Social research networks are one method in which researchers are able to manage their collection of scientific articles and exchange and discuss papers with colleagues. Examples of such research networks are Mendeley, Zotero and CiteULike among many others. The quality of services provided by such systems depends on the information that can be extracted from articles. Extracting metadata from the literature allows researchers to appropriately describe their literature, but it also makes more components of the literature more accessible. If literature is described in great detail using metadata, then there are more components of the literature than can be searched. This improves access to research literature and encourages the research community to provide more robust metadata descriptions. There are now coding programs that allow metadata to be extracted from the literature automatically such as the TeamBeam algorithm.
Ferguson J. (2012). Description and Annotation of Biomedical Data Sets. Journal of eScience Librarianship, 1(1).
Kern R, Jack K, Hristakeva M, Granitzer M. (2012). TeamBeam — Meta-Data Extraction from Scientific Literature. D-Lib Magazine, 18(7/8).