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Noncredit Data Taxonomy 3.0: Credential Engine Resources

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Credential Engine has released a recommended benchmark and publishing template that maps the Noncredit Data Taxonomy 3.0 to the Credential Transparency Description Language (CTDL). Explore Credential Engine guidance resources related to the Benchmark here.

The Noncredit Data Taxonomy, developed by the Rutgers Education and Employment Research Center (EERC) and higher education partners through the State Noncredit Data Project, is a nationally recognized framework that organizes noncredit education data into a common structure, covering program design, student outcomes, enrollment, and finance and policy.

The new benchmark model connects that framework to the CTDL, providing a practical, structured pathway for states, institutions, and workforce agencies to publish noncredit education data in a format that is consistent, comparable, and interoperable, bringing noncredit data into the broader credential transparency ecosystem as a visible and connected part. 

By mapping the Noncredit Data Taxonomy 3.0 to the CTDL, the benchmark model bridges two important efforts: the field’s growing consensus on what noncredit data matters, and the technical infrastructure needed to make that data visible and usable across the many systems.

EERC Noncredit Data Taxonomy 3.0 and Implementation Guide View ResourceDownload Resource
Mapping the Noncredit Data Taxonomy 3.0 to the CTDL: A New Benchmark Model for Noncredit Education Data View ResourceDownload Resource
Noncredit Data Taxonomy Benchmark Model View ResourceDownload Resource
Noncredit Data Taxonomy Publishing Guidance View ResourceDownload Resource

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