DuraSpace and VIVO    DuraSpace Sponsors Webinar           July 23, 2012  Michele Kimpton - DuraSpace Jonathan Markow - Du...
Using the Webinar    Platform• 2-way audio for all  participants is muted• We will utilize the Chat  Window for the Q&A  p...
DuraSpace and VIVO    DuraSpace Sponsors Webinar           July 23, 2012  Michele Kimpton - DuraSpace Jonathan Markow - Du...
Agenda• The DuraSpace Incubator• The VIVO Project• DuraSpace and VIVO – Current Status  and Next Steps• Questions
The DuraSpace Incubator• Uses the Apache and Jasig models as a  starting point• Projects are mentored by DuraSpace• Projec...
DuraSpace Umbrella Services•   Legal                    •   Webinars•   Licensing                •   Education•   Governan...
Advantages to DuraSpace and our          Community• Broader community support• New technologies of interest to  DuraSpace ...
DuraSpace Expectations• Projects must meet incubation criteria  vis-à-vis best practices, licensing, broad  committer supp...
Agenda• The DuraSpace Incubator• The VIVO Project• DuraSpace and VIVO – Current Status  and Next Steps• Questions
VIVO: An Open Source Tool forDescribing and Linking Researchers           and Research        Dean B. Krafft (presenter) a...
University of Florida           Indiana University                                                             VIVO Collab...
What is VIVO?• A semantic-web-based researcher and  research discovery tool  – People plus much more• Institution-wide, pu...
What does VIVO do?• Integrates multiple sources of data  – Systems of record  – Faculty activity reporting  – External sou...
A brief VIVO history2003-2005 First development for the life sciences          at Cornell, as a relational database2006-20...
What does VIVO model?• People, but also organizations, grants, programs,  projects, publications, events, facilities, and ...
Typical data sources• HR and/or directory – people, appointments• Research administration – grants & contracts• Registrar ...
What is a Semantic Web application?• Provides data readable by machines, not just text  for humans• Provides self-describi...
The VIVO ontology• Defines types  – Having individual instances (e.g., persons)• Defines relationships  – Expressed as sta...
Example relationships for a researcher         Mining the record: Historical evidence for…                                ...
Structured data for   visualizations
What is Linked Open Data (LOD)?• Data  – Structured information, not just documents with text  – A common, simple format• ...
An HTTP request can return HTML or data
Linked data indexing for search                            Scripps                            Scripps                     ...
Value for institutions• Common data substrate   – Public, granular and direct   – Discovery via external and internal sear...
Enter once, use many times• Provides normalized public data to a range of  campus applications  – Parameterized, filtered ...
Partnerships – research resources• CTSAconnect   – OHSU, Harvard, Cornell, Florida, Buffalo & Stony     Brook   – eagle-i ...
Partnerships – ORCID• ORCID – Open Researcher and Contributor ID  – Create an identifier for all authors. Attribute    wor...
Partnerships – research data• VIVO/ANDS consortium in Australia  – Link research data with researcher profiles and    publ...
Partnerships – information standards• euroCRIS and the CERIF research data standard   – Linked Open Data task force slated...
Partnerships - APA• The American Psychological Association is using  VIVO as one component of a trusted identity  framewor...
Partnerships - Sakai• Cambridge University is testing VIVO as a  profiling component of the new Sakai Open  Academic Envir...
Institutions Adopting VIVO•   American Psychological Assn.    •   Univ. of Melbourne•   Brown University                • ...
VIVO Conference Corporate Sponsors                 Sponsor    2010   2011      2012AAAS (Science)               XCrossRef ...
VIVO Service Providers• Symplectic Elements – research management tools  supporting repositories and VIVO   – Preliminary ...
Development beyond the VIVO project•   Duke – VIVO widgets•   Indiana – Query builder interface for HUBzero•   Pittsburgh ...
Agenda• The DuraSpace Incubator• The VIVO Project• DuraSpace and VIVO – Planning and  Next Steps• Questions
VIVO Planning•   Roles and Responsibilities•   Governance•   Working groups•   Advisory bodies•   Work objectives and plan...
Roles and Responsibilities• Five part-time VIVO staff positions  identified for operational roles• DuraSpace effort   – St...
•
Costs• Existing DuraSpace staff effort (0.85 FTE  aggregated) – funded by VIVO• Dedicated VIVO staff (0.95 FTE  aggregated...
Revenues•   Grants and contracts•   Hosted services•   Corporate sponsorships•   Registered service providers•   Conferenc...
Next Steps• Joint announcement on intent• VIVO raises funds to support its startup  period• Initial fund-raising success w...
Questions
7-23-12 DuraSpace & VIVO Sponsor Webinar Slides
7-23-12 DuraSpace & VIVO Sponsor Webinar Slides
7-23-12 DuraSpace & VIVO Sponsor Webinar Slides
7-23-12 DuraSpace & VIVO Sponsor Webinar Slides
7-23-12 DuraSpace & VIVO Sponsor Webinar Slides
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7-23-12 DuraSpace & VIVO Sponsor Webinar Slides

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  • As you can see, The VIVO project itself is a rather large, geographically dispersed team. 7 institutions Project areas: development, implementation, ontology, and outreach
  • 7-23-12 DuraSpace & VIVO Sponsor Webinar Slides

    1. 1. DuraSpace and VIVO DuraSpace Sponsors Webinar July 23, 2012 Michele Kimpton - DuraSpace Jonathan Markow - DuraSpace Dean Krafft – Cornell/VIVOJon Corson-Rikert – Cornell/VIVO
    2. 2. Using the Webinar Platform• 2-way audio for all participants is muted• We will utilize the Chat Window for the Q&A portion or you may use it if you are having technical difficulties• You may type your question here & hit ‘enter’
    3. 3. DuraSpace and VIVO DuraSpace Sponsors Webinar July 23, 2012 Michele Kimpton - DuraSpace Jonathan Markow - DuraSpace Dean Krafft – Cornell/VIVOJon Corson-Rikert – Cornell/VIVO
    4. 4. Agenda• The DuraSpace Incubator• The VIVO Project• DuraSpace and VIVO – Current Status and Next Steps• Questions
    5. 5. The DuraSpace Incubator• Uses the Apache and Jasig models as a starting point• Projects are mentored by DuraSpace• Projects work towards best practices, governance, sustainability• End of process is status as officially recognized project
    6. 6. DuraSpace Umbrella Services• Legal • Webinars• Licensing • Education• Governance • Peer Support• Developer resources • Conferences• Mentoring • Community• Technology expertise development• International exposure • Service providers• Contributors • Admin support• Recognition • Grants• Marketing and • Advocacy Communications • Strategic planning
    7. 7. Advantages to DuraSpace and our Community• Broader community support• New technologies of interest to DuraSpace community (e.g., VIVO: semantic web, linked open data)• Technology synergies (e.g., Fedora)• Attractiveness to corporate sponsors• Wider base of developers• Management and overhead cost efficiencies
    8. 8. DuraSpace Expectations• Projects must meet incubation criteria vis-à-vis best practices, licensing, broad committer support, etc.• Project community must fund DuraSpace resources• Project works with DuraSpace to develop sustainability plan
    9. 9. Agenda• The DuraSpace Incubator• The VIVO Project• DuraSpace and VIVO – Current Status and Next Steps• Questions
    10. 10. VIVO: An Open Source Tool forDescribing and Linking Researchers and Research Dean B. Krafft (presenter) and Jon Corson-Rikert Cornell University Library DuraSpace Sponsors Webinar July 23, 2012
    11. 11. University of Florida Indiana University VIVO CollaborationMike Conlon (VIVO and UF PI) Katy Borner (IU PI) Beth Auten Kavitha Chandrasekar Michael Barbieri Bin Chen Chris Barnes Shanshan Chen Kaitlin Blackburn Ryan Cobine Cecilia Botero Jeni Coffey Cornell University Kerry Britt Suresh Deivasigamani Dean Krafft (Cornell PI) Washington University School of Erin Brooks Ying Ding Manolo Bevia Medicine in St. Louis Amy Buhler Russell Duhon Jim Blake Rakesh Nagarajan (WUSTL PI) Ellie Bushhousen Jon Dunn Nick Cappadona Kristi L. Holmes Linda Butson Poornima Gopinath Brian Caruso Caerie Houchins Chris Case Julie Hardesty Jon Corson-Rikert George Joseph Christine Cogar Brian Keese Elly Cramer Sunita B. Koul Valrie Davis Namrata Lele Medha Devare Leslie D. McIntosh Mary Edwards Micah Linnemeier Elizabeth Hines Nita Ferree Nianli Ma Huda Khan Weill Cornell Medical College Rolando Garcia-Milan Robert H. McDonald Depak Konidena Curtis Cole (Weill PI) George Hack Asik Pradhan Gongaju Brian Lowe Paul Albert Chris Haines Mark Price Joseph McEnerney Victor Brodsky Sara Henning Michael Stamper Holly Mistlebauer Mark Bronnimann Rae Jesano Yuyin Sun Stella Mitchell Adam Cheriff Margeaux Johnson Chintan Tank Anup Sawant Oscar Cruz Meghan Latorre Alan Walsh Christopher Westling Dan Dickinson Yang Li Brian Wheeler Tim Worrall Richard Hu Jennifer Lyon Feng Wu Rebecca Younes Chris Huang Paula Markes Angela Zoss Itay Klaz Hannah Norton Kenneth Lee James Pence The Scripps Research Ponce School of Medicine Peter Michelini Narayan Raum Institute Richard J. Noel, Jr. (Ponce PI) Grace Migliorisi Nicholas Rejack John Ruffing Gerald Joyce (Scripps PI) Ricardo Espada Colon Alexander Rockwell Jason Specland Catherine Dunn Damaris Torres Cruz Sara Russell Gonzalez Tru Tran Sam Katkov Michael Vega Negrón Nancy Schaefer Vinay Varughese Brant Kelley Dale Scheppler Virgil Wong Paula King Nicholas Skaggs Angela Murrell Matthew Tedder Barbara Noble Michele R. Tennant This project is funded by the National Institutes of Health, U24 RR029822 Cary Thomas Alicia Turner "VIVO: Enabling National Networking of Scientists” Michaeleen Trimarchi Stephen Williams
    12. 12. What is VIVO?• A semantic-web-based researcher and research discovery tool – People plus much more• Institution-wide, publicly-visible information – For external as well as internal audiences• An open, shared platform for connecting scholars, communities, and campuses using Linked Open Data
    13. 13. What does VIVO do?• Integrates multiple sources of data – Systems of record – Faculty activity reporting – External sources (e.g., Scopus, PubMed, NIH RePORTER)• Provides a review and editing interface – Single sign-on for self-editing or by proxy• Provides integrated, filterable feeds to other websites
    14. 14. A brief VIVO history2003-2005 First development for the life sciences at Cornell, as a relational database2006-2008 Expansion to all disciplines at Cornell, and conversion to Semantic Web2009-2012 National Institutes of Health-sponsored VIVO: Enabling the National Networking of Scientists project transforms VIVO to a multi-institutional open source platform2012+ Transitioning VIVO to DuraSpace for open community development
    15. 15. What does VIVO model?• People, but also organizations, grants, programs, projects, publications, events, facilities, and research resources• Relationships among the above – Meaningful connections among people and activities – Bidirectional – Context and navigation from one point of interest to another• Links to URIs outside VIVO – Concepts – People, places, organizations, events
    16. 16. Typical data sources• HR and/or directory – people, appointments• Research administration – grants & contracts• Registrar – courses• Graduate-level programs/advising affiliations• Faculty reporting system(s) and/or self or proxy editing – narratives, service, research areas, awards• Events calendar• News releases and/or press clippings• PubMed, Scopus, repositories – publications
    17. 17. What is a Semantic Web application?• Provides data readable by machines, not just text for humans• Provides self-describing data via shared ontologies – Defined types – Defined relationships• Provides search & query augmented by relationships• Does simple reasoning to categorize and find associations – Teaching faculty = any faculty member teaching a course – All researchers involved with any gene associated with breast cancer (through research project, publication, etc.)
    18. 18. The VIVO ontology• Defines types – Having individual instances (e.g., persons)• Defines relationships – Expressed as statements about individuals• Statements (“triples”) can describe or connect – Data property statements describe individuals – Object property statements connect individuals
    19. 19. Example relationships for a researcher Mining the record: Historical evidence for… has author academic staff research area for author of taught by in research area research area academic staff crop management author of Susan Riha teaches research area for Andrew McDonald has author headed by CSS 4830 NYS WRI head of faculty appointment in features faculty members person Earth and Atmosphericfeatured in Sciences Cornell’s supercomputers crunch weather data to help farmers manage chemicals
    20. 20. Structured data for visualizations
    21. 21. What is Linked Open Data (LOD)?• Data – Structured information, not just documents with text – A common, simple format• Open – Available, visible, mine-able – Anyone can post, consume, and reuse• Linked – Directly by reference – Indirectly through common references and inference
    22. 22. An HTTP request can return HTML or data
    23. 23. Linked data indexing for search Scripps Scripps UF WashU WashU VIVO VIVO VIVO eagle-I IU Research VIVO resources Harvard Ponce Profiles VIVO RDFCornell OtherIthaca VIVOsVIVO Weill Weill Solr Cornell Cornell search Iowa VIVO Loki index Alter- RDF vivo nate search Solr .org index Digital Vita RDF Linked Open Data
    24. 24. Value for institutions• Common data substrate – Public, granular and direct – Discovery via external and internal search engines – Available for reuse at many levels• Distributed curation – E.g., affiliations beyond what HR system tracks – Data coordination across functional silos – Feeding changes back to systems of record – Direct linking across campuses• Data that is visible gets fixed
    25. 25. Enter once, use many times• Provides normalized public data to a range of campus applications – Parameterized, filtered queries • By affiliation, org or person id, research area, geography – Search results• Easily consumable data – XML, HTML, JSON – Import module for Drupal – Widgets (Duke, UCSF)
    26. 26. Partnerships – research resources• CTSAconnect – OHSU, Harvard, Cornell, Florida, Buffalo & Stony Brook – eagle-i sister NIH project – Harvard, OHSU, 7 others• Facilities, services, techniques, protocols, skills, and research outputs beyond publications – Extended ways to represent expertise – Improve attribution for data and other contributions to science
    27. 27. Partnerships – ORCID• ORCID – Open Researcher and Contributor ID – Create an identifier for all authors. Attribute works to authors through ORCID identifier• ORCID and VIVO – VIVO provides assertion of ORCIDs for people through institutional identity management. ORCID is an attribute in a VIVO profile. – Anticipating batch submission of basic researcher registrations by universities http://orcid.org
    28. 28. Partnerships – research data• VIVO/ANDS consortium in Australia – Link research data with researcher profiles and publications – Harvest to national registry• DataStaR local data registry tool – Add-on to VIVO – Complement to other library data-related services – Institute for Museum and Library Services (IMLS) grant
    29. 29. Partnerships – information standards• euroCRIS and the CERIF research data standard – Linked Open Data task force slated to map VIVO and CERIF ontologies during 2012• CASRAI (http://casrai.org) – University, corporate, and government partnership – Building a common data dictionary for research information – Coordinating with euroCRIS
    30. 30. Partnerships - APA• The American Psychological Association is using VIVO as one component of a trusted identity framework for online submission and review of scholarly publications• VIVO’s integration with institutional identity systems through the InCommon Federation provides a platform for representing and exchanging information about authors and their works• http://vivo.apa.org, http://publishtrust.org
    31. 31. Partnerships - Sakai• Cambridge University is testing VIVO as a profiling component of the new Sakai Open Academic Environment product• VIVO’s design permits integration into the Sakai interface without major modification to either platform• NYU and other sites may expand the testing pending grant approval
    32. 32. Institutions Adopting VIVO• American Psychological Assn. • Univ. of Melbourne• Brown University • New York University• Univ. of Cambridge • Northeastern University• Univ. of Colorado, Boulder • Notre Dame University• Cornell University • Univ. of Pennsylvania• Duke University • Penn State• Eindhoven Univ. of Technology • Scripps Research Institute• Univ. of Florida • SUNY, Stony Brook• Griffiths University • U.S. Dept. of Agriculture• Indiana University • Univ. of Virginia• Johns Hopkins University • Univ. of Washington• MIT • Washington Univ., St Louis • Weill Cornell Medical College
    33. 33. VIVO Conference Corporate Sponsors Sponsor 2010 2011 2012AAAS (Science) XCrossRef SilverElsevier X Silver GoldIMO Interface Terminology X GoldMicrosoft Research SilverNature Jobs SilverNETE SilverPLOS XProQuest GoldSpringer GoldSymplectic Gold PlatinumRefworks | COS X GoldThomson Reuters X Gold SilverWellspring Worldwide Silver
    34. 34. VIVO Service Providers• Symplectic Elements – research management tools supporting repositories and VIVO – Preliminary data reviews from the Duke VIVO team are positive• Wellspring Worldwide’s Flintbox.com – Integrating faculty expertise and licensable technologies – Membership free to universities and research institutes – Announced plans to create VIVO-based researcher profiles for all member organizations• JK Software in Australia – Custom forms and other interface work• American Psychological Assocation – Presenting at VIVO 2012 on licensing the APA research thesaurus as a service integrated with VIVO
    35. 35. Development beyond the VIVO project• Duke – VIVO widgets• Indiana – Query builder interface for HUBzero• Pittsburgh – Digital Vita Documents• Stony Brook – UMLS terminology web service• Weill Cornell – Google Refine integration• Nebraska – BEPress publication importer• UCSF – Open Social container and RDF gadgets• USC – Karma Information Integration Tool
    36. 36. Agenda• The DuraSpace Incubator• The VIVO Project• DuraSpace and VIVO – Planning and Next Steps• Questions
    37. 37. VIVO Planning• Roles and Responsibilities• Governance• Working groups• Advisory bodies• Work objectives and plan• Costs• Revenue streams
    38. 38. Roles and Responsibilities• Five part-time VIVO staff positions identified for operational roles• DuraSpace effort – Strategic planning – Business development – Marketing and communications – Community development – Technology best practices – Admin support
    39. 39.
    40. 40. Costs• Existing DuraSpace staff effort (0.85 FTE aggregated) – funded by VIVO• Dedicated VIVO staff (0.95 FTE aggregated) - Administered by DuraSpace, sourced and funded by VIVO• VIVO “in-kind” staff (0.75 FTE) hosted at contributing institutions• Other costs (travel, marketing, event coordination, sponsorship campaign)
    41. 41. Revenues• Grants and contracts• Hosted services• Corporate sponsorships• Registered service providers• Conference/event sponsorships• Community sponsorship• Founding contributors
    42. 42. Next Steps• Joint announcement on intent• VIVO raises funds to support its startup period• Initial fund-raising success will trigger the start of incubation for VIVO.
    43. 43. Questions
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