Data and Software Preservation for Open Science (DASPOS)

M. Hildreth
{"title":"Data and Software Preservation for Open Science (DASPOS)","authors":"M. Hildreth","doi":"10.1109/ICDEW.2014.6818318","DOIUrl":null,"url":null,"abstract":"Data and Software Preservation for Open Science (DASPOS), represents a first attempt to establish a formal collaboration tying together physicists from the CMS and ATLAS experiments at the LHC and the Tevatron experiments with experts in digital curation, heterogeneous high-throughput storage systems, large-scale computing systems, and grid access and infrastructure. Recently funded by the National Science Foundation, the project is organizing multiple workshops aimed at understanding use cases for data, software, and knowledge preservation in High Energy Physics and other scientific disciplines, including BioInformatics and Astrophysics. The goal of this project is the technical development and specification of an architecture for curating HEP data and software to the point where the repetition of a physics analysis using only the archived data, software, and analysis description is possible. The novelty of this effort is this holistic approach, where not only data but also software and frameworks necessary to use the data are part of the preservation effort, making it true “physics preservation” rather than merely data preservation.","PeriodicalId":302600,"journal":{"name":"2014 IEEE 30th International Conference on Data Engineering Workshops","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 30th International Conference on Data Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDEW.2014.6818318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Data and Software Preservation for Open Science (DASPOS), represents a first attempt to establish a formal collaboration tying together physicists from the CMS and ATLAS experiments at the LHC and the Tevatron experiments with experts in digital curation, heterogeneous high-throughput storage systems, large-scale computing systems, and grid access and infrastructure. Recently funded by the National Science Foundation, the project is organizing multiple workshops aimed at understanding use cases for data, software, and knowledge preservation in High Energy Physics and other scientific disciplines, including BioInformatics and Astrophysics. The goal of this project is the technical development and specification of an architecture for curating HEP data and software to the point where the repetition of a physics analysis using only the archived data, software, and analysis description is possible. The novelty of this effort is this holistic approach, where not only data but also software and frameworks necessary to use the data are part of the preservation effort, making it true “physics preservation” rather than merely data preservation.
开放科学的数据和软件保存(DASPOS)
开放科学数据和软件保存(DASPOS)代表了首次尝试建立正式合作,将来自大型强子对撞机CMS和ATLAS实验的物理学家与数字管理、异构高通量存储系统、大规模计算系统以及网格访问和基础设施方面的专家联系在一起。最近由美国国家科学基金会资助,该项目正在组织多个研讨会,旨在了解高能物理学和其他科学学科(包括生物信息学和天体物理学)中数据、软件和知识保存的用例。该项目的目标是技术开发和规范用于管理HEP数据和软件的体系结构,以便仅使用存档数据、软件和分析描述来重复物理分析。这项工作的新颖之处在于这种整体方法,不仅数据,而且使用数据所需的软件和框架都是保存工作的一部分,使其成为真正的“物理保存”,而不仅仅是数据保存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信