Umbrella Data Management Plans to integrate FAIR data: Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness

Romain David; Audrey S. Richard; Claire Connellan; Katharina B. Lauer; Maria Luisa Chiusano; Carole Goble; Martin Houde; Isabel Kemmer; Antje Keppler; Philippe Lieutaud; Christian Ohmann; Maria Panagiotopoulou; Sara Raza Khan; Arina Rybina; Stian Soiland-Reyes; Charlotte Wit; Rudolf Wittner; Rafael Andrade Buono; Sarah Arnaud Marsh; Pauline Audergon; Dylan Bonfils; Jose-Maria Carazo; Remi Charrel; Frederik Coppens; Wolfgang Fecke; Claudia Filippone; Eva Garcia Alvarez; Sheraz Gul; Henning Hermjakob; Katja Herzog; Petr Holub; Lukasz Kozera; Allyson L. Lister; José López-Coronado; Bénédicte Madon; Kurt Majcen; William Martin; Wolfgang Müller; Elli Papadopoulou; Christine M.A. Prat; Paolo Romano; Susanna-Assunta Sansone; Gary Saunders; Niklas Blomberg; Jonathan Ewbank

doi:10.5281/zenodo.7520086

Umbrella Data Management Plans to integrate FAIR data: Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness

Romain David, Audrey S. Richard, Claire Connellan, Katharina B. Lauer, Maria Luisa Chiusano, Carole Goble, Martin Houde, Isabel Kemmer, Antje Keppler, Philippe Lieutaud, Christian Ohmann, Maria Panagiotopoulou, Sara Raza Khan, Arina Rybina, Stian Soiland-Reyes, Charlotte Wit, Rudolf Wittner, Rafael Andrade Buono, Sarah Arnaud Marsh, Pauline AudergonDylan Bonfils, Jose-Maria Carazo, Remi Charrel, Frederik Coppens, Wolfgang Fecke, Claudia Filippone, Eva Garcia Alvarez, Sheraz Gul, Henning Hermjakob, Katja Herzog, Petr Holub, Lukasz Kozera, Allyson L. Lister, José López-Coronado, Bénédicte Madon, Kurt Majcen, William Martin, Wolfgang Müller, Elli Papadopoulou, Christine M.A. Prat, Paolo Romano, Susanna-Assunta Sansone, Gary Saunders, Niklas Blomberg, Jonathan Ewbank

Research output: Contribution to journal › Article

Abstract

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.

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 writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres.

Original language	English
Journal	Data Science Journal
Volume	(submitted)
DOIs	https://doi.org/10.5281/zenodo.7520086
Publication status	Submitted - 9 Jan 2023

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.5281/zenodo.7520086Licence: CC BY

BY-COVID: Beyond COVID
Goble, C. & Soiland-Reyes, S.
1/10/21 → 30/09/24
Project: Research

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David, R., Richard, A. S., Connellan, C., Lauer, K. B., Chiusano, M. L., Goble, C., Houde, M., Kemmer, I., Keppler, A., Lieutaud, P., Ohmann, C., Panagiotopoulou, M., Raza Khan, S., Rybina, A., Soiland-Reyes, S., Wit, C., Wittner, R., Andrade Buono, R., Marsh, S. A., ... Ewbank, J. (2023). Umbrella Data Management Plans to integrate FAIR data: Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness. Manuscript submitted for publication. https://doi.org/10.5281/zenodo.7520086

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title = "Umbrella Data Management Plans to integrate FAIR data: Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness",

abstract = "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{\textquoteright}s aim to furnish seamless access to its multidisciplinary catalogue of services, and to ensure that users{\textquoteright} 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.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 writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres.",

author = "Romain David and Richard, {Audrey S.} and Claire Connellan and Lauer, {Katharina B.} and Chiusano, {Maria Luisa} and Carole Goble and Martin Houde and Isabel Kemmer and Antje Keppler and Philippe Lieutaud and Christian Ohmann and Maria Panagiotopoulou and {Raza Khan}, Sara and Arina Rybina and Stian Soiland-Reyes and Charlotte Wit and Rudolf Wittner and {Andrade Buono}, Rafael and Marsh, {Sarah Arnaud} and Pauline Audergon and Dylan Bonfils and Jose-Maria Carazo and Remi Charrel and Frederik Coppens and Wolfgang Fecke and Claudia Filippone and {Garcia Alvarez}, Eva and Sheraz Gul and Henning Hermjakob and Katja Herzog and Petr Holub and Lukasz Kozera and Lister, {Allyson L.} and Jos{\'e} L{\'o}pez-Coronado and B{\'e}n{\'e}dicte Madon and Kurt Majcen and William Martin and Wolfgang M{\"u}ller and Elli Papadopoulou and Prat, {Christine M.A.} and Paolo Romano and Susanna-Assunta Sansone and Gary Saunders and Niklas Blomberg and Jonathan Ewbank",

note = "Data Science Journal (submitted)",

year = "2023",

month = jan,

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doi = "10.5281/zenodo.7520086",

language = "English",

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journal = "Data Science Journal",

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David, R, Richard, AS, Connellan, C, Lauer, KB, Chiusano, ML, Goble, C, Houde, M, Kemmer, I, Keppler, A, Lieutaud, P, Ohmann, C, Panagiotopoulou, M, Raza Khan, S, Rybina, A, Soiland-Reyes, S, Wit, C, Wittner, R, Andrade Buono, R, Marsh, SA, Audergon, P, Bonfils, D, Carazo, J-M, Charrel, R, Coppens, F, Fecke, W, Filippone, C, Garcia Alvarez, E, Gul, S, Hermjakob, H, Herzog, K, Holub, P, Kozera, L, Lister, AL, López-Coronado, J, Madon, B, Majcen, K, Martin, W, Müller, W, Papadopoulou, E, Prat, CMA, Romano, P, Sansone, S-A, Saunders, G, Blomberg, N & Ewbank, J 2023, 'Umbrella Data Management Plans to integrate FAIR data: Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness', Data Science Journal, vol. (submitted). https://doi.org/10.5281/zenodo.7520086

TY - JOUR

T1 - Umbrella Data Management Plans to integrate FAIR data

T2 - Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness

AU - David, Romain

AU - Richard, Audrey S.

AU - Connellan, Claire

AU - Lauer, Katharina B.

AU - Chiusano, Maria Luisa

AU - Goble, Carole

AU - Houde, Martin

AU - Kemmer, Isabel

AU - Keppler, Antje

AU - Lieutaud, Philippe

AU - Ohmann, Christian

AU - Panagiotopoulou, Maria

AU - Raza Khan, Sara

AU - Rybina, Arina

AU - Soiland-Reyes, Stian

AU - Wit, Charlotte

AU - Wittner, Rudolf

AU - Andrade Buono, Rafael

AU - Marsh, Sarah Arnaud

AU - Audergon, Pauline

AU - Bonfils, Dylan

AU - Carazo, Jose-Maria

AU - Charrel, Remi

AU - Coppens, Frederik

AU - Fecke, Wolfgang

AU - Filippone, Claudia

AU - Garcia Alvarez, Eva

AU - Gul, Sheraz

AU - Hermjakob, Henning

AU - Herzog, Katja

AU - Holub, Petr

AU - Kozera, Lukasz

AU - Lister, Allyson L.

AU - López-Coronado, José

AU - Madon, Bénédicte

AU - Majcen, Kurt

AU - Martin, William

AU - Müller, Wolfgang

AU - Papadopoulou, Elli

AU - Prat, Christine M.A.

AU - Romano, Paolo

AU - Sansone, Susanna-Assunta

AU - Saunders, Gary

AU - Blomberg, Niklas

AU - Ewbank, Jonathan

N1 - Data Science Journal (submitted)

PY - 2023/1/9

Y1 - 2023/1/9

N2 - 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.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 writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres.

AB - 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.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 writing of realistic DMPs using 'DMP profiles' and, in the future, the contribution of an inter RIs data steward network, to produce a Community of Practice that could be integrated into planned trans-RI competence centres.

U2 - 10.5281/zenodo.7520086

DO - 10.5281/zenodo.7520086

M3 - Article

VL - (submitted)

JO - Data Science Journal

JF - Data Science Journal

SN - 1683-1470

ER -

Umbrella Data Management Plans to integrate FAIR data: Lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness

Abstract

UN SDGs

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BY-COVID: Beyond COVID

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