The Challenge
Scaling FAIRification Beyond a Single Dataset
Scientific projects often produce valuable datasets, but those assets remain difficult to discover and reuse when metadata models, schemas, and repository structures are inconsistent across initiatives.
NovaMechanics addressed this by extending nanoPharos into a scalable FAIR-ready repository framework that could support multiple project instances, richer metadata, and improved machine-actionable reuse.
How We Scaled FAIRification
A reusable repository approach for growing scientific data assets across projects
Adapt the repository schema
Extended the data model to support nanomaterials-specific records and project-level FAIRification requirements.
Enrich metadata and provenance
Integrated richer contextual, bibliographic, and scientific information to support both human interpretation and machine reuse.
Deploy project-specific instances
Applied the repository framework across multiple collaborative research initiatives while preserving structural consistency.
Expose records for broader reuse
Improved discoverability through machine-actionable outputs, repository connections, and reusable FAIR-oriented publication pathways.
Results at a Glance
How NovaMechanics Applies This Work
FAIR Data Architecture
Use NovaMechanics to design metadata models, provenance structures, and identifier strategies for reusable scientific repositories.
Explore FAIR architecturePharos Resource Ecosystem
See how domain repositories can remain connected while still serving different scientific communities and project needs.
Explore the Pharos ecosystemThis case study shows how NovaMechanics moves beyond one-off FAIRification and builds reusable repository frameworks that can scale across projects, domains, and future analytical workflows.