0000000000776983

AUTHOR

Katharina Nimptsch

0000-0001-7877-205x

showing 1 related works from this author

Perspective: Essential study quality descriptors for data from nutritional epidemiologic research

2017

Pooled analysis of secondary data increases the power of research and enables scientific discovery in nutritional epidemiology. Information on study characteristics that determine data quality is needed to enable correct reuse and interpretation of data. This study aims to define essential quality characteristics for data from observational studies in nutrition. First, a literature review was performed to get an insight on existing instruments that assess the quality of cohort, case-control, and cross-sectional studies and dietary measurement. Second, 2 face-to-face workshops were organized to determine the study characteristics that affect data quality. Third, consensus on the data descrip…

0301 basic medicineDatabases FactualMedicine (miscellaneous)StorageBiomedical InnovationOntology (information science)Bioinformatics0302 clinical medicineLifedata interoperabilityObservational studyData interoperabilityMedicine030212 general & internal medicineAdipositymedia_commonNutrition and DieteticsAnthropometryOntologydietary assessmentNutritional assessmentObservational Studies as TopicIdentification (information)Research DesignDietary assessmentControlled vocabularyHealthy LivingPerspectivesHumanConsensusmedia_common.quotation_subject03 medical and health sciencesControlled vocabularyHumansQuality (business)Data QualityBiologyCross-sectional studyNutritional epidemiologyNutritional epidemiologybusiness.industryData qualityStudy designData scienceDietEpidemiologic StudiesCritical appraisalnutritional epidemiologyNutrition Assessment030104 developmental biologyMSB - Microbiology and Systems BiologyCardiovascular and Metabolic DiseasesData qualitySystematic reviewObservational studyobservational studyELSS - Earth Life and Social SciencesbusinessMeta analysisFood Science
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