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The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables
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 establ...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159791/ https://www.ncbi.nlm.nih.gov/pubmed/33884544 http://dx.doi.org/10.1007/s10654-021-00733-9 |
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author | Pinot de Moira, Angela Haakma, Sido Strandberg-Larsen, Katrine van Enckevort, Esther Kooijman, Marjolein Cadman, Tim Cardol, Marloes Corpeleijn, Eva Crozier, Sarah Duijts, Liesbeth Elhakeem, Ahmed Eriksson, Johan G. Felix, Janine F. Fernández-Barrés, Sílvia Foong, Rachel E. Forhan, Anne Grote, Veit Guerlich, Kathrin Heude, Barbara Huang, Rae-Chi Järvelin, Marjo-Riitta Jørgensen, Anne Cathrine Mikkola, Tuija M. Nader, Johanna L. T. Pedersen, Marie Popovic, Maja Rautio, Nina Richiardi, Lorenzo Ronkainen, Justiina Roumeliotaki, Theano Salika, Theodosia Sebert, Sylvain Vinther, Johan L. Voerman, Ellis Vrijheid, Martine Wright, John Yang, Tiffany C. Zariouh, Faryal Charles, Marie-Aline Inskip, Hazel Jaddoe, Vincent W. V. Swertz, Morris A. Nybo Andersen, Anne-Marie |
author_facet | Pinot de Moira, Angela Haakma, Sido Strandberg-Larsen, Katrine van Enckevort, Esther Kooijman, Marjolein Cadman, Tim Cardol, Marloes Corpeleijn, Eva Crozier, Sarah Duijts, Liesbeth Elhakeem, Ahmed Eriksson, Johan G. Felix, Janine F. Fernández-Barrés, Sílvia Foong, Rachel E. Forhan, Anne Grote, Veit Guerlich, Kathrin Heude, Barbara Huang, Rae-Chi Järvelin, Marjo-Riitta Jørgensen, Anne Cathrine Mikkola, Tuija M. Nader, Johanna L. T. Pedersen, Marie Popovic, Maja Rautio, Nina Richiardi, Lorenzo Ronkainen, Justiina Roumeliotaki, Theano Salika, Theodosia Sebert, Sylvain Vinther, Johan L. Voerman, Ellis Vrijheid, Martine Wright, John Yang, Tiffany C. Zariouh, Faryal Charles, Marie-Aline Inskip, Hazel Jaddoe, Vincent W. V. Swertz, Morris A. Nybo Andersen, Anne-Marie |
author_sort | Pinot de Moira, Angela |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-021-00733-9. |
format | Online Article Text |
id | pubmed-8159791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-81597912021-06-01 The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables Pinot de Moira, Angela Haakma, Sido Strandberg-Larsen, Katrine van Enckevort, Esther Kooijman, Marjolein Cadman, Tim Cardol, Marloes Corpeleijn, Eva Crozier, Sarah Duijts, Liesbeth Elhakeem, Ahmed Eriksson, Johan G. Felix, Janine F. Fernández-Barrés, Sílvia Foong, Rachel E. Forhan, Anne Grote, Veit Guerlich, Kathrin Heude, Barbara Huang, Rae-Chi Järvelin, Marjo-Riitta Jørgensen, Anne Cathrine Mikkola, Tuija M. Nader, Johanna L. T. Pedersen, Marie Popovic, Maja Rautio, Nina Richiardi, Lorenzo Ronkainen, Justiina Roumeliotaki, Theano Salika, Theodosia Sebert, Sylvain Vinther, Johan L. Voerman, Ellis Vrijheid, Martine Wright, John Yang, Tiffany C. Zariouh, Faryal Charles, Marie-Aline Inskip, Hazel Jaddoe, Vincent W. V. Swertz, Morris A. Nybo Andersen, Anne-Marie Eur J Epidemiol Data Resource 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-021-00733-9. Springer Netherlands 2021-04-21 2021 /pmc/articles/PMC8159791/ /pubmed/33884544 http://dx.doi.org/10.1007/s10654-021-00733-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Resource Pinot de Moira, Angela Haakma, Sido Strandberg-Larsen, Katrine van Enckevort, Esther Kooijman, Marjolein Cadman, Tim Cardol, Marloes Corpeleijn, Eva Crozier, Sarah Duijts, Liesbeth Elhakeem, Ahmed Eriksson, Johan G. Felix, Janine F. Fernández-Barrés, Sílvia Foong, Rachel E. Forhan, Anne Grote, Veit Guerlich, Kathrin Heude, Barbara Huang, Rae-Chi Järvelin, Marjo-Riitta Jørgensen, Anne Cathrine Mikkola, Tuija M. Nader, Johanna L. T. Pedersen, Marie Popovic, Maja Rautio, Nina Richiardi, Lorenzo Ronkainen, Justiina Roumeliotaki, Theano Salika, Theodosia Sebert, Sylvain Vinther, Johan L. Voerman, Ellis Vrijheid, Martine Wright, John Yang, Tiffany C. Zariouh, Faryal Charles, Marie-Aline Inskip, Hazel Jaddoe, Vincent W. V. Swertz, Morris A. Nybo Andersen, Anne-Marie The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables |
title | The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables |
title_full | The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables |
title_fullStr | The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables |
title_full_unstemmed | The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables |
title_short | The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables |
title_sort | eu child cohort network’s core data: establishing a set of findable, accessible, interoperable and re-usable (fair) variables |
topic | Data Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159791/ https://www.ncbi.nlm.nih.gov/pubmed/33884544 http://dx.doi.org/10.1007/s10654-021-00733-9 |
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