Difference between revisions of "LRMI/Implementation"

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The main deliverables will be documented on this page, including mappings.
 
The main deliverables will be documented on this page, including mappings.
  
== Live Implementations ==
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== LRMI Implementations Projects==
  
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During Phase 2 of the LRMI Project, Creative Commons was funded to work with up to twn OER platforms and registries to implement LRMI metadata. The goal was not only to get ten quality implementations ready but also to develop a suite of best practices references for others wishing to implement the specification themselves. Most of these implementation projects have now been completed and during Phase 3 of the LRMI Project Creative Commons and [http://www.cetis.ac.uk/ Cetis ] will be synthesising the outputs of these projects and developing a series of cases and associated materials.
 
Coming soon!
 
Coming soon!
  

Revision as of 15:48, 3 May 2014

LRMI Implementation

Creative Commons is funded to work with up to 10 OER platforms and registries to implement LRMI metadata. The goal is not only to get 10 quality implementations ready but also to develop a suite of best practices references for others wishing to do the implementation themselves.

The main deliverables will be documented on this page, including mappings.

LRMI Implementations Projects

During Phase 2 of the LRMI Project, Creative Commons was funded to work with up to twn OER platforms and registries to implement LRMI metadata. The goal was not only to get ten quality implementations ready but also to develop a suite of best practices references for others wishing to implement the specification themselves. Most of these implementation projects have now been completed and during Phase 3 of the LRMI Project Creative Commons and Cetis will be synthesising the outputs of these projects and developing a series of cases and associated materials. Coming soon!

Mappings

Mappings are created to "map" the LRMI specification to the currently in-use metadata schema on each platform or registry. This enables the platform to do an automatic conversion to LRMI without the need of much human intervention.

Mappings currently available: