一种实用的公平化工作流行动方法
A Practical Approach of Actions for FAIRification Workflows
摘要：
自2016年提出以来，FAIR原则已被参与基础设施开发的不同社区和计划广泛讨论，以增强对数据可查找性，可访问性，互操作性和重用的支持。执行这些原则的挑战之一是界定一个界限明确的进程，其中包括有组织的详细行动。本文介绍了VODAN BR试点中采用的行动工作流程，用于为COVID-19研究生成FAIR（Meta）数据。它提供了对过程中每一步的理解，确定了它们的贡献。在这项工作中，我们还评估了潜在的工具，（半）自动化（Meta）数据处理只要有可能。虽然是针对特定用例定义的，但预计该工作流程可以应用于其他化学研究和其他领域，从而使整个科学界受益。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
