The most current version of the Linked Data for Professional Education (LD4PE) Competency Index is now available for review and feedback. The Competency Index for learning Linked Data is designed to help learners and instructors identify and prioritize skills for developing proficiency in Linked Data.
“Understanding Linked Data standards and practices has become a key requirement for information professionals … This urgent need to develop Linked Data competencies in the professional workforce is driving major initiatives to provide learning resources (LR) about the underlying standards and data model” (LD4PE Overview—Briefing #4).
- funded by the U.S. Institute for Museum and Library Services (IMLS) and supported by Dublin Core Metadata Initiative (DCMI), UW iSchool, Sungkyunkwan University (SKKU) –
intends to develop a Linked Data Exploratorium referatory for Linked Data learning resources descriptions that map the resources to a Competency index for Linked Data (CI) and the supporting infrastructure including metadata editors (see: LD4PE: A Competency-Based Framework for DCMI's Professional Education and Training Agenda).
The CI is comprised of a set of topically arranged assertions of the knowledge, skills and habits of mind required for professional practice in the area of Linked Data.
Updated version (May 2016) of the LD4PE Competency Index is available for review and feedback
The most current version of the LD4PE CI is now available for review and feedback.
On the Exploring Linked Data site, the index can be browsed HERE.
Browse by COMPETENCY
Browse by TOPIC
How does this work?
Select arrows to the left of Competency Index nodes for an expanded view of any child nodes beneath them. Select a node's competency statement to view a listing of resources associated with that competency in the adjacent panel. — Learn more about the Competency Index
How does this work?
Select arrows to the left of Topic Index nodes for an expanded view of any child nodes beneath them. Select a node's topic statement to view a listing of resources associated with that topic in the adjacent panel.
(Explore Linked Data Learning Resources: Select a competency assertion or topic statement to view the listing of associated learning resources)
The index is organized hierarchically, going from broad topic clusters down to specific benchmarks:
— — Competency: Tweet-length assertion of knowledge, skill, or habit of mind
— — — Benchmark: Action demonstrating accomplishment in related competencies
The current top level TOPIC CLUSTERS are:
– Fundamentals of Resource Description Framework
– Fundamentals of Linked Data
– RDF vocabularies and application profiles
– Creating and transforming RDF Data
– Interacting with RDF Data
– Creating Linked Data applications
Your comments, questions, and feedback about specific concepts of the index are highly encouraged! CI development is expected to openly crowd-source expertise in the development processes under the guidance of the project's CI Editorial Board (CIEB) asking you to help spread the word and help solicit feedback from those that can contribute.
During the project period, people interested in participating in the LD4PE project can provide assistance in two areas:
- Suggesting competency statements (assertions of what a learner of Linked Data should know or be able to do); and
- Identifying existing web-accessible learning resource from short recipe videos to large learning units that address one or more Linked Data competencies.
General questions about participation?
Contact Michael Crandall, LD4PE Project PI
Questions about participation in creation/assessment of the Linked Data competencies?
Contact Tom Baker, Chair, Competency Index Editorial Board
Questions about participating in learning resource discovery and description?
Questions about participating in the project’s technical implementation?
Contact Stuart Sutton
For additional information on contacting or participating with the project