![Software reads VIVO RDF and displaysprocessOrg<-function(uri){ x<-xmlParse(uri) u<-NULL name<-xmlValue(getNodeSet(x,"//rdfs:label")[[1]]) subs<-getNodeSet(x,"//j.1:hasSubOrganization") if(length(subs)==0) list(name=name,subs=NULL) else { for(i in 1:length(subs)){ sub.uri<-getURI(xmlAttrs(subs[[i]])["resource"]) u<-c(u,processOrg(sub.uri)) } list(name=name,subs=u) }}VIVO produces both HTML and RDF](https://image.slidesharecdn.com/conlonmichael9-14-110915222319-phpapp01/85/5-pln-1520-Conlon-33-320.jpg)
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- 1. VIVO: Data, Tools and Community for Research Discovery
- 2. Learned a field, learned the scientific method, did science
- 4. But then …
- 6. PubMed adds 700,000 articles each year
- 7. The Problems Got Hard
- 8. Data Got Big (IDR Slide)
- 9. Lots of Competitors2010 Shanghai ranking of world universitieshttp://en.wikipedia.org/wiki/Academic_Ranking_of_World_Universities
- 11. How do we respond?
- 13. The FANTOM Consortium & Riken Omics Science Center, The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line Nature Genetics41, 553 - 562 (2009)
- 14. Clinical Trial
- 15. Collaboration
- 17. Mentoring
- 18. How can we know what is going on, build teams, solve problems?
- 21. … And the connections between them
- 22. How can we create a world platform for research discovery?
- 23. Data
- 24. Tools
- 25. Community
- 26. VIVO: Data, Tools and Community
- 27. VIVO is open standards and open linked data regarding science – people, papers/products, funding, events/presentations, resources, projects/studies, data, concepts – and the relationships between themVIVO is open source, community maintained software tools for research discovery and networkingVIVO is a world community of collaborators – scientists, implementers, developers
- 28. Ontology Process
- 29. Harvesting Data
- 30. Simple tools for presentation, traversal, search
- 31. Tools using linked open data
- 32. ScienceMap. Examine collections of publications for individuals, work groups, institutions
- 33. Software reads VIVO RDF and displaysprocessOrg<-function(uri){ x<-xmlParse(uri) u<-NULL name<-xmlValue(getNodeSet(x,"//rdfs:label")[[1]]) subs<-getNodeSet(x,"//j.1:hasSubOrganization") if(length(subs)==0) list(name=name,subs=NULL) else { for(i in 1:length(subs)){ sub.uri<-getURI(xmlAttrs(subs[[i]])["resource"]) u<-c(u,processOrg(sub.uri)) } list(name=name,subs=u) }}VIVO produces both HTML and RDF
- 34. Augmenting data
- 35. VIVO Searchlight
- 36. Inter-institutional Collaboration ExplorerThis figure at right displays “collaborative publications” found at 2 or more Researcher Networking websites. The idea that institutions don't work together and that biomedical research is conducted in silos is not true. Researchers, even when separated by great distances, are in fact willing to work together, and this visualization demonstrates that they often do. Contact: Nick Benik (nbenik@gmail.com), Harvard Medical School, Boston, MA. URL: http://xcite.hackerceo.org/VIVOviz
- 37. CTSAs
- 38. USDAUSDA
- 39. APA
- 40. China
- 42. How can you get involved?Join us at http://vivoweb.org
- 43. Photo Credits2. Jackson Laboratory scientist wins Shaw Prize, "Nobel of the East“ (1960) http://www.jax.org/news/images/pressimages/300dpi_images/coleman/coleman1960.jpg3. Biochemistry at Stanford. From the Stanford Biochemistry web site. 5. Francis Collins. From the NIH web site.7. Courtesy of UF Health Science Center News and Communications14. http://apod.nasa.gov/apod/ap080225.html17. Institut Pasteur Korea Conducts Special 'IPK Life Science Mentoring' Program . http://ip-korea.org20. Courtesy of Weill Cornell Medical College21. Figure by M. Conlon24. Bruckner Building Supply web site. http://brucknernyc.com/our-products/in-the-yard/25. First annual VIVO Conference. https://picasaweb.google.com/110849244647388519713/FirstAnnualVIVONationalConference2010?authkey=Gv1sRgCP6K8LDBpOrKLg#551275718424189315438. Abraham Lincoln Building of the Unites States Agricultural Library. http://en.wikipedia.org/wiki/File:United_States_National_Agricultural_Library.jpg40. VIVO map by M. Conlon41. Second annual VIVO conference. Photographs by M. Conlon42. The VIVO team outside the Gaylord during the great DC quake of 2011. 8/22/2011. Photograph courtesy of Michelle Issing.
Editor's Notes
- #3: Learned a field, learned the scientific methods, did science, wrote papers
- #4: Science and scientists. Biochemistry at Stanford. They look happy.
- #6: The body of knowledge got bigger. And its about to get much bigger. Personalized medicine. Full base pair sequencing.
- #8: The problems got difficult. We work to cure cancer. 60 comprehensive cancer centers. Risk factors, genetics, surgical procedures, radiology, chemotherapy, life style changes.
- #9: Data got big. Terabytes, Petabytes, Exabytes.
- #10: Lots of competitors.
- #11: Internet speed
- #13: Study science itself. Science of Team Science. Who publishes with who? Who is funded with who? What teams produce innovations? What teams struggle? Why?
- #14: Build teams
- #15: Build big things
- #16: Collaboration – the sciences fit together to advance human health. But that’s just one science domain
- #17: Implementation research. Changing medical practice. Operations research, medical economics, medical anthropology, epidemiology, biostatistics, health services research, health outcomes policy, and a medical discipline undergoing change.
- #18: Mentoring. Teach, shape, lead, build. While retaining the joy and excitement of science.
- #20: Research Discovery. What is going on? Where? By Whom?
- #21: People, Events, Resources, Projects, Funding, Datasets, Concepts, Papers
- #22: And the connections between them. Many kinds of connections between each type of object. Objects have significant complexity. What do we mean by “project” – a human subject study? A clinical trial?
- #24: We are going to need data. Linked open data on the semantic web. Some exists. Much to be created. From systems built to support operations, to systems built to support sharing.
- #25: We are going to need tools. Tools for collecting, cleaning, identifying, representing, and giving away data.
- #26: We are going to need a community of people who share a common interest in research discovery.
- #27: So that’s what we are doing. In 2009, as part of the ARRA, the NIH funded VIVO: Enabling National Networking of Scientists. Seven schools came together – Florida, Cornell, Indiana, Weill, Wash U, Scripps, Ponce – to expand on pilot work done at Cornell.
- #28: What is VIVO?
- #29: A fragment of the VIVO ontology. Open ontology process. Working group. W3C proposed standard. Plug-in ontologies (BIBO, SKOS, FOAF) support local extension
- #30: And then we harvest data. Using the VIVO Harvester, develop scripts and templates for gathering data from source systems – people, pubs, grants, photos, courses taught. Automated ingest to spreadsheet upload. Google Refine for improvements in data quality and matching objects with disparate identification schemes.
- #31: So here’s the simple view – a faculty profile. Assembled by machines. Can be finished off by the faculty member. All links are to other objects in the semantic web. Positions, visualizations, organizations, people, web sites. Navigation via search, facets, link traversal. Note the RDF link for techno guys.
- #32: Co-author network. Visualizations for time, geography, concept, person linkages. Co-funded visualization as we saw before, not hand drawn, but machine drawn and available to everyone in an instant.
- #34: The open architecture of VIVO and linked data supports development of applications outside VIVO that consume VIVO data. VIVO data is accessible via HTML (for humans) and RDF (for machines). Simple software can process the RDF resulting in powerful cross-site applications. The figure depicts the organization of the University of Florida.
- #35: Vivosearch (beta) indexes vivo sites and provides faceted search across the collection with linking to individual objects
- #36: VIVO searchlight. For any page on the web, find people whose work is similar to a page you are reading.
- #37: Harvard developed inter institutional collaboration explorer. An outgrowth of the VIVO Hackathon. So back to data, who will adopt VIVO and provide VIVO ontology RDF-compliant data?
- #38: The CTSA Consortium. 60 of the top biomedical research institutions in the United States
- #39: US Department of Agriculture. 40,000 intramural scientists, 80,000 staff. 50 land grant universities.
- #40: The American Psychological Association. 154,000 members, the largest scholarly association in the United States.
- #41: International partners. China, Australia, Mexico, Costa Rica, Puerto Rico, Netherlands, UK, Russia, Iceland, Thailand, India
- #42: Getting together face to face. The second annual VIVO conference was held in DC. Also workshop, hackathon, implementation fest.
- #43: How can you get involved