140 likes | 331 Views
VIVO at Brown. October 2012. What is VIVO?. VIVO is an open source semantic web application that enables the discovery of research and scholarship across disciplines at a particular institution and across institutions.
E N D
VIVO at Brown October 2012
What is VIVO? VIVO is an open source semantic web application that enables the discovery of research and scholarship across disciplines at a particular institution and across institutions. VIVO is populated with detailed profiles of faculty and researchers including publications, appointments, grants, service, and professional affiliations.
Background • VIVO developed at Cornell in 2003 • NIH Grant ($12.2 million) to federate VIVO • Cornell, Cornell Weill Medical, Indiana, U Florida, Washington University St Louis, Scripps Research Institute, Ponce Medical School • DuraSpace • Not-for-profit support for open technologies: Dspace, DuraCloud (digital preservation) • ~100 institutions worldwide • VIVO doesn’tstand for anything
Under the Hood • Semantic Web technology • Web of Documents vs Web of Data; linked open data (LOD) • W3C's Resource Description Framework (RDF) • Linked Open Data Cloud
What’s in VIVO • People • Faculty member, postdoc, graduate student, non-faculty academic, … • Organizations • Academic department, funding agency, laboratory, publisher, … • Research • Academic article, award or honor, human study, film, thesis, protocol, … • Events • Conference, exhibit, invited talk, performance, …
VIVO Features Visualizations Inter-institutional searchlinked data requests of VIVO and/or Harvard Profiles at 8 different sites CV/Biosketch output VIVO searchlight
Brown VIVO: Decision • DRR-B replacement search began early 2010 • Sponsors: OVPR, DOF, BioMed, Library, CIS • Funding for VIVO approved by Provost March 2012 • Outsource structuring of faculty CVs • Position: Semantic Web Programmer
Brown VIVO: Sponsor Roles • OVPR • VIVO replaces DRR-B ; Individual DRR-B profiles available until replaced by VIVO profiles • DOF: • VIVO replaces annual CV submission process • Library: • software installation and maintenance; data ingestion and output; programming; customization • CIS: • server infrastructure, project management
Brown VIVO: Methodology Faculty CVs in Word or PDF converted to structured data by bibliographic services vendor Data structures mapped to VIVO ontologies Data converted to RDFand ingested into VIVO Sparql queries create RDF graphs (relationships)
Brown VIVO: Phase One Timeline • October 2012: CV data ingested into VIVO • November 15, 2012: • Mechanism for faculty to approve VIVO profiles is in place • Brown branding/customization • November 15 – January: • Faculty update and approve VIVO profile • Approved profiles become public • Updated CVs output to DOF/BioMed for approved profiles • DRR-B profiles redirected to live VIVO profiles
Brown VIVO: Phase Two Timeline • Spring 2013 - • ~800 Hospital-based faculty CVs converted to structured data, and ingested into VIVO • Post-docs, graduate students able to manually populate profiles • DRR-B no longer updated but maintained until all faculty represented in VIVO • Brown VIVO data available for querying, harvesting, reporting • Biosketch/CV output available
Contacts Gillian Bell, Project Manager, CIS gillian_bell@brown.edu Jean Rainwater, Head Integrated Technology Services, Libraryjean_rainwater@brown.edu Andrew Ashton, Director, Digital Technologies, Libraryandrew_ashton@brown.edu