As the world shifts toward skills-based hiring and learning, new terms like digital credentials, LERs, and CLRs are becoming more common—but also more confusing. These terms are often used interchangeably, even though they refer to different (but related) concepts.
A Universal Talent Passport (UTP) brings clarity to this landscape by treating all experience—formal credentials, informal learning, work history, personal projects, and lived experiences—as structured Learning & Employment Records (LERs) that can be verified through evidence, endorsements, or institutional issuers.
Below, we break down how these components work together and why they matter for the future of talent mobility.
Digital credentials are the broadest category: any digitally issued or digitally stored proof of a skill, achievement, or qualification.
These can include:
Digital credentials can vary widely in quality, detail, and trust. Some include deep metadata; others include only a title, issuer, and date.
Digital credentials were the first step toward a portable, verifiable skills ecosystem—but they are not enough on their own to represent a person’s full capability.
LERs are structured digital records designed to capture what a person knows, what they can do, and how they learned it.
They go beyond credentials.
An LER can represent:
LERs include evidence, metadata, and context, making them more informative and trustworthy than badges or certificates alone.
This makes LERs flexible enough to represent all forms of learning, not only formal or institutional ones.
A CLR is a type of LER—specifically designed to represent a student’s learning in a comprehensive, structured way.
CLRs typically:
Many people confuse the terms because they share similar goals: improving the portability and clarity of learning data. But CLRs focus on education, while LERs encompass education + employment + experience + skills.
In 2023, the industry lacks a fully unified vocabulary. Different organizations use terms like:
Sometimes they mean the same thing. Sometimes they don’t.
This inconsistency makes it difficult for learners, workers, and employers to understand what a credential represents—and how much trust they should place in it.
The Universal Talent Passport was designed to bring coherence to this fragmented ecosystem.
A Universal Talent Passport does not require verified credentials to function.
However, it is deliberately designed as:
Everything inside the passport—every skill, project, job, role, experience, or achievement—is represented using a structured LER schema that includes:
This ensures portability, machine readability, and cross-context clarity.
The UTP can hold:
Every artifact is normalized into the same underlying structure, creating consistency and comparability.
In 2023, Gobekli’s founding belief is simple:
LERs are the sustainable standard for the future of talent mobility.
Why?
✔ Capture learning wherever it happens
✔ Represent both formal and informal experience
✔ Support verification through evidence or issuers
✔ Translate skills into machine-readable formats
✔ Can evolve as the person evolves
✔ Enable AI-driven reflection, matching, and opportunity mapping
✔ Create a universal language for talent
Credential wallets alone cannot do this.
CLRs alone cannot do this.
Badges alone cannot do this.
Only a fully structured, flexible, evidence-ready data architecture—powered by LERs—can represent human capability across a lifetime.
That is why the Universal Talent Passport is, by design, a personal LER ecosystem, not just a credential container.
Enhance trust and reduce fraud—but are not the only source of truth.
The backbone of the entire system.
They allow every piece of experience to be structured, contextualized, and portable.
A valuable, education-specific subset of LERs that enrich a learner’s academic narrative.
Provide flexible verification when institutions are not yet issuing LERs.
Together, these components make the Universal Talent Passport: