2018
DataMed – an open source discovery index for finding biomedical datasets
Chen X, Gururaj A, Ozyurt B, Liu R, Soysal E, Cohen T, Tiryaki F, Li Y, Zong N, Jiang M, Rogith D, Salimi M, Kim H, Rocca-Serra P, Gonzalez-Beltran A, Farcas C, Johnson T, Margolis R, Alter G, Sansone S, Fore I, Ohno-Machado L, Grethe J, Xu H. DataMed – an open source discovery index for finding biomedical datasets. Journal Of The American Medical Informatics Association 2018, 25: 300-308. PMID: 29346583, PMCID: PMC7378878, DOI: 10.1093/jamia/ocx121.Peer-Reviewed Original ResearchIngestion pipelineBiomedical datasetsSearch enginesBiomedical domainAdvanced natural language processingRelevant datasetsUser-entered queryData discovery systemUnified metadata modelData ingestion pipelinesNatural language processingOpen-source packageRetrieval engineTerminology servicesMetadata modelMetadata informationDiscovery systemData reuseDataMedBenchmark datasetsBiomedical dataData indexAverage precisionLanguage processingSource package
2017
User needs analysis and usability assessment of DataMed – a biomedical data discovery index
Dixit R, Rogith D, Narayana V, Salimi M, Gururaj A, Ohno-Machado L, Xu H, Johnson T. User needs analysis and usability assessment of DataMed – a biomedical data discovery index. Journal Of The American Medical Informatics Association 2017, 25: 337-344. PMID: 29202203, PMCID: PMC7378884, DOI: 10.1093/jamia/ocx134.Peer-Reviewed Original ResearchData discoveryUsability evaluationInformation needsUser interfaceBiomedical dataIterative usability evaluationsInformation retrieval toolsUser interface needsHigh-quality metadataResearchers informationCommon search enginesDiscovery systemRetrieval toolsDataMedUser studyRelevance judgmentsSearch enginesUser needsDataset explorationUsability assessmentRetrieval techniquesNew retrieval techniqueIncomplete metadataMetadataUsers
2014
PhenDisco: phenotype discovery system for the database of genotypes and phenotypes
Doan S, Lin K, Conway M, Ohno-Machado L, Hsieh A, Feupe S, Garland A, Ross M, Jiang X, Farzaneh S, Walker R, Alipanah N, Zhang J, Xu H, Kim H. PhenDisco: phenotype discovery system for the database of genotypes and phenotypes. Journal Of The American Medical Informatics Association 2014, 21: 31-36. PMID: 23989082, PMCID: PMC3912702, DOI: 10.1136/amiajnl-2013-001882.Peer-Reviewed Original ResearchConceptsNew information retrieval systemInformation retrieval systemsInformation retrieval toolsDatabase of GenotypesText processing toolsRetrieval systemSearch scenariosDiscovery systemRetrieval toolsAuthorized usersNon-standardized wayCross-study validationSearch comparisonProcessing toolsPromising performanceUsersPhenotype informationDatabaseInformationBiotechnology InformationQueriesMetadataEntrezResourcesSystem