Boosting Scientific Reusability: A Concept for a FAIR Scientific Workflow Infrastructure

FAIR research is becoming increasingly important, but developing and publishing FAIR computational workflows can be challenging. A Scientific Workflow Infrastructure (SciWIn) will support scientists during data exploration and analysis with version control, the recording of workflows and provenance tracking. Specific tooling will help to formally specify annotated workflows, making them executable on different workflow engines. SciWIn will also facilitate collaboration and let researchers share, re-use, combine and extend workflows and associated data and code. The state-of-art annotation with metadata and encapsulation in FAIR Digital Objects (FDOs) will foster the FAIR publication of high-quality scientific work and help to further establish Open Science practices.