Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences

被引：3

作者：

Simko, Tibor ^{[1
]}

Cranmer, Kyle ^{[2
]}

Crusoe, Michael R. ^{[3
]}

Heinrich, Lukas ^{[2
]}

Khodak, Anton ^{[4
]}

Kousidis, Dinos ^{[1
]}

Rodriguez, Diego ^{[1
]}

机构：

[1] CERN, Geneva, Switzerland

[2] NYU, New York, NY USA

[3] Common Workflow Language, Vilnius, Lithuania

[4] Wellcome Sanger Inst, Hinxton, England

来源：

2018 IEEE 14TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE 2018) | 2018年

基金：

美国国家科学基金会;

关键词：

reproducible science; data preservation; data analysis; computational workflows;

D O I：

10.1109/eScience.2018.00123

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the applicability of CWL, to particle physics analyses and look for synergies in computational practices in the two communities.

引用

页码：403 / 404

页数：2