Credential Engine Technical Committee

Many efforts are going on now across organized groups to tackle challenges that are currently barriers to realizing open, interoperable data models and schemas for credentials and competencies. The Credentialing Transparency project’s Technical Advisory Committee (TAC) promotes collaboration and harmonization of standardization initiatives, including identification of opportunities to formalize and document open models, vocabularies, and schemas. The TAC consists of approximately 20 - 25 members and is staffed by Southern Illinois University (SIU) staff and consultants. The members represent:

TAC Membership and Meeting Format

The listing of Technical Advisory Committee members is maintained along with the four additional Credential Engine Advisory Groups on the Credential Engine website. The TAC continues to invite and encourage new membership. Technical and content experts can submit a request to join the TAC.

The TAC meets the last Friday of each month via a live webinar and smaller groups are formed to review specific specification proposals as needed. The small groups typically meet 2 - 4 times via live webinar.  Materials, information, and discussion are via Google Drive and Groups.  Issues are documented and commented on via GitHub.  

Mission and Work Plan

The TAC promotes collaboration and harmonization across initiatives that are developing data models, vocabularies, and schemas related to the major credential properties (descriptors) based on the principles of Linked Data. These collaboration and harmonization efforts focus on the credential domain as well as related domains for each credential descriptor. These related domains are most critical to addressing the functional requirements of four major applications and achieving the Credential Engine goals of improving transparency and coherence in the credentialing marketplace. These related domains include, but are not limited to:

The TAC will also review beta-testing plans for the Credentialing Registry and Credential Directory App.

The committee, at this time, is not a W3C or ANSI standards committee but will follow similar tenants such as transparency and consensus. All committee members will have input to impact the metadata infrastructure, the Credential Registry and Directory app design, and pilot.  

The metadata recommendations are guided by Stuart Sutton, DCMI Managing Director, and Associate Professor Emeritus, Information School, University of Washington.  Final decisions on the metadata recommendations are made by the Credential Engine leadership.

Using W3C Linked Data Principles and 5-Star Linked Data Rating System

The TAC conducts its work based on the W3C Linked Data specifications and best practices guiding principles and 5-Star Rating System for realizing the vision of open linked data to improve transparency and coherence in the credentialing marketplace. The guiding principles are:

The TAC considers the following general roadmap based on these benchmarks, as well as related benchmarks, for open data:

  1. Open Linked Data Vision - Raise awareness and understanding of the vision and application of linked data principles and how to move toward that vision in the credentialing marketplace.
  2. Open Data - Data is made available on the web through an organization’s website.  
  3. Machine-Readable Structured Open Data - Open data is provided in a machine-readable and structured format with the transition from proprietary (e.g., Excel spreadsheets) to non-proprietary formats.
  4. Open Structured Data Based on W3C Standards - Open data is provided using the open linked data standards recommended by the W3C (e.g., RDF/RDFS/OWL).
  5. Open and Linked Structured Data Based on W3C Standards - Open data is provided using the W3C standards and links are provided to other data.

The committee also reviews related Linked Data benchmarks for enhancing this roadmap, including benchmarks for data quality, provenance, and vocabulary use. This approach is being used to develop the personalized roadmap guides for pilot-site organizations based on where they are at now in moving toward Linked Data.

Linked Data Roadmap