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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.
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Linked-Data-Fact-Sheet

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Equity Advisory Council Report and Recommendations

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.

Fact Sheets

Credential Transparency Description Language Fact Sheet

The Credential Transparency Description Language (CTDL) is a scheme (a type of-mini language that people and systems can use to understand each other even if their data comes from different sources) that anyone can use to share information about credentialing data. The CTDL not only provides a common and unified way of describing information in the Credential Registry, it is also an open language that can be used on the web. This powerful feature makes it dramatically easier for students, businesses, researchers, and automated systems to discover, understand, and compare information about credentials from a variety of sources.

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Report

Equity Advisory Council Report and Recommendations

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.

Fact Sheets

Credential Transparency Description Language Fact Sheet

The Credential Transparency Description Language (CTDL) is a scheme (a type of-mini language that people and systems can use to understand each other even if their data comes from different sources) that anyone can use to share information about credentialing data. The CTDL not only provides a common and unified way of describing information in the Credential Registry, it is also an open language that can be used on the web. This powerful feature makes it dramatically easier for students, businesses, researchers, and automated systems to discover, understand, and compare information about credentials from a variety of sources.

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