Quantitative Data Mapping Guidance
The CTDL Quantitative Data schema (QData for short) is intended to describe aggregate/statistical data related to credentials and other such information. The QData model and accompanying properties and classes currently provide access to aggregate earnings, employment and holder data stemming largely from second party datasets (e.g., U.S. Department of Labor). Similar access is under development for including aggregate credential holder data. Current records in the Credential Engine Registry (CER) embody authoritative data provided either by: (1) the credential organization that owns or offers the credential as well as any associated learning opportunities or assessments; or, (2) a second party under the authority of such a credential organization. The earnings, employment and holder information of concern here is largely sourced through second party data aggregators including public sector agencies at both state and federal levels and private sector organizations supporting specific services and making that data more-or-less publicly available through various means.
Available profiles for this schema:
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Classes for Quantitative Data:
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