The Competency Index for Linked Data (CI) will be composed 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. The structure of the CI under development is as follows:
Topical Cluster » Topic » Competency » Benchmark
This structure is illustrated on the Learning Resources page. CI development is expected to openly crowd-source expertise in the development processes under the guidance of the project’s CI Editorial Board (CIEB).
The primary goal of the RDF-modeled CI is to provide a means for mapping learning resources descriptions to the competencies those resources address to assist in finding, identifying, and election resources appropriate to specific learning needs. In the example of the CI on the Learning Resources page, individual nodes are followed by number (e.g. “(4)”) indicating the number of test mappings of actual learning resource descriptions to the competency/benchmark.
For a published example of this same four-part topical/competency model being followed in the CI, see the Competency Index for the Library Field in the U.S. ASN-D2L triplestore — click the expansion icon for a full view of the individual assertions; click on a specific assertion to see the assertion’s metadata description on the right. Additional information on the project and its development can be found here on the Exploring Linked Data website under Briefing Papers — see in particular LD4PE Overview.
- The example CI on the Learning Resources page is test data illustrating the project’s developing functionality and will be totally replaced as the CI Editorial Board advances its work in the coming months.
- The CI development work is being partially funded through an IMLS National Leadership Grant for Libraries.