows for specific tasks. By mixing training and tools in the same user-friendly webapp, Galaxy is a perfectly suited tool for open science environments.
Mainly dedicated to the discovery of the Galaxy platform, the Galaxy Training Network and the Toolshed, this presentation will be illustrated by the use of the platform through the FAIR-EASE use cases and will focus on the level of FAIRness achievable thanks to the platform. The presentation will be rounded off with an overview of the FAIR-EASE project and the European Open Science Cloud strategy.
The FAIR-EASE project, funded by the European Commission, aims to build a cross-domain digital architecture for the integrated and collaborative use of environmental data. The main objective of the project is to enable communication, integration and processing of data from multidisciplinary domains represented by five different pilots which combine data conservation, modeling, calculation of indicators, monitoring, and omics data analysis.
- Coastal water dynamics
- Land degradation
- Biogeochemical assessments of oceans
- Volcanic activities
- Marine omics
These pilots provide a comprehensive assessment of the Earth system
Facilitating good practices and recommendations is a key issue for FAIR-EASE. These are effectively and widely applied when they are enabled by an operational solution. In the Galaxy ecosystem, any available tool can be easy to use and sharing a complete, detailed and (re-)executable analytical procedure is facilitated as provenance is tracked, metadata is automatically enriched, and a Galaxy history or workflow can be made accessible to anyone. If extra effort is required when an analytical step is missing and needs to be developed, researchers in a hurry can rely on the highly efficient Galaxy community.
Galaxy is an open source platform driven and maintained by its community. It can be used as an IT toolbox to visualize, analyze, process, and share research data. Galaxy's proposition with these 10,000 available tools is exceptional. Galaxy supports inclusion of tools in almost any computational language, such as R and Python.
It encourages users to standardize the tools that serve as atomic building blocks when designing workflows. Galaxy is ready to use and has proven its efficiency and suitability in other research fields like genomics and climate. From a user's point of view, it offers extensive computing power, and a graphical interface to use analysis workflows without any experience in software development.
Galaxy, is a main component of the FAIR-EASE digital architecture proposal and a solution supported by the future European cloud for open science.
Fully integrated, the Galaxy Training Network significantly contributes to improving the accessibility and reusability of tools and workflows. The Galaxy Training platform hosts a huge collection of tutorials. These tutorials are valuable resources for people who want to learn how to navigate Galaxy, use specific features like interactive tools, or how to run workflows for specific tasks. By mixing training and tools in the same user-friendly webapp, Galaxy is a perfectly suited tool for open science environments.
Mainly dedicated to the discovery of the Galaxy platform, the Galaxy Training Network and the Toolshed, this presentation will be illustrated by the use of the platform through the FAIR-EASE use cases and will focus on the level of FAIRness achievable thanks to the platform. The presentation will be rounded off with an overview of the FAIR-EASE project and the European Open Science Cloud strategy.