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April 5, 2011  1-2 p.m. VIVO Researcher Networking Update April 5, 2011  1-2 p.m. VIVO Researcher Networking Update

April 5, 2011 1-2 p.m. VIVO Researcher Networking Update - PowerPoint Presentation

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April 5, 2011 1-2 p.m. VIVO Researcher Networking Update - PPT Presentation

Leslie McIntosh Vivo National Evaluator Washington University Jonathan Corson Rikert Vivo Development Lead Cornell University Ellen J Cramer Special Projects Lead Cornell University ID: 814707

data vivo cornell university vivo data university cornell national research linked networking open profiles web sources institutional search amp

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Slide1

April 5, 2011 1-2 p.m.

VIVO Researcher Networking Update

Leslie McIntosh

Vivo National EvaluatorWashington University

Jonathan Corson-RikertVivo Development LeadCornell University

Ellen

J.

Cramer

Special Projects Lead

Cornell

University

Slide2

VIVO Collaboration

Cornell University

Dean

Krafft

(Cornell PI)Manolo Bevia

Jim Blake

Nick

Cappadona

Brian CarusoElly CramerMedha DevareElizabeth HinesHuda KhanBrian LoweJoseph McEnerneyHolly MistlebauerStella MitchellAnup SawantChristopher WestlingTim WorrallRebecca YounesJon Corson-Rikert

University of FloridaMike Conlon (VIVO and UF PI)Beth AutenChris BarnesCecilia BoteroKerry BrittErin BrooksAmy BuhlerEllie BushhousenLinda ButsonChris CaseChristine CogarValrie DavisMary EdwardsNita FerreeRolando Garcia-MilanGeorge HackChris HainesSara HenningRae JesanoMargeaux JohnsonMeghan LatorreYang LiPaula MarkesHannah NortonNarayan RaumAlexander RockwellSara Russell GonzalezNancy SchaeferDale SchepplerNicholas SkaggsSyraj SyedMatthew TedderMichele R. TennantAlicia TurnerStephen Williams

Indiana UniversityKaty Borner (IU PI)Kavitha ChandrasekarBin ChenShanshan ChenRyan CobineJeni CoffeySuresh DeivasigamaniYing DingRussell DuhonJon DunnPoornima GopinathJulie HardestyBrian KeeseNamrata LeleMicah LinnemeierNianli MaRobert H. McDonaldAsik Pradhan GongajuMark PriceMichael StamperYuyin SunChintan TankAlan WalshBrian WheelerFeng WuAngela Zoss

Ponce School of MedicineRichard J. Noel, Jr. (Ponce PI)Ricardo Espada ColonDamaris Torres CruzMichael Vega Negrón

This project is funded by the National Institutes of Health, U24 RR029822"VIVO: Enabling National Networking of Scientists”

The Scripps Research InstituteGerald Joyce (Scripps PI)Catherine DunnBrant KelleyPaula KingAngela MurrellBarbara NobleCary ThomasMichaeleen Trimarchi

Washington University School of Medicine in St. LouisRakesh Nagarajan (WUSTL PI)Kristi L. HolmesCaerie HouchinsGeorge JosephSunita B. KoulJasmine OwensLeslie D. McIntosh

Weill Cornell Medical CollegeCurtis Cole (Weill PI)Paul AlbertVictor BrodskyMark BronnimannAdam CheriffOscar CruzDan DickinsonRichard HuChris HuangItay KlazKenneth LeePeter MicheliniGrace MigliorisiJohn RuffingJason SpeclandTru TranVinay VarugheseVirgil Wong

Slide3

Presentation Plan

Rough outline:Lessons learned from all sites (LESLIE) 15-20 min

Local implementation specifics (data sources, repurposing) (ELLY) 10-15 minDevelopment directions and multi-institutional perspectives (JON) 15-20 minTime for questions at the end.

What was submitted:The National Institutes of Health (NIH)-funded project, "VIVO: Enabling National Networking of Scientists," has just completed a fifth release of the VIVO software at the 18-month point of its current two-year grant. This presentation will focus on where VIVO is today, with a review of the implementation progress at all seven project sites, a detailed look into VIVO's integration into the institutional landscape at Cornell University, and a discussion of the national and international dimensions of VIVO and its future development directions

.VIVO highlights many of the opportunities and challenges of linked open data, including blending local and national data in a multi-institutional context, identifying authoritative information sources, disambiguating authors and organizations, providing appropriate temporal limits on relationships, and reconciling data differences in updates. Each institution on the VIVO project has faced unique challenges and achieved different successes, but common themes have emerged that will help potential adopters and highlight areas of remaining work. VIVO's role in serving the academic and research mission of a university, as illustrated at Cornell, also presents a compelling value proposition for administrators charged with sustaining the effort at the institutional level. This dynamic will have lasting implications for NIH's vision of a distributed, institutionally-sustained researcher networking solution serving large research consortia and national-level needs.

Slide4

An open-source

s

emantic web application that enables the discovery of research and scholarship across disciplines in an institution.

Populated with

detailed profiles of faculty and researchers; displaying items such as publications, teaching, service, and professional affiliations.

A

powerful search functionality

for locating people and information within or across institutions.

Slide5

Participating Institutions

National Network Team

University of Florida, Gainesville, FLCornell University, Ithaca, NYIndiana University, Bloomington, INThe Scripps Research Institute, La Jolla, CA

Institution

Acad. StaffStudent Pop.City

Pop.

Public/Private

Med

SchoolCornell (Ithaca)1,63920.9K100KBothUniversity of Florida4,53450.7K258KPublicYesIndiana University (Bloomington)2,97342.4K175K

PublicPonce School of Medicine 200475442KPrivateYesThe Scripps Research Institute225~22543KPrivateWashington University School of Medicine1,772~5002.8MPrivateYesWeill-Cornell Medical College 1,2354108.2MPrivateYes

Slide6

Lessons Learned in VIVO Implementation

Slide7

Data, Data, Data

Slide8

Get the Data

Who owns the data?

Where are the data sources?What permissions do you need to use the data?

Manage the Data

Who owns the data now?Do you need to create a data management system?How will you refresh your data? How often?

Your data are only as good as the source.

Slide9

Manage Expectations

Slide10

Contribute to the Community

More to open-source than contributing codeDataDocumentation

IRC communicationListservsLessons learned

vivoweb.org

vivo.sourceforge.net

Slide11

VIVO Cornell: In-house to National Cloud

2003-2007

Development of research profiles using ontologies in a database-driven website to meet the needs of the Life Sciences initiative.

2007

Converted to Semantic Web standards. Expanded to include disciplines across the institution

2007–2011+

With NIH grant, moved to national and international network of institutions and organizations and their faculty and researcher profiles

Slide12

VIVO Cornell: Data Sources

Slide13

VIVO Cornell: Data Sources

Slide14

Repurposing and re-using data

Slide15

Local Outreach

Provost Office - institutional support

Data providers – HR, Annual faculty reporting, Grants, Courses, Other

Librarian VIVO liaisons -subject areas

Web developers - repurposing of dataDepartment editors - training

Slide16

Networking

Other sites piloting or adopting VIVO technology

Arizona State University, Duke University, IICA, Los Alamos National Laboratory, Northwestern University, Stony Brook University, University of Arkansas, University of Buffalo, University of Colorado – Boulder, University of Delaware, University of Oregon, University of Virginia,

USDA

Integration

partners

APA (Digital Trust), Duke (Widgets), Harvard University (Harvard Profiles), Indiana University (

HUBzero

), Orchid, Stony Brook University (UMLS), University of Hong Kong (Knowledge Exchange), University of Pittsburgh (Digital Vita), Weill Cornell Medical College (Google Refine).International effortsANDS-Vitro Consortium (Griffith, QUT, University of Melbourne, VeRSI)Chinese Academy of Sciences IICA (Inter-American Institute for Cooperation on Agriculture) isconsidering options like VIVO for a researcher network for their SIDALCApplication and there is a pilot VIVO implementation at the El Colegio de Postgraduados of Mexico.

Slide17

VIVO update part III

VIVO core design principlesEnhancements during the NIH grantPlanned developmentVIVO at web scale

Mini-grants and collaborationsBuilding community and sustainability

Slide18

First, it’s about data

Consistent formatting, in a language of the WebSelf-describingOntology

Context inherent in the dataDistributedDe-referenceableReusable without (or with) modificationPersistent independently of any application

Slide19

VIVO is not just people or profiles

Anything can be a type (and have individuals)All individuals have the same structure

Varying attributes & relationshipsInheritanceExtend the ontology without modifying the appTradeoffs of generality vs. optimal interface

Slide20

Highlights of recent improvements

Linked

Open Data

Application

n

avigation

t

heming

scalabilityMVC structureVIVOCore Ontologyeagle-iresearchresourcesself-editing

externalauthenticationHarvesterVisualizationspage templatesgrantsHR dataPubmed

Drupal importer

Slide21

Deliverables by August, 2011

Linked

Open Data

Application

n

avigation

t

heming

scalabilityMVC structureVIVOCore Ontologyself-editing

externalauthenticationVisualizationspage templatesMap of ScienceGeoMaprole-basedauthorizationaggregatorsoftwareRDF to Solrindexer

local/nationalsearch UIlinkingbetweenVIVOsSearch-related functionalitiesBioportalsubmission

Harvestermore pubformats

nationalgrant data

Drupal importer

Slide22

“National” search

NIH mandated no reliance on sustained centralized infrastructureAggregation of RDF from multiple sourcesHarvard Profiles, Collexis

, and likely othersSolr indexing leveraging the VIVO ontologyAggregator and indexing will be configurable to harvest any desired set of sources

Slide23

National networking & search

Ponce

VIVO

WashU

VIVO

IU VIVO

Cornell

Ithaca

VIVO

Weill

Cornell VIVOVIVOaggregatortriple store

Other

VIVOs

OtherCTSAVIVOsHarvardProfilesRDFOther

VIVOsOtherRDFFuture CTSAtriple storeFuturestate or regionaltriple s

toreFutureCTSASolrindexOtherRDF

Solr

s

earch

index

Linked Open Data

future

Solr

index

VIVO

n

ational

network

search

UF VIVO

Scripps

VIVO

Slide24

Slide25

VIVO at web scale

Connections directly between VIVOsMultiple campuses of 1 institutionMultiple institutions within a consortium

Data resides & served from home institutionIndividuals linked by URI or common identifierUpdates via linked data harvesting or pingback

Slide26

As the linked data cloud grows

Search enhanced by authoritative, structured, and updated dataRetrieval and filtering by type & relationship, not just textEnables better data mining and analysis

Reduces reporting burdenUnique semantic advantagesCategorization implicit in defined ontologiesCommon references to shared terminologiesORCID and other initiatives leading to common references to individuals

Slide27

Community development

VIVOweb.orgVIVO on sourceforge

Fully open source (BSD license)Subversion repository – download or check outActive development and implementation mail lists & forumsInstallation and upgrade documentation

Wiki-based documentation effortSupplemental materialsMany ways to contribute and benefit

Slide28

Mini-grants address key areas

Controlled vocabularies (Stony Brook)Author IDs and disambiguation (ORCID)Widgets to re-use VIVO data in standard web pages (Duke)

Direct output to biosketches and CVs (Pittsburgh)Connection to the HUBzero scientific simulation and grid services platform, via

Joomla CMS (IU)Google Refine for data cleanup and export (Weill Cornell)

Slide29

VIVO Ecosystem Evolution

Slide30

Community collaborations

ORCIDConnections to institutional repositories, as other libraries implement VIVOLibrary of Congress support for Exhibit API with VIVO as one target

Dataset metadata discovery and registry work, with Australian VIVO consortium

Slide31

Questions yet to address

What access points and services need to be provided for national (or international) research networking to succeed?How will people be able to integrate this data into their daily workflow and research process?

How will boundaries between public and private data and services work?Federating group privileges as well as identities across multiple VIVOs and to other research-enabling tools

Slide32

Thank you