Abstract

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 …

Date

May 1, 2021

Authors

Ewa Deelman, Rafael Ferreira da Silva, Karan Vahi, Mats Rynge, Rajiv Mayani, Ryan Tanaka, Wendy Whitcup, Miron Livny

Journal

Journal of Computational Science

Volume

52

Pages

101200

Publisher

Elsevier