This is the slidedeck for my ACRL 2015 TechConnect Presentation with Nicole Vasilevsky (OHSU). For more on the program see - <a>http://bit.ly/1xcQbCr</a>.
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO Semantic Data Tools in Action
1. Creating Sustainable Communities in
Open Data Resources:
The eagle-i and VIVO Semantic Data
Tools in Action
Robert H. McDonald | Indiana University | @mcdonald
Nicole Vasilevsky | Oregon Health & Science University | @N_Vasilevsky
2. Outline
1 | History of eagle-i Network
2 | Basic features & functionality
www.eagle-i.net
http://bit.ly/1BIyrKM
3. Help researchers find
scientific resources more
easily
Reduce time-consuming and
expensive duplication of
resources
The eagle-i Resource Discovery
Network
www.eagle-i.net
4. Need a way to
publish resource
information
Open Information Publishing Platform
– allows institutions complete autonomy over their
resource data
– supports multiple publishing formats
Common problems &
The eagle-i approach
No common way to
describe resources
Ontology Driven Platform
– Drives consistency of description
– Allows easy updating of information to
accommodate dynamic information
Need a way to search
all published
resources
Federated Search Network
– Allows annotated information to be easily read
and re-used by other websites and applications
Common Problem eagle-i Solution
7. Adding meaningful semantic
relationships between resources
Making this data available using
ontology-driven approach to research
resource annotation and discovery
eagle-i Resource Ontology
8. eagle-i is an ontology-driven application . . . for collecting
and searching research resources.
VIVO is an ontology-driven application . . . for collecting
and displaying information about people.
eagle-i
Resources
VIVO
People
Merging VIVO and eagle-i semantic
infrastructure
9. eagle-i is an ontology-driven application . . . for collecting
and searching research resources.
VIVO is an ontology-driven application . . . for collecting
and displaying information about people.
CTSAconnect will produce a single Integrated Semantic
Framework, a modular collection of ontologies
VIVO
Semantic
Clinical
activities
Merging VIVO and eagle-i semantic
infrastructure
eagle-i
10. Outline
1 | History of VIVO
2 | Basic features & functionality
http://bit.ly/1BIyrKM
11. What is VIVO?
1. An open source
semantic web
application
2. An information model
3. An open community
12. 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
13. 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.
15. Duke University
• PLATFORM: VIVO
• DATA: a variety of sources
– REACH NC – Scopus data
– Symplectic Elements
16. Data, Tools and Scientists
http://vivosearch.org/
http://vivosearchlight.org/
http://vivo.cns.iu.edu/gallery.html
17. What roles can the library play?
Librarians are successfully stepping up to the semantic
web plate in a variety of roles related to institutional
research networking platforms.
• Institutional profiling of researcher/faculty/staff expertise
• Ability to search for researcher expertise across federated
networks for creating cross-institutional granting opportunities
• Assist researchers with sharing research resources to promote
efficient and open science
• Ontology and controlled vocabulary expertise, extending the
model to people, places, publications, data etc.
• …and more!
Research networking also provides an opportunity for
libraries to become familiar with many concepts around
linked open data and the semantic web.
20. Acknowledgements
OHSU
Melissa Haendel
Shahim Essaid
Matthew Brush
Harvard
Doug MacFadden
Daniela Bourges
Bhanu Bahll
Sophia Cheng
Richard Pearse
Tenille Johnson
Marc Ciriello
VIVO Steering Group
• Paul Albert (Weill Cornell Medical
College)
• Jon Corson-Rikert (Cornell University)
• Kristi Holmes (Northwestern
University)
• Melissa Haendel (Oregon Health and
Science University)
• Dean Blackmar Krafft, Chair (Cornell
University)
• Robert H. McDonald (Indiana
University)
• Mike Conlon, Project Director
(University of Florida)
• And many, many, many, others
net w o r k
Currently there are 40 academic and not-for-profit organizations that are part of the eagle-I network. It started with an initial 9 institutions and continues to grow each year.
VIVO enables collaboration and understanding across an institution and among institutions
VIVO harvests much of its data automatically from verified sources so it is accurate and current, reducing the need for manual input.
The rich information in VIVO profiles can be repurposed and shared with other institutional web pages and consumers, reducing cost and increasing efficiencies across the institution.
Data is housed and maintained at the local institutions. There it can be updated on a regular basis.
Search results are faceted so information can be located rapidly and with less time spent sorting through information.
Profiles are largely created via automated data feeds, but can be customized to suit the needs of the individual.
Profiles are richer in content than typical [web pages or] social networking sites and will rank higher in general internet searches.
Across institutions VIVO provides a uniform semantic structure to enable a new class of tools using the data to advance science. …..visualizations, search, discovery, etc
Each institution provides its own VIVO system and data. Local governance determines data to be provided.
VIVO structures data in RDF triples using the VIVO ontology. Moreover, the recommendations state that as a general principle the profile data should be publically available as Linked Open Data. This announcement demonstrates the CTSA Consortium’s recognition of the value of semantic web standards and increasing momentum in support of semantic web technologies to facilitate research discovery. Examples of applications which consume these rich data, including: visualizations (Katy’s viz URL), enhanced multi-site search (VIVO search URL), and VIVO Searchlight (searchlight URL). Other utilities are in development across a wide range of functionalities.
Profiles are largely created via automated data feeds, but can be customized to suit the needs of the individual.
Information is open source (free) and is stored in a framework that allows for exporting to other applications.
Profiles are richer in content than typical [web pages or] social networking sites and will rank higher in general internet searches.
Data is reused and repurposed in a wide array of tools and settings.
Cornell University has done a stellar job of this – using VIVO data to provide current information about faculty and their interests for department and college websites; University of Florida reuses data from their VIVO for their CTSI member database – a move that other institutions are making, as well.
eagle-I is an open-source software application that integrates information about research resources at participating institutions. The tool is hosted online, is freely available and allows searching across a federated network.