Towards FAIR Data Workflows for Multidisciplinary Science: Ongoing Endeavors and Future Perspectives in Plasma Technology

Robert Wagner, Dagmar Waltemath, Kristina Yordanova, Markus M. Becker

Abstract: This paper focuses on the ongoing process of establishing a FAIR (Findable, Accessible, Interoperable and Reusable) data workflow for multidisciplinary research and development in applied plasma science. The presented workflow aims to support researchers in handling their project data while also fulfilling the requirements of modern digital research data management. The centerpiece of the workflow is a graph database (utilizing Neo4J) that connects structured data and metadata from multiple sources across the involved disciplines. The resulting workflow intents to enhance the FAIR compliance of the data, thereby supporting data integration and automated processing as well as providing new possibilities for user friendly data exploration and reuse.