Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience
Introduction European researchers are collaborating in the EU Horizon 2020-funded project “RESPOND” to address the psychological and psychosocial effects of the Covid 19 pandemic in order to prepare health systems for future crises. In the Co-RESPOND subproject, several longitudinal cohorts are co...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-03-01
|
| Series: | European Psychiatry |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933823021983/type/journal_article |
| _version_ | 1827754918181601280 |
|---|---|
| author | J. Stoffers-Winterling P. Petri-Romão C. Doerschner M. Melchior M. Sijbrandij R. Kalisch K. Lieb |
| author_facet | J. Stoffers-Winterling P. Petri-Romão C. Doerschner M. Melchior M. Sijbrandij R. Kalisch K. Lieb |
| author_sort | J. Stoffers-Winterling |
| collection | DOAJ |
| description |
Introduction
European researchers are collaborating in the EU Horizon 2020-funded project “RESPOND” to address the psychological and psychosocial effects of the Covid 19 pandemic in order to prepare health systems for future crises. In the Co-RESPOND subproject, several longitudinal cohorts are contributing to an individual participant data (IPD) meta-analysis.
Objectives
Co-RESPOND aims to assess trajectories of mental health and resilience, and to identify relevant moderators using a meta-analysis of individual participant data (“IPD”) approach. Moreover, a research network of European cohorts is being established alongside a sustainable shared IT infrastructure. Co-RESPOND aims to publish the results of the collaboration in a findable, accessible, interoperable and reusable way according to the “FAIR publication” principles.
Methods
To achieve these aims, a federated network for remote data analysis is being built. In this talk we describe the steps necessary to join existing cohorts into one network, and which challenges need to be met: First, existing data sets need to be harmonized retrospectively, second, data sharing and processing needs to be done in accordance with the GDPR requirements, and third, a technical solution needs to be found to facilitate joint analyses and publication of the network and its products.
Results
We identified the Maelstroem guidelines for retrospective data harmonisation of epidemiologic studies as appropriate guidance to carry out and document the transformation of individual data sets. The OBiBa software suite is used to build the IT infrastructure of the project by connecting local data servers of the study sites and making them available for remote analyses by other partners. As of autumn 2022, data transformation is finalized and data sets uploaded on the local servers. A platform on the internet is created where the main characteristics of all participating cohorts (“meta-data”) are catalogued to help them gain visibility and make them findable for future joint projects. The Co-RESPOND network will be open for more partner cohorts to join.
Conclusions
The Covid pandemic has stimulated lots of international remote collaborations, and federated networks for data analyses are increasingly used as a means of enhancing the value of existing data sets. User-friendly and cost-free software solutions are already available (e.g., OBiBa) to facilitate such endeavours. However, researchers intiating cohort studies should be aware of such technology and methods and consider the use of their data in overarching collaborations from the start. We conclude with concrete recommendations how to optimize the design of epidemiologic data collections to enhance their interoperability with other cohorts, e.g., by using international coding standards.
Disclosure of Interest
None Declared |
| first_indexed | 2024-03-11T07:56:16Z |
| format | Article |
| id | doaj.art-e906b5b3af164c37bf0da21b674bf177 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:56:16Z |
| publishDate | 2023-03-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-e906b5b3af164c37bf0da21b674bf1772023-11-17T05:05:44ZengCambridge University PressEuropean Psychiatry0924-93381778-35852023-03-0166S1036S103710.1192/j.eurpsy.2023.2198Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilienceJ. Stoffers-Winterling0P. Petri-Romão1C. Doerschner2M. Melchior3M. Sijbrandij4R. Kalisch5K. Lieb6Leibniz Institute for Resilience research, Mainz, GermanyLeibniz Institute for Resilience research, Mainz, GermanyLeibniz Institute for Resilience research, Mainz, GermanyDepartment of Social Epidemiology (ERES), Sorbonne Université - Faculté de Médecine, Paris, FranceVrije Universiteit Amsterdam, Amsterdam, NetherlandsLeibniz Institute for Resilience research, Mainz, GermanyLeibniz Institute for Resilience research, Mainz, Germany Introduction European researchers are collaborating in the EU Horizon 2020-funded project “RESPOND” to address the psychological and psychosocial effects of the Covid 19 pandemic in order to prepare health systems for future crises. In the Co-RESPOND subproject, several longitudinal cohorts are contributing to an individual participant data (IPD) meta-analysis. Objectives Co-RESPOND aims to assess trajectories of mental health and resilience, and to identify relevant moderators using a meta-analysis of individual participant data (“IPD”) approach. Moreover, a research network of European cohorts is being established alongside a sustainable shared IT infrastructure. Co-RESPOND aims to publish the results of the collaboration in a findable, accessible, interoperable and reusable way according to the “FAIR publication” principles. Methods To achieve these aims, a federated network for remote data analysis is being built. In this talk we describe the steps necessary to join existing cohorts into one network, and which challenges need to be met: First, existing data sets need to be harmonized retrospectively, second, data sharing and processing needs to be done in accordance with the GDPR requirements, and third, a technical solution needs to be found to facilitate joint analyses and publication of the network and its products. Results We identified the Maelstroem guidelines for retrospective data harmonisation of epidemiologic studies as appropriate guidance to carry out and document the transformation of individual data sets. The OBiBa software suite is used to build the IT infrastructure of the project by connecting local data servers of the study sites and making them available for remote analyses by other partners. As of autumn 2022, data transformation is finalized and data sets uploaded on the local servers. A platform on the internet is created where the main characteristics of all participating cohorts (“meta-data”) are catalogued to help them gain visibility and make them findable for future joint projects. The Co-RESPOND network will be open for more partner cohorts to join. Conclusions The Covid pandemic has stimulated lots of international remote collaborations, and federated networks for data analyses are increasingly used as a means of enhancing the value of existing data sets. User-friendly and cost-free software solutions are already available (e.g., OBiBa) to facilitate such endeavours. However, researchers intiating cohort studies should be aware of such technology and methods and consider the use of their data in overarching collaborations from the start. We conclude with concrete recommendations how to optimize the design of epidemiologic data collections to enhance their interoperability with other cohorts, e.g., by using international coding standards. Disclosure of Interest None Declaredhttps://www.cambridge.org/core/product/identifier/S0924933823021983/type/journal_article |
| spellingShingle | J. Stoffers-Winterling P. Petri-Romão C. Doerschner M. Melchior M. Sijbrandij R. Kalisch K. Lieb Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience European Psychiatry |
| title | Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience |
| title_full | Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience |
| title_fullStr | Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience |
| title_full_unstemmed | Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience |
| title_short | Co-RESPOND - a European federated network of longitudinal cohorts investigating the effects of the Covid-19 pandemic on mental health and resilience |
| title_sort | co respond a european federated network of longitudinal cohorts investigating the effects of the covid 19 pandemic on mental health and resilience |
| url | https://www.cambridge.org/core/product/identifier/S0924933823021983/type/journal_article |
| work_keys_str_mv | AT jstofferswinterling corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience AT ppetriromao corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience AT cdoerschner corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience AT mmelchior corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience AT msijbrandij corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience AT rkalisch corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience AT klieb corespondaeuropeanfederatednetworkoflongitudinalcohortsinvestigatingtheeffectsofthecovid19pandemiconmentalhealthandresilience |