A better understanding of global environmental challenges is essential to their mitigation. These challenges are multifaceted and require a multidisciplinary approach. Unfortunately, this work is often laborious and time-consuming for researchers, who must navigate through vast datasets that are often scattered and not interoperable.

The open-source collaborative workflow platform Galaxy provides researchers and data scientists with an efficient solution for data analysis. It enables them to easily upload, analyse, visualise and share their works. Galaxy simplifies and eliminates any informatics complexity in data analysing tasks, allowing users to build functional pipelines. By combining tools, data, and guidelines from different environmental science fields on one platform, Galaxy makes research more efficient and helps scientists carry out data analysis in a more integrated and reproducible way.

The FAIR-EASE project is showing how Galaxy - originally designed for bioinformatics and genomics - can also meet the needs of the geosciences community. To achieve this, FAIR-EASE has developed a dedicated Galaxy instance for Earth System Science. This specialised Galaxy server supports interdisciplinary Earth system analyses with tailor-made data access, tools, workflows, visualisation capabilities, and dedicated training.

Galaxy, a tool adaptable to earth sciences

Galaxy is particularly well suited to the needs of researchers in geosciences because it centralises a variety of tools and data in a single, easy-to-use environment.