The LSRC was designed to simplify research by eliminating the need for logins to multiple information sources including scientific literature, patents, pipeline news, product catalogs and experimental protocol databases, and by automatically displaying relationships between search results. Researchers logged into the LSRC search keywords within full text using an intuitive user interface. Searching across multiple sources of information and within the full text of journal articles saves time and money because researchers can better determine which content is most useful to read or purchase.
Searches made specific to life science categories or within areas of research can be narrowed to include results by organism, disease or gene, and search data can be easily exported to citation managers. To help researchers identify relationships between data, common themes are automatically identified and clustered within the search results, and references to entities such as anatomy and chemicals are extracted from the full text and displayed with the results. LSRC uses UMLS, the National Library of Medicine's metathesaurus, to provide results for both search terms and their synonyms.
To meet specific needs of research organizations, LSRC is designed to be customized to include secure searching of external and internal corporate data sources as well as personalized for both individuals and collaborative workgroups.