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FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort study

机译:公平,安全和高质量的数据:青年队列研究的数据基础设施和可访问性

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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.
机译:青年队列研究旨在成为开放科学的开拓者。作为一个大规模的纵向队员,在他们的发展中从妊娠期到成年早期,青少年通过各种研究技术收集大量数据。通过多个平台收集数据,包括乌得勒支大学和大学医疗中心Utrecht管理的设施。为了促进通过研究组织和研究人员适当使用其数据,青年旨在生产高质量的公平数据,同时维护参与者的隐私。这需要一个广泛的数据基础设施,由研究人员,数据经理,IT部门和乌得勒支大学图书馆的协同努力建立。本着开放科学的精神,青年将分享其经验和专业知识,为敏感队列数据建立高质量的研究数据基础设施。本文介绍了我们的数据和数据基础设施的技术方面,以及在整个研究中采取的步骤,生产和安全地存储公平和高质量的数据。最后,我们将反映有利于建立这样的企业成功的组织方面,我们认为个人研究投资可持续科学的个人研究所带来的财务挑战。

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