LIF is a practical way to make learner data usable across systems.
The Learner Information Framework (LIF) is a set of open-source tools and a shared learner data model that works with existing systems to help organizations identify, translate, and share learner data in a consistent way.
Instead of building custom integrations for every new application, LIF provides reusable infrastructure that allows systems to exchange learner information when authorized.
LIF does not replace institutional systems such as student information systems, learning platforms, or credential services. It connects them so learner data can move where it is needed.
Who LIF is For
LIF supports institutions and organizations that need learner data to work across systems without rebuilding integrations for every new initiative.
Leadership &
Technical Executives
Leaders responsible for long-term technology strategy and institutional interoperability.
LIF provides a reusable, governed approach to learner data interoperability—helping organizations avoid costly DIY solutions, fragmented efforts, and long-term technical debt. It enables institutions to scale digital initiatives with less risk and greater consistency.
IT &
Data Teams
Teams responsible for data architecture, integrations, and governance.
LIF acts as a lightweight, open-source translation and orchestration layer that maps institutional data to a shared learner model. It reduces brittle integrations, simplifies cross-system data access, and supports governance policies like consent and permitted use.
Product &
Application Teams
Teams building learner-facing tools such as portals, wallets, advising platforms, or AI applications.
LIF provides a single, consistent interface for accessing learner data—allowing teams to build across institutions and use cases without repeating complex integration work.
How LIF Helps
Identify learner data
Identify where learner information exists across institutional systems.
Translate formats
Convert institutional data into a consistent, shared learner structure.
Apply governance
Support consent rules and permitted-use policies before data is shared.
Deliver usable data
Provide applications with clean, standardized data they can immediately use.