The AquaINFRA research data infrastructure - Knowledge generation through FAIR open data and reproducible computational workflows

Key Points

• To enhance knowledge generation through the development of a FAIR (Findable, Accessible, Interoperable, Reusable) data infrastructure in the AquaINFRA project.
• Developed open data frameworks and standards promoting data sharing.
• Implemented reproducible computational workflows to support data analysis.
• Conducted preliminary assessments to gauge the effectiveness of the infrastructure.
• Demonstrated initial success in making data more accessible and reusable.
• Reported improvements in collaboration among environmental scientists through shared data.
• Highlighted the need for continued development of computational tools to support these efforts.