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

doi:10.1109/MCSE.2018.042781334

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 journal › Article (Academic Journal) › peer-review

13 Citations (Scopus)

272 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 language	English
Pages (from-to)	111-124
Number of pages	14
Journal	Computing in Science and Engineering
Volume	20
Issue number	4
Early online date	10 Jul 2018
DOIs	https://doi.org/10.1109/MCSE.2018.042781334
Publication status	Published - Aug 2018

Keywords

computational reproducibility
provenance
reproducible code
reproducible research
scientific computing
software artifact

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10.1109/MCSE.2018.042781334

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This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at https://doi.org/10.1109/MCSE.2018.042781334 . Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 825 KBLicence: Other

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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.",

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AU - Pasquier, Thomas

AU - Lau, Matthew K.

AU - Han, Xueyuan

AU - Fong, Elizabeth

AU - Lerner, Barbara S.

AU - Boose, Emery R.

AU - Crosas, Merce

AU - Ellison, Aaron M.

AU - Seltzer, Margo

PY - 2018/8

Y1 - 2018/8

N2 - 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.

AB - 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.

KW - computational reproducibility

KW - provenance

KW - reproducible code

KW - reproducible research

KW - scientific computing

KW - software artifact

UR - https://www.scopus.com/pages/publications/85050016565

UR - https://arxiv.org/abs/1803.05808

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DO - 10.1109/MCSE.2018.042781334

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JF - Computing in Science and Engineering

IS - 4

ER -

Sharing and preserving computational analyses for posterity with encapsulator

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Keywords

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