Your institution is free to participate by installing and using VIVO. Download the software from GitHub. You can also get involved with developing applications that provide enhanced search, new collaboration capabilities, grouping, finding and mapping scientists and their work. You can financially support the project by becoming a member of Duraspace.
Please subscribe to one of our mailing lists email@example.com firstname.lastname@example.org email@example.com to receive information about the project.
It is best to post questions to one of our mailing lists: firstname.lastname@example.org or email@example.com
Information is imported in the system from verified sources such as human resources, grant databases, course listings, and faculty activity information. Data may also be entered or customized manually by the individual user or the user's proxy. VIVO then makes this information available for browse and search capabilities as well as export to other web pages and outside sources.
Individuals may access the browse and search functionalities of VIVO at any time via the web. Researchers, scholars, students, administrators, funding agencies, donors, and members of the general public may all benefit from utilizing VIVO.
VIVO facilitates the process of finding research collaborators or sources of specified skills and information. The integrated system promotes the kind of cross-disciplinary collaborations that are becoming more vital in the current research environment.
Most of the current networking platforms depend on manual input of information by users while VIVO is automatically populated with data from verified sources. VIVO's data collection methodology uses controlled vocabulary in order to standardize the information and make it easier to locate, retrieve and share. The system provides data in a consistent format that is readable by people and computer applications.
VIVO is a semantic web application coupled with an ontology editor. It uses the Resource Description Framework (RDF) and supports customizable browsing. Information in VIVO is stored as "triples" of the form subject-predicate-object; for example, John Doe (subject) - is author of (predicate) - "The Effect of Video Games on Kids" (object). With VIVO, you can create and load ontologies, edit relationships, build a public web site to display data, and search it using the built-in search engine.
VIVO is not a system of record although some parts of a user's profile may represent the sole source of particular information such as short bio statements, research interests, or geographic areas of focus.
VIVO supports many researcher identifiers and is easily extended to accommodate new ones. In particular, VIVO supports ORCiD.
VIVO provides multiple means for interacting with other software. It's data is accessible via content negotiation, and via VIVO APIs. The data is easily unloaded and reloaded to other triple stores and transformed to other systems.
VIVO should contain only public data pertaining to research and scholarship activities. No sensitive information should be stored in VIVO.