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Credential Transparency State Partnerships Overview
State and regional partners are working with Credential Engine to use the Credential Transparency Description Language (CTDL) and publish data to the Credential Registry. Credential Engine’s technologies support numerous statewide priorities. This resource provides an overview of our current state and regional partnerships.
The Value of CTDL for AI
As uses of AI and machine learning are very quickly evolving for applications like skills mapping, learning opportunity recommendations, and career exploration, CTDL provides huge advantages for improved accuracy and relevance in these applications. The CTDL schema and CTDL data in the Credential Registry are highly useful for training and refining AI models because they are structured data that is organized, predefined, and formatted consistently. And the more data that is available in CTDL, the more thoroughly AI tools can analyze patterns in the linked open data and make valuable connections. Credential Engine is working with partners on innovations that combine CTDL as a rich data schema, the huge body of CTDL data that is already in the Credential Registry, and new AI-assisted tools that publish to and consume from the Credential Registry. This resource provides an overview of structured data and the value of CTDL for AI.
Publishing Jobs Data with CTDL: 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.
Credential Engine Technical Services Fact Sheet
The Credential Transparency Description Language (CTDL) family of specifications, our account management system, publishing tools, and Credential Registry are and will always be available at no cost. To enable a broader community of practitioners and providers to leverage these, we offer related fee-based technical design and development services.
Services for Publishing Competencies and Skills: Scaling Up
Credential Engine provides easy to understand services packages to scale up credential and competency transparency.
Services for Publishing Pathways: Getting Started
Learn how to get started publishing pathways and their components to the Credential Registry.
Services for Publishing Pathways: Scaling Up
Learn how to scale up in publishing pathways and their components to the Credential Registry.
Services for Learning and Employment Records: Getting Started
This fact sheet describes our services for getting started publishing information to embed in credentials. These services can be customized and combined with additional services and supports, including in-depth technical services, to address your specific circumstances and needs.
Services for Learning and Employment Records: Scaling Up
This fact sheet describes our services for scaling up publishing information to embed in credentials. These services can be customized and combined with additional services and supports, including in-depth technical services, to address your specific circumstances and needs.
Services for Publishing Transfer Values: Getting Started
To help people advance more efficiently when they enroll in a program or start a job, all types of organizations can use Credential Transparency Description Language (CTDL) Transfer Values (TVs) to signal both the transfer value they accept and the transfer value they provide, enabling a currency of exchange.
Services for Publishing Transfer Values: Scaling Up
To help people advance more efficiently when they enroll in a program or start a job, all types of organizations can use Credential Transparency Description Language (CTDL) Transfer Values (TVs) to signal both the transfer value they accept and the transfer value they provide, enabling a currency of exchange.
Making Certification Data Transparent to Advance State Goals
As states make progress towards their goals, a critical objective is to demonstrate the connections and pathways among credentials. In particular, states are looking to illustrate how education and training opportunities provided by high schools, career and technical education (CTE) programs, private training providers, and postsecondary institutions prepare individuals to successfully obtain industry certifications.