Search results for "Data Quality"

showing 10 items of 96 documents

An Extended Data Object-driven Approach to Data Quality Evaluation: Contextual Data Quality Analysis

2019

This research is an extension of a data object-driven approach to data quality evaluation allowing to analyse data object quality in scope of multiple data objects. Previously presented approach was used to analyse one particular data object, mainly focusing on syntactic analysis. It means that the primary data object quality can be analysed against secondary data objects of unlimited number. This opportunity allows making more comprehensive, in-depth contextual data object analysis. The given analysis was applied to open data sets, making comparison between previously obtained results and results of application of the extended approach, underlying importance and benefits of the given exten…

Information retrievalParsingComputer sciencemedia_common.quotation_subjectExtension (predicate logic)computer.software_genreObject (computer science)Open dataContextual designData qualityQuality (business)computerScope (computer science)media_commonProceedings of the 21st International Conference on Enterprise Information Systems
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Uncertainty Assessment of a Water-Quality Model for Ephemeral Rivers Using GLUE Analysis

2011

Every model is, by definition, a simplification of the system under investigation. Although it would be desirable to reduce the gap between the simulated and the observed behaviors of the system to zero, this reduction is generally impossible owing to the unavoidable uncertainties inherent in any modeling procedure. Uncertainty analyses can provide useful insights into the best model approach to be used for obtaining results with a high level of significance and reliability. The evaluation of parameter uncertainties is necessary for calibration and for estimating the impact of these uncertainties on model performance. In this context, the uncertainty of a river water-quality model developed…

Integrated urban drainage modeling Uncertainty assessment Model approaches Water-quality managementEnvironmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleOperations researchCalibration (statistics)Context (language use)Data qualityEnvironmental ChemistryEnvironmental scienceSensitivity analysisBiochemical engineeringWater qualityGLUEUncertainty analysisReliability (statistics)General Environmental ScienceCivil and Structural EngineeringJournal of Environmental Engineering
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Electronic system for assessing and analysing digital competences in the context of Knowledge Society

2019

The digital competencies of users, in general, and of public administration personnel, in particular, must allow the people access to graphical interfaces and applications, including databases. The use of digital competences is not simply about the emergence and use of computer tools to a certain level but also to develop new digital skills to face the challenges of data quality, responsibility, confidence in information received, the privacy of the user and the safety of its data. The study tool in this paper is managed and applied online, and the collection and centralization of data is done automatically, also ensuring information security. The basic method used in this paper is the mode…

Knowledge societyKnowledge managementComputer toolsComputer sciencebusiness.industryData qualityFace (sociological concept)Context (language use)Digital skillsInformation securitybusinessElectronic systems2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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Eye tracking and the translation process: reflections on the analysis and interpretation of eye-tracking data

2014

Eye tracking has become increasingly popular as a quantitative research method in translation research. This paper discusses some of the major methodological issues involved in the use of eye tracking in translation research. It focuses specifically on challenges in the analysis and interpretation of eye-tracking data as reflections of cognitive processes during translation. Four types of methodological issues are discussed in the paper. The first part discusses the preparatory steps that precede the actual recording of eye-tracking data. The second part examines critically the general assumptions linking eye movements to cognitive processing in the context of translation research. The thir…

Linguistics and LanguageEngineering drawingTranslationTraducciónProcess (engineering)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)Translation (geometry)Language and LinguisticsEducationInformationSystems_MODELSANDPRINCIPLESHuman–computer interactionQuantitative researchIndicatorsAssumptionsUNESCO::CIENCIAS DE LAS ARTES Y LAS LETRASEye trackingTraducción; Seguimiento ocular; Hipótesis; Calidad de los datos; IndicadoresInterpretation (philosophy)Data qualityTraducción e InterpretaciónEye movementCognitionCalidad de los datosGeographyIndicadoresTranslation; Eye tracking; Assumptions; Data quality; Indicators:CIENCIAS DE LAS ARTES Y LAS LETRAS [UNESCO]Seguimiento ocularEye trackingHipótesis
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Comparison of Epithor clinical national database and medico-administrative database to identify the influence of case-mix on the estimation of hospit…

2019

BackgroundThe national Epithor database was initiated in 2003 in France. Fifteen years on, a quality assessment of the recorded data seemed necessary. This study examines the completeness of the data recorded in Epithor through a comparison with the French PMSI database, which is the national medico-administrative reference database. The aim of this study was to demonstrate the influence of data quality with respect to identifying 30-day mortality hospital outliers.MethodsWe used each hospital's individual FINESS code to compare the number of pulmonary resections and deaths recorded in Epithor to the figures found in the PMSI. Centers were classified into either the good-quality data (GQD) …

MaleDatabases FactualOutliers DRGPulmonologyCancer Treatment030204 cardiovascular system & hematologyLogistic regressionHealth administration0302 clinical medicineHospital AdministrationInterquartile rangeMedicine and Health SciencesMedicineHospital MortalityRespiratory System ProceduresMultidisciplinaryMortality rateQRRegression analysisHospitals3. Good healthSurgical OncologyOncologyMedicineFemaleRisk AdjustmentLung ResectionResearch ArticleClinical OncologyDeath RatesScienceSurgical and Invasive Medical Procedures03 medical and health sciencesCase mix indexPopulation MetricsHumansDiagnosis-Related GroupsPopulation BiologySurgical Resectionbusiness.industryBiology and Life SciencesModels TheoreticalHealth CareStandardized mortality ratioLogistic ModelsDyspnea030228 respiratory systemHealth Care Facilities[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieData quality[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieClinical MedicinebusinessDemography
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Global surveillance of cancer survival 1995–2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 coun…

2015

Worldwide data for cancer survival are scarce. We aimed to initiate worldwide surveillance of cancer survival by central analysis of population-based registry data, as a metric of the eff ectiveness of health systems, and to inform global policy on cancer control. Methods Individual tumour records were submitted by 279 population-based cancer registries in 67 countries for 25·7 million adults (age 15–99 years) and 75 000 children (age 0–14 years) diagnosed with cancer during 1995–2009 and followed up to Dec 31, 2009, or later. We looked at cancers of the stomach, colon, rectum, liver, lung, breast (women), cervix, ovary, and prostate in adults, and adult and childhood leukaemia. Standardise…

Maleeurope 1999-2007PathologyCàncer -- EstadístiquesSurvival[SDV]Life Sciences [q-bio]2700 General MedicineGlobal HealthSettore MED/42 - Igiene Generale E ApplicataNeoplasms80 and overGlobal healthRegistriesStomach cancerChildcancer survivalBreast-cancerComputingMilieux_MISCELLANEOUScancer registry; cancer survival; worldwideCervical cancerAged 80 and overeducation.field_of_studychildhood-cancerMedicine (all)1. No povertyGeneral Medicinecancer survival; population-based registries; surveillanceMiddle Aged3. Good healthovarian-cancerChild Preschoolpopulation-based registriesurveillance/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalenet survivalNeoplasms/mortalityBreast-cancer; childhood-cancer; rectal-cancer; nordic countries; europe 1999-2007; ovarian-cancer; net survival; data quality; care; stageAdultmedicine.medical_specialtyAdolescentPopulationSocio-culturale610 Medicine & healthAdolescent; Adult; Age Distribution; Aged; Aged 80 and over; Child; Child Preschool; Female; Global Health; Humans; Infant; Infant Newborn; Male; Middle Aged; Neoplasms; Registries; Sex Distribution; Survival Analysis; Young Adult; Medicine (all)Articlerectal-cancerYoung AdultBreast cancerAge DistributionSDG 3 - Good Health and Well-beingcancer survival; cancer registriesmedicinedata qualityHumanscareSex DistributionPreschooleducationSupervivèncianordic countriesSurvival analysisddc:613AgedCancer -- Statisticsbusiness.industryInfant NewbornCancerInfant10060 Epidemiology Biostatistics and Prevention Institute (EBPI)Newbornmedicine.diseasestageSurvival AnalysisCancer registrycancer registriesbusinessDemography
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Quality analysis of population-based information on cancer stage at diagnosis across Europe, with presentation of stage-specific cancer survival esti…

2017

Abstract Background Cancer registries (CRs) are fundamental for estimating cancer burden, evaluating screening and monitoring health service performance. Stage at diagnosis—an essential information item collected by CRs—has been made available, for the first time, by CRs participating in EUROCARE-5. We analysed the quality of this information and estimated stage-specific survival across Europe for CRs with good data quality. Data and methods Sixty-two CRs sent stage (as TNM, condensed TNM or extent of disease) for 15 cancers diagnosed in 2000–2007. We assessed the quality, partly by comparing stage according to the three systems. We also developed procedures to reconstruct stage (categories…

Malemedicine.medical_specialtyCancer ResearchStage at diagnosiSurvivalConcordanceCancer registrieCancer registries ; Data quality ; Stage at diagnosis ; SurvivalSocio-culturaleReproducibility of ResultPredictive Value of TestCancer registries; Data quality; Stage at diagnosis; Survival; Data Accuracy; Europe; Female; Humans; Male; Neoplasm Metastasis; Neoplasms; Predictive Value of Tests; Reproducibility of Results; Survival Analysis; Neoplasm Staging; Registries; Oncology; Cancer Research03 medical and health sciences0302 clinical medicineBreast cancerPredictive Value of TestsNeoplasmsmedicineotorhinolaryngologic diseasesCancer registriesHumans030212 general & internal medicineRegistriesStage (cooking)Neoplasm MetastasisIntensive care medicineSurvival analysisCancer stagingNeoplasm Stagingbusiness.industryData qualityReproducibility of ResultsStage at diagnosismedicine.diseaseSurvival AnalysisCancer registryData AccuracyClinical trialNeoplasm MetastasiEuropeOncology030220 oncology & carcinogenesisData qualityNeoplasmFemaleSurvival AnalysibusinessHumanEuropean journal of cancer (Oxford, England : 1990)
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An Approach Towards Information Quality Management of Electronic Health Records

2014

Electronic Health Records (EHR) management systems, have gained attention in many countries as public organizations working in health domain (such as hospitals and municipalities) use them to lift the quality of health care. EHRs are considered as the basis for establishing Health Information Service (HIS) systems. In spite of remarkable advantages of EHRs, the lack of quality metrics can reduce the efficiency of high level systems that are based on them. Particularly, it is smart to design a mechanism to assure the quality of data generated by sensors. In this paper, we propose an architecture in which EHRs are enriched with metadata to provide the information quality. Our architecture emp…

MetadataInformation Quality ManagementKnowledge managementTotal quality managementRisk analysis (engineering)business.industryComputer scienceData qualityManagement systemHealth careInformation qualityQuality policybusinessProceedings of the International Conference on Health Informatics
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German-Wide Interlaboratory Study Compares Consistency, Accuracy and Reproducibility of Whole-Genome Short Read Sequencing.

2020

We compared the consistency, accuracy and reproducibility of next-generation short read sequencing between ten laboratories involved in food safety (research institutes, state laboratories, universities and companies) from Germany and Austria. Participants were asked to sequence six DNA samples of three bacterial species (Campylobacter jejuni, Listeria monocytogenes and Salmonella enterica) in duplicate, according to their routine in-house sequencing protocol. Four different types of Illumina sequencing platforms (MiSeq, NextSeq, iSeq, NovaSeq) and one Ion Torrent sequencing instrument (S5) were involved in the study. Sequence quality parameters were determined for all data sets and central…

Microbiology (medical)Whole genome sequencing0303 health sciencesReproducibilityinterlaboratory study030306 microbiologylcsh:QR1-502Computational biologyIon semiconductor sequencingBiologyMicrobiologyGenomeion torrentlcsh:Microbiology03 medical and health sciencesfood safetyConsistency (statistics)whole-genome sequencingData qualityilluminaBase callingIllumina dye sequencing030304 developmental biologyFrontiers in microbiology
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Live genomics for pathogen monitoring in public health.

2014

Whole genome analysis based on next generation sequencing (NGS) now represents an affordable framework in public health systems. Robust analytical pipelines of genomic data provides in a short lapse of time (hours) information about taxonomy, comparative genomics (pan-genome) and single polymorphisms profiles. Pathogenic organisms of interest can be tracked at the genomic level, allowing monitoring at one-time several variables including: epidemiology, pathogenicity, resistance to antibiotics, virulence, persistence factors, mobile elements and adaptation features. Such information can be obtained not only at large spectra, but also at the “local” level, such as in the event of a recurrent …

Microbiology (medical)medicine.medical_specialtylcsh:MedicineVirulenceGenomicscomparative genomicsBiologyGenomeDNA sequencingArticleresistancemedicineImmunology and AllergyMolecular Biologypathogens outbreaks; pan-genome; comparative genomics; bioinformatics; resistance; public healthComparative genomicsGeneral Immunology and MicrobiologyPublic healthlcsh:Rpublic healthPan-genomebioinformaticsData scienceInfectious Diseasespathogens outbreaksData qualitypan-genomePathogens (Basel, Switzerland)
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