Sharing and preserving computational analyses for posterity with encapsulator

Thomas Pasquier, Matthew K. Lau, Xueyuan Han, Elizabeth Fong, Barbara S. Lerner, Emery R. Boose, Merce Crosas, Aaron M. Ellison, Margo Seltzer

Research output: Contribution to journalArticle (Academic Journal)

2 Citations (Scopus)
111 Downloads (Pure)

Abstract

Open data and open source software might be part of the solution to sciences reproducibility crisis, but they are insufficient to guarantee reproducibility. Requiring minimal end-user expertise, the encapsulator system 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.

Original languageEnglish
Pages (from-to)111-124
Number of pages14
JournalComputing in Science and Engineering
Volume20
Issue number4
Early online date10 Jul 2018
DOIs
Publication statusPublished - Aug 2018

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Keywords

  • computational reproducibility
  • provenance
  • reproducible code
  • reproducible research
  • scientific computing
  • software artifact

Cite this

Pasquier, T., Lau, M. K., Han, X., Fong, E., Lerner, B. S., Boose, E. R., Crosas, M., Ellison, A. M., & Seltzer, M. (2018). Sharing and preserving computational analyses for posterity with encapsulator. Computing in Science and Engineering, 20(4), 111-124. https://doi.org/10.1109/MCSE.2018.042781334