1. Linked Data Competency Index
Linked Library Data Interest Group (ALCTS/LITA)
January 9, 2016

2. Outcomes**
Competency Index for learning Linked Data - to help learners and instructors identify and prioritize skills for proficiency in Linked Data.
Exploratorium of educational resources for learning the competencies.
** both to be sustained and evolving

3. About us
Project under the jurisdiction of the Dublin Core Metadata Initiative (DCMI) Education & Outreach Committee.
Funded by the Institute of Museum and Library Services (IMLS).
Exploratorium & Competency Index will be sustained by DCMI to support its education and outreach activities.

4. Four Questions

5. What resources do you use to learn & teach Linked Data?

6. Are there ‘known unknowns’ you have about learning Linked Data?
(Will there ever be a clear definition of what falls into the scope of “Linked Data?”)
ISBN:

7. Are there specific tasks you have tried to learn and be unable to find a resource for?

8. What are some use cases for leveraging a competency index?

9. Outcome 1: Competency Index

10. 6 top-level clusters &
approx. 125 concepts

11. Six top-level clusters:
Fundamentals of Resource Description Framework
Identity in RDF
RDF data model
Related data models
RDF serialization
RDF vocabularies
Finding RDF vocabularies
Maintaining RDF vocabularies
Versioning RDF vocabularies
Publishing RDF vocabularies
Mapping RDF vocabularies
RDF application profiles
Fundamentals of Linked Data
Web technology
Linked data principles
Linked Data architectures and services
Linked Data policies and best practices
Non-RDF Linked Data

12. Six top-level clusters (cont):
Creating and transforming RDF Data
Managing identifiers (URIs)
Creating RDF data
Versioning RDF data
RDF data provenance
Cleaning and reconciling RDF data
Mapping and enriching RDF data
Interacting with RDF Data
Finding RDF Data
Programming RDF Data
Querying RDF Data
Visualizing RDF Data
Reasoning over RDF
Assessing RDF data quality
RDF Data analytics
Manipulating RDF Data
Creating Linked Data applications
Storing RDF data
Linked Data application architecture
Linked Data mashups

13. Drilling down…. Fundamentals of Resource Description Framework
RDF data model
Competency: Formulates QNames as a shorthand mechanism in writing prefixes for long URIs
Benchmark: Uses prefixes for URIs in RDF specifications and data
Interacting with RDF Data
Querying RDF Data
Competency: Demonstrates a working knowledge of the forms and uses of SPARQL result sets (SELECT, CONSTRUCT, DESCRIBE, and ASK)
Benchmark: Uses the SELECT clause to identify the variables to appear in a table of query results
Benchmark: Uses DESCRIBE to extract a single graph containing RDF data about resources

14. Learning Resources

15. SPARQL in 11 minutes, by Bob Ducharme

16. Resource to competency mapping
At 0:46 in the video, we get the anatomy of a triple.
This can to be mapped to a competency in the competency index.
In the index, we find:
Knows the subject-predicate-object structure of a triple

17. Mapping from Ducharme to competencies
im an editorial board member. this just shows my process for mapping. i was going through Bob Ducharmes book on sparql and basically mapped the different examples and skills to particular pages in the book.

18. What’s under the hood? (It’s RDF)
The resource metadata are encoded in RDFXML, using schema.org and dc terms:
<ns0:dateCreated rdf:datatype=" T07:00:00.000Z</ns0:dateCreated>
<ns0:about xml:lang="en-US">SPARQL syntax</ns0:about>
<ns0:about xml:lang="en-US">filtering</ns0:about>
<ns0:about xml:lang="en-US">sorting</ns0:about>
[show full resource.xml for Gruber tutorial?] so we have 3 namespaces here: xmlns:rdf=" xmlns:ns0=" xmlns:ns1=" this is just a snippet of a metadata, RDF-ized document describing a resource in our exploratorium. so here we see the resource is about sparql syntax, specifically filtering and sorting

19. Outcome 2: Exploratorium

20. Exploratorium: Where competencies and resources meet

21. Exploratorium: Where competencies and resources meet

22. What resources do you use to learn & teach Linked Data?