Here are some resources for the tools features at this event.


eagle-i is an innovative suite of applications that makes it easy to both discover and share biomedical resources at participating universities, helping investigators accelerate their research and collaborate. The platform is semantically engineered for maximal linking of research resources to other biomedical entities. eagle-i is working with VIVO to build a common ontology to further support research profiling leveraging data across the two systems.


The REDCap Consortium is composed of 584 active institutional partners from CTSA, GCRC, RCMI and other institutions in 54 countries. The consortium supports a secure web application (REDCap) designed exclusively to support data capture for research studies

The REDCap application allows users to build and manage online surveys and databases quickly and securely, and is currently in production use or development build-status for more than 62,000 projects with over 81,000 users spanning numerous research focus areas across the consortium. To find out if your institution is already running REDCap, you will find contact information on the Consortium Partners page.

  • Paul A. Harris, Robert Taylor, Robert Thielke, Jonathon Payne, Nathaniel Gonzalez, Jose G. Conde. Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377-81.
  • D. R. Masys, P. A. Harris, P. A. Fearn, I. S. Kohane. Designing a public square for research computing. Sci. Transl. Med. 4, 149fs32 (2012).
  • Jihad S. Obeid, Catherine A. McGraw, Brenda L. Minor, José G. Conde, Robert Pawluk, Michael Lin, Janey Wang, Sean R. Banks, Sheree A. Hemphill, Rob Taylor, Paul A. Harris. Procurement of shared data instruments for Research Electronic Data Capture (REDCap), Journal of Biomedical Informatics, Available online 10 November 2012, ISSN 1532-0464, 10.1016/j.jbi.2012.10.006.
  • Supplementary material from REDCap:



VIVO is an open-source software system, a network of investigators and institutions, and an open information representation model for scholarship. Scholars using VIVO are able to find other scholars and their work. Conversely, scholars using VIVO will be found by other scientists doing similar or complimentary work. VIVO leverages work done over the past nine years by Cornell University, supporting researchers and finding of researchers by representing data about them and their activities including publications, awards, presentations and partners. VIVO is fully extensible and based on Sematic Web concepts insuring sound data representation, vastly improved search over existing text based methods and integration of data with other applications. Support for researchers using VIVO is often done by librarians of the research institutions. Librarians provide an existing and fully integrated resource for enabling researchers and scholarly networking.

The VIVO project, funded by the NIH (2009-2012) delivered six products: 1) A first release of the software used at the seven participating institutions focused on institutional resources. This release was used to help establish internal support for the system and build understanding of system value; 2) A second release incorporating networking features used by the seven participating institutions to demonstrate the viability and utility of national deployment; 3) A third release incorporating features requested by the NIH and the project's Executive Advisory Board, fully integrated with the corresponding resource discovery solution, enabling full national networking capability; 4) a community support process to insure sustainability; 5) a sustainable, open product development process; and 6) a national, on-going governance process. The networking of scholars enabled by VIVO provides a fundamental new capability to improve research and its translation. Establishing networking of scholars will significantly improve all research by providing opportunities across all disciplines to identify existing and on-going work, identify potential new collaborations and improve and extend existing collaborations. Networking gives scholars critical new information regarding current activity to improve development, archiving and transmission of knowledge.

  • Börner, Katy, Conlon, Michael, Corson-Rikert, Jon, Ding, Ying (2012) VIVO: A Semantic Approach to Scholarly Networking and Discovery, Morgan & Claypool Publishers, ISBN 978-1-60845-993-3. 160 pages.