OpenVIVO: Transparency in Scholarship

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.

Is authorship sufficient for today’s collaborative research? A call for contributor roles

“…The CRO was first implemented into the OpenVIVO scholar profile system, which is used to openly track and share information about scholarly contributions in a web-based platform. As noted by Ilik et al "this ontology extends the contributions to scholarship beyond manuscript authorship to capture the broadening of researchers' participation in scientific discoveries that have not been previously recognized by traditional measures of scholarly impact" (Ilik et al 2018). The work done included reviewing existing scholarly contribution taxonomies and exploring ways to extend the CRediT taxonomy to create a prototype contributorship model that covers a wide selection of fields of research.…”

Tenzing: documenting contributorship using CRediT

“…An ontology of roles that is both broader than those of CRediT and also more specific has been developed by the National Center for Data to Health, an initiative of the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (Vasilevsky et al, 2020). The scheme is called the Contributor Role Ontology (CRO, https://data2health.github.io/contributor-roleontology/), and it extends the CRediT ontology to include more than fifty roles, including "specimen collection", "librarian", "community engagement", "coordination", and "software testing" (https://www.force11.org/blog/introducing-contribution-role-ontology-developingsustainable-community-driven-approach; Vasilevsky et al, 2020;Ilik et al, 2018). Given the adoption of CRediT that has already occurred, we anticipate that improvements will occur via extensions or generalizations such as CRO.…”

Proper Attribution for Curation and Maintenance of Research Collections: Metadata Recommendations of the RDA/TDWG Working Group

“…One strategy for elevating the academic value of curatorial actions is to create the necessary infrastructure that captures the breadth of activities undertaken by curatorial staff. Several programs exist for aggregating metrics for research products other than publications, such as ImpactStory (Priem and Piwowar, 2012), OpenVIVO (Ilik et al, 2018), Bloodhound 1 , and Altmetric. Thus, there is already infrastructure in place for aggregating these data, if the e-infrastructure for creation of these data is available.…”