Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness

The Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 research infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficient and structured treatment of data is central to...

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Main Authors: David, R, Richard, AS, Connellan, C, Lister, A, Romano, P, Sansone, S
Format: Journal article
Language:English
Published: Ubiquity Press 2023
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author David, R
Richard, AS
Connellan, C
Lister, A
Romano, P
Sansone, S
author_facet David, R
Richard, AS
Connellan, C
Lister, A
Romano, P
Sansone, S
author_sort David, R
collection OXFORD
description The Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 research infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficient and structured treatment of data is central to ISIDORe’s aim to furnish seamless access to its multidisciplinary catalogue of services, and to ensure that users’ results are treated FAIRly. ISIDORe therefore requires a data management plan (DMP) covering both access management and research outputs, applicable over a broad range of disciplines, and compatible with the constraints and existing practices of its diverse partners. <br> Here, we describe how, to achieve that aim, we undertook an iterative, step-by-step, process to build a community-approved living document, identifying good practices and processes, on the basis of use cases, presented as proof of concepts. International fora such as the RDA and EOSC, and primarily the BY-COVID project, furnished registries, tools and online data platforms, as well as standards, and the support of data scientists. Together, these elements provide a path for building an umbrella, FAIR-compliant DMP, aligned as fully as possible with FAIR principles, which could also be applied as a framework for data management harmonisation in other large-scale, challenge-driven projects. Finally, we discuss how data management and reuse can be further improved through the use of knowledge models when writing DMPs and, how, in the future, an inter-RI network of data stewards could contribute to the establishment of a community of practice, to be integrated subsequently into planned trans-RI competence centres.
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spelling oxford-uuid:15ce5aa7-3c17-46ea-8582-5d0a65d148ef2023-11-06T20:32:21ZUmbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic PreparednessJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:15ce5aa7-3c17-46ea-8582-5d0a65d148efEnglishSymplectic ElementsUbiquity Press2023David, RRichard, ASConnellan, CLister, ARomano, PSansone, SThe Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 research infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficient and structured treatment of data is central to ISIDORe’s aim to furnish seamless access to its multidisciplinary catalogue of services, and to ensure that users’ results are treated FAIRly. ISIDORe therefore requires a data management plan (DMP) covering both access management and research outputs, applicable over a broad range of disciplines, and compatible with the constraints and existing practices of its diverse partners. <br> Here, we describe how, to achieve that aim, we undertook an iterative, step-by-step, process to build a community-approved living document, identifying good practices and processes, on the basis of use cases, presented as proof of concepts. International fora such as the RDA and EOSC, and primarily the BY-COVID project, furnished registries, tools and online data platforms, as well as standards, and the support of data scientists. Together, these elements provide a path for building an umbrella, FAIR-compliant DMP, aligned as fully as possible with FAIR principles, which could also be applied as a framework for data management harmonisation in other large-scale, challenge-driven projects. Finally, we discuss how data management and reuse can be further improved through the use of knowledge models when writing DMPs and, how, in the future, an inter-RI network of data stewards could contribute to the establishment of a community of practice, to be integrated subsequently into planned trans-RI competence centres.
spellingShingle David, R
Richard, AS
Connellan, C
Lister, A
Romano, P
Sansone, S
Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness
title Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness
title_full Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness
title_fullStr Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness
title_full_unstemmed Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness
title_short Umbrella data management plans to integrate FAIR data: lessons from the ISIDORe and BY-COVID Consortia for Pandemic Preparedness
title_sort umbrella data management plans to integrate fair data lessons from the isidore and by covid consortia for pandemic preparedness
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