Exploring the coming repositories of reproducible experiments: Challenges and opportunities

Juliana Freire; Philippe Bonnet; Dennis Shasha

Exploring the coming repositories of reproducible experiments: Challenges and opportunities

Juliana Freire^*, Philippe Bonnet, Dennis Shasha

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

9 Citations (Scopus)

Abstract

Computational reproducibility efforts in many communities will soon give rise to validated software and data repositories of high quality. A scientist in a field may want to query the components of such repositories to build new software workflows, perhaps after adding the scientist's own algorithms. This paper explores research challenges necessary to achieving this goal.

Original language	English
Journal	Proceedings of the VLDB Endowment
Volume	4
Issue number	12
Pages (from-to)	1494-1497
Number of pages	4
ISSN	2150-8097
Publication status	Published - Aug 2011
Externally published	Yes

Bibliographical note

Funding Information:
This work has been partially funded by the National Science Foundation under grants IIS-1050422, IIS-0905385, IIS-0746500, CNS-0751152, N2010 IOB-0519985, N2010 DBI-0519984, IIS-0414763, DBI-0445666, DBI-0421604, DBI-0421604, and MCB-0209754.

Cite this

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abstract = "Computational reproducibility efforts in many communities will soon give rise to validated software and data repositories of high quality. A scientist in a field may want to query the components of such repositories to build new software workflows, perhaps after adding the scientist's own algorithms. This paper explores research challenges necessary to achieving this goal.",

author = "Juliana Freire and Philippe Bonnet and Dennis Shasha",

note = "Funding Information: This work has been partially funded by the National Science Foundation under grants IIS-1050422, IIS-0905385, IIS-0746500, CNS-0751152, N2010 IOB-0519985, N2010 DBI-0519984, IIS-0414763, DBI-0445666, DBI-0421604, DBI-0421604, and MCB-0209754.",

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AU - Shasha, Dennis

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AB - Computational reproducibility efforts in many communities will soon give rise to validated software and data repositories of high quality. A scientist in a field may want to query the components of such repositories to build new software workflows, perhaps after adding the scientist's own algorithms. This paper explores research challenges necessary to achieving this goal.

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Exploring the coming repositories of reproducible experiments: Challenges and opportunities

Abstract

Bibliographical note

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Cite this