Umbrella Data Management Plans to integrate FAIR data:  lessons from the ISIDORe and BY-COVID consortia for pandemic preparedness
Creators: name: David, Romain
name: Richard, Audrey S.
name: Connellan, Claire
name: Lauer, Katharina B
name: Chiusano, Maria Luisa
name: Goble, Carole
name: Houde, martin
name: Kemmer, Isabel
name: Keppler, Antje
name: Lieutaud, Philippe
name: Ohmann, Christian
name: Panagiotopoulou, Maria
name: Raza Khan, Sara
name: Rybina, Arina
name: Soiland-Reyes, Stian
name: Wit, Charlotte
name: Wittner, Rudolf
name: Andrade Buono, Rafael
name: Arnaud Marsh, Sarah
name: Audergon, Pauline
name: Bonfils, Dylan
name: Carazo, Jose-Maria
name: Charrel, Remi
name: Coppens, Frederik
name: Fecke, Wolfgang
name: Filippone, Claudia
name: Garcia Alvarez, Eva
name: Gul, Sheraz
name: Hermjakob, Henning
name: Herzog, Katja
name: Holub, Petr
name: Kozera, Lukasz
name: Lister, Allyson L.
name: López-Coronado, José
name: Madon, Bénédicte
name: Majcen, Kurt
name: Martin, William
name: Müller, Wolfgang
name: Papadopoulou, Elli
name: Prat, Christine M.A.
name: Romano, Paolo
name: Sansone, Susanna-Assunta
name: Saunders, Gary
name: Blomberg, Niklas
name: Ewbank, Jonathan
Publisher: name: Research Data Alliance
Year: 2023
Subjects: Data Management Plan
DMP
Research Data Management
RDM
data management quality
research data
pandemic
outbreak
data services harmonisation
data reuse
FAIR principles
data stewards

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.
In this poster, as an overview of a peer reviewed paper, 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, 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. We propose as a take home message how we will work in this inter RIs network, reusing outcomes from Research Data Alliance, on a multidisciplinary minimal requirement for metadata to enhance inter RIs FAIR data sharing for pandemic preparedness.