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biopharma-commercial-ontology-starter

Provide a governed biopharma commercial ontology with entity spine and metrics for TextQL/Ana.

Updated Jun 26, 2026
Search Tags:#ontology#metrics#governance#classification#biopharma
One-click install
npx skills add https://github.com/TextQLLabs/ontology-starter-kits --skill biopharma-commercial-ontology-starter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: biopharma-commercial-ontology-starter
Source: https://github.com/TextQLLabs/ontology-starter-kits/tree/main/biopharma
Command: npx skills add https://github.com/TextQLLabs/ontology-starter-kits --skill biopharma-commercial-ontology-starter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a pre-built, governed biopharma commercial ontology, saving time and effort in building from scratch.

Core Features & Use Cases

  • Pre-built Ontology: Offers a ready-to-use ontology for commercial/Rx data in TextQL/Ana.
  • Governed Metrics: Includes governed metric surfaces like TRx/NRx/NBRx volume, market share, decile coverage, gross-to-net, reach & frequency, etc.
  • Classification & Governance: Provides therapeutic-area/ATC + NDC classification, governance, and decision records.
  • Use Case: For a pharma/biotech commercial team needing a ready-to-run ontology for Rx, sales, field-activity, and payer data.

Quick Start

Connect this repo to Ana, connect your commercial warehouse, validate + adapt, then ask questions like "What's our NBRx share in the oncology basket this quarter, by region?".

Frequently Asked Questions about biopharma-commercial-ontology-starter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a governed biopharma commercial ontology for Rx and sales data?▼

A governed biopharma commercial ontology provides a pre-built entity spine with TRx, NRx, and NBRx metrics, saving time compared to building from scratch. You connect your commercial warehouse, validate the data model, and adapt classifications for immediate analytics.

What biopharma commercial metrics are included in a governed analytics ontology?▼

Governed biopharma commercial metrics include TRx, NRx, and NBRx volume, market share, decile coverage, gross-to-net, and reach and frequency. These pre-built surfaces allow commercial teams to query Rx, sales, field-activity, and payer data immediately.

Can I use a pre-built ontology for market access and sales ops payer data?▼

Yes, a pre-built ontology works for market-access and sales-ops teams by providing therapeutic-area and ATC plus NDC classification alongside governance. It requires connecting to your commercial warehouse and adapting the ontology to your specific payer data models.

How do I classify therapeutic areas and NDC codes in a pharma data warehouse?▼

Therapeutic area and NDC codes are classified using the ontology's built-in governance and decision records. Applying this classification to your pharma commercial data warehouse enables consistent metric definitions and validated analytics queries.

Does this commercial ontology require a specific data model to work with Ana?▼

The ontology requires connection to your commercial warehouse and adaptation to your specific data models within Ana. It provides an entity spine and validation framework, but does not work out-of-the-box without mapping to your existing Rx and sales data structures.

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