Learn More
VIVO, funded by NIH, utilizes Semantic Web technologies to model scientists and provides federated search to enhance the discovery of researchers and collaborators across disciplines and organizations. VIVO ontology is designed with the focus The VIVO ontology has been adopted nationally and internationally, and enables the national and international(More)
The world of scholarship is changing rapidly. Increasing demands on scholars, the growing size and complexity of questions and problems to be addressed, and advances in sophistication of data collection, analysis, and presentation require new approaches to scholarship. A ubiquitous, open information infrastructure for scholarship, consisting of linked open(More)
Institutional repositories (IR) and Current Research Information Systems (CRIS) store and manage information on the context in which research activity takes place. Several models, standards and ontologies have been proposed to date as solutions to provide coherent semantic descriptions of research information. These present a large degree of overlap but(More)
The key to a successful repository is sustained deposits, and the key to sustained deposits is community engagement. This paper looks at deposit profiles automatically generated from OAI harvesting information and argues that repositories characterised by occasional large-volume deposits are a sign of a failure to embed in institutional processes. The ideal(More)
is the result of an initiative to make information about the wide variety of life sciences activities taking place across Cornell's colleges and campuses publicly discoverable through an intuitive and extensible Web interface. While not intended to replace any individual unit's Web presence, VIVO provides a new and comprehensive view of the life sciences at(More)