OpenVIVO: Transparency in Scholarship

Violeta Ilik*, Michael Conlon, Graham Triggs, Marijane White, Muhammad Javed, Matthew Brush, Karen E Gutzman, Shahim Essaid, Paul Friedman, Simon Porter, Martin Szomszor, Melissa Anne Haendel, David Eichmann, Kristi L. Holmes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

OpenVIVO is a free and open-hosted semantic web platform that anyone can join and that gathers and shares open data about scholarship in the world. OpenVIVO, based on the VIVO open-source platform, provides transparent access to data about the scholarly work of its participants. OpenVIVO demonstrates the use of persistent identifiers, the automatic real-time ingest of scholarly ecosystem metadata, the use of VIVO-ISF and related ontologies, the attribution of work, and the publication and reuse of data—all critical components of presenting, preserving, and tracking scholarship. The system was created by a cross-institutional team over the course of 3 months. The team created and used RDF models for research organizations in the world based on Digital Science GRID data, for academic journals based on data from CrossRef and the US National Library of Medicine, and created a new model for attribution of scholarly work. All models, data, and software are available in open repositories.

Original languageEnglish (US)
Article number12
JournalFrontiers in Research Metrics and Analytics
Volume2
DOIs
StatePublished - 2017

Funding

The authors would like to acknowledge Ted Lawless, Jim Blake, John Serafin, Alexandre Rademaker for their work on this project. Funding. Research reported in this publication was supported, in part, by the National Institutes of Health\u2019s National Center for Advancing Translational Sciences, Grant Number UL1TR001422 and Grant Number 3UL1TR000128-10S1 and by the National Institute of General Medical Sciences, Grant Number 3R25GM114820-02S1. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Funding. Research reported in this publication was supported, in part, by the National Institutes of Health\u2019s National Center for Advancing Translational Sciences, Grant Number UL1TR001422 and Grant Number 3UL1TR000128-10S1 and by the National Institute of General Medical Sciences, Grant Number 3R25GM114820-02S1. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Keywords

  • contribution role ontology
  • data sharing
  • GRID
  • ORCID
  • scholarly ecosystem
  • semantic web
  • transparency
  • VIVO

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Library and Information Sciences

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