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FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study
The YOUth cohort study aims to be a trailblazer for open science. Being a large-scale, longitudinal cohort following children in their development from gestation until early adulthood, YOUth collects a vast amount of data through a variety of research techniques. Data are collected through multiple...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481825/ https://www.ncbi.nlm.nih.gov/pubmed/32906086 http://dx.doi.org/10.1016/j.dcn.2020.100834 |
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author | Zondergeld, Jelmer J. Scholten, Ron H.H. Vreede, Barbara M.I. Hessels, Roy S. Buizer-Voskamp, Jacobine E. Rasch, Menno Lange, Otto A. Veldkamp, Coosje L.S. |
author_facet | Zondergeld, Jelmer J. Scholten, Ron H.H. Vreede, Barbara M.I. Hessels, Roy S. Buizer-Voskamp, Jacobine E. Rasch, Menno Lange, Otto A. Veldkamp, Coosje L.S. |
author_sort | Zondergeld, Jelmer J. |
collection | PubMed |
description | The YOUth cohort study aims to be a trailblazer for open science. Being a large-scale, longitudinal cohort following children in their development from gestation until early adulthood, YOUth collects a vast amount of data through a variety of research techniques. Data are collected through multiple platforms, including facilities managed by Utrecht University and the University Medical Center Utrecht. In order to facilitate appropriate use of its data by research organizations and researchers, YOUth aims to produce high-quality, FAIR data while safeguarding the privacy of participants. This requires an extensive data infrastructure, set up by collaborative efforts of researchers, data managers, IT departments, and the Utrecht University Library. In the spirit of open science, YOUth will share its experience and expertise in setting up a high-quality research data infrastructure for sensitive cohort data. This paper describes the technical aspects of our data and data infrastructure, and the steps taken throughout the study to produce and safely store FAIR and high-quality data. Finally, we will reflect on the organizational aspects that are conducive to the success of setting up such an enterprise, and we consider the financial challenges posed by individual studies investing in sustainable science. |
format | Online Article Text |
id | pubmed-7481825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74818252020-09-16 FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study Zondergeld, Jelmer J. Scholten, Ron H.H. Vreede, Barbara M.I. Hessels, Roy S. Buizer-Voskamp, Jacobine E. Rasch, Menno Lange, Otto A. Veldkamp, Coosje L.S. Dev Cogn Neurosci Original Research The YOUth cohort study aims to be a trailblazer for open science. Being a large-scale, longitudinal cohort following children in their development from gestation until early adulthood, YOUth collects a vast amount of data through a variety of research techniques. Data are collected through multiple platforms, including facilities managed by Utrecht University and the University Medical Center Utrecht. In order to facilitate appropriate use of its data by research organizations and researchers, YOUth aims to produce high-quality, FAIR data while safeguarding the privacy of participants. This requires an extensive data infrastructure, set up by collaborative efforts of researchers, data managers, IT departments, and the Utrecht University Library. In the spirit of open science, YOUth will share its experience and expertise in setting up a high-quality research data infrastructure for sensitive cohort data. This paper describes the technical aspects of our data and data infrastructure, and the steps taken throughout the study to produce and safely store FAIR and high-quality data. Finally, we will reflect on the organizational aspects that are conducive to the success of setting up such an enterprise, and we consider the financial challenges posed by individual studies investing in sustainable science. Elsevier 2020-08-05 /pmc/articles/PMC7481825/ /pubmed/32906086 http://dx.doi.org/10.1016/j.dcn.2020.100834 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Zondergeld, Jelmer J. Scholten, Ron H.H. Vreede, Barbara M.I. Hessels, Roy S. Buizer-Voskamp, Jacobine E. Rasch, Menno Lange, Otto A. Veldkamp, Coosje L.S. FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study |
title | FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study |
title_full | FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study |
title_fullStr | FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study |
title_full_unstemmed | FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study |
title_short | FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study |
title_sort | fair, safe and high-quality data: the data infrastructure and accessibility of the youth cohort study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481825/ https://www.ncbi.nlm.nih.gov/pubmed/32906086 http://dx.doi.org/10.1016/j.dcn.2020.100834 |
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