Project Showcase

The T3 Networks each run projects that work to create public resources and tools for the community. Participation is voluntary. Project members, like network members, come from all industries, sectors, and countries. For more information or to join, email

LER & SBHA Toolkit

A suite of resources designed to support the implementation of SBHA initiatives deployed with LER innovations. The Demonstration Guide and Resource Library aims to support current and potential demonstration teams, employers, human resources, workforce partners, and stakeholders across the SBHA & LER ecosystems. The guide provides general project guidance about the components of implementation project teams need to ensure they plan for and take into consideration for effective SBHA with LER deployment. The resource library provides a diverse collection of non-technical and technical resources to support activities required for SBHA with LER implementations.

Experience You

LER Network

An effort to test whether artificial intelligence (AI) and related technologies can help bring someone’s past education and employment history forward to produce a skills-based, standards-based LER that can be self-verified. Phase 1 successfully demonstrated the power of AI to achieve this ambitious goal. The project now advances to phase 2 where our partners will design field tests that can demonstrate real world use cases that meet the workforce where it is and make LERs a resource for everyone, including current workers, the unemployed, and those who have completed an education program or earned a credential in the past.

LER Resume Standard (LER-RS)

LER Network

A specification developed to bridge the divide between employer hiring systems and LERs. The LER-RS enables the use of LERs when applying for jobs and career advancement opportunities by enabling HR systems to process data from one or more LERs. The T3 Network is also developing a prototype resume publisher to demonstrate how an individual can organize a machine actionable resume using LER data.


LER Network

A standard developed to enable the linking or binding of data in multiple LERs as well as enable an individual or organization (e.g., an employer) to validate one or more assertions in someone’s LER. In addition, the T3 Network is developing a prototype tool that will demonstrate how the standard can be used by individuals to both link their LERs and have the skill, competencies, and experiences within them validated by others.

Competency Explorer


A protocol that enables any holder of one or more competency frameworks, skill frameworks, or ontologies to link to other holders thereby creating an interconnected system of libraries or registries that can be searched. Through the Competency Explore by visiting one library or registry you are able to search all of them. Currently, the T3 Network is working to integrate the Competency Explorer search feature into the forthcoming JobSIDE tool.

Data Ecosystem Schema Mapper (DESM)


The DESM was developed to support data standards organizations–and the platform and products that use those standards–in mapping, aligning and harmonizing data standards to promote data interoperability for the talent marketplace. The DESM allows for data packages to move from a system or product using one or more data standards to another system or product that uses a different data standard. Currently, the T3 Network is implementing and deploying upgrades to the DESM tool to enhance mappings and user experiences.

Use Cases for Skills-Based Hiring and Advancement

JWD & DTS Networks

The Master Use Case provides an in-depth look at human and technology workflow processes used to operationalize skills-based hiring for job seekers, education providers, and employers. It includes the use of data standards for each step in the process and identifies potential points of failure and where additional work is needed in order to realize the full potential of skills-based hiring and advancement for the talent marketplace.

Competency Framework Extraction Module (CFEM)


The CFEM enables stakeholders to take unstructured data about competencies, learning outcomes, and/or skills and convert them to machine actionable data per a data standard. This tool meets the community where it is at today and empowers stakeholders in the talent marketplace to be part of this digital transformation by converting existing and past unstructured data to structured, standards-based data.


Drop us a line at

JWDN Facilitator
Open Recognition Alliance
Vice President
OCFC Facilitator
DTSN Facilitator
Executive Director, HR Open Standards
Executive Director, Engineering, ASU Enterprise Technology
IBM Consulting's global leader for Trustworthy AI
LERN Facilitator
Senior Director, Programs at U.S. Chamber of Commerce Foundation
President, Reconnaître—Open Recognition Alliance
Executive Director, Policy & Programs
Executive Director, Policy & Programs