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Summary VIVO [Pronunciation: vee-voh] is member-supported, enterprise open source software and an ontology for representing scholarship. VIVO supports recording, editing, searching, browsing and visualizing scholarly activity. VIVO encourages research discovery, expert finding, network analysis and assessment of research impact. VIVO is easily extended to support additional domains of scholarly activity. VIVO uses an ontology to represent people, papers, grants, projects, datasets, resources, and other elements of research and scholarship as linked open data. The ontology can be used to create RDF that can be loaded into VIVO. VIVO RDF data is easily exported for use in other applications. VIVO includes Vitro, a domain-free engine for managing linked open data, the JFact reasoner, SolR for search, SPARQL query, Jena as a triple store, supporting both TDB and SDB on MySQL, uses D3 for visualizations, and provides multiple APIs, including Triple Pattern Fragments for rapid remote access to specified data. Using VIVO, organizations can represent the activities and accomplishments of their scholars as linked open data, and share that data with others. Acknowledgements The authors wish to acknowledge the foundational work done on VIVO, and VIVO concepts by the team at the Mann Agricultural Library, Cornell University, led by Jon Corson-Rikert. The authors also wish to acknowledge NIH grant 1U24RR029822-01 to the first author, which funded the work of more than 120 co-investigators in the further development of the VIVO software, and NIH grant xxxxxxx to Dr. Melissa Haendel of Oregon Health Science University which funded significant advances in the VIVO Integrated Semantic Framework, which VIVO uses to represent scholarship. Finally, the authors wish to acknowledge the many hundreds of members of the VIVO community around the world, who volunteer their time and effort to advance the art of representing scholarship as linked open data. The work described here builds on the work of many others.
semantic web, research discovery, data sharing, ontology, researcher profiles
semantic web, research discovery, data sharing, ontology, researcher profiles
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 29 | |
| downloads | 2 |

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