Credential EngineCredential Engine
Fact Sheets

Linked Data Fact Sheet

Structured data is machine-readable and used by search engines to understand the content of web pages. Linked Data is a type of structured data that links between systems via the Web. When data is both structured and linked, it becomes a powerful tool that search engines and other systems can leverage.
Download Resource
Linked-Data-Fact-Sheet

Share this Resource

Tags: CTDL
Fact Sheets

Recognition of Prior Learning: Helping People Move Forward

Recognition of prior learning (RPL) is the process of providing formal acknowledgment and credit for knowledge, skills, and abilities people have gained through work experience, military service, self-study, volunteering, and/or previous education. This includes credit for prior learning (CPL), transfer credit between institutions, and validation of non-traditional learning experiences. RPL empowers people to move forward and build on what they already know rather than starting over, accelerating pathways to credentials and careers.

Fact Sheets

Connecting Learning and Jobs with CTDL Data: One-Pager

Publishing linked open data about jobs increases opportunities for people to achieve their learning and career pathway goals spanning education, training, and work. Using the Credential Transparency Description Language (CTDL) and the Credential Registry offers an open standard, transparent, and data-driven approach to bridging the gap between education and work in data ecosystems. It supports informed decision-making, effective skill matching, and collaborative partnerships for the betterment of learners, employers, and the economy. This one-pager provides key value propositions for improving the connections between learning and work in data ecosystems.

Fact Sheets

The Value of CTDL for AI

The use of AI in relation to credential, skill, and job data is changing the way credential providers, educational institutions, training organizations, employers, government agencies, and others are applying data-driven solutions to skills mapping, credential recommendations, career exploration, and more. The Credential Transparency Description Language (CTDL) and structured data in the Credential Registry improve the accuracy and relevance of these AI applications.

View All Resources
Fact Sheets

Recognition of Prior Learning: Helping People Move Forward

Recognition of prior learning (RPL) is the process of providing formal acknowledgment and credit for knowledge, skills, and abilities people have gained through work experience, military service, self-study, volunteering, and/or previous education. This includes credit for prior learning (CPL), transfer credit between institutions, and validation of non-traditional learning experiences. RPL empowers people to move forward and build on what they already know rather than starting over, accelerating pathways to credentials and careers.

Fact Sheets

Connecting Learning and Jobs with CTDL Data: One-Pager

Publishing linked open data about jobs increases opportunities for people to achieve their learning and career pathway goals spanning education, training, and work. Using the Credential Transparency Description Language (CTDL) and the Credential Registry offers an open standard, transparent, and data-driven approach to bridging the gap between education and work in data ecosystems. It supports informed decision-making, effective skill matching, and collaborative partnerships for the betterment of learners, employers, and the economy. This one-pager provides key value propositions for improving the connections between learning and work in data ecosystems.

Fact Sheets

The Value of CTDL for AI

The use of AI in relation to credential, skill, and job data is changing the way credential providers, educational institutions, training organizations, employers, government agencies, and others are applying data-driven solutions to skills mapping, credential recommendations, career exploration, and more. The Credential Transparency Description Language (CTDL) and structured data in the Credential Registry improve the accuracy and relevance of these AI applications.

Get in Touch

Our team of experts is ready to help you embark your credential transparency journey. Whether you have questions about our technologies, services, or don’t know how to get started, we’re here to assist.

Name(Required)
Skip to content