T3 Open Competencies Network: Difference between revisions

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== Introduction ==
== Introduction ==
::The talent ecosystem is vastly improved when skills and competencies (i.e., statements of knowledge, skills, dispositions, abilities and habits of mind or practice) are utilized and aligned for learning,  communicating individual achievements, career pathways, and hiring. The OCFC Network is focused on solving three overarching challenges in the skills and competencies ecosystem: (1) existing skills and competencies are held captive in legacy encoding schemes (e.g., PDF, Microsoft Word, CSV (spreadsheets), etc.); (2) skills and competencies are not accessible to people nor machine actionable; and (3) skills and competencies are not shared via open licenses.
::The talent ecosystem is vastly improved when skills and competencies (i.e., statements of knowledge, skills, dispositions, abilities and habits of mind or practice) are utilized and aligned for learning,  communicating individual achievements, career pathways, and hiring. The OCFC Network is focused on solving three overarching challenges in the skills and competencies ecosystem: (1) existing skills and competencies are held captive in legacy encoding schemes (e.g., PDF, Microsoft Word, CSV (spreadsheets), etc.); (2) skills and competencies are not accessible to people nor machine actionable; and (3) skills and competencies are not shared via open licenses.
::The Open Competency Framework Collaborative Network (OCF Collab) aims to make skills and competencies readily available to humans and machines by developing a membership trust network (Trust) of open registries holding one or more competency frameworks and by enabling search and retrieval of those frameworks and their competencies from any registry node in the network. The OCF Collab broadly defines the concept of a competency to include any attribute required to perform a work role including knowledge, skills, abilities, habits of mind or practice and tasks. The Collab defines a competency framework as an instance of a logically related set of competencies based on a specific competency framework model that has been encoded using a recognized metamodel standard such as, but not limited to, [http://www.imsglobal.org/ IMS Global Learning Consortium]’s [https://www.imsglobal.org/activity/case#PublicDocuments CASE], [https://credentialengine.org/ Credential Engine]’s [https://credreg.net/ctdlasn/terms CTDL-ASN], and University of Washington/[https://www.d2l.com/ D2L]'s [http://standards.asn.desire2learn.com/ ASN]. Since the OCF Collab standard does not require a registry to natively use any particular metamodel in encoding its competency frameworks and associated competencies, the Collab relies on a transformation, or interchange service to transform instance data following one metamodel into instance data following a different metamodel. In the T3 OCF Collab instance based on this specification, the transformation service used is Rosetta Lens; by [https://eduworks.com/ Eduworks]. The mappings upon which such translation services rely have been provided through an instance of the OCF Collab’s [https://github.com/t3-innovation-network/desm#readme ''Data Ecosystem Schema Mapper''] (DESM) tool that maps property semantics between publicly recognized competency framework metamodels.


== Description ==
== Description ==
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Revision as of 19:07, 29 October 2021

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T3N2 Open Competency Framework Collab

Introduction

The talent ecosystem is vastly improved when skills and competencies (i.e., statements of knowledge, skills, dispositions, abilities and habits of mind or practice) are utilized and aligned for learning, communicating individual achievements, career pathways, and hiring. The OCFC Network is focused on solving three overarching challenges in the skills and competencies ecosystem: (1) existing skills and competencies are held captive in legacy encoding schemes (e.g., PDF, Microsoft Word, CSV (spreadsheets), etc.); (2) skills and competencies are not accessible to people nor machine actionable; and (3) skills and competencies are not shared via open licenses.
The Open Competency Framework Collaborative Network (OCF Collab) aims to make skills and competencies readily available to humans and machines by developing a membership trust network (Trust) of open registries holding one or more competency frameworks and by enabling search and retrieval of those frameworks and their competencies from any registry node in the network. The OCF Collab broadly defines the concept of a competency to include any attribute required to perform a work role including knowledge, skills, abilities, habits of mind or practice and tasks. The Collab defines a competency framework as an instance of a logically related set of competencies based on a specific competency framework model that has been encoded using a recognized metamodel standard such as, but not limited to, IMS Global Learning Consortium’s CASE, Credential Engine’s CTDL-ASN, and University of Washington/D2L's ASN. Since the OCF Collab standard does not require a registry to natively use any particular metamodel in encoding its competency frameworks and associated competencies, the Collab relies on a transformation, or interchange service to transform instance data following one metamodel into instance data following a different metamodel. In the T3 OCF Collab instance based on this specification, the transformation service used is Rosetta Lens; by Eduworks. The mappings upon which such translation services rely have been provided through an instance of the OCF Collab’s Data Ecosystem Schema Mapper (DESM) tool that maps property semantics between publicly recognized competency framework metamodels.

Description

The OCFC Network focuses on the organizational and technical infrastructure to improve the use of skills and competencies to power the talent ecosystem at scale. OCFC Network membership is open to individuals interested in participating with national and international efforts and infrastructure projects to improve the talent ecosystem through open, shared skills and competencies. This includes: advocates for open, shared data, and use of data standards; organizations that maintain sources of skills and competencies (e.g., libraries, registries, repositories-hereafter sources); and skill and competency data creators, users, or consumers.

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