Launched at the beginning of February, Project Prospect is an exciting new initiative from RSC Publishing. 

The aim of "Project Prospect" is to make the science within RSC journal articles machine-readable through semantic enrichment - the integration of metadata into text. Readers can now click on named compounds and scientific concepts in an electronic journal article to download structures, understand topics, or link through to electronic databases. 

Developed together with academic partners 'Project Prospect' is the first service of its scope from a primary research publisher. Feedback received about Project Prospect has been overwhelmingly positive. 

Glen Newton at the Canada Institute for Scientific and Technical Information describes Project Prospect as "...an exciting effort by the RSC". "As someone working in the area of text retrieval and semantic web," he continues, "this is a very exciting prospect." 

Ed Pentz, Executive Director at CrossRef is equally impressed: "[Project Prospect] is fantastic. I've just seen the future of the journal," he enthuses. 

Soft Matter author, Prof. Alejandro Marangoni from the University of Guelph is really pleased at how his recent paper benefited: "This functionality rounds off the scientific quality of the work and makes it more accessible to scientists from other disciplines. I thank you very much for improving my article in this way! Another truly innovative step by RSC." 

Bookmark the website www.projectprospect.org for FAQs, examples, contact information and latest news about the project.