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