Packing experiments for sharing and publication

Fernando Chirigati, Dennis Shasha, Juliana Freire

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Reproducibility is a core component of the scientific process. Revisiting and reusing past results allow science to move forward - "standing on the shoulders of giants", as Newton once said. An impediment to the adoption of computational reproducibility is that authors find it difficult to generate a compendium that en compasses all the required components to correctly reproduce their experiments. Even when a compendium is available, reviewers and readers may have difficulties in verifying the results on platforms different from the ones where the experiments were originally run. As a step towards simplifying the process of creating reproducible experiments, we have developed ReproZip, a tool that automatically captures the provenance of experiments and packs all the necessary files, library dependencies and variables to reproduce the results. Reviewers can then unpack and run the experiments without having to install any additional software. We will demonstrate real use cases for ReproZip, how packages are created, and how reviewers can validate and explore experiments.

Original languageEnglish (US)
Title of host publicationSIGMOD 2013 - International Conference on Management of Data
Number of pages4
StatePublished - 2013
Event2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013 - New York, NY, United States
Duration: Jun 22 2013Jun 27 2013

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078


Other2013 ACM SIGMOD Conference on Management of Data, SIGMOD 2013
Country/TerritoryUnited States
CityNew York, NY


  • Computational Reproducibility
  • Provenance
  • ReproZip

ASJC Scopus subject areas

  • Software
  • Information Systems


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