Galaxy: A Decade of Realising CWFR Concepts

8Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

Despite recent encouragement to follow the FAIR principles, the day-to-day research practices have not changed substantially. Due to new developments and the increasing pressure to apply best practices, initiatives to improve the efficiency and reproducibility of scientific workflows are becoming more prevalent. In this article, we discuss the importance of well-annotated tools and the specific requirements to ensure reproducible research with FAIR outputs. We detail how Galaxy, an open-source workflow management system with a web-based interface, has implemented the concepts that are put forward by the Canonical Workflow Framework for Research (CWFR), whilst minimising changes to the practices of scientific communities. Although we showcase concrete applications from two different domains, this approach is generalisable to any domain and particularly useful in interdisciplinary research and science-based applications.

Cite

CITATION STYLE

APA

Serrano-Solano, B., Fouilloux, A., Eguinoa, I., Kalaš, M., Grüning, B., & Coppens, F. (2022). Galaxy: A Decade of Realising CWFR Concepts. Data Intelligence, 4(2), 358–371. https://doi.org/10.1162/dint_a_00136

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free