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 -