Data management in balance - a decade of balancing pragmatism, sustainability and innovation at plant research center IPK Gatersleben.

IF 1.8 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Journal of Integrative Bioinformatics Pub Date : 2025-05-30 eCollection Date: 2025-03-01 DOI:10.1515/jib-2025-0012
Danuta Schüler, Matthias Lange, Thomas Altmann, Maria Cuacos, Daniel Arend, John Charles D'Auria, Anne Fiebig, Jochen Kumlehn, Kerstin Neumann, Michael Melzer, Elena Rey-Mazón, Hardy Rolletschek, Uwe Scholz, Evelin Willner, Jochen C Reif
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Abstract

The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben is a leading international plant science institute specializing in biodiversity and crop plant performance research. Over the last decade, all phases of the research data lifecycle were implemented as a continuous process in conjunction with information technology, standardization, and sustainable research data management (RDM) processes. Under the leadership of a team of data stewards, a research data infrastructure, process landscape, capacity building, and governance structures were successfully established. As a result, a generic research data infrastructure was created to serve the principles of good scientific practice, archiving research data in an accessible and sustainable manner, even before the FAIR criteria were formulated. In this paper, we discuss success stories as well as pitfalls and summarize the experiences from 15 years of operating a central RDM infrastructure. We present measures for agile requirements engineering, technical and organizational implementation, governance, training, and roll-out. We show the benefits of a participatory approach across all departments, personnel roles, and researcher profiles through pilot working groups and data management champions. As a result, an ambidextrous approach to data management was implemented, referring to the ability to efficiently combine operational needs, support daily tasks in compliance with the FAIR criteria, while remaining open to adopting technical innovations in an agile manner.

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平衡的数据管理- IPK Gatersleben工厂研究中心十年来平衡实用主义,可持续性和创新。
盖特斯莱本莱布尼茨植物遗传与作物研究所(IPK)是一家领先的国际植物科学研究所,专门从事生物多样性和作物植物性能研究。在过去的十年中,研究数据生命周期的所有阶段都与信息技术、标准化和可持续研究数据管理(RDM)过程相结合,作为一个连续的过程来实施。在数据管理员团队的领导下,成功建立了研究数据基础设施、流程环境、能力建设和治理结构。结果,创建了一个通用的研究数据基础设施,以服务于良好科学实践的原则,以可访问和可持续的方式存档研究数据,甚至在FAIR标准制定之前。在本文中,我们讨论了成功案例和缺陷,并总结了15年来运行中央RDM基础设施的经验。我们提出了敏捷需求工程、技术和组织实现、治理、培训和推出的度量。我们通过试点工作组和数据管理冠军展示了跨所有部门、人员角色和研究人员概况的参与式方法的好处。因此,实施了一种双灵巧的数据管理方法,指的是有效结合运营需求的能力,支持符合FAIR标准的日常任务,同时保持以敏捷方式采用技术创新的开放性。
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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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