The Challenge
Making NanoEHS Data Reusable for Modelling
NanoEHS datasets are often difficult to reuse because they are distributed across projects, described with inconsistent metadata, and not structured for direct computational modelling.
NovaMechanics built NanoPharos to serve as a FAIR-native resource that combines curated metadata, persistent identifiers, and programmatic access for modelling-ready scientific reuse.
How We Built the Platform
A FAIR-native repository design process for modelling-ready nanomaterials data
Define the metadata model
Structured bibliographic, scientific, and provenance metadata to support meaningful machine-readable records.
Create persistent identifiers
Implemented identifier strategies and linked references that improve findability, traceability, and long-term citation.
Support programmatic reuse
Enabled access patterns that make NanoPharos usable in downstream analytical and modelling workflows.
Position the platform for interoperability
Designed the registry so it can connect with FAIR ecosystems, repositories, and scientific decision-support pipelines.
Results at a Glance
How NovaMechanics Applies This Work
Scientific Repositories & Platforms
NovaMechanics builds domain-specific repositories and cloud-native systems for structured research data reuse.
Explore FAIR infrastructureScientific Databases
Browse the broader Pharos ecosystem and related domain repositories for chemistry, personalised medicine, and nanomaterials.
Explore databasesNanoPharos demonstrates how NovaMechanics turns fragmented scientific evidence into a FAIR-native, modelling-ready repository that supports machine-readable reuse and long-term value creation.