Building expertise on FAIR through evolving Bring Your Own Data (BYOD) workshops: describing the data, software, and management- focused approaches and their evolution

IF 1.3 3区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Data Intelligence Pub Date : 2023-11-07 DOI:10.1162/dint_a_00236

César H. Bernabé, Lieze Thielemans, Rajaram Kaliyaperumal, Claudio Carta, Shuxin Zhang, Celia W.G. van Gelder, Nirupama Benis, Luiz Olavo Bonino da Silva Santos, Ronald Cornet, Bruna dos Santos Vieira, Nawel Lalout, Ines Henriques, Alberto Cámara Ballesteros, Kees Burger, Martijn G. Kersloot, Friederike Ehrhart, Esther van Enckevort, Chris T. Evelo, Alasdair J. G. Gray, Marc Hanauer, Kristina Hettne, Joep de Ligt, Arnaldo Pereira, Núria Queralt-Rosinach, Erik Schultes, Domenica Taruscio, Andra Waagmeester, Mark D. Wilkinson, Egon L. Willighagen, Mascha Jansen, Barend Mons, Marco Roos, Annika Jacobsen

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引用次数: 0

Abstract

Abstract Since 2014, “Bring Your Own Data” workshops (BYODs) have been organised to inform people about the process and benefits of making resources Findable, Accessible, Interoperable, and Reusable (FAIR, and the FAIRification process). The BYOD workshops’ content and format differ depending on their goal, context, and the background and needs of participants. Data-focused BYODs educate domain experts on how to make their data FAIR to find new answers to research questions. Management-focused BYODs promote the benefits of making data FAIR and instruct project managers and policy-makers on the characteristics of FAIRification projects. Software-focused BYODs gather software developers and experts on FAIR to implement or improve software resources that are used to support FAIRification. Overall, these BYODs intend to foster collaboration between different types of stakeholders involved in data management, curation, and reuse (e.g. domain experts, trainers, developers, data owners, data analysts, FAIR experts). The BYODs also serve as an opportunity to learn what kind of support for FAIRification is needed from different communities and to develop teaching materials based on practical examples and experience. In this paper, we detail the three different structures of the BYODs and describe examples of early BYODs related to plant breeding data, and rare disease registries and biobanks, which have shaped the structure of the workshops. We discuss the latest insights into making BYODs more productive by leveraging our almost ten years of training experience in these workshops, including successes and encountered challenges. Finally, we examine how the participants’ feedback has motivated the research on FAIR, including the development of workflows and software.

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通过发展自带数据(BYOD)研讨会在FAIR上建立专业知识:描述数据、软件和以管理为重点的方法及其演变

自2014年以来，“自带数据”研讨会(byod)已经组织起来，向人们介绍使资源可查找、可访问、可互操作和可重用(FAIR和FAIRification过程)的过程和好处。BYOD研讨会的内容和形式根据其目标、背景、参与者的背景和需求而有所不同。以数据为中心的byod教育领域专家如何使他们的数据公平，以找到研究问题的新答案。以管理为中心的byod促进了数据公平的好处，并指导项目经理和政策制定者了解公平项目的特点。以软件为中心的byod聚集了FAIR的软件开发人员和专家，以实现或改进用于支持FAIRification的软件资源。总的来说，这些byod旨在促进参与数据管理、管理和重用的不同类型利益相关者之间的协作(例如领域专家、培训师、开发人员、数据所有者、数据分析师、FAIR专家)。自带设备还提供了一个机会，可以了解不同社区需要什么样的支持来促进公平化，并根据实际例子和经验编写教材。在本文中，我们详细介绍了三种不同的byod结构，并描述了与植物育种数据、罕见疾病登记和生物库相关的早期byod的例子，这些例子塑造了研讨会的结构。通过利用我们在这些研讨会上近十年的培训经验，包括成功和遇到的挑战，我们讨论了使byod更有效率的最新见解。最后，我们研究了参与者的反馈如何推动了FAIR的研究，包括工作流程和软件的开发。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

6.50

自引率

15.40%

发文量

审稿时长

8 weeks