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Fact Sheets

Credential Transparency is Essential to Attaining State Policymaker Goals

This fact sheet concisely and effectively explains the importance of credential transparency and the need to advance and support it through timely policy.
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Included are numerous examples of the diverse ways that states across the country are prioritizing credential transparency and using it to advance various state goals.

As policymakers create data systems for credential transparency, they should ensure that these systems: Describe credentials using a common language; tap into a shared repository so stakeholders have access to up-to-date information without duplicating efforts; and are actionable so stakeholders can use the information to inform their decisions.

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Tags: Credential Transparency, State Partners & Policymakers
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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.

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Credential Engine’s work is centered around data transparency. Transparent, linked, open data has been identified as a particularly valuable tool for revealing inequities, understanding their root causes, and then informing and driving systemic change in a number of areas, including postsecondary education and training. Credential Engine understands that in a society rife with inequities, a commitment to open data use alone is not sufficient. To support the intentional identification and publishing of key data to aid the field in assessing equitable pathways, transfer, and the recognition of learning, Credential Engine convened a broad coalition of equity-focused thought leaders, called the Equity Advisory Council (EAC). The Council, along with HCM Strategists, and Credential Engine staff worked diligently to create a report of recommendations.

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