Case study: The Potential for Significant Savings thanks to FAIR Data in one Materials Science PhD Project

The FAIR (Findable, Accessible, Interoperable, and Reusable) data principles have gained significant attention as a means to enhance data sharing, collaboration, and reuse across various domains. This work explores the potential benefits of implementing FAIR data practices within engineering projects, specifically focusing on the German context. By examining the FAIR-data aspect of a PhD project, it becomes evident that substantial cost savings can be achieved. This study underscores the importance of implementing FAIR data practices in engineering projects and highlights some significant economic benefits that can be derived from such initiatives. By embracing FAIR principles, organizations in the engineering sector can unlock the full potential of their data, optimize resource allocation, and drive innovation in a cost-effective manner. About This Upload The tree-structured vocabulary developed for this publication and thefull-resolution images are uploaded below.