2016
Chapter 3 Core Informatics Technologies: Data Storage
Nadkarni P. Chapter 3 Core Informatics Technologies: Data Storage. 2016, 49-84. DOI: 10.1016/b978-0-12-803130-8.00003-8.Peer-Reviewed Original ResearchInformation retrievalData elementsText information retrievalInformatics/computer scienceRetrieval of dataIndexing technologyUnstructured textRelational databaseDatabase indexResearch computingComputer scienceData storageRetrievalLarge volumesEfficient operationTechnologyNoSQLComputingQueriesBrief introductionCritical componentStorageProcessingTechnological armamentariumDatabase
2009
Automated Database Mediation Using Ontological Metadata Mappings
Marenco L, Wang R, Nadkarni P. Automated Database Mediation Using Ontological Metadata Mappings. Journal Of The American Medical Informatics Association 2009, 16: 723-737. PMID: 19567801, PMCID: PMC2744723, DOI: 10.1197/jamia.m3031.Peer-Reviewed Original ResearchConceptsCross-database queriesHigh-level rulesEnforcement of constraintsDatabase MediationDatabase federationsDatabase ontologyExtended metadataGranularity levelsMetadata mappingBiomedical ontologiesDifferent granularitiesFramework simplifiesCategories of dataMaintenance of systemsMapping rulesQueriesDatabase informationGranularity of representationGlobal vocabularyOntologyGranularityIntegrator systemMetadataDatabaseSNOMED
2006
Guidelines for the effective use of entity–attribute–value modeling for biomedical databases
Dinu V, Nadkarni P. Guidelines for the effective use of entity–attribute–value modeling for biomedical databases. International Journal Of Medical Informatics 2006, 76: 769-779. PMID: 17098467, PMCID: PMC2110957, DOI: 10.1016/j.ijmedinf.2006.09.023.Peer-Reviewed Original Research
2004
QIS: A Framework for Biomedical Database Federation
Marenco L, Wang TY, Shepherd G, Miller PL, Nadkarni P. QIS: A Framework for Biomedical Database Federation. Journal Of The American Medical Informatics Association 2004, 11: 523-534. PMID: 15298995, PMCID: PMC524633, DOI: 10.1197/jamia.m1506.Peer-Reviewed Original ResearchConceptsNetwork-based serversHeterogeneous data sourcesRobust data integrationIntegration serverOntology serverDatabase federationsSource serverNeuroscience databasesData integrationMediator frameworkServerData elementsQueriesData sourcesMetadataPrototype stageStandard technologyIntegrator systemGenomic databasesFrameworkDatabaseOntologyArchitectureSchemaTechnological expertise
2003
Text mining neuroscience journal articles to populate neuroscience databases
Crasto CJ, Marenco LN, Migliore M, Mao B, Nadkarni PM, Miller P, Shepherd GM. Text mining neuroscience journal articles to populate neuroscience databases. Neuroinformatics 2003, 1: 215-237. PMID: 15046245, DOI: 10.1385/ni:1:3:215.Peer-Reviewed Original ResearchConceptsNeuroscience databasesNatural language textPre-processing stepDatabase architectureLanguage textRetrieval resultsDatabase keywordsSemantic contextBibliography databasesNeuroscience articlesTest setTwo-step approachFirst stepDatabaseExpertsArchitectureSoftwareKnowledgebaseSecond stepNeuroscienceSenseLabKeywordsContinual improvementStepAccuracyAchieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances
Marenco L, Tosches N, Crasto C, Shepherd G, Miller PL, Nadkarni PM. Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances. Journal Of The American Medical Informatics Association 2003, 10: 444-453. PMID: 12807806, PMCID: PMC212781, DOI: 10.1197/jamia.m1303.Peer-Reviewed Original ResearchConceptsEAV/CRXML-based protocolHuman Brain ProjectDatabase supportData querySemantic descriptorsAutomatic generationNeuroscience databasesCR frameworkScientific domainsBrain ProjectInterclass relationshipsSchema maintenanceFrameworkBioscience applicationsResearch focusQueriesMetadataDatabaseUMLSUsersData extractionDifferent subsetsSchemaParticular research focus
2002
Metadata-driven creation of data marts from an EAV-modeled clinical research database
Brandt CA, Morse R, Matthews K, Sun K, Deshpande AM, Gadagkar R, Cohen DB, Miller PL, Nadkarni PM. Metadata-driven creation of data marts from an EAV-modeled clinical research database. International Journal Of Medical Informatics 2002, 65: 225-241. PMID: 12414020, DOI: 10.1016/s1386-5056(02)00047-3.Peer-Reviewed Original ResearchConceptsData martClinical study data management systemsTransaction-oriented systemsData management systemClinical research databaseDatabase schemaEntity attributesAnalytical processingHuman interpretationStudy metadataMetadataManagement systemArbitrary numberData entrySuch dataBrowsingValue modelSchemaMartHigher-level groupingsSystemDataProcessingDatabaseCreation
2001
Easing the transition between attribute-value databases and conventional databases for scientific data.
Nadkarni P, Marenco L. Easing the transition between attribute-value databases and conventional databases for scientific data. AMIA Annual Symposium Proceedings 2001, 483-7. PMID: 11825235, PMCID: PMC2243470.Peer-Reviewed Original ResearchConceptsEAV/CRData transfer toolsData transfer programProgrammer interventionConventional databasesLegacy systemsDB technologyDevelopment frameworkGeneric toolData sourcesDifferent representationsConventional dataAnalytical packageDatabaseScientific dataTransfer toolsScientific databasesTransfer taskToolProgrammingTaskCurrent limitationsWide varietyTechnologyFramework
2000
WebEAV
Nadkarni P, Brandt C, Marenco L. WebEAV. Journal Of The American Medical Informatics Association 2000, 7: 343-356. PMID: 10887163, PMCID: PMC61439, DOI: 10.1136/jamia.2000.0070343.Peer-Reviewed Original ResearchConceptsWeb development environmentWeb application developmentUser interface issuesClient-server technologyValue databaseWeb technologiesApplication developmentEntity attributesWeb developmentDevelopment environmentWeb interfaceGeneric frameworkInterface issuesComplex systemsFront endDatabaseTechnologyMetadataDevelopersSuitable examplesArchitectureTaskFeaturesFrameworkVehiclesIntegration of a hematopoietic progenitor cell program using the ACT/DB database system
Perrotta P, Nadkarni P. Integration of a hematopoietic progenitor cell program using the ACT/DB database system. Computer Methods And Programs In Biomedicine 2000, 61: 195-207. PMID: 10710182, DOI: 10.1016/s0169-2607(99)00038-3.Peer-Reviewed Original ResearchConceptsClient-server databaseComprehensive software systemSQL Server databaseDiverse data requirementsWeb-based technologiesData entry formsSoftware systemsServer databaseDatabase systemsInformation technologyMicrosoft AccessControl functionalityEntry formData requirementsTechnologyInternetDatabaseQuality assuranceOracleDeploymentSoftwareSystemFunctionalityRequirementsProcessingOlfactory Receptor Database: a sensory chemoreceptor resource
Skoufos E, Marenco L, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a sensory chemoreceptor resource. Nucleic Acids Research 2000, 28: 341-343. PMID: 10592268, PMCID: PMC102443, DOI: 10.1093/nar/28.1.341.Peer-Reviewed Original Research
1999
Organization of Heterogeneous Scientific Data Using the EAV/CR Representation
Nadkarni P, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P. Organization of Heterogeneous Scientific Data Using the EAV/CR Representation. Journal Of The American Medical Informatics Association 1999, 6: 478-493. PMID: 10579606, PMCID: PMC61391, DOI: 10.1136/jamia.1999.0060478.Peer-Reviewed Original ResearchConceptsEAV/CRHeterogeneous scientific dataPhysical database schemaStorage of dataInterobject relationshipsDatabase schemaHeterogeneous dataMedical domainComplex objectsScientific domainsClinical patient recordsSchemaBiomedical databasesRepresentationScientific dataPatient recordsSuch purposesDatabaseValue representationDomainObjectsParadigmDataOlfactory Receptor Database: a database of the largest eukaryotic gene family
Skoufos E, Healy M, Singer M, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a database of the largest eukaryotic gene family. Nucleic Acids Research 1999, 27: 343-345. PMID: 9847223, PMCID: PMC148178, DOI: 10.1093/nar/27.1.343.Peer-Reviewed Original ResearchNeuronal database integration: the Senselab EAV data model.
Marenco L, Nadkarni P, Skoufos E, Shepherd G, Miller P. Neuronal database integration: the Senselab EAV data model. AMIA Annual Symposium Proceedings 1999, 102-6. PMID: 10566329, PMCID: PMC2232788.Peer-Reviewed Original Research
1998
The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data
Shepherd G, Mirsky J, Healy M, Singer M, Skoufos E, Hines M, Nadkarni P, Miller P. The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data. Trends In Neurosciences 1998, 21: 460-468. PMID: 9829685, DOI: 10.1016/s0166-2236(98)01300-9.Peer-Reviewed Original ResearchData Extraction and Ad Hoc Query of an Entity—Attribute—Value Database
Nadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.Peer-Reviewed Original ResearchConceptsElectronic patient record systemQuery problemAd-Hoc QueriesReal-time retrievalPatient record systemData warehousingEntity attributesComplex subproblemsData retrievalQueriesValue databaseRecord systemSuch systemsRetrievalValue tablePatient dataFront endAttributesMetadataWarehousingDatabaseUsersData extractionSubproblemsIndividual attributesDatabase tools for integrating and searching membrane property data correlated with neuronal morphology
Mirsky J, Nadkarni P, Healy M, Miller P, Shepherd G. Database tools for integrating and searching membrane property data correlated with neuronal morphology. Journal Of Neuroscience Methods 1998, 82: 105-121. PMID: 10223520, DOI: 10.1016/s0165-0270(98)00049-1.Peer-Reviewed Original ResearchConceptsDatabase toolsWeb resourcesSearch toolsCritical problemUsersSequence databasesSimple canonical modelFunctional operationDatabaseToolSearchDifferent neuronsInternetAnnotationEquivalent compartmentsModelersDataProperty dataCanonical modelDifferent typesInformationState of acceptanceResourcesVehiclesProperty spaceA metadata approach to query interoperation between molecular biology databases.
Cheung KH, Nadkarni PM, Shin DG. A metadata approach to query interoperation between molecular biology databases. Bioinformatics 1998, 14: 486-497. PMID: 9694987, DOI: 10.1093/bioinformatics/14.6.486.Peer-Reviewed Original ResearchConceptsMolecular biology databasesDatabase objectsBiology databasesSpecification of correspondencesDatabase accessHeterogeneous databasesSQL queriesDatabase interoperationMetadata approachSuch metadataPrototype systemIndividual databasesInteroperationMap databaseMetadataDatabaseGreat challengeObjectsQueriesUsersValue modelDatabase comparisonRequestsSpecificationComplexityAutomatic query mapping among genomic databases: a pilot exploration.
Cheung KH, Nadkarni P, Miller P, Shin DG. Automatic query mapping among genomic databases: a pilot exploration. AMIA Annual Symposium Proceedings 1998, 942-6. PMID: 9929357, PMCID: PMC2232293.Peer-Reviewed Original Research
1997
QAV: querying entity-attribute-value metadata in a biomedical database
Nadkarni P. QAV: querying entity-attribute-value metadata in a biomedical database. Computer Methods And Programs In Biomedicine 1997, 53: 93-103. PMID: 9186046, DOI: 10.1016/s0169-2607(97)01815-4.Peer-Reviewed Original ResearchConceptsData retrievalClient-server applicationsGraphical front endSet-based queriesMetadata repositorySQL statementsData organizationKnowledge representationBiomedical databasesRetrievalProduction applicationsFront endQueriesServerMetadataDatabaseUsersRepositoryDatasetApplicationsRelation formRepresentation