Petri-Romão Papoula, Stoffers-Winterling Jutta, Doerschner Charlotte, Jurgeit Jocelyne, Gödde Philipp, Hecker Irwin, Melchior Maria, Czepiel Diana, Witteveen Anke, van der Ven Els, Sijbrandij Marit, Mediavilla Roberto, Ayuso-Mateos José Luis, Smith Pierre, Lorant Vincent, Monistrol Mula Anna, Haro Abad Josep Maria, Gémes Katalin, Mittendorder-Rutz Ellenor, Monzio Compagnoni Matteo, Lora Antonio, Caggiu Giulia, Conflitti Claudia, Kalisch Raffael, Lieb Klaus
Leibniz Institute of Resilience Research (LIR), Mainz, Germany.
INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP, Equipe de Recherche en Epidémiologie Sociale, ERES, Sorbonne Université, Paris, France.
Eur J Psychotraumatol. 2025 Dec;16(1):2517920. doi: 10.1080/20008066.2025.2517920. Epub 2025 Aug 12.
The SARS-Cov-2 pandemic was associated with a substantial rise in trauma and stressor exposure. The Co-RESPOND consortium (part of the EU horizon 2020-funded RESPOND project) has been initiated to study the impact on mental health, using longitudinal data of separate international cohorts. The Co-RESPOND initiative aims to retrospectively harmonize mental health and resilience data of ongoing longitudinal cohort studies at the individual participant level; to create an interoperable network of cohorts within a secure environment; to manage these data along with harmonization products (e.g. transformation procedures and variable dictionaries) according to the FAIR principles; and to keep this network live in order to add new data waves or to be joined by new cohorts. Data were harmonized retrospectively according to the Maelstrom guidance. A federated data network (FDN) was created using the OBiBa software suite. To date, Co-RESPOND consists of nine European cohorts and one global cohort, including 50,885 individual participants. This paper presents Co-RESPOND as a case study for retrospective harmonization of decentralized data where teams collected and transformed data without prior coordination, facing methodological as well as regulatory challenges. The process of this project is outlined in detail, so it could be applied by other researchers for future projects. Its outcomes and the resulting data harmonization products are presented. The harmonized data are now ready to be shared with external partners for analyses, and Co-RESPOND is open for more partners to join. Lessons learned throughout the project will be reported, and established classification standards will be recommended for use to generate data sets that are available for joint analyses from the start. ClinicalTrials.gov identifier: NCT04556565.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行与创伤和应激源暴露的大幅增加有关。Co-RESPOND联盟(欧盟“地平线2020”资助的RESPOND项目的一部分)已启动,旨在利用不同国际队列的纵向数据研究其对心理健康的影响。Co-RESPOND倡议旨在回顾性地在个体参与者层面协调正在进行的纵向队列研究的心理健康和恢复力数据;在安全环境中创建一个可互操作的队列网络;根据FAIR原则管理这些数据以及协调产品(如转换程序和变量词典);并维持这个网络的运行,以便添加新的数据波或接纳新的队列。数据根据Maelstrom指南进行回顾性协调。使用OBiBa软件套件创建了一个联合数据网络(FDN)。迄今为止,Co-RESPOND由九个欧洲队列和一个全球队列组成,包括50,885名个体参与者。本文将Co-RESPOND作为一个案例研究呈现,该案例涉及在团队事先未进行协调的情况下收集和转换数据、面临方法学及监管挑战的分散数据的回顾性协调。详细概述了该项目的过程,以便其他研究人员可将其应用于未来项目。展示了其成果及由此产生的数据协调产品。现已准备好将协调后的数据与外部合作伙伴共享以进行分析,并且Co-RESPOND欢迎更多合作伙伴加入。将报告在整个项目中吸取的经验教训,并推荐使用既定的分类标准来生成可从一开始就用于联合分析的数据集。ClinicalTrials.gov标识符:NCT04556565。