Journal
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
Volume 75, Issue -, Pages 284-298Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.future.2017.01.012
Keywords
Reproducibility; Scientific workflows; Provenance; Packaging environments
Categories
Funding
- GDR CNRS MaDICS
- programme CPER Region Bretagne CeSGO
- programme Region Pays de la Loire Connect Talent (SyMeTRIC)
- call Infrastructures in Biology and Health of the French Investments for the Future [ANR-11-INBS-0012, ANR-11-INBS-0013]
Ask authors/readers for more resources
With the development of new experimental technologies, biologists are faced with an avalanche of data to be computationally analyzed for scientific advancements and discoveries to emerge. Faced with the complexity of analysis pipelines, the large number of computational tools, and the enormous amount of data to manage, there is compelling evidence that many if not most scientific discoveries will not stand the test of time: increasing the reproducibility of computed results is of paramount importance. The objective we set out in this paper is to place scientific workflows in the context of reproducibility. To do so, we define several kinds of reproducibility that can be reached when scientific workflows are used to perform experiments. We characterize and define the criteria that need to be catered for by reproducibility-friendly scientific workflow systems, and use such criteria to place several representative and widely used workflow systems and companion tools within such a framework. We also discuss the remaining challenges posed by reproducible scientific workflows in the life sciences. Our study was guided by three use cases from the life science domain involving in silico experiments. (C) 2017 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available