Don Waters convening and describing OAI protocol for metadata harvesting and pointing out the paupacity of Dublin Core for this use.

Tony Hey of Microsoft. Carl Lagose of Cornell. Herbert von de Sompel. Cliff Lynch.

Tony has slides. He says that Microsoft is commited to supporting scientists and engineers via open standards. He ran the equiv of NDIIPP in UK. e-Science (aka data centered science) is the future. Microsoft has to live in the world of open source. by e-Science he means not so much data centered as dataprocessing/IT driven. Contoso virtual science library looks like Amazon for scientists with some Microsoft icons on it. (slide of Bill Gates). e-Science Mash-ups? Interoperability of repositories. Ginsparg(arXiv)/Lipman(NLM)/Harnad (eprints) cited.

Herbert has slides too. He’s at Los Alamos these days. digital objects and repositories and their value chains. Need richer cross-repository services such as discovery — must have digiobject representation and semantics. Scholarly communication workflow for say an overlay journal by recombining and adding value. Too many datamodels and service that do not interoperate.

Carl on the digital objects, data models and surrogates. unbaked says Carl but here goes. He’s presenting findings from the Pathways Project which comes from Herbert and Carl and others. Pathways he says sits above dspace, fedora, eprints, etc.
repository-centric indentifier paradigm (see J Kunze and others).

Cliff now moderates ?s. But he has his own comments first. how far we’ve come with metadata harvesting protocol but it has limits as it doesn’t really get you any objects, says CL. dealing with very messy complex objects to the point that metadata and object are confused and conflicted. basically trees with decorations on them — how to decorate the trees. pretty simplified way of looking at complex problems. How far should harvest be pushed toward search. for notes from the April meeting. if i had it all to do again, i wouldn’t use ‘surrogate’ but ‘representations’ says CL.

Many of the questioners recall the failed attempts of the 80s and 90s to do effective data harvesting etc. Still no working models is charged. I too complained to Kunze and to CL at OAI presentations that it was not ready for adoption outside the research community. In some ways it’s like watching Wiley Coyote opening his latest Acme box with the product that will help him finally catch the Roadrunner. This time we’ll be sure to catch him! Rich interoperability is done well within constricted domains but not so well across domains. like not at all.