Computational reproducibility: State-of-the-art, challenges, and database research opportunities

Juliana Freire, Philippe Bonnet, Dennis Shasha

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

Abstract

Computational experiments have become an integral part of the scientific method, but reproducing, archiving, and querying them is still a challenge. The first barrier to a wider adoption is the fact that it is hard both for authors to derive a compendium that encapsulates all the components needed to reproduce a result and for reviewers to verify the results. In this tutorial, we will present a series of guidelines and, through hands-on examples, review existing tools to help authors create of reproducible results. We will also outline open problems and new directions for database-related research having to do with querying computational experiments.

Original languageEnglish (US)
Title of host publicationSIGMOD '12 - Proceedings of the International Conference on Management of Data
Pages593-596
Number of pages4
DOIs
StatePublished - Jun 28 2012
Event2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12 - Scottsdale, AZ, United States
Duration: May 21 2012May 24 2012

Publication series

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

Other

Other2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12
CountryUnited States
CityScottsdale, AZ
Period5/21/125/24/12

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Keywords

  • computational reproducibility
  • reproducible publications

ASJC Scopus subject areas

  • Software
  • Information Systems

Cite this

Freire, J., Bonnet, P., & Shasha, D. (2012). Computational reproducibility: State-of-the-art, challenges, and database research opportunities. In SIGMOD '12 - Proceedings of the International Conference on Management of Data (pp. 593-596). (Proceedings of the ACM SIGMOD International Conference on Management of Data). https://doi.org/10.1145/2213836.2213908