论文标题
公平工作流程的实用动作方法
A Practical Approach of Actions for FAIRification Workflows
论文作者
论文摘要
自2016年提出提议以来，公平原则已由不同社区和参与基础设施发展的倡议进行了很大的讨论，以增强对数据可发现性，可访问性，互操作性和重复使用的支持。实施这些原则的挑战之一在于定义一个有组织和详细的行动的精心设计过程。本文介绍了Vodan BR Pilot在COVID-19研究中生成公平数据（META）研究中所采用的动作工作流程。它提供了对过程的每个步骤的理解，并确定了他们的贡献。在这项工作中，我们还可以在可能的情况下评估（半）自动化（元）数据处理的潜在工具。尽管针对特定用例定义，但预计该工作流可以用于其他流行研究和其他领域，从而使整个科学界受益。
Since their proposal in 2016, the FAIR principles have been largely discussed by different communities and initiatives involved in the development of infrastructures to enhance support for data findability, accessibility, interoperability, and reuse. One of the challenges in implementing these principles lies in defining a well-delimited process with organized and detailed actions. This paper presents a workflow of actions that is being adopted in the VODAN BR pilot for generating FAIR (meta)data for COVID-19 research. It provides the understanding of each step of the process, establishing their contribution. In this work, we also evaluate potential tools to (semi)automatize (meta)data treatment whenever possible. Although defined for a particular use case, it is expected that this workflow can be applied for other epidemical research and in other domains, benefiting the entire scientific community.
