Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization
Background: 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 cohort...
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Taylor & Francis Group
2025-12-01
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| Series: | European Journal of Psychotraumatology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/20008066.2025.2517920 |
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| author | Papoula Petri-Romão Jutta Stoffers-Winterling Charlotte Doerschner Jocelyne Jurgeit Philipp Gödde Irwin Hecker Maria Melchior Diana Czepiel Anke Witteveen Els van der Ven Marit Sijbrandij Roberto Mediavilla José Luis Ayuso-Mateos Pierre Smith Vincent Lorant Anna Monistrol Mula Josep Maria Haro Abad Katalin Gémes Ellenor Mittendorder-Rutz Matteo Monzio Compagnoni Antonio Lora Giulia Caggiu Claudia Conflitti Raffael Kalisch Klaus Lieb |
| author_facet | Papoula Petri-Romão Jutta Stoffers-Winterling Charlotte Doerschner Jocelyne Jurgeit Philipp Gödde Irwin Hecker Maria Melchior Diana Czepiel Anke Witteveen Els van der Ven Marit Sijbrandij Roberto Mediavilla José Luis Ayuso-Mateos Pierre Smith Vincent Lorant Anna Monistrol Mula Josep Maria Haro Abad Katalin Gémes Ellenor Mittendorder-Rutz Matteo Monzio Compagnoni Antonio Lora Giulia Caggiu Claudia Conflitti Raffael Kalisch Klaus Lieb |
| author_sort | Papoula Petri-Romão |
| collection | DOAJ |
| description | Background: 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.Aims: 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.Methods: Data were harmonized retrospectively according to the Maelstrom guidance. A federated data network (FDN) was created using the OBiBa software suite.Results: 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.Conclusions and outlook: 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.Trial registration: ClinicalTrials.gov identifier: NCT04556565. |
| format | Article |
| id | doaj-art-e213b09010eb4ba0bdd921a373bf5ae3 |
| institution | Kabale University |
| issn | 2000-8066 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Psychotraumatology |
| spelling | doaj-art-e213b09010eb4ba0bdd921a373bf5ae32025-08-20T03:41:53ZengTaylor & Francis GroupEuropean Journal of Psychotraumatology2000-80662025-12-0116110.1080/20008066.2025.2517920Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonizationPapoula Petri-Romão0Jutta Stoffers-Winterling1Charlotte Doerschner2Jocelyne Jurgeit3Philipp Gödde4Irwin Hecker5Maria Melchior6Diana Czepiel7Anke Witteveen8Els van der Ven9Marit Sijbrandij10Roberto Mediavilla11José Luis Ayuso-Mateos12Pierre Smith13Vincent Lorant14Anna Monistrol Mula15Josep Maria Haro Abad16Katalin Gémes17Ellenor Mittendorder-Rutz18Matteo Monzio Compagnoni19Antonio Lora20Giulia Caggiu21Claudia Conflitti22Raffael Kalisch23Klaus Lieb24Leibniz Institute of Resilience Research (LIR), Mainz, GermanyLeibniz Institute of Resilience Research (LIR), Mainz, GermanyLeibniz Institute of Resilience Research (LIR), Mainz, GermanyLeibniz Institute of Resilience Research (LIR), Mainz, GermanyLeibniz Institute of Resilience Research (LIR), Mainz, GermanyINSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP, Equipe de Recherche en Epidémiologie Sociale, ERES, Sorbonne Université, Paris, FranceINSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, IPLESP, Equipe de Recherche en Epidémiologie Sociale, ERES, Sorbonne Université, Paris, FranceClinical, Neuro and Developmental Psychology, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health Institute, VU University, Amsterdam, The NetherlandsClinical, Neuro and Developmental Psychology, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health Institute, VU University, Amsterdam, The NetherlandsClinical, Neuro and Developmental Psychology, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health Institute, VU University, Amsterdam, The NetherlandsClinical, Neuro and Developmental Psychology, and WHO Collaborating Centre for Research and Dissemination of Psychological Interventions, Amsterdam Public Health Institute, VU University, Amsterdam, The NetherlandsDepartment of Psychiatry, Universidad Autónoma de Madrid, Madrid, SpainDepartment of Psychiatry, Universidad Autónoma de Madrid, Madrid, SpainDepartment of epidemiology and public health, Sciensano, Brussels, BelgiumInstitute of Health and Society (IRSS), Université Catholique de Louvain, Brussels, BelgiumCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, SpainCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, SpainDepartment of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Instituted, Stockholm, SwedenDepartment of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Instituted, Stockholm, SwedenDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, ItalyDepartment of Mental Health and Addiction Services, Local Health Authority, Lecco, ItalyDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, ItalyDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, ItalyLeibniz Institute of Resilience Research (LIR), Mainz, GermanyLeibniz Institute of Resilience Research (LIR), Mainz, GermanyBackground: 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.Aims: 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.Methods: Data were harmonized retrospectively according to the Maelstrom guidance. A federated data network (FDN) was created using the OBiBa software suite.Results: 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.Conclusions and outlook: 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.Trial registration: ClinicalTrials.gov identifier: NCT04556565.https://www.tandfonline.com/doi/10.1080/20008066.2025.2517920Mental healthadversitystressorsresilienceCOVID-19retrospective data harmonization |
| spellingShingle | Papoula Petri-Romão Jutta Stoffers-Winterling Charlotte Doerschner Jocelyne Jurgeit Philipp Gödde Irwin Hecker Maria Melchior Diana Czepiel Anke Witteveen Els van der Ven Marit Sijbrandij Roberto Mediavilla José Luis Ayuso-Mateos Pierre Smith Vincent Lorant Anna Monistrol Mula Josep Maria Haro Abad Katalin Gémes Ellenor Mittendorder-Rutz Matteo Monzio Compagnoni Antonio Lora Giulia Caggiu Claudia Conflitti Raffael Kalisch Klaus Lieb Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization European Journal of Psychotraumatology Mental health adversity stressors resilience COVID-19 retrospective data harmonization |
| title | Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization |
| title_full | Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization |
| title_fullStr | Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization |
| title_full_unstemmed | Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization |
| title_short | Co-RESPOND: a federated network of cohorts on mental health and adversity during the COVID-19 pandemic. Challenges, solutions and recommendations for retrospective data harmonization |
| title_sort | co respond a federated network of cohorts on mental health and adversity during the covid 19 pandemic challenges solutions and recommendations for retrospective data harmonization |
| topic | Mental health adversity stressors resilience COVID-19 retrospective data harmonization |
| url | https://www.tandfonline.com/doi/10.1080/20008066.2025.2517920 |
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