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ArticleAn invariant framework for conducting reproducible computational science

Haiyan Meng2015

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Articlebronze2015

An invariant framework for conducting reproducible computational science

Haiyan Meng · Rupa Kommineni · Robert William Gardner Jr · Tanu Malik · Douglas Thain

30 citations·0/0 files stored·Journal of Computational Science

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Scientific Computing and Data Management Distributed and Parallel Computing Systems Distributed systems and fault tolerance

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References

2015An introduction to Docker for reproducible research 1996From scientific software libraries to problem-solving environments 2001Divorcing Language Dependencies from a Scientific Software Library.2013Using provenance for repeatability 2009Towards a Methodology for Software Preservation 2013A distributed archival network for process-oriented autonomic long-term digital preservation 2013Consider the Source: The Value of Source Code to Digital Preservation Strategies 2012To envisage and design the transition from a digital archive system developed for domain experts to one for non-domain users

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2016A framework for scientific workflow reproducibility in the cloud 2016Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3)2018Utilizing Provenance in Reusable Research Objects 2015ActivePapers: a platform for publishing and archiving computer-aided research 2020Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research

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Details

Year2015

Typearticle

Published2015-04-18

VenueJournal of Computational Science

ISSN-L1877-7503

Languageen

Citations30

Files0 public / 0

ShelfScientific Computing and Data Management

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doi10.1016/j.jocs.2015.04.012

openalex_workW2049776754

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2017Facilitating the Reproducibility of Scientific Workflows with Execution Environment Specifications

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