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URL: http://www.rsc.org/Publishing/Journals/ProjectProspect/FAQ.asp
Proper Citation: RSC Prospect (RRID:SCR_006264)
Description: Project to enhance online research articles across all of the RSC journals by identifying the compounds and subject terms to make it easier for users to find the articles that are most relevant to them, as well as providing downloadable information about compounds. RSC editors annotate compounds, concepts and data within articles and link these to additional electronic resources such as biological databases. This will transform the free text within an article to add new ways of identifying, retrieving and presenting the information within RSC publications. Text mining is used to attach structural information (InChI, SMILES and CML) to chemical names, especially chemical names which have never been seen before, and extensions handle terms defined in the Gold Book and ontology entries. The text mining is reviewed by skilled Technical Editors before publication.
Abbreviations: Prospect
Synonyms: Royal Society of Chemistry Prospect, Project Prospect
Resource Type: portal, data or information resource, project portal
Keywords: compound, subject, annotate, text mining, tag, semantic publishing, enriched publication
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Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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