在ELIXIR节点中建立研究数据管理(RDM)专业知识和培训资源

C. W. van Gelder, Alexia Cardona, B. Leskosek, Patricia Palagi
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引用次数: 1

摘要

研究数据管理(RDM)是实现FAIR(可查找、可访问、可互操作、可重用)和开放科学原则的核心。认识到RDM的重要性,ELIXIR-CONVERGE项目于2020年启动,其中包括一个关于数据管理培训和能力建设的工作包,有21个节点参与。由于明确需要传播RDM知识、实践和资源,以及对研究人员、培训人员和RDM专业人员的RDM培训材料和课程的需求,该工作包的目的是在所有节点建立一个全面、相互关联和可持续的RDM培训组合,并增加ELIXIR节点的RDM培训专业知识和能力。来自ELIXIR及其他机构的RDM专业人员、培训专家和培训师确定了节点RDM培训计划中的差距,并定义了培训发展的优先主题(DMP、数据管理、公平/元数据和可重复性)(Cardona等人,2021)。ELIXIR- converge期间,所有ELIXIR节点的协作工作产生了广泛的数据管理/数据管理(DM/DS)课程组合(Cardona等人,2021),该课程组合与节点的RDM培训策略保持一致。该组合包括通用DM/DS资源和材料,以及与上述优先主题相关的特定材料,还包括特定领域的培训材料(例如Plant Demonstrator)。课程组合可在TeSS中找到,其中的培训材料用RDM术语作了标记,以增加其可查找性,RDMkit中还包括与相关培训材料的链接。与ELIXIR培训平台合作,学习路径方法已应用于数据管理员和研究人员的RDM(例如与植物科学和系统生物学社区合作),并且正在扩展ELIXIR- goblet培训师计划,以解决RDM教学中存在的挑战。此外,在ELIXIR-CONVERGE期间,形成了一个强大的RDM培训师网络,在节点中建立了坚实的RDM培训专业知识。这个新兴的网络引起了人们对节点的极大兴趣,表明他们愿意共同开发培训材料,分享他们的知识,并为RDM培训建立最佳实践和标准。ELIXIR中与RDM培训相关的主要操作如下:(i)将组合中的RDM课程收集到特定受众的学习路径中,从而形成ELIXIR RDM课程;(ii)通过优化TeSS、RDMkit和FAIR Cookbook中的注释和链接,提高已开发课程和模块的可查找性和可重用性;(iii)鼓励在ELIXIR节点中重复使用RDM材料;(iv)通过最终确定和启动RDM培训师计划,提高节点中的RDM培训能力。2023年,ELIXIR RDM社区启动,RDM培训师网络将成为该社区不可或缺的一部分。这将提高RDM培训师的技能,扩大节点中的RDM培训能力,同时也将连接到ELIXIR之外的RDM专业人员。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building Research Data Management (RDM) Expertise and Training Resources in ELIXIR Nodes
Research data Management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, the ELIXIR-CONVERGE project was launched in 2020 and included a work package on Training & Capacity Building in Data Stewardship, in which 21 Nodes participate. Since there is a clear need for dissemination of RDM know-how, practices and resources and a demand for RDM training material and courses, for researchers, trainers and RDM professionals, the aim of the work package was to build a comprehensive, interconnected and sustainable RDM Training Portfolio across all Nodes, and to increase the RDM training expertise and capacity in ELIXIR Nodes.  RDM professionals, training experts and trainers from ELIXIR and beyond identified gaps in the Nodes’ RDM training programmes and defined priority topics (DMP, Data Stewardship, FAIR/metadata and Reproducibility) (Cardona et al, 2021) for training development. Collaborative work from all the ELIXIR Nodes during ELIXIR-CONVERGE resulted in an extensive Data Management/Data Stewardship (DM/DS) course portfolio (Cardona et al, 2021) which aligns with the Nodes’ RDM training strategies. The portfolio includes both generic DM/DS resources and materials, as well as specific materials related to the priority topics mentioned above, and it also includes training materials for specific domains (e.g. the Plant Demonstrator). The course portfolio is available in TeSS, in which training materials are tagged with RDM terms to increase their findability, and links to relevant training materials were included in RDMkit. In collaboration with the ELIXIR Training Platform, the learning paths methodology has been applied to RDM for data stewards and researchers (e.g. with the Plants Sciences and the System Biology Communities), and work is ongoing to extend the ELIXIR-GOBLET Train-the-Trainer programme to tackle the challenges that exist in teaching RDM. Moreover, during ELIXIR-CONVERGE, a strong RDM trainers network was formed, establishing solid RDM training expertise within the Nodes. This emerging network raised great interest in the Nodes, showing their willingness to work together on developing training materials, sharing their knowledge, and establishing best practices and standards for RDM training. The main RDM training related actions in ELIXIR going forward are: (i) gathering the RDM courses in the portfolio into learning paths for specific audiences, thus shaping the ELIXIR RDM curriculum, (ii) increasing findability and reusability of the developed courses and modules by optimising annotation and linking in TeSS, RDMkit and FAIR Cookbook, (iii) encouraging (re)use of the RDM materials in ELIXIR Nodes, and (iv) increasing RDM training capacity in Nodes by finalising and launching the RDM Train the Trainer programme.In 2023, the ELIXIR RDM Community was initiated, and the network of RDM trainers will be an integral part of this Community.  This will enable the upskilling of RDM trainers and scaling up RDM training capacity in the Nodes, while bridging to RDM professionals outside ELIXIR as well.   
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