DISQOVER Export

Fully harmonized, provenance-rich data in industry-standard formats, ready to integrate into your ecosystem.

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Harmonized, AI-ready

data delivered wherever you need it 

Life sciences teams depend on high-quality, interoperable data to power analytics, modeling, and AI workflows. But raw datasets are often fragmented, inconsistently modeled, and difficult to reuse outside their original systems.

DISQOVER Export solves this by delivering fully harmonized, provenance-rich data in industry-standard formats, ready to integrate directly into graph databases, triple stores, BI tools, and machine learning pipelines.

Core features and capabilities

Maintain full semantic structure

Exported data keeps the exact ontology mappings, entity relationships, and graph structure defined in the DISQOVER Knowledge Graph — ensuring consistency across ecosystems and teams.

Harmonized RDF & RDF*

Ideal for triple stores, semantic layers, FAIR workflows, or downstream knowledge graphs (including Neo4j via RDF import pipelines).

 

Export what you see

Anything you build in Explore — saved filters, enriched views, curated result sets — can be exported as structured data for downstream use.

Provenance-rich outputs

Every exported value includes its source metadata, enabling compliance, auditability, and trust throughout your analytical and regulatory processes.

Flexible formats for any workflow

Besides graph formats, DISQOVER Export supports XLSX, CSV, JSON, Parquet, and other lightweight outputs.

Ready for your ecosystem

DISQOVER Export transforms the connected knowledge inside your DISQOVER Foundation into portable, standards-based datasets you can use anywhere in your organization, without losing semantics, context, or traceability.

DISQOVER Export downstream
How DISQOVER unifies data (3)

 

Export a subgraph

With both Parquet and TTL export functionality, users can export targeted subsets of their knowledge graph, like specific concepts or relationships, and bring only what’s relevant into downstream analytics environments. This makes it easy to extend DISQOVER insights into data science workflows, BI tools, or AI pipelines, without unnecessary added noise, data volume, or loss of context.

Export data in the formats your ecosystem needs

TTL (RDF/RDF*)

Rich, semantic graph format that preserves ontology structure, relationships, and provenance — ideal for triple stores and graph environments.

Parquet

Optimized, columnar storage format for high-performance analytics and machine learning workloads.

CSV/XLSX

Lightweight tabular export for quick analysis, visualization tools, and ad hoc workflows.

JSON

Flexible structured output for APIs, dashboards, scripting, and integration into modern data pipelines.

Ready to power your ecosystem with harmonized knowledge?

Get started today