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Conference Paper/Proceeding/Abstract 927 views 79 downloads

"Can I Implement Your Algorithm?": A Model for Reproducible Research Software

Tom Crick Orcid Logo, Benjamin A. Hall, Samin Ishtiaq

2nd Workshop on Sustainable Software for Science: Practice and Experiences

Swansea University Author: Tom Crick Orcid Logo

Abstract

The reproduction and replication of novel results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the issues closely revolve around the ability to implement novel algorithms and approaches. Taking an...

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Published in: 2nd Workshop on Sustainable Software for Science: Practice and Experiences
Published: New Orleans, USA 2014
Online Access: https://arxiv.org/abs/1407.5981
URI: https://cronfa.swan.ac.uk/Record/cronfa43757
first_indexed 2018-09-11T12:59:38Z
last_indexed 2023-01-11T14:20:30Z
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spelling 2022-12-18T17:45:02.9312055 v2 43757 2018-09-11 "Can I Implement Your Algorithm?": A Model for Reproducible Research Software 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-09-11 SOSS The reproduction and replication of novel results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the issues closely revolve around the ability to implement novel algorithms and approaches. Taking an approach from the literature and applying it to a new codebase frequently requires local knowledge missing from the published manuscripts and project websites. Alongside this issue, benchmarking, and the development of fair --- and widely available --- benchmark sets present another barrier.In this paper, we outline several suggestions to address these issues, driven by specific examples from a range of scientific domains. Finally, based on these suggestions, we propose a new open platform for scientific software development which effectively isolates specific dependencies from the individual researcher and their workstation and allows faster, more powerful sharing of the results of scientific software engineering. Conference Paper/Proceeding/Abstract 2nd Workshop on Sustainable Software for Science: Practice and Experiences New Orleans, USA 16 11 2014 2014-11-16 https://arxiv.org/abs/1407.5981 2nd Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2) COLLEGE NANME Social Sciences School COLLEGE CODE SOSS Swansea University 2022-12-18T17:45:02.9312055 2018-09-11T07:45:25.5660184 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Tom Crick 0000-0001-5196-9389 1 Benjamin A. Hall 2 Samin Ishtiaq 3 0043757-11092018074653.pdf 1407.5981v2.pdf 2018-09-11T07:46:53.4900000 Output 215055 application/pdf Version of Record true 2018-09-11T00:00:00.0000000 true eng
title "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
spellingShingle "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
Tom Crick
title_short "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
title_full "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
title_fullStr "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
title_full_unstemmed "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
title_sort "Can I Implement Your Algorithm?": A Model for Reproducible Research Software
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick
author Tom Crick
author2 Tom Crick
Benjamin A. Hall
Samin Ishtiaq
format Conference Paper/Proceeding/Abstract
container_title 2nd Workshop on Sustainable Software for Science: Practice and Experiences
publishDate 2014
institution Swansea University
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
url https://arxiv.org/abs/1407.5981
document_store_str 1
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description The reproduction and replication of novel results has become a major issue for a number of scientific disciplines. In computer science and related computational disciplines such as systems biology, the issues closely revolve around the ability to implement novel algorithms and approaches. Taking an approach from the literature and applying it to a new codebase frequently requires local knowledge missing from the published manuscripts and project websites. Alongside this issue, benchmarking, and the development of fair --- and widely available --- benchmark sets present another barrier.In this paper, we outline several suggestions to address these issues, driven by specific examples from a range of scientific domains. Finally, based on these suggestions, we propose a new open platform for scientific software development which effectively isolates specific dependencies from the individual researcher and their workstation and allows faster, more powerful sharing of the results of scientific software engineering.
published_date 2014-11-16T04:35:52Z
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score 11.04748

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