Platforms
The Scientific Data Layer (SDL) enables rich documentation, cataloging, and provenance tracking of scientific data generated by experimental platforms. Each platform is modeled using ontologies such as SSN/SOSA, DCAT, and PROV-O, supporting FAIR principles (Findable, Accessible, Interoperable, Reusable).
What is a Platform?
A platform in SDL represents an organized set of systems, instruments, and procedures used to generate scientific data. Each platform is:
- Described using semantic models aligned with W3C standards.
- Connected to datasets and observations through SSN-compliant deployments.
- Documented in a Linked Data Platform (LDP) for integration, querying, and discovery.
Why Platforms Matter
By documenting platforms in a semantically rich way, SDL:
- Makes data and metadata FAIR from the start.
- Captures experimental context and instrument configurations.
- Enables reproducibility through machine-readable provenance.
Available Platforms
Each platform includes:
*A semantic definition of systems and sensors. *Descriptions of workflows and data products. *Integration with DCAT catalogs and PROV traces.