The document discusses the "discovery problem" in open educational resources (OER) where smaller datasets and a lack of standardized metadata makes it difficult to discover relevant resources. It proposes the DiscoverEd prototype which is built on the concept of "curators" who populate the system using structured data feeds. The DiscoverEd prototype integrates full-text and structured data indices, allows for customizable querying and data export, and its refinements are extensible. Going forward, the authors suggest improving provenance tracking, customization templates, and widgets for community metadata as well as personal search and communities of practice.

1. Solving the OER “discovery problem”: the DiscoverEd prototype Ahrash N Bissell and Nathan Yergler

3. Many valuable metadata fields are ill suited to automatic discovery.

4. Problem of authority. Who says?

5. Scalability. The OER movement is a global effort.

6. No universal standards for ontologies, and probably never will be.

7. One view of the current “licensing landscape”

8. Structured data requirements for enhanced search and disocvery

9. Different curators. Different types and numbers of structured data (if any).

11. Human- and machine-readable formats are the same (“don't repeat yourself”)

12. Visual locality

13. Remix friendliness

15. Populated using feeds.

16. Integrated full-text and structured data indices.

17. Open for any querying and data export.

18. Refinements are extensible.

19. Highly customizable on both front and back ends.

20. The DiscoverEd prototype

24. Streamlined customization templates.

25. Widgets for community-acquired metadata.

26. Personal search and communities of practice.