Citation:
Thomas Pasquier, Matthew K. Lau, Xueyuan Han, Elizabeth Fong, Barbara S. Lerner, Emery Boose, Mercè Crosas, Aaron Ellison, and Margo Seltzer. 7/2018. “Sharing and Preserving Computational Analyses for Posterity with encapsulator.” Computing in Science and Engineering (CiSE). Publisher's Version
Abstract:
Open data and open-source software may be part of the solution to sciences 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.