FAIR Digital Objects for Seamless Research Data Management for Researchers and Higher Education Institutions

Abstract

Seamless Research Data Management for Researchers aims to cover a complete scientific workflow from planning a research project to registration and publication of results in repositories by connecting existing components, services, and tools using FDOs. This approach combines widely used components, so large data volumes can increasingly be FAIRified automatically. Machine-actionable Data Management Plans (maDMP) that comprehensively document the respective research project in a machine-actionable format form the entry point. The familiar Galaxy environment, which already enables RO-Crate implementation, forms the backbone to incorporate a growing number of services and tools. Galaxy orchestrates and executes the workflow components resulting from maDMPs and data analysis. The research results and comprehensive documentation become published in a repository of the researchers' choice (e.g., Zenodo). From there, the research results can be integrated into a knowledge graph (e.g., ORKG).