In particular, we’re looking for people to teach tools in 1.5 hr sessions with real data that address the following 4 categories:
--Big picture view: Introduce the basic concepts of LODLAM integrating examples of what people are already doing with it.
--Cleaning: Use Open Refine to clean and reconcile datasets to make them more usable for the public.
--Publishing: Demonstrate ways that people can publish datasets in the library/archive/museum space - from publishing CSV’s and posting datasets in Github to rdf’izing in Open Refine or using triplestores.
--Reusing and Building: Teach SPARQL as well as open source tools used to visualize single or multiple collections.
Let us know if you can help!