Umbrella Data Management Plans to Integrate FAIR Data: Lessons From the ISIDORe and BY-COVID Consortia for Pandemic Preparedness

Q2 Computer Science Data Science Journal Pub Date : 2023-09-18 DOI:10.5334/dsj-2023-035
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
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引用次数: 2

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. 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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整合公平数据的伞形数据管理计划:来自ISIDORe和BY-COVID联盟的大流行防范经验
欧洲地平线项目ISIDORe致力于大流行病的防范和应对研究。它汇集了17个研究基础设施和网络,为传染病研究人员提供广泛的服务。ISIDORe的目标是提供对其多学科服务目录的无缝访问,并确保公平对待用户的结果,对数据进行有效和结构化的处理是其目标的核心。因此,ISIDORe需要一个数据管理计划(DMP),涵盖访问管理和研究成果,适用于广泛的学科,并与不同合作伙伴的限制和现有做法兼容。在这里,我们描述了如何实现这一目标,我们进行了一个迭代的、一步一步的过程来构建一个社区认可的活文档,在用例的基础上确定良好的实践和过程,作为概念的证明。RDA和EOSC等国际论坛,主要是BY-COVID项目,提供了注册表、工具和在线数据平台以及标准,并提供了数据科学家的支持。总之,这些要素为构建符合公平原则的总体数据管理方案提供了一条途径,该方案尽可能与公平原则保持一致,也可以作为数据管理协调框架应用于其他大型挑战驱动型项目。最后,我们讨论了在编写dmp时如何通过使用知识模型来进一步改进数据管理和重用,以及在未来,数据管理员的国际间网络如何有助于建立一个实践社区,随后将其整合到计划中的国际间能力中心。
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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