Improving the Discoverability of Scholarly Content in the Twenty-First Century :
“Discoverability is a popular buzzword—ultimately meaning the degree to which scholars can locate the content needed to advance their research and other creative activity. Improved user discovery experiences require heightened collaboration among (1) scholarly publishers and their published authors; (2) search engine developers, database providers, abstracting and indexing services, and academic publishers; (3) electronic resource management and integrated library system vendors; and (4) librarians who advance institutional discoverability. Drawing from interviews with value chain experts, results of research studies, and insights from scholarly literature, this white paper assesses the currently fragmented discovery environment and proposes cross-sector conversations to further visibility and, ultimately, usage of the scholarly corpus, not only on the open web, but within library services.”
URL : http://www.sagepub.com/repository/binaries/librarian/DiscoverabilityWhitePaper/
Utopia documents: linking scholarly literature with research data :
“Motivation: In recent years, the gulf between the mass of accumulating-research data and the massive literature describing and analyzing those data has widened. The need for intelligent tools to bridge this gap, to rescue the knowledge being systematically isolated in literature and data silos, is now widely acknowledged.
Results: To this end, we have developed Utopia Documents, a novel PDF reader that semantically integrates visualization and data-analysis tools with published research articles. In a successful pilot with editors of the Biochemical Journal (BJ), the system has been used to transform static document features into objects that can be linked, annotated, visualized and analyzed interactively (http://www.biochemj.org/bj/424/3/). Utopia Documents is now used routinely by BJ editors to mark up article content prior to publication. Recent additions include integration of various text-mining and biodatabase plugins, demonstrating the system’s ability to seamlessly integrate on-line content with PDF articles.”
URL : http://www.bioinformatics.oxfordjournals.org/content/26/18/i568.full