Introducing FJORD: Orchestrating Research Data Management through Enhanced FAIRness
Abstract
Research data management needs better, integrated approaches. Data Management Plans (DMPs) are key, but fragmented systems limit their FAIR principles potential. This paper introduces FJORD, a framework evolving DMPs to integrate and orchestrate research ecosystems at an institutional level. FJORD enhances DMPs into supplementary tools, leveraging a project proposal platform to manage, monitor, and track intellectual assets via knowledge graphs, aiding researchers across university systems. The framework exports machine-actionable DMPs (maDMPs) compatible with RDA and existing DMP tools. By providing unified metadata management and system interoperability, FJORD improves FAIRness tracking and assessment, streamlines administration, and accelerates scientific discovery, while maintaining data sovereignty. This paper details FJORD's tenets, architecture, and impact on institutional data strategies and governance.
Fields of Study & Subjects
Research Data Management Practices
Optics and Image Analysis
Scientific Computing and Data Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 February 2026
- Language
- EN