Post on 20-Aug-2015
A BIRD’S-EYE VIEW OF SCHOLARSHIP AT THE INDIVIDUAL, INSTITUTION-WIDE, AND GLOBAL LEVELS
Kristi L. Holmes, PhD VIVO - @VIVOcollab March 10, 2014
Current challenges
• Research is increasingly more interdisciplinary • How can you find collaborators, track competitors, and stay abreast of current
research inside large institutions, at other institutions, and globally? • How can you find others with shared interests or expertise? • How can you build diverse teams? Find mentors? Be identified as a partner
by community groups?
Faculty
• Library administration or directors of core facilities want to align their strategic plan with the evolving research needs of their clientele.
• Identifying growth areas of research through increasing publications, focused areas of research and grant dollars enables this task to become more evidence-based.
Support: facilities and personnel
• Research institutions can be extremely large and diverse • How can administrators showcase and monitor research activity, track
competitors, and stay abreast of current research inside large institutions, at other institutions, and globally?
• How can you enhance visibility and present a unified picture of an institution?
Administrators
Building a web of data
Data Creators, Data Aggregators, & Data
Consumers
Repositories. Tools. Applications. Workflows
Research Networking Information about scholars is optimized using a Web-based
infrastructure of standards and technologies which allows for a distributable, machine readable description of data that allows for
stronger data and smart web application linkages across many universities, agencies, societies around the world.
Why is this important? Linked data infrastructure allows for • Visualizations, research and clinical data integration,
and deep semantic searching across multiple types and sources of data
• By breaking data out of traditional database silos, research networking platforms promote a network effect within a single site and across multiple sites
– The value of the network increases with the amount of linked data and applications that are available to consume the linked data.
What is VIVO? 1. Software: An open-source semantic-web-based
researcher and research discovery tool 2. Data: Institution-wide, publicly-visible information about
research and researchers 3. Standards: A standard ontology (VIVO data) that
interconnects researchers, communities, and campuses using Linked Open Data
4. Community: An open community with strong national and international participation
The VIVO/Vitro Software • Ingest tools – getting batch data in • Ontology editing tools – change what is being described
and represented • Instance editing tools – Edit instances of any of the things
represented in the ontology (people, publications, organizations, etc.)
• Template/display system – Display instances and sets in a useful way
Software Release History • 0.9 – Jan 2010 – 1st multi-institutional development
release • 1.0 – April 2010 – Feature complete release • 1.1 – July 2010 – Visualizations, ontology • 1.2 – Feb 2011 – Templating, storage model • 1.3 – July 2011 – Search, authorization • 1.4 – Dec 2011 – Proxy editing, external vocab. • 1.5 – July 2012 – Extensibility, OpenSocial
Latest 1.6 Release – Dec. 2013 • VIVO-ISF ontology • Web service for the RDF API • Multi-language support and repository • HTTP caching headers • Search indexing • Landing page improvements
• Highlighted content • Geographic research focus map
• Developer tools
VIVO An open-source semantic web application that enables the discovery of research and scholarship across disciplines in an institution.
VIVO harvests data from verified sources and offers detailed profiles of faculty and researchers.
Public, structured linked data about investigators interests, activities and accomplishments, and tools to use that data to advance science.
VIVO enjoys a robust open community space to support implementation, adoption, &development efforts around the world. See http://wiki.duraspace.org/display/VIVO
Data is available for reuse by web pages, applications, and other consumers both within and outside the institution.
Data stored as RDF triples using standard ontology
Internal data sources (I): • HR Directory • Office of Sponsored Research • Institutional Repositories • Registrar System • Faculty Activity Systems • Events and Seminars • Courses
External data sources (I): • Publication warehouses-
e.g. PubMed, Scopus, and Web of Science.
• Funding databases: e.g. NSF/ NIH
• National Organization data: AAAS, AMA, etc.
• ORCID data exchange
Faculty and unit administrators can add additional information
to their profile. (M)
A bit more about data in the RN systems…
A VIVO profile allows you to:
Showcase credentials, expertise, skills, and professional achievements for individuals and campus groups.
Connect within focus areas and geographic expertise.
Simplify reporting tasks and link data to external applications – e.g., to generate biosketches or CV or for reporting purposes.
Publish the URL or link the profile to other applications.
Discover potential colleagues or campus resources by work area, authorship, & collaborations.
Display visualizations of expertise areas or complex collaboration networks and relationships.
Why is VIVO data important? • It is the only standard way to exchange information about
research and researchers across diverse institutions • It provides authoritative data from institutional databases
of record as Linked Open Data • Structured VIVO data supports search, analysis and
visualization across institutions and consortia • The ontology is highly flexible and extensible to cover
research resources, facilities, datasets, and more
VIVO Normalizes Complex Inputs
People
Grants
Data
Google Scholar
Center/ Dept/
Program websites
Research Facilities
& Services
Courses
Tech transfer
Publications
VP Research Univ.
Communications
HPC
HR data
Faculty Reporting
Grad School
Pubmed
Cross Ref
Researcher.gov
arXiv
other databases
NIH RePorter
Self-editing
Other campuses
Compatible with VIVO-ISF • Harvard Profiles – Biomedical focus, with over 40
installations • VIVO – University focus, all disciplines, at least 70
installations in progress • Loki – Univ. of Iowa, home of CTSAsearch • SciVal Experts with VIVO extension module, Elsevier is a
VIVO Corporate Founding Sponsor
VIVO search scenarios • Multiple campuses of one university • Regional connections
• e.g., Illinois ties with regional federal labs
• Consortia – 60 CTSAs, USDA plus land grant universities
• International • 13 Netherlands universities and the National Library • German Universities
• AgriVIVO – UN FAO
VIVO Community https://wiki.duraspace.org/display/VIVO • DuraSpace wiki • Calls and listservs
• Ontology • Development • Implementation • Outreach • Tools and Apps
• Social Media • Facebook • LinkedIn • Twitter
• Events • Annual conference • Implementation Fest • Workshops • Hackathons
Getting Involved with VIVO • VIVO implementation Fest March 19-20 • VIVO Hackathon March 18 • Regular working group calls • Listservs • Meetups at other events like CNI, Force 11 • Advocacy for open standards and persistent identifiers • Related DuraSpace and Hydra initiatives • Annual VIVO conference
VIVO working groups Working Group Lead Co-Lead Apps & Tools Chris Barnes, University
of Florida Ted Lawless, Brown University
Implementation Alex Viggio, Digital Science
Paul Albert, Weill Cornell Medical College
Engagement Kristi Holmes, Washington University in St. Louis
Julia Trimmer, Duke University
Ontology Melissa Haendel, Oregon Health & Science University
Brian Lowe, Cornell
Development Jon Corson-Rikert, Cornell
Jim Blake, Cornell
New: Catalog of tools & maintainers at https://wiki.duraspace.org/x/xusQAg
Getting Involved with VIVO