Translational research (TR) has been extensively used in the health science domain, where results from laboratory research are translated to human studies and where evidence-based practices are adopted in real-world settings to reach broad communities. In computer science, much research stops at the result publication and dissemination stage without moving to the evaluation in real settings at scale and feeding the gained knowledge back to research. Additionally, there is a lack of steady funding and incentives to broadly promote translational computer science (TCS) in practice. In this paper, we present how, throughout its lifespan, the Pegasus workflow management system project has incorporated the principles of translational computer science. We report on our experience on building a strong, long-term engagement with a broad range of science communities to establish mutually beneficial relationships between the core R&D team and these communities.

转化研究（TR）已在健康科学领域得到了广泛的应用，其中实验室研究的结果被转化为人体研究，并且在现实世界中采用了基于证据的实践以覆盖广泛的社区。在计算机科学中，许多研究都停留在结果发布和发布阶段，而没有大规模进行实际环境中的评估并将获得的知识反馈给研究。此外，缺乏稳定的资金和激励措施来广泛推广实践中的翻译计算机科学（TCS）。在本文中，我们介绍了Pegasus工作流管理系统项目在其整个生命周期中是如何融入转换计算机科学原理的。我们报告我们在建立强大，