ArticleEuropean journal of epidemiology2021
The EU Child Cohort Network's core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables.
Article in European journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 7 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Ambient air pollution and childhood obesity from infancy to late childhood: An individual participant data meta-analysis of 10 European birth cohorts.Environment international · 2025Pooled it
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- Sleep duration in preschool age and later behavioral and cognitive outcomes: an individual participant data meta-analysis in five European cohorts.European child & adolescent psychiatry · 2024Pooled it
- Long-term cardiometabolic health in people born after assisted reproductive technology: a multi-cohort analysis.European heart journal · 2023Pooled it
- Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course: a multi-cohort study.BMC medicine · 2023Pooled it
- Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.PLoS medicine · 2023Pooled it
- Association of Assisted Reproductive Technology With Offspring Growth and Adiposity From Infancy to Early Adulthood.JAMA network open · 2022Pooled it
- Early-life infections and life course health and disease in the EU child cohort network.European journal of epidemiology · 2026Article
- The International Psychosis Epidemiology Consortium Virtual Databank-A Platform for Data Harmonization and Federated Analysis of Psychosis Cohorts.Schizophrenia bulletin · 2026Article
- Birth Weight Percentiles and Infant and Child Growth Dynamics.JAMA network open · 2026Article
- Maternal eating disorders and respiratory outcomes in childhood: findings from the EU Child Cohort Network.Thorax · 2026Article
- A Network Analysis of Built Environment Features and Depressive Symptoms over an 18-year period.medRxiv : the preprint server for health sciences · 2026Article
- Association Between Parental Social Position and Childhood Overweight: Mediation by Lifestyle and BMI Patterns During Pregnancy.Pediatric obesity · 2025Article
- An exploratory study combining Virtual Reality and Semantic Web for life science research using Graph2VR.Database : the journal of biological databases and curation · 2025Article
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- Internalising and externalising behaviour in siblings of children born preterm Preterm birth: Internalising and externalising behaviour of siblings.PLOS mental health · 2025Article
- 'dstidyverse': An Implementation ofF1000Research · 2025Article
- MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD.Bioinformatics (Oxford, England) · 2024Article
- Harmonizing Dietary Exposure of Adult and Older Individuals: A Methodological Work of the Collaborative PROMED-COG Pooled Cohorts Study.Nutrients · 2024Article
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44 authors.
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Abstract
The Horizon2020 LifeCycle Project is a cross-cohort collaboration which brings together data from multiple birth cohorts from across Europe and Australia to facilitate studies on the influence of early-life exposures on later health outcomes. A major product of this collaboration has been the establishment of a FAIR (findable, accessible, interoperable and reusable) data resource known as the EU Child Cohort Network. Here we focus on the EU Child Cohort Network's core variables. These are a set of basic variables, derivable by the majority of participating cohorts and frequently used as covariates or exposures in lifecourse research. First, we describe the process by which the list of core variables was established. Second, we explain the protocol according to which these variables were harmonised in order to make them interoperable. Third, we describe the catalogue developed to ensure that the network's data are findable and reusable. Finally, we describe the core data, including the proportion of variables harmonised by each cohort and the number of children for whom harmonised core data are available. EU Child Cohort Network data will be analysed using a federated analysis platform, removing the need to physically transfer data and thus making the data more accessible to researchers. The network will add value to participating cohorts by increasing statistical power and exposure heterogeneity, as well as facilitating cross-cohort comparisons, cross-validation and replication. Our aim is to motivate other cohorts to join the network and encourage the use of the EU Child Cohort Network by the wider research community.
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