Resources
Here are some resources for the tools features at this
event.
eagle-i
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.
REDCap
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.
- http://project-redcap.org
- 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: http://tinyurl.com/redcap-supplementary
DMPTool
VIVO
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.
- http://www.vivoweb.org
- 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.
