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VIVO (software)

From Wikipedia, the free encyclopedia

VIVO is a web-based, open-source suite of computer software for managing data about researchers, scientists, and faculty members. VIVO uses Semantic Web techniques to represent people and their work. As of 2020, it is used by dozens of universities and the United States Department of Agriculture.[1]

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Transcription

History

The Cornell University Library originally created VIVO in 2003 as a "virtual life sciences community".[2] In 2009, the National Institutes of Health awarded a $12.2 million grant to University of Florida, Cornell University, Indiana University, Ponce School of Medicine, The Scripps Research Institute, Washington University in St. Louis, and Weill Cornell Medical College to expand the tool for use outside of Cornell.[3]

Data ingest

VIVO can harvest publication data from PubMed, CSV files, relational databases, or OAI-PMH harvest. It then uses a semi-automated process to match publications to researchers.[4] It also harvests information about researchers from Human Resources systems and student information systems.[5]

Ontology

The VIVO ontology incorporates elements of several established ontologies, including Dublin Core, Basic Formal Ontology, Bibliographic Ontology, FOAF, and SKOS. The ontology can be used to describe several roles of faculty members, including research, teaching, and service.[6]

The Dutch Data Archiving and Networked Services and Indiana University worked to develop the ontology to enable bilingual modeling of researchers.[7]

References

  1. ^ "VIVO". vivoweb.org. Retrieved 21 January 2020.
  2. ^ Devare, Medha; Corson-Rikert, Jon; Caruso, Brian; Lowe, Brian; Chiang, Kathy; McCue, Janet (2007). "VIVO: Connecting People, Creating a Virtual Life Sciences Community". D-Lib Magazine. 13 (7/8). doi:10.1045/july2007-devare. Retrieved 21 January 2020.
  3. ^ García-Milian, Rolando; Norton, Hannah F.; Auten, Beth; Davis, Valrie I.; Holmes, Kristi L.; Johnson, Margeaux; Tennant, Michele R. (April 2013). "Librarians as Part of Cross-Disciplinary, Multi-institutional Team Projects: Experiences from the VIVO Collaboration". Science & Technology Libraries. 32 (2): 160–175. doi:10.1080/0194262X.2013.791183. PMC 3700548. PMID 23833333.
  4. ^ Barnes, Chris; Williams, Stephen; Sposato, Vincent; Skaggs, Nicholas; Raum, Narayan; Corson-Rikert, Jon; Caruso, Brian; Blake, Jim (2012). "Extending VIVO". In Börner, Katy; Conlon, Michael; Corson-Rikert, Jon; Ding, Ying (eds.). VIVO : a semantic approach to scholarly networking and discovery. [San Rafael, Calif.]: Morgan & Claypool. ISBN 9781608459933.
  5. ^ "About VIVO". vivoweb.org. Retrieved 21 January 2020.
  6. ^ Ding, Ying; Mitchell, Stella; Corson-Rikert, Jon; Lowe, Brian; He, Bing (2011). The VIVO Ontology: Enabling Networking of Scientists (PDF). Retrieved 21 January 2020.
  7. ^ Chambers, Tamy; Shah, Sahil; Urankar, Ashish; Kalyan, Venkat; Scharnhorst, Andrea; Reijnhoudt, Linda; Rideour, Laura; Guéret, Christophe; Ding, Ying (2013). "Bilingual researcher profiles: Modeling Dutch researchers in both English and Dutch using the VIVO ontology". Proceedings of the American Society for Information Science and Technology. 50 (1): 1–4. doi:10.1002/meet.14505001137.
This page was last edited on 16 May 2023, at 01:46
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