Text -> more complex on images Look for word “jaguar”- no meaning in the word- can be animal, car, operating system.Information is syntaxic not semantic, unable to know what we are referring to exactly
If we want to keep this slide, need to update the screenshot SWEET is an ontology-driven data collection tool
How are resources shared in eagle-i?
Include publication in landscape pictureFor commercial antibodies- identifiable/non-commercial identifiableNumber of antibodies and number of papersBring back to eagle-i
Move to end
eScience Institute presentation on eagle-i
The eagle-i Network:enabling research resourcediscoveryMelissa HaendelOregon Health & Science University Library03.15.13LIBRARY
Outline History of eagle-i Network Basic features & functionality Relationship to research lifecycle & community Future collaborations
Dreams of a bench scientistBetter access to resources and expertiseMore reproducible scienceCredit where credit is dueVisible and interoperable dataEfficient science.
All of these dreams are aided bysemantic technologies: Uniform resourceIdentifiers Ontologies (enablingcommon reference,differencing) Linked Data … and applicationsthat use them
Helping researchers find invisible resourcesReagents, instruments, services, model and non-model organisms,protocols, biospecimens, human studies, software and researchopportunities Adding meaningful semantic relationships betweenresources Making this data available using ontology-driven approachto research resource annotation and discovery Reducing time-consuming and expensive duplication ofresourceseagle-i Network
www.eagle-i.netHow are resources shared in eagle-i?
eagle-i data with a newuser-friendly user interfaceEnables quality search ofOHSU cores in GoogleEnables an OHSU cross-coresearch for instruments andservicesDeveloped by UCSF:http://ctsiatucsf.github.com/plumage/OHSU Core Search = leveraging eagle-i
ISFnet w o r kISF can be used by other applications
eagle-i is an ontology-driven application . . . for collectingand searching research resources. VIVO is an ontology-driven application . . . for collectinganddisplaying information about people. CTSAconnect will produce a single Integrated SemanticFramework, a modular collection of ontologieseagle-iResourcesVIVOPeopleeagle-iVIVOSemanticClinicalactivitiesMerging VIVO and eagle-i semanticinfrastructureeagle-i
Identify potentialcollaborators, relevantresources, and expertiseacross scientific disciplinesAssemble teams of scientiststo address specific researchquestionsEvaluate scientific outcomesOregon Health & ScienceUniversityCornell UniversityUniversity of FloridaStony Brook UniversityUniversity at BuffaloHarvard UniversityCTSAconnect | Reveal Connections. Realize Potential.
Antibody Registry and eagle-iuse a shared ontology
Publishing unique identifiers canaid scientific reproducibilityAntibodies are not very uniquely identifiable in 57 publicationsPercent0%20%40%60%80%100%Commercial antibodyidentifiableNon-commercial antibodyidentifiablen=207n=8Working with publishers to increasereporting guidelines
PreservePublishResearchCTSAconnectReveal Connections.Realize Potential.net w o r kScholarly scientific research cycle
We can all work together to make researchresourcesmore visibleand researchmore efficient.Successfulexperiment!net w o r k