REGISTER for the DuraSpace Hot Topics Webinar Series: VIVO–Research Discovery and Networking
Submitted by on Mon, 2013-04-29 10:39
Winchester, MA DuraSpace is pleased to announce its latest Hot Topics Webinar Series, VIVO: Research Discovery and Networking. DuraSpace web seminars fill up fast so be sure to reserve your spot today!
Hot Topics: The DuraSpace Community Webinar Series Series Five: VIVO–Research Discovery and Networking
Curated by Dean Krafft, Chief Technology Strategist at Cornell University Library and Chair of the VIVO-DuraSpace Incubator Project Management Committee.
VIVO is an open community, an information model, and an open source semantic web application supporting the advancement of scholarship by integrating and sharing information about scholars, their activities and outputs at a single institution. Discovery of related work and expertise is supported across a distributed multi-institutional network. VIVO supports descriptions of the full academic context of scholars and researchers in any discipline, and it makes explicit the connections of researchers and scholars to their grants, publications, courses, creative works, co-authors, datasets, performances, research instruments, projects, and much more.
VIVO is joining DuraSpace as the VIVO Project, via the DuraSpace incubation program, to realize our shared mission in support of research and scholarship through an established legal and financial framework compatible with VIVO’s own vision and goals. This webinar series will introduce VIVO and the VIVO community, provide views into VIVO implementations at three quite different institutions, and conclude with a more technical session describing the VIVO ontologies, linked open data, and the community processes supporting VIVO as a new project with DuraSpace. There are 3 webinars in this series:
Overview of VIVO
Tuesday, May 14, 2013 at 11:00amEDT
VIVO is an open-source research discovery tool that integrates information about researchers with additional context from their relationships to grants, publications, research facilities, projects, events, affiliations, and with other researchers. VIVO stores this information as a network for browsing or searching in a single tool across a university or other institution. This webinar provides an introduction to VIVO, to the open-source technologies and standards it builds on, and to the community of people and organizations in academia, government, non-profit, and corporate world engaged in VIVO and the exchange and interoperability of VIVO-compatible data. Highlights from VIVO implementations will include examples of VIVO's current and potential connections to related tools including institutional repositories, dataset registries, research resource discovery systems, and social networking platforms.
Case Studies: VIVO at Colorado, Brown, Duke, and Weill Cornell Medical College
Tuesday, June 4, 2013 at 11:00amEDT
This second webinar in the VIVO series will highlight VIVO activity at four adopting institutions – the University of Colorado Boulder, Brown University, Duke University, and Weill Cornell Medical College. Presenters from each institution will show how VIVO has been configured, branded, and extended to meet local needs, and then briefly describe the teams implementing VIVO, VIVO's fit with other tools and services in their institutional setting, and the road map ahead locally and together with the VIVO community.
VIVO Technical Deep Dive
Tuesday, June 11, 2013 at 11:00amEDT
The third and final webinar will focus on technology and participation. We will look under the hood at the semantic technologies underlying VIVO, including the VIVO ontology and how the application architecture uses ontologies for configuration and extensibility. VIVO operates as a community organized around weekly or biweekly open ontology, implementation and development calls, with two significant annual face-to-face events that increasingly bring together a wider research networking community focused on open-source tools, internationally-driven standards efforts, and interoperability through linked open data.