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Conference Paper/Proceeding/Abstract 129 views 27 downloads

"Share and Enjoy": Publishing Useful and Usable Scientific Models / Tom, Crick

Proceedings of 7th IEEE/ACM International Conference on Utility and Cloud Computing, Pages: 957 - 961

Swansea University Author: Tom, Crick

DOI (Published version): 10.1109/UCC.2014.156

Abstract

The reproduction and replication of reported scientific results is a hot topic within the academic community. The retraction of numerous studies from a wide range of disciplines, from climate science to bioscience, has drawn the focus of many commentators, but there exists a wider socio-cultural pro...

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Published in: Proceedings of 7th IEEE/ACM International Conference on Utility and Cloud Computing
ISBN: 978-1-4799-7881-6
Published: London, UK IEEE 2014
Online Access: https://ieeexplore.ieee.org/document/7027623/
URI: https://cronfa.swan.ac.uk/Record/cronfa43392
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spelling 2018-10-23T16:53:11.0156180 v2 43392 2018-08-14 &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 2018-08-14 EDUC The reproduction and replication of reported scientific results is a hot topic within the academic community. The retraction of numerous studies from a wide range of disciplines, from climate science to bioscience, has drawn the focus of many commentators, but there exists a wider socio-cultural problem that pervades the scientific community. Sharing code, data and models often requires extra effort, this is currently seen as a significant overhead that may not be worth the time investment. Automated systems, which allow easy reproduction of results, offer the potential to incentives a culture change and drive the adoption of new techniques to improve the efficiency of scientific exploration. In this paper, we discuss the value of improved access and sharing of the two key types of results arising from work done in the computational sciences: models and algorithms. We propose the development of an integrated cloud-based system underpinning computational science, linking together software and data repositories, tool chains, workflows and outputs, providing a seamless automated infrastructure for the verification and validation of scientific models and in particular, performance benchmarks. Conference Paper/Proceeding/Abstract Proceedings of 7th IEEE/ACM International Conference on Utility and Cloud Computing 957 961 IEEE London, UK 978-1-4799-7881-6 8 12 2014 2014-12-08 10.1109/UCC.2014.156 https://ieeexplore.ieee.org/document/7027623/ 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) COLLEGE NANME School of Education COLLEGE CODE EDUC Swansea University 2018-10-23T16:53:11.0156180 2018-08-14T15:45:07.5975557 College of Science Computer Science Tom Crick 0000-0001-5196-9389 1 Benjamin A. Hall 2 Samin Ishtiaq 3 Kenji Takeda 4 0043392-11092018064937.pdf 1409.0367v2.pdf 2018-09-11T06:49:37.0200000 Output 146075 application/pdf Accepted Manuscript true 2018-09-11T00:00:00.0000000 true eng
title &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
spellingShingle &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
Tom, Crick
title_short &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
title_full &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
title_fullStr &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
title_full_unstemmed &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
title_sort &quot;Share and Enjoy&quot;: Publishing Useful and Usable Scientific Models
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Tom, Crick
author Tom, Crick
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description The reproduction and replication of reported scientific results is a hot topic within the academic community. The retraction of numerous studies from a wide range of disciplines, from climate science to bioscience, has drawn the focus of many commentators, but there exists a wider socio-cultural problem that pervades the scientific community. Sharing code, data and models often requires extra effort, this is currently seen as a significant overhead that may not be worth the time investment. Automated systems, which allow easy reproduction of results, offer the potential to incentives a culture change and drive the adoption of new techniques to improve the efficiency of scientific exploration. In this paper, we discuss the value of improved access and sharing of the two key types of results arising from work done in the computational sciences: models and algorithms. We propose the development of an integrated cloud-based system underpinning computational science, linking together software and data repositories, tool chains, workflows and outputs, providing a seamless automated infrastructure for the verification and validation of scientific models and in particular, performance benchmarks.
published_date 2014-12-08T13:58:03Z
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