CTDL Benchmark Models

CTDL Benchmark Models

Last Updated on 11/9/2020
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Introduction: Comprehensive information for understanding and making decisions about credentials is important for students and workers, employers, educators, government agencies, policymakers, and other stakeholders. In order to ensure we are gathering and enabling the use of relevant, clear, and quality data, Credential Engine has a Minimum Data Policy for the Credential Registry. The minimum data policy is based on the Credential Transparency Description Language (CTDL) and is the necessary baseline to establish credential transparency. However, the policy also identifies Recommended Benchmarks as models to include more comprehensive data that includes information valuable to different consumers, providers, employers, and agencies. Organizations offering credentials, education and career pathways, quality assurance, transfer value recommendations, and other information described by the CTDL are encouraged to include as much of this information as possible when publishing to the Registry. The recommended benchmarks allow for the creation and permanence of a more robust data network that offers valuable and trusted credential information to fuel the creation of services, tools, and opportunity.

Additional Information: These benchmark models are organized by credential type to accommodate the differences in both structure and data points for each credential type. Though not all credentials will fit perfectly into these boxes, these benchmark models serve as a guideline for the amount of information that can help describe your Certificates and Licenses.

Based on the definitions for Certification and occupational License, the following terms to describe credential renewal and revocation include: renewal, renewal frequency, renewed by, revocation, revocation process, and revocated by.

Credential Engine has also expanded the Credential Transparency Description Language (CTDL) to include data points for Pathways, Transfer Value, and Education and Training to Jobs Skills. We encourage you to publish and connect these data to information about your credentials, as well, to widen the impact and benefit of your contributions.

Additional Information: These benchmark models are organized by credential type to accommodate the differences in both structure and data points for each credential type. Though not all credentials will fit perfectly into these boxes, these benchmark models serve as a guideline for the amount of information that can help describe your Degrees and Certificates. Credential Engine has also expanded the Credential Transparency Description Language (CTDL) to include data points for Pathways, Transfer Value, and Education and Training to Jobs Skills. We encourage you to publish and connect these data to information about your credentials, as well, to widen the impact and benefit of your contributions.

Additional Information: These benchmark models are organized by credential type to accommodate the differences in both structure and data points for each credential type. Though not all credentials will fit perfectly into these boxes, these benchmark models serve as a guideline for the amount of information that can help describe your Apprenticeships. Credential Engine has also expanded the Credential Transparency Description Language (CTDL) to include data points for Pathways, Transfer Value, and Education and Training to Jobs Skills. We encourage you to publish and connect these data to information about your credentials, as well, to widen the impact and benefit of your contributions.

Additional Information: Only use the following benchmark model if you are publishing a digital badge that is a standalone credential. If you are publishing a credential that also has a digital badge associated with it, then please use the benchmark for that specific credential type.

These benchmark models are organized by credential type to accommodate the differences in both structure and data points for each credential type. Though not all credentials will fit perfectly into these boxes, these benchmark models serve as a guideline for the amount of information that can help describe your Badges. Credential Engine has also expanded the Credential Transparency Description Language (CTDL) to include data points for Pathways, Transfer Value, and Education and Training to Jobs Skills. We encourage you to publish and connect these data to information about your credentials, as well, to widen the impact and benefit of your contributions.

Additional Information: Education and Career Pathways are the starting points, available routes, and reachable destinations available to students and workers. People seek quality credentials as a means to achieve their education and career goals, but they often lack the necessary information to make use of their opportunities. This benchmark model helps individuals understand the routes, components and destinations such as credentials and training requirements for different jobs, how various credentials and skills translate to access and advancement in the workforce, and how different work and reskilling experiences can help with lifelong employability. Credential Engine recommends publishing these Pathways benchmark data (as applicable) into the Registry using the Credential Transparency Description Language (CTDL) to create a valuable linked open data network that reliably maps the credential landscape.

Pathway Components should be selected and used based on each pathways unique characteristics. This benchmark model is a draft and open for feedback via info@credentialengine.org.

Pathway Set

Benchmark

Pathway

Pathway Component

Additional Information: Transfer Value benchmarks help individuals, employers, providers, and other stakeholders better understand how different credentials and competencies relate to other opportunities. People seek quality credentials and specific competencies as a means to achieve their education and career goals, but they often lack the necessary information to understand the value of these opportunities in relation to their larger education and employment goals. The information recommended by this benchmark model can also help employers understand how to expand their talent pool. Credential Engine recommends publishing these Transfer Value benchmark data into the Registry using the Credential Transparency Description Language (CTDL) to create a valuable linked open data network that reliably maps the credential landscape.

This benchmark model is a draft and open for feedback via info@credentialengine.org.

Transfer Value Profile

Transfer Value Profile describes the nature of the transfer value along with references to the source(s) and/or recipient(s) of that value.

Value Profile

Value Profile describes the specifics (such as type and amount) of the credit associated with the transfer value.

Required

Benchmark

Pending Policy
Pending Policy
Pending Policy
Pending Policy

Condition Profile Benchmarks

A Condition Profile describes a set of requirements for a credential, assessment, or learning opportunity. If there is more than one way to earn a credential or to complete a learning opportunity or assessment, you will need more than one Condition Profile.

Process Profile Benchmarks

Requirements

Benchmarks