ReproServer: Making Reproducibility Easier and Less Intensive
Reproducibility in the computational sciences has been stymied because of the complex and rapidly changing computational environments in which modern research takes place. While many will espouse reproducibility as a value, the challenge of making it happen (both for themselves and testing the repro...
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creator | Rampin, Remi Chirigati, Fernando Steeves, Vicky Freire, Juliana |
description | Reproducibility in the computational sciences has been stymied because of the
complex and rapidly changing computational environments in which modern
research takes place. While many will espouse reproducibility as a value, the
challenge of making it happen (both for themselves and testing the
reproducibility of others' work) often outweigh the benefits. There have been a
few reproducibility solutions designed and implemented by the community. In
particular, the authors are contributors to ReproZip, a tool to enable
computational reproducibility by tracing and bundling together research in the
environment in which it takes place (e.g. one's computer or server). In this
white paper, we introduce a tool for unpacking ReproZip bundles in the cloud,
ReproServer. ReproServer takes an uploaded ReproZip bundle (.rpz file) or a
link to a ReproZip bundle, and users can then unpack them in the cloud via
their browser, allowing them to reproduce colleagues' work without having to
install anything locally. This will help lower the barrier to reproducing
others' work, which will aid reviewers in verifying the claims made in papers
and reusing previously published research. |
doi_str_mv | 10.48550/arxiv.1808.01406 |
format | Article |
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complex and rapidly changing computational environments in which modern
research takes place. While many will espouse reproducibility as a value, the
challenge of making it happen (both for themselves and testing the
reproducibility of others' work) often outweigh the benefits. There have been a
few reproducibility solutions designed and implemented by the community. In
particular, the authors are contributors to ReproZip, a tool to enable
computational reproducibility by tracing and bundling together research in the
environment in which it takes place (e.g. one's computer or server). In this
white paper, we introduce a tool for unpacking ReproZip bundles in the cloud,
ReproServer. ReproServer takes an uploaded ReproZip bundle (.rpz file) or a
link to a ReproZip bundle, and users can then unpack them in the cloud via
their browser, allowing them to reproduce colleagues' work without having to
install anything locally. This will help lower the barrier to reproducing
others' work, which will aid reviewers in verifying the claims made in papers
and reusing previously published research.</description><identifier>DOI: 10.48550/arxiv.1808.01406</identifier><language>eng</language><subject>Computer Science - Digital Libraries ; Computer Science - Software Engineering</subject><creationdate>2018-08</creationdate><rights>http://creativecommons.org/licenses/by-nc-sa/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1808.01406$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1808.01406$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Rampin, Remi</creatorcontrib><creatorcontrib>Chirigati, Fernando</creatorcontrib><creatorcontrib>Steeves, Vicky</creatorcontrib><creatorcontrib>Freire, Juliana</creatorcontrib><title>ReproServer: Making Reproducibility Easier and Less Intensive</title><description>Reproducibility in the computational sciences has been stymied because of the
complex and rapidly changing computational environments in which modern
research takes place. While many will espouse reproducibility as a value, the
challenge of making it happen (both for themselves and testing the
reproducibility of others' work) often outweigh the benefits. There have been a
few reproducibility solutions designed and implemented by the community. In
particular, the authors are contributors to ReproZip, a tool to enable
computational reproducibility by tracing and bundling together research in the
environment in which it takes place (e.g. one's computer or server). In this
white paper, we introduce a tool for unpacking ReproZip bundles in the cloud,
ReproServer. ReproServer takes an uploaded ReproZip bundle (.rpz file) or a
link to a ReproZip bundle, and users can then unpack them in the cloud via
their browser, allowing them to reproduce colleagues' work without having to
install anything locally. This will help lower the barrier to reproducing
others' work, which will aid reviewers in verifying the claims made in papers
and reusing previously published research.</description><subject>Computer Science - Digital Libraries</subject><subject>Computer Science - Software Engineering</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj0FrwjAYhnPxMHQ_YKflD7RLm-QzFTyIOCdUhG738qX5OoJaJXFF_73YeXrgPTy8D2NvmUiV0Vp8YLj6Ps2MMKnIlIAXNq_oHE7fFHoKM77Fve9--bC5v8Zbf_CXG19h9BQ4do6XFCPfdBfqou9pwkYtHiK9Pjlm1efqZ_mVlLv1ZrkoE4QpJDJzAFKK3LTWWYOFzIFs2wiEZqqgIK2sbHIjrYZCtxbBFA6FclahzuWYvf9Lh_f1Ofgjhlv9qKiHCnkHo85COA</recordid><startdate>20180803</startdate><enddate>20180803</enddate><creator>Rampin, Remi</creator><creator>Chirigati, Fernando</creator><creator>Steeves, Vicky</creator><creator>Freire, Juliana</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20180803</creationdate><title>ReproServer: Making Reproducibility Easier and Less Intensive</title><author>Rampin, Remi ; Chirigati, Fernando ; Steeves, Vicky ; Freire, Juliana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a676-31d6633028fbdb8a9326ebfc0a6c7469e54b3c283b5695fba689da04db4a523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer Science - Digital Libraries</topic><topic>Computer Science - Software Engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Rampin, Remi</creatorcontrib><creatorcontrib>Chirigati, Fernando</creatorcontrib><creatorcontrib>Steeves, Vicky</creatorcontrib><creatorcontrib>Freire, Juliana</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rampin, Remi</au><au>Chirigati, Fernando</au><au>Steeves, Vicky</au><au>Freire, Juliana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ReproServer: Making Reproducibility Easier and Less Intensive</atitle><date>2018-08-03</date><risdate>2018</risdate><abstract>Reproducibility in the computational sciences has been stymied because of the
complex and rapidly changing computational environments in which modern
research takes place. While many will espouse reproducibility as a value, the
challenge of making it happen (both for themselves and testing the
reproducibility of others' work) often outweigh the benefits. There have been a
few reproducibility solutions designed and implemented by the community. In
particular, the authors are contributors to ReproZip, a tool to enable
computational reproducibility by tracing and bundling together research in the
environment in which it takes place (e.g. one's computer or server). In this
white paper, we introduce a tool for unpacking ReproZip bundles in the cloud,
ReproServer. ReproServer takes an uploaded ReproZip bundle (.rpz file) or a
link to a ReproZip bundle, and users can then unpack them in the cloud via
their browser, allowing them to reproduce colleagues' work without having to
install anything locally. This will help lower the barrier to reproducing
others' work, which will aid reviewers in verifying the claims made in papers
and reusing previously published research.</abstract><doi>10.48550/arxiv.1808.01406</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Digital Libraries Computer Science - Software Engineering |
title | ReproServer: Making Reproducibility Easier and Less Intensive |
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