Alamw15 VIVO
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Feb 1, 2015 @VIVOcollab presentation at #alamw15 in #lddig session
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Alamw15 VIVO
- 1. OPENING UP SCIENCE WITH VIVO Kristi L. Holmes, PhD @kristiholmes @vivocollab GALTER LIBRARY
- 2. Let’s talk about the data… The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other related data.
- 3. http://www.slate.com/ Images and data from http://en.wikipedia.org Detailed Data Relationships Minnesota Vikings Chicago Bears John Fox NFC Northern Division Saturday Night Live has head coach head coach of team colors of has membership in has team colors organization with membership for features featured in organization with membership for has membership in is skit on has skit Connections among concepts illustrated Current and accurate data revealed Inverse relationships are created has team colors Denver Broncos team colors of Bill Swerski’s Superfans has recurring acting role in skit skit with recurring acting role for Robert Smigel Mike Meyers George Wendt John Goodman Chris Farley has featured acting role Featured acting role for Mike Ditka Michael Jordan navy, orange, white had head coach head coach of
- 4. Let’s think about why this is important on the institutional level…
- 5. 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
- 6. 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 both within the US and abroad. 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.
- 7. What is VIVO? 1. An open source semantic web application 2. An information model 3. An open community
- 8. What is VIVO? 1. An open source semantic web application 2. An information model 3. An open community
- 9. 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
- 10. 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.
- 12. What is VIVO? 1. An open source semantic web application 2. An information model 3. An open community
- 13. CTSA: Recommendations and Best Practices for Research Networking The Research Networking Recommendations were approved by the CTSA Consortium Executive and Steering Committee on October 25, 2011. Recommendations for Research Networking: • Recommendation: All CTSAs should encourage their institution(s) to implement research networking tool(s) institution-wide that utilize RDF triples and an ontology compatible with the VIVO ontology. • Recommendation: Information in people profiles at institutions should be publicly available as data as a general principle, specifically as Linked Open Data. To ensure quality of information, authoritative electronic data sources versus manual entry should be emphasized. Institutions will vary in the amount of information that they will include and make publicly available but the value is enhanced by the quality and quantity of information. • Recommendation: Monitoring of the research networking landscape, technology, and tools should continue to be overseen by experts from the CTSA consortium (e.g., the Research Networking group of the Informatics KFC). https://www.ctsacentral.org/recommendations-and-best-practices-research-networking
- 14. Building a large web of data, greater than any one effort Data Creators, Data Aggregators, & Data Consumers Repositories. Tools. Applications. Workflows
- 15. A couple of local examples…
- 16. Brown University • PLATFORM: VIVO • DATA: Faculty CVs in Word or PDF converted to structured data by bibliographic services vendor • Data structures mapped to VIVO ontologies • Data converted to RDF and ingested into VIVO • Sparql queries create RDF graphs (relationships)
- 17. Brown University • PLATFORM: VIVO • DATA: Faculty CVs in Word or PDF converted to structured data by bibliographic services vendor • Data structures mapped to VIVO ontologies • Data converted to RDF and ingested into VIVO • Sparql queries create RDF graphs (relationships)
- 18. Weill Cornell Medical College • PLATFORM: VIVO • DATA: a variety of sources, applied and leveraged in various ways… http://libraryconnect.elsevier.com/articles/technology-content/2013-03/authoritative-researcher-metadata-one-place-vivo
- 19. Weill Cornell Medical College • PLATFORM: VIVO • DATA: a variety of sources, applied and leveraged in various ways… http://libraryconnect.elsevier.com/articles/technology-content/2013-03/authoritative-researcher-metadata-one-place-vivo
- 20. WCMC CTSC’s VIVO data sources http://libraryconnect.elsevier.com/articles/technology-content/2013-03/authoritative-researcher-metadata-one-place-vivo
- 21. WCMC CTSI
- 22. Duke University • PLATFORM: VIVO • DATA: a variety of sources • REACH NC – Scopus data • Symplectic Elements
- 23. Data, Tools and Scientists http://vivosearch.org/ http://vivosearchlight.org/ http://vivo.cns.iu.edu/gallery.html
- 24. VIVO search scenarios • Multiple campuses of one university • Regional connections • e.g., Illinois ties with regional federal labs • Consortia – 62+ CTSAs, USDA plus land grant universities • International • 13 Netherlands universities and the National Library • German Universities • AgriVIVO – UN FAO
- 26. What is VIVO? 1. An open source semantic web application 2. An information model 3. An open community
- 27. VIVO Community • DuraSpace wiki • Calls and listservs • Ontology • Development • Implementation • Outreach • Tools and Apps • Social Media • Facebook • LinkedIn • Twitter • Events • Annual conference • Implementation Fest • Workshops • Hackathons
- 28. VIVO projects around the world https://wiki.duraspace.org/display/VIVO/Sites+implementing+VIVO
- 29. Current and future VIVO efforts
- 30. VIVOs • 120+ impl. & pilot projects • 35+ countries • 15+ CTSAs Standards • CTSAconnect Integrated Semantic Framework ontology • ORCID • CASRAI • others Partners • Symplectic • euroCRIS • W3C, DERI, ConceptWeb Alliance, OpenPHACTS • Institutions/organi zations Events • VIVO conference Aug. 2015 • Spring Implementation Fest @ OHSU • DuraSpace VIVO webinars Community • VIVO wiki • Listservs • Weekly calls • GitHub • vivoweb.org • @VIVOcollab vivoweb.org VIVO Updates
- 31. • Are a trusted, neutral entity • Have a tradition of service and support • Strive to serve all missions of the institution • Are technology centers and have IT and data expertise • Have skills—information organization, instruction, usability, subject expertise • Have close relationships with their clients (buy in) • Understand user needs • Understand the importance of collaboration and know how to bring people together • Have knowledge of institution, research, education, clinical landscape Library Staff: Libraries: What roles can the library play?
- 32. 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. • Outreach and adoption activities • Education and training on the use of the platform • Ontology and controlled vocabulary expertise, extending the model • Negotiations with data providers • Programming, technical support • Workgroup representation • …and more! Research networking also provides an opportunity for libraries to become familiar with many concepts around linked open data and the semantic web.
- 33. Acknowledgements Funding: • Northwestern University Clinical and Translational Sciences Institute, NIH award UL1TR000150 • VIVO, NIH award U24 RR029822 • VIVO/DuraSpace Questions/Follow-up: • kristi.holmes@northwestern.edu • kristi@vivoweb.org • Twitter: @kristiholmes Thanks! GALTER LIBRARY
Editor's Notes
- VIVO enables collaboration and understanding across an institution and among institutions. As research efforts become more interdisciplinary, it can be hard to find collaborators outside your own area of expertise VIVO will help facilitate communication and collaboration NOT ONLY for researchers but also for administrators, librarians, students, faculty, donors, funding agencies, and the public.
- 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.
- There are many beautiful visualizations, developed by Katy Borner’s group at Indiana University. These include co-author and co-investigator networks and even temporal visualizations which allows discovery of grants and publications by defined groups over time within and beyond an institution. Most recently, the visualization team implemented a Science Map visualization, which allows users to visually explore the scientific strengths of a university, school, department, or person in the VIVO instance. Users will be able to see where an organization or person’s interests lay across 13 major scientific disciplines or 554 sub-disciplines, and will be able to see how these disciplines and sub-disciplines interrelate with one another on the map of science.
- VIVO uses linked open data concepts to provide data as RDF at URIs for each scientist. Critically important for building a web of data. Predicates have addresses, sites point to objects in other triples stores. Resolve queries across triple stores – “show investigators who genetic work is implicated in breast cancer.” VIVO won’t have information linkages between breast cancer and disease. Other resources will. But VIVO can link to external sources. “Mike worksOn GeneY” So where does data about Interests, activities and accomplishments come from? Archives. Data Aggregators. Publishers. Institutional repositories. So now we turn to a few specific examples…
- http://libraryconnect.elsevier.com/articles/technology-content/2013-03/authoritative-researcher-metadata-one-place-vivo
- 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.
- IICA
- VIVO chooses to meet these participation challenges with the help of libraries – neutral campus entities that understand their user communities and their research environment. Libraries are increasingly involved in IT decisions Libraries have subject experts. Many librarians who work to support VIVO also provide reference and instructional support to the agricultural sciences, basic sciences, social sciences, and humanities. Librarians have good knowledge of their user communities – they understand what drives their institution’s research environment. Of course, librarians have a strong service ethic and have a long history of providing academic support Facilitate the resolution of data integration issues endemic to legacy data/faculty reporting systems.