MedTech R&D Data & AI
Vision & Capabilities
How the Research & Development Data & AI Platform makes R&D data across MedTech accessible and actionable — the mission, the principles it's built on, and the proven capabilities MedTech teams already build on.
A pivotal hub for R&D data and AI
The R&D Data & AI Platform is an integrated technology solution that makes R&D data across MedTech accessible and actionable. It places data producers and consumers in the driver's seat and empowers them to make data-driven decisions with Analytics and AI. The R&D Data Backbone (RDB) is the data foundation it is built on.
It harnesses real-time and near-real-time data from MedTech source systems, establishing a solid base for thorough analysis, reporting and strategic decision making — an accurate, comprehensive view of the MedTech R&D landscape, and a way to put J&J MedTech's Data and Analytics/AI DNA to work in what you build on the platform.
Empowering our team with a self-service data platform will be a game-changer. It fosters collaboration, innovation, and agility, enabling us to unlock the true potential of our data assets across the various MedTech domains.
Our vision
To revolutionize J&J MedTech by harnessing next-generation AI, analytics, automation, and autonomous agentic frameworks — seamlessly integrated into our digital platforms and products — to accelerate innovation, reduce time-to-market, and enable new business models that elevate patient care — ultimately paving the way for a healthier, more sustainable future for all.
Core tenets
The principles every platform capability is built around.
FAIR principles
Every data asset is managed to be Findable, Accessible, Interoperable and Re-usable — FAIR by design, not as an afterthought.
Data as a product
Data is published, versioned and owned like a product — from foundational services up to decision-ready knowledge products.
Federated governance
Domains own their data; the platform enforces shared policy, access controls, audit and data contracts — governance without bottlenecks.
No copies, no movement
Data stays at its source and is consumed in place through the marketplace — fewer copies, fewer sync jobs, one version of the truth.
Ease of use
Self-service discovery, subscription and provisioning across technology boundaries — minutes to data, not weeks of tickets.
How the platform works
A self-service marketplace sits between you and the environments where data lives — one surface for discovery, subscription and governance.
You and your team
consumers across domains
Solutions
product and platform solutions
Unified Data Marketplace
self-service portal
Discovery
Asset Management
Governance and Security
Consumption environments
where data is used
Driving innovation across the value stream
The R&D Data Backbone (RDB) empowers platform and product capabilities across the entire product lifecycle.
R&D Data Backbone
One governed data foundation beneath every stage — real-time and near-real-time data from MedTech source systems, consumed in place.
Stages 01–13
- 01 Market Requirements Lifecycle starts
- 02 Ideation and Concept
- 03 Technical Feasibility
- 04 Regulatory Strategy
- 05 Design Validation and Human Factors Engineering
- 06 Product Development
- 07 Clinical Trials and Evidence
- 08 Regulatory Submission
- 09 Manufacturing and Supply
- 10 Commercialization
- 11 Service and Repair
- 12 Post-market Surveillance
- 13 End-of-Life Lifecycle ends
Explore what's already proven on the platform.
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