Sharing and Preserving Computational Analyses for Posterity with encapsulator
Thomas Pasquier, Matthew K. Lau, Xueyuan Han, Elizabeth Fong, and Barbara S. Lerner, Emery Boose, Merce Crosas, Aaron M. Ellison, and Margo Seltzer

TL;DR
Encapsulator offers a user-friendly tool to create self-contained computational environments, ensuring reproducibility of research by preserving code and dependencies in a 'time capsule' for future access.
Contribution
It introduces encapsulator, a novel system that simplifies the creation of reproducible research environments with minimal user expertise.
Findings
Enables preservation of computational analyses as self-contained environments.
Facilitates reproducibility without requiring extensive technical skills.
Provides a desktop environment for easy access and sharing of research workflows.
Abstract
Open data and open-source software may be part of the solution to science's "reproducibility crisis", but they are insufficient to guarantee reproducibility. Requiring minimal end-user expertise, encapsulator creates a "time capsule" with reproducible code in a self-contained computational environment. encapsulator provides end-users with a fully-featured desktop environment for reproducible research.
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Taxonomy
TopicsScientific Computing and Data Management · Research Data Management Practices · Distributed and Parallel Computing Systems
