We have developed the Chemical Semantic Web so that computers can understand primary publications and act upon them. We argue that data in these are "facts" under the Berne Copyright convention and therefore re-usable without hindrance. We see Open Access, especially to data, as an exciting opportunity to transform chemical informatics and provide a global knowledge base. We shall present arguments that funders, researchers, editors and readers should promote a model of publication for Open Data.

We shall provide online demonstrations of the power and potential of the Chemical Semantic Web based on Open Access to primary publications.